Data scientist jobs in Greenville, SC

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Analyse and identify the linkages and interactions between the component parts of an entire system. * Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. * Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. * Develop skills outside your comfort zone, and encourage others to do the same. * Effectively mentor others. * Use the review of work as an opportunity to deepen the expertise of team members. * Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach * Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps * Structuring, write, communicate and facilitate client presentations; and, * Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

Job ID 485016 Posted since 20-Nov-2025 Organization Smart Infrastructure Field of work Information Technology Company Siemens Industry, Inc. Experience level Mid-level Professional Job type Full-time Work mode Office/Site only Employment type Permanent * Grand Prairie - Texas - United States of America * Spartanburg - South Carolina - United States of America Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrive is if our people are thriving. That's why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you? Transform the every day with us! We are seeking a Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will work closely with cross-functional teams to extract insights from large datasets, develop predictive models, and contribute to data-driven decision-making processes. You will work with various Siemens' organizations focused on driving business value and decisions from large data models. You will make an impact by: * Collecting, cleaning, and preprocessing large datasets from various sources. * Developing and implementing machine learning models and algorithms to solve complex business problems. * Performing exploratory data analysis to identify trends, patterns, and anomalies. * Collaborating with stakeholders to understand business requirements and translate them into data-driven solutions. * Communicating findings and insights through data visualization and reports. * Staying up to date with the latest industry trends and advancements in data science and machine learning. You'll win us over by having the following qualifications: Basic Qualifications: * Bachelor's or Graduate degree in Computer Science, Information Technology, or a related field. * At least three years' experience working as a data engineer, data architect, or related roles. * Experience working with cloud platforms, such as AWS, Azure, Snowflake. * Experience with machine learning frameworks (e.g., TensorFlow, SageMaker, AzureML) * Experience working with real-time data integration techniques and tools, such as Model Context Protocol (MCP), APIs, Kafka. * Experience with data visualization tools (e.g., Tableau, Power BI). * Legally authorized to work in the United States on a continual and permanent basis without company sponsorship. Preferred Qualifications: * Proven experience as a Data Scientist or in a similar role. * Proven experience working with relational databases such as SQL, Postgres * Proficiency in programming languages such as Python and/or R * Experience working with Manufacturing datasets and industrial protocols (OPC-UA, MQTT) * Experience with data governance frameworks and practices. * Strong analytical and problem-solving skills. * Excellent communication and teamwork abilities. About Siemens We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here. Our Commitment to Equity and Inclusion in our Diverse Global Workforce We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us. #LI-VC1 #On-Site #siemenstradesperson #SiemensMFGcareer #MFGFortWorthTX #MFGTX You'll Benefit From Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: ***************************************************** The pay range for this position is $102,459 - $193,147 annually with a target incentive of of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. Reasonable Accommodations If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at **************. Please note our AskHR representatives do not have visibility of application or interview status. Pay Transparency Siemens follows Pay Transparency laws. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here. Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

Welcome to Furman University's Career Site! * IMPORTANT: Load all documents in the My Experience area under Resume/CV. This may include your resume/C.V., cover letter, unofficial transcript, teaching philosophy, etc. Please wait for all documents to finish uploading before clicking Next. * If the process times out you will lose your progress, so please ensure you have all necessary documents available before starting. * The drop-down lists only display so many options: please type into a drop-down list to search for your option. For example: in Field of Study, you may need to enter your field name. If you have no field, type "None." * If you have previously applied, make sure your information is current as you can transfer it to another application. * Prior to submitting your application, verify all information for accuracy and ensure you have uploaded all appropriate documents. Once submitted, you will not be able to edit your application other than to change your contact information. If you have any questions or need additional assistance, please contact the Office of Human Resources via email at ********************** or by calling ************. Job Title: Data Scientist for Enrollment Management Job Family: Professionals Full-Time/Part-Time: Full time Compensation Grade: 10S Pay Type: Salary Department: VP for Enrollment Job Summary: Reporting to the Vice President for Enrollment Management, the Data Scientist is a member of the Enrollment Management senior leadership team and understands admission and financial aid strategies for undergraduate students and how to harness data, influence, and model admissions decisions, financial aid, enrollment, and student success. The Data Scientist will gather, interpret, monitor and analyze data policies, procedures and outcomes. The Data Scientist will use software engineering, statistics, and machine learning to automate processes and develop solutions to enrollment challenges. Job Description: Essential Job Duties: Design and conduct complex data analysis using student application data, demographic information, financial aid data, student success data, and other relevant sources. Develop and implement sophisticated predictive models to inform recruitment, selection, yield, and financial aid strategies. Use data reporting tools available through third parties such as the National Student Clearinghouse and data sharing consortiums to analyze trends and inform strategies throughout the enrollment cycle. Create useful data visualizations and reports to effectively communicate complex findings to both highly technical and non-technical audiences. Partner with Admissions, Financial Aid, and Marketing teams to translate data insights into actionable strategies. Maintain a strong working relationship with Institutional Technology. Acquire a deep understanding of relevant aspects of undergraduate admissions at Furman. Develop relationships with key stakeholders across campus, become familiar with data relating to admissions priorities, and stay abreast with national context (including current events, court cases, and academic research Stay up to date on the latest trends and techniques in data science and enrollment management. Maintain data security and integrity and ensure compliance with all FERPA regulations. Proactively seek and locate data, including outside benchmarks or comparative data, to support or refute proposed decisions. May need to collaborate with other organizations to gather data. Drive the collection of new data resources and refinement of existing resources. Research and propose options for the collection and warehousing of new data, particularly data that is new to the admissions ecosystem. In partnership with Institutional Research partners, determine appropriate methodology for data extraction, transformation, storage, and usage. Develop processes for loading and updating data that are efficient and re-usable. Document all data and transformations thoroughly. Set the research agenda for the department, working with the senior management team to ensure an on-going commitment to understanding and evaluating our work. Collaborate with various research teams including Institutional Research Office. Contribute positively to other duties and projects as assigned. Basic Qualifications: Master's degree in data science, math, statistics, computer science, or a related quantitative field. Minimum 2 years of experience in a data science role. Strong programming skills in data analysis languages. The ability to construct large SQL databases and query them. Expertise in building useful and complex data visualizations. Extensive experience in and strong passion for empirical research and answering hard questions with data. Preferred Qualifications Data science experience in the education sector. Previous experience working in higher education admissions or related field with organizational processes preferred. Education Requirements: Certification Requirements: Job Posting End Date (if date is blank, posting is open ended):

Launch your career with us! We're looking for students graduating between Fall 2025 and Summer 2026 who are ready to jump in and start full-time in 2026. Are you driven to uncover insights and solve complex problems using advanced analytics and machine learning? If so, launch your career with us as a Data Scientist!About American Credit AcceptanceAmerican Credit Acceptance is a leading auto finance company known for innovative solutions and a strong commitment to growth. We're proud to have delivered double-digit growth for the past 10 years, and today we manage over $5 billion in assets. Join our collaborative culture, apply your skills to meaningful challenges, and help shape the future of auto finance for the emerging credit consumer.Responsibilities:Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Analyze large amounts of structured and unstructured data using scientific methods and algorithms to develop knowledge and insights and improve business performance in impact areas including pricing modeling, financial returns, web analytics, call analytics, speech analytics, fraud analytics, forecasting, and auction analysis. Understand and apply mathematical theory by developing and leveraging predictive models, boosted models, decision trees/Random forests, Support Vector Machine (SVM), neural networks/deep learning, regression modeling, experimental design, and other techniques. Leverage R, Python, SQL, Tableau, and other quantitative analytical techniques to extract and manipulate data, as well as to develop, analyze, validate and deploy predictive models. Engage across functional areas, including Operations, Legal, Compliance, Informational Technology, Vendor Management, and Finance to develop an understanding of fields to which statistical methods are to be applied and to determine which methods and results are appropriate. Leverage statistical models and collaborate closely with technology and business groups to analyze operational feasibility, implementation, and production integration. Develop profitability analyses to assess the financial value of new models. Develop monitoring of model inputs, sampling techniques, and performance and make changes to models when needed. Create statistically derived tests to grow business knowledge and measure the impact of hypotheses. Research and evaluate advanced statistical techniques using machine learning and artificial intelligence techniques to advance knowledge and pursue new approaches. Report results of statistical analyses and present written recommendations in a clear manner to senior executives. Consistently consider, and follow, ACA's Guiding Principles Qualifications: Bachelor's or higher degree (or its equivalent) in Mathematics, Statistics, or a related analytical field with exceptional academic performance (3.4 or higher GPA) Experience validating and monitoring models using statistical techniques and KPIs relevant in a business environment Exceptional written and verbal communication, specifically, the ability to convey results to both technical, and non-technical, audiences effectively Ability to manage multiple projects/tasks and prioritize them based on impact The ability to quickly assess problems and find workable solutions within a business framework (understanding that added complexity does not always lead to added performance) Guiding PrinciplesTo succeed in this role, you'll demonstrate ACA's core values: Integrity, Partnership, Humility, Principled Entrepreneurship, Initiative, and Fulfillment. Work Environment and Physical Demands This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. This position is required to lift at least 50 pounds and have the mobility to keep the storage areas orderly and floors cleaned of IT clutter. Position Type/Expected Hours of Work This is a full-time position with a work schedule of Monday-Friday with some schedule variations as needed including on-call coverage rotation. Occasional night or weekend work for special projects.EEO Statement ACA provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. ACA complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. California Privacy Notice As an employer of California residents, we are dedicated to protecting your privacy rights. Any personal information you provide during the application process will be used solely for permitted internal purposes and will be handled in accordance with applicable privacy laws. By applying to this position, you consent to the collection, use, and disclosure of your personal information as described in our Employee Privacy Notice.

Company :Highmark Inc. : This job is an ASA Certified actuary position that initiates and leads the development of actuarial studies and analyses. Gives direction to less experienced staff and will represent the department's perspectives and needs in cross disciplinary settings. The incumbent applies actuarial techniques and statistical analysis to several functions, including insurance premium and pricing development, claim trend analysis, experience studies, medical economics, profitability analysis, wellness studies, predictive modeling, or claim reserving. ESSENTIAL RESPONSIBILITIES Define & diagnose a problem. Outline data requirements for a study or analysis and devise insightful and creative solutions. Uncover the root causes of problems and reject superficial explanations. Review the appropriateness of the results in light of experience and industry knowledge. Consider alternate explanations or viewpoints before drawing conclusions. Initiate and lead the development of studies, analyses, and presentation materials needed to appropriately inform decision makers. Make appropriate recommendations to management across teams both within and outside of the actuarial department while understanding the implications and consequences to all stakeholders. Proactively ensure the internal and external consistency of all work. Use advanced industry knowledge to both perform reasonability checks as well as exceed customer expectations. Identify methods to test whether suspect results are correct. Form reasonable approximations in advance of results of an analysis and determine whether deviations are reasonable or suspect. Clarify information as needed. Take the initiative to utilize internal and external knowledge forums to gain broader industry perspective. Demonstrate subject matter expertise and as a result is sought out by others for technical input on producing accurate and efficient work. Promptly and efficiently identify outliers and anomalies in the work of others. Exhibit a thorough understanding of both corporate and division goals and values. Apply corporate, professional, and industry knowledge & insight to all tasks under incumbent's control or influence. Use expertise to envision and implement innovative new processes and propose changes to existing processes, leading to improved outcomes that better conform to corporate goals, objectives, and values. Demonstrate a capacity to shift between “big picture” and “detailed” thinking when analyzing issues and their strategic importance. Independently manage own time and resources across many projects. Demonstrate responsiveness, confidence, flexibility and ability to independently prioritize when shifting from one task to another. Comfortable in a dynamic, changing environment. Approach new challenges with anticipation and a view towards success. Identify emerging opportunities, establish project objectives, specify strategies, and organize necessary tasks. Keep manager informed. Interact with stakeholders in a manner that fosters cooperation and teamwork while conveying engagement and competence. Enhance department influence by providing responsive service and understanding customer needs. Effectively and confidently present information and provide decision support to team members and executive management. Consider alternate points of view on issues, demonstrating sensitivity to others' situations. Maintain positive, productive working relationships despite differing or conflicting situations and personalities. Correctly interpret direct and indirect messages and verbal and non-verbal behaviors and respond appropriately. Engage, motivate, and mentor less experienced staff on a regular basis in a positive manner that fosters teamwork and excellence. Listen, take direction, accept criticism and feedback and adjust behavior accordingly to improve performance. Demonstrate flexibility and proactively take on additional work as needed by the team, leading by example. Represent department's perspectives and needs in cross disciplinary settings, and negotiate appropriate compromises and solutions in a way that results in effective action. Tailor work to the needs of direct management and business partners and make recommendations that have an impact beyond their role. Assume responsibility for own actions and the consequences for actions undertaken and decisions made. Other duties as assigned or requested. EDUCATION Required Bachelor's Degree in Actuarial Science, Mathematics, Statistics or closely related field Substitutions None Preferred None EXPERIENCE Required 5 years Actuarial experience in area of specialization Preferred Pursuing FSA exams towards FSA Certification LICENSES AND CERTIFICATIONS Required Associate of the Society of Actuaries (ASA) Preferred Fellow of the Society of Actuaries (FSA) SKILLS Possesses and applies a comprehensive and in-depth knowledge of actuarial principles, concepts, practices and processes within multiple fields or disciplines Possesses significant expertise to complete complex assignments and ability to visualize, articulate, and solve complex problems while leading others to complete complex assignments Develops, designs, and tests analytic frameworks to solve complex problems using innovative approaches Assignments are broad in scope and require depth of knowledge as well as ingenuity and originality Analytical Skills Oral & Written Communication Skills Problem-Solving Language (Other than English): None Travel Requirement: 0% - 25% PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS Position Type Office-based Teaches / trains others regularly Frequently Travel regularly from the office to various work sites or from site-to-site Rarely Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required Frequently Audible Speech Constantly Hear Constantly Position self or move lower on ground, under tables/desks, etc. Never Climb Never Drive Occasionally Reach Frequently Sedentary position Frequently Move Frequently Repetitive Motion Frequently Use Hands/Fingers to Handle or Feel (beyond just data entry) Frequently Vision - Distinguish Color Frequently Vision - Far, Near, Depth Perception Frequently Move, transport, transfer - up to 10 lbs (Sedentary Work) Occasionally Move, transport, transfer - up to 20 lbs (Light Work) Occasionally Move, transport, transfer - up to 50 lbs (Medium Work) Occasionally Move, transport, transfer - excess of 50lbs (Heavy Work) Never Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Pay Range Minimum: $78,900.00 Pay Range Maximum: $147,500.00 Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below. For accommodation requests, please contact HR Services Online at ***************************** California Consumer Privacy Act Employees, Contractors, and Applicants Notice

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Modeling - Manager** **The opportunit** **y** We are looking for a dynamic and experienced Manager of Data Modeling to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills **Your Key Responsibilities** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. + Understand and analyze business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. + Lead the design and development of conceptual, logical, and physical data models for the Enterprise Data Warehouse (EDW), adhering to Kimball dimensional methodology (dimensional modeling approach, a core skill for this role. + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. + Having cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 10+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Strong business acumen with the ability to manage complex client relationships + Proven experience in managing and leading teams within a dynamic environment + Excellent communication and interpersonal skills + Cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. + Experience in leading and influencing teams, with a focus on mentorship and professional development. + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + The ability to foster an inclusive environment that values diverse perspectives and empowers team members. + Spanish speaking + Italian speaking **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Job Title: Data Analytics Engineer Reports to: Data Analytics Manager Employment Type: Full-time Seniority Level: Mid-Level Industry: Manufacturing | Mechanical Power Transmission Components | Engineering Services Job Function: Analysis | Data Collection | Data Reporting | Data Modeling Job Summary: The Dodge Industrial Data Analytics Engineer designs, implements, and maintains systems used to collect and analyze business intelligence data. Uses both strategic and analytical frameworks to create dashboards, databases, and other platforms that allow for efficient collection and evaluation of business intelligence data for internal stakeholders. They work closely with stakeholders across the business to understand BI goals and objectives to ensure the systems and their capabilities support competitive research efforts that achieve those goals. The Data Analytics Engineer is a forward-thinking problem solver who can lead the organization in building a modern data reporting platform that will support data science and business intelligence initiatives for years to come. Key Responsibilities: 1. Data Collection & Cleaning • Gather data from various sources (including but not limited to), S/4 HANA, databases, spreadsheets, and APIs. • Ensure data accuracy, consistency, and completeness through rigorous cleaning and validation processes. • Design, build, and maintain scalable data pipelines from SAP S/4 HANA to SAP Datasphere. • Create and maintain API integrations utilizing MuleSoft to extract data from various enterprise systems as well as transfer data between them. 2. Data Modeling • Develop and optimize SQL queries, stored procedures, and other various Datasphere objects to transform and model data. • Transform raw operational data into well-structured, documented analytics models that utilize best practices for efficiency. • Models should be well documented and easy to consume by both lower-level developers and business stakeholders. 3. Data Analysis & Exploration • Conduct exploratory data analysis (EDA) to uncover patterns, trends, and anomalies. • Utilize statistical methods, machine learning, and data visualization techniques to analyze data and derive meaningful insights. • Develop and implement data models to support business objectives. 4. Reporting & Insights • Develop and distribute regular reports on key performance indicators (KPIs) and metrics. • Provide actionable insights and recommendations based on data analysis findings. • Support data-driven decision-making by presenting findings clearly and concisely. Required Qualifications: • Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. • Strong SQL Skills. • Demonstrated experience with Microsoft Power BI reporting with proficiency In DAX and Power Query (M). • Experience pulling data from ERP systems - (SAP S4 HANA preferred). • ETL/ELT pipeline management. • Strong Python programming language skills. • Cloud Infrastructure - Azure (Preferred), AWS, GCP. • Data Warehousing - Datasphere (Preferred), Snowflake, Synapse, Redshift. • Data Integration and API Development - (MuleSoft preferred). • Microsoft Ecosystem Experience Strongly Preferred. • Database Administration. • Change Management (Azure DevOps, Git, CD/CI). • Machine Learning and AI experience preferred. • REST API Knowledge. Physical Requirements: • Extended periods of sitting at a workstation. • Speaking in person and over the telephone or Teams online and the ability to hear, comprehend, and document detailed information from others. • Ability to type, reach, and grasp. • Intermittent standing and walking within the office environment. • Ability to communicate verbally and in writing over the phone and in person for extended periods. Essential Job Functions: • Design and implement comprehensive data collection systems and analytics processes. • Develop and maintain complex relational databases, ensuring data integrity, efficiency, and security. • Create and optimize SQL queries for large-scale data extraction and manipulation. • In-person collaboration. • Implement data quality controls and perform regular audits to maintain high data standards. • Ability to understand business requirements and transfer that knowledge to create effective data models and reports using Business Intelligence tools such as Power BI. • Ability to organize and lead the implementation of secure, sustainable, and maintainable data models and pipelines that enable data consumption across all organization functions. • Ability to effectively communicate with teams across all functions to understand business data needs and required transformations to ensure data completeness and accuracy. • Extraction, loading, and transformation of information from SAP S4 HANA to Datasphere, primarily using (but not limited to) CDS Views, SQL and Python. • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines. • No full-time remote available. Position resides at Dodge Industrial headquarters in Simpsonville, SC. • Must have work authorization that permits working for Dodge Industrial in the US. • Fluent in spoken and written English. Why Join Us? • Work alongside a collaborative, experienced leadership team. • Be part of an industry leader with a strong brand reputation and an innovation-driven culture. RBC Bearings is an Equal Opportunity Employer, including disability and protected veteran status.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. This is a hybrid work opportunity. Responsibilities: * Lead a team of Azure Data Lake and business intelligence engineers in designing and delivering ADL Pipelines, Notebooks and interactive Power BI dashboards that clearly communicate actionable insights to stakeholders; contribute strategic thought leadership to shape the firm's business intelligence vision and standards * Design and maintain scalable data pipelines using Azure Data Factory and Databricks to ingest, transform, and deliver data across medallion architecture layers; develop production-grade ETL/ELT solutions using PySpark and SQL to produce analytics-ready Delta Lake datasets aligned with enterprise standards * Apply critical thinking and creativity to design innovative, non-standard BI solutions that address complex and evolving business challenges; design, build, and optimize data models to support analytics, ensuring accuracy, reliability, and efficiency * Stay ahead of emerging technologies including Generative AI and AI agents to identify novel opportunities that improve analytics, automation, and decision-making across the enterprise * Manage and provide technical expertise and strategic guidance to counselees (direct reports), department peers, and cross-functional team members; set goals, participate in strategic initiatives for the team, and foster the development of high-performance teams * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum seven years of recent experience designing and building ADL Pipelines and Data bricks notebooks and interactive dashboards using modern business intelligence tools (preferably Power BI); minimum two years of recent experience designing scalable data pipelines using Azure Data Factory and Azure Databricks to support ingestion, transformation, and delivery of data across medallion architecture layers * Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required * Demonstrated analytical and problem-solving abilities, with a creative and methodical approach to addressing complex challenges * Advanced knowledge of SQL, DAX, and data modeling concepts; proven track record in defining, managing, and delivering BI projects; ability to participate in the development of resource plans and influence organizational priorities * Excellent written and verbal communication skills, including the ability to effectively present proposals and vision to executive leadership * Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: ********************************************************************** KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations. Responsibilities * Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. * Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. * Partner with the extended data team to define, develop, and maintain shared data models and definitions. * Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. * Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. * Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. * Support incident resolution and perform root cause analysis for data-related issues. * Create and maintain both business requirement and technical requirement documentation * Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. * Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns. Qualifications * Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. * Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL * Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). * Experience with modern data platforms like Snowflake and Microsoft Fabric. * Solid understanding of Data Modeling, pipeline orchestration and performance optimization * Strong problem-solving skills and ability to troubleshoot complex data issues. * Excellent communication skills, with the ability to work collaboratively in a team environment. * Familiarity with tools like Power BI for data visualization is a plus. * Experience working with or coordinating with overseas teams is a strong plus Preferred Skills * Knowledge of Airflow or other orchestration tools. * Experience working with Git-based workflows and CI/CD pipelines * Experience in the construction industry or a similar field is a plus but not required. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

About Canal Insurance Canal Insurance Company was founded in 1939 and is located in Greenville, South Carolina. Canal specializes in insurance for commercial trucking and specialty transportation operations. While Canal does not write insurance in all states, the claims department handles claims in all 48 contiguous states and Canada. Canal's customers are mainly federally regulated Motor Carriers and as such the core group of customers carry $1,000,000 in liability limits. At Canal, we recognize that our success would not be possible without the hard work and dedication of our employees. We know that happiness and productivity go hand in hand, and to that end, we consciously cultivate a culture that enables us to recruit and retain the very best talent in the business. A Culture With YOU in Mind Located in beautiful downtown Greenville, SC Career growth & advancement opportunities Comprehensive benefits package Employee referral program Casual dress code Innovation-focused & customer-centric 80+ years of industry expertise Committed to giving back to our community Unquestioned integrity and commitment Benefits at Canal Basic & Voluntary Life Insurance Plans Medical, Dental, & Vision Short Term & Long Term Disability 401(k) plan with company match up to 6% Flexible Spending Accounts Employee Assistance Programs Generous PTO Plan Associate Actuarial Analyst: The Associate Actuarial Analyst position is responsible for assisting with the review and analysis of the company's loss and expense reserve development for financial reporting as well as rating analysis in support of underwriting rate filings and experience reporting. Major Accountabilities: Act as key resource for ratemaking, loss reserve studies, financial reporting, forecasting and other special projects as needed for company support and state DOI rate filings. Assist with compiling and ensuring the accuracy of data, organizing information for effectiveness, and collaborating with others in various disciplines as needed. Prepare and maintain complex models, analyzing results, and effectively communicate recommendations while implementing changes to our products and processes Work cross-functionally with other departments to compile accurate data and information in an organized and effective manner Develops understanding of insurance business, products and regulatory environments Demonstrate continued progression in educational achievement, specifically working towards actuarial designations such as ACAS and FCAS. Perform other duties as assigned by Management. Qualifications Education/Training Requirements: Bachelor's degree with a concentration in Mathematics, Actuarial Science, Economics, Statistics or related field required. Must be currently pursuing the designation of ACAS (Associate) in the Casualty Actuarial Society. Actuarial internship preferred but not required. Requires the completion of two or more actuarial exams. R, SQL, Python, PowerBI experience are a plus. Experience/Specialized Skills: Basic knowledge of actuarial methods and analysis required. At least one year of experience working with data and advanced querying skills required. Insurance industry experience preferred, but not required. Able to function independently with strong time management skills. Advanced computer skills (word processing, spreadsheets, databases, Internet, e-mail) required. Special Considerations Physical Requirements: Constant use of vision, hearing, and communication (oral and written in person and via telephone). Frequent concentration, standing, walking, handling, reaching, and grasping. Occasional bending, kneeling and lifting (up to 25 lbs.). Heavy use of computer and office equipment. Additional Requirements: Occasional travel may be required. Periodic work outside of standard business hours or on weekends may be required.

High-impact Senior Actuary opportunity for a Life FSA sought to join a leading Global Reinsurer, structuring and pricing innovative financial reinsurance solutions across North America. Senior Actuary will develop pricing models and analyze transaction data to evaluate deal profitability and structure and collaborate with business development and executives to execute deals and support product innovation. Seeking an ASA/FSA with 8+ years' life (re)insurance experience and strong analytical, problem-solving, communication, and full-cycle project management skills.

Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members. At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals. We offer: Competitive Wages Health/Life Benefits Health Savings Account plus Employer Seed 401(k) Savings Plan with Company Match 3 Weeks of Paid Parental Leave 11 Company Paid Holiday's Paid Time Off including Volunteer Time Vacation Carryover Tuition Reimbursement Work-Life Balance Business Casual Environment Rewards & Recognition Program Employee Assistance Program Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks (for those working onsite or hybrid) To learn more about Purpose Financial visit Purpose Financial Website. Position Summary Purpose Financial is looking for a Data Scientist to join our Data Science team to help support risk management function of our consumer loan portfolio. The ideal candidate will have a strong understanding of data analytics, predictive modeling and is comfortable working with large data sets. This role works closely with the management to perform analysis and help them make informed decisions about lending and managing the risks. Furthermore, this role requires someone who quickly adapts to change and is willing to complete all duties as assigned and requested. Job Responsibility Develop and implement advanced statistical and machine learning models leveraged through the customer lifecycle which includes, (but not limited to) new customer acquisition, underwriting, conversion, collections, and retention. Evaluate the performance of existing models and design experiments to improve model performance via champion/challenger tests. Discover insights from additional data sources to understand/influence consumer financial behavior and continue to enhance machine learning models as additional data becomes available. Independently designs experiments to enable longer term optimization of decisions, line assignment, and offer terms across our menu of financial products and customer segments. Collaborate with Finance and Business Intelligence to build and improve monitoring of portfolio KPIs and product strategy. Develop automated processes and procedures to streamline data analysis and reporting. Monitor trends in relevant KPIs and report on key insights on a regular basis. Stay up to date with the latest developments in data science and machine learning and evaluate how they can be applied to enhance our lending processes Job Responsibilities Cont. Education Required Bachelor's Degree in Computer Science, Economics, Engineering, Mathematics, Statistics, or a related quantitative field. (Advanced Degree preferred.) Experience Required At least 2 years of experience working in an analytical role. Prior experience in developing machine learning models is required. Knowledge Required Experience in building machine learning models using R or Python. Exposure to reporting tools such as Tableau, PowerBI. Experience with the different types of machine learning techniques and the usual Python data science stack (Pandas, scikit-learn, NumPy, XGBoost, SHAP, notebook environments, etc.) is preferred. Working knowledge of SQL. Ability to combine data from multiple sources to analyze and interpret business performance. Excellent written and verbal communications skills as would be needed to communicate in person, by phone, and through email. Adaptability and flexibility to changing environment; and comfortable working in a dynamic, fast-paced environment. Ability to interact professionally and exhibit appropriate social skills. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products. Ability to quickly learn all technology needed to perform the role. Physical Requirements Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location. Competencies Achieve Desired ResultsGo BoldBetter You, Better EveryoneObsess over CustomersGet Sh*t DoneCare. Always.Lead with VisionBe DecisiveOKRShow Up to Coach UpEmbody IntegrityAnalysis/Problem SolvingTravel 5% Attire Business Casual Other Must be eligible to work in the USA and able to pass a background check. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability. Requisition ID: 44300

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Analyse and identify the linkages and interactions between the component parts of an entire system. + Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. + Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. + Develop skills outside your comfort zone, and encourage others to do the same. + Effectively mentor others. + Use the review of work as an opportunity to deepen the expertise of team members. + Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach + Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps + Structuring, write, communicate and facilitate client presentations; and, + Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

**Job Family:** Electrical Products **Req ID:** 485016 Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrive is if our people are thriving. That's why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you? **Transform the every day with us!** We are seeking a Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will work closely with cross-functional teams to extract insights from large datasets, develop predictive models, and contribute to data-driven decision-making processes. You will work with various Siemens' organizations focused on driving business value and decisions from large data models. **You will make an impact by:** + Collecting, cleaning, and preprocessing large datasets from various sources. + Developing and implementing machine learning models and algorithms to solve complex business problems. + Performing exploratory data analysis to identify trends, patterns, and anomalies. + Collaborating with stakeholders to understand business requirements and translate them into data-driven solutions. + Communicating findings and insights through data visualization and reports. + Staying up to date with the latest industry trends and advancements in data science and machine learning. **You'll win us over by having the following qualifications:** **Basic Qualifications:** + Bachelor's or Graduate degree in Computer Science, Information Technology, or a related field. + At least three years' experience working as a data engineer, data architect, or related roles. + Experience working with cloud platforms, such as AWS, Azure, Snowflake. + Experience with machine learning frameworks (e.g., TensorFlow, SageMaker, AzureML) + Experience working with real-time data integration techniques and tools, such as Model Context Protocol (MCP), APIs, Kafka. + Experience with data visualization tools (e.g., Tableau, Power BI). + Legally authorized to work in the United States on a continual and permanent basis without company sponsorship. **Preferred Qualifications:** + Proven experience as a Data Scientist or in a similar role. + Proven experience working with relational databases such as SQL, Postgres + Proficiency in programming languages such as Python and/or R + Experience working with Manufacturing datasets and industrial protocols (OPC-UA, MQTT) + Experience with data governance frameworks and practices. + Strong analytical and problem-solving skills. + Excellent communication and teamwork abilities. **About Siemens** We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here (*********************************************** . **Our Commitment to Equity and Inclusion in our Diverse Global Workforce** We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us. \#LI-VC1 #On-Site #siemenstradesperson #SiemensMFGcareer #MFGFortWorthTX #MFGTX $102,459 $193,147 **Organization:** Smart Infrastructure **Job Type:** Full-time **Category:** Information Technology

Company :Highmark Inc. : This job is an ASA Certified actuary position that initiates and leads the development of actuarial studies and analyses. Gives direction to less experienced staff and will represent the department's perspectives and needs in cross disciplinary settings. The incumbent applies actuarial techniques and statistical analysis to several functions, including insurance premium and pricing development, claim trend analysis, experience studies, medical economics, profitability analysis, wellness studies, predictive modeling, or claim reserving. ESSENTIAL RESPONSIBILITIES Define & diagnose a problem. Outline data requirements for a study or analysis and devise insightful and creative solutions. Uncover the root causes of problems and reject superficial explanations. Review the appropriateness of the results in light of experience and industry knowledge. Consider alternate explanations or viewpoints before drawing conclusions. Initiate and lead the development of studies, analyses, and presentation materials needed to appropriately inform decision makers. Make appropriate recommendations to management across teams both within and outside of the actuarial department while understanding the implications and consequences to all stakeholders. Proactively ensure the internal and external consistency of all work. Use advanced industry knowledge to both perform reasonability checks as well as exceed customer expectations. Identify methods to test whether suspect results are correct. Form reasonable approximations in advance of results of an analysis and determine whether deviations are reasonable or suspect. Clarify information as needed. Take the initiative to utilize internal and external knowledge forums to gain broader industry perspective. Demonstrate subject matter expertise and as a result is sought out by others for technical input on producing accurate and efficient work. Promptly and efficiently identify outliers and anomalies in the work of others. Exhibit a thorough understanding of both corporate and division goals and values. Apply corporate, professional, and industry knowledge & insight to all tasks under incumbent's control or influence. Use expertise to envision and implement innovative new processes and propose changes to existing processes, leading to improved outcomes that better conform to corporate goals, objectives, and values. Demonstrate a capacity to shift between “big picture” and “detailed” thinking when analyzing issues and their strategic importance. Independently manage own time and resources across many projects. Demonstrate responsiveness, confidence, flexibility and ability to independently prioritize when shifting from one task to another. Comfortable in a dynamic, changing environment. Approach new challenges with anticipation and a view towards success. Identify emerging opportunities, establish project objectives, specify strategies, and organize necessary tasks. Keep manager informed. Interact with stakeholders in a manner that fosters cooperation and teamwork while conveying engagement and competence. Enhance department influence by providing responsive service and understanding customer needs. Effectively and confidently present information and provide decision support to team members and executive management. Consider alternate points of view on issues, demonstrating sensitivity to others' situations. Maintain positive, productive working relationships despite differing or conflicting situations and personalities. Correctly interpret direct and indirect messages and verbal and non-verbal behaviors and respond appropriately. Engage, motivate, and mentor less experienced staff on a regular basis in a positive manner that fosters teamwork and excellence. Listen, take direction, accept criticism and feedback and adjust behavior accordingly to improve performance. Demonstrate flexibility and proactively take on additional work as needed by the team, leading by example. Represent department's perspectives and needs in cross disciplinary settings, and negotiate appropriate compromises and solutions in a way that results in effective action. Tailor work to the needs of direct management and business partners and make recommendations that have an impact beyond their role. Assume responsibility for own actions and the consequences for actions undertaken and decisions made. Other duties as assigned or requested. EDUCATION Required Bachelor's Degree in Actuarial Science, Mathematics, Statistics or closely related field Substitutions None Preferred None EXPERIENCE Required 5 years Actuarial experience in area of specialization Preferred Pursuing FSA exams towards FSA Certification LICENSES AND CERTIFICATIONS Required Associate of the Society of Actuaries (ASA) Preferred Fellow of the Society of Actuaries (FSA) SKILLS Possesses and applies a comprehensive and in-depth knowledge of actuarial principles, concepts, practices and processes within multiple fields or disciplines Possesses significant expertise to complete complex assignments and ability to visualize, articulate, and solve complex problems while leading others to complete complex assignments Develops, designs, and tests analytic frameworks to solve complex problems using innovative approaches Assignments are broad in scope and require depth of knowledge as well as ingenuity and originality Analytical Skills Oral & Written Communication Skills Problem-Solving Language (Other than English): None Travel Requirement: 0% - 25% PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS Position Type Office-based Teaches / trains others regularly Frequently Travel regularly from the office to various work sites or from site-to-site Rarely Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required Frequently Audible Speech Constantly Hear Constantly Position self or move lower on ground, under tables/desks, etc. Never Climb Never Drive Occasionally Reach Frequently Sedentary position Frequently Move Frequently Repetitive Motion Frequently Use Hands/Fingers to Handle or Feel (beyond just data entry) Frequently Vision - Distinguish Color Frequently Vision - Far, Near, Depth Perception Frequently Move, transport, transfer - up to 10 lbs (Sedentary Work) Occasionally Move, transport, transfer - up to 20 lbs (Light Work) Occasionally Move, transport, transfer - up to 50 lbs (Medium Work) Occasionally Move, transport, transfer - excess of 50lbs (Heavy Work) Never Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Pay Range Minimum: $78,900.00 Pay Range Maximum: $147,500.00 Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below. For accommodation requests, please contact HR Services Online at ***************************** California Consumer Privacy Act Employees, Contractors, and Applicants Notice

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Description Senior Data EngineerLocation: Spartanburg, SC (In-Office) Employment Type: Full-TimeAbout the RoleWe are seeking a highly skilled Senior Data Engineer to join our team in Spartanburg, SC. This role is best suited for an experienced professional with a strong background in modern data platforms and proven expertise in Snowflake. You will be responsible for building and optimizing data pipelines, enabling analytics, and ensuring data governance across the organization.The ideal candidate has 10+ years of overall data engineering experience with 5+ years of hands-on experience in Snowflake, and thrives in an in-office, collaborative environment.Key Responsibilities Design, build, and maintain scalable data pipelines and ELT/ETL processes to support business analytics and operations. Lead the migration, optimization, and maintenance of large-scale data environments, with an emphasis on Snowflake. Partner with cross-functional teams (analytics, product, compliance, IT) to deliver secure, reliable, and high-performance data solutions. Implement and enforce best practices for data governance, data quality, and metadata management. Develop CI/CD pipelines for data engineering workflows (Bitbucket preferred). Collaborate with stakeholders to translate business requirements into technical specifications and data models. Monitor, troubleshoot, and optimize data systems for performance, cost efficiency, and reliability. Mentor junior engineers and provide technical leadership within the team. Required Qualifications 10+ years of total experience in data engineering or related fields. 5+ years of direct experience with Snowflake (data modeling, performance tuning, query optimization, security). Bachelor's degree in computer science, mathematics, IT or a related field.” Strong SQL and Python skills, with experience in building complex transformations. Proven ability to design and optimize data pipelines and workflows in cloud environments (AWS preferred). Experience working with stakeholders on data strategy, governance, and compliance. Preferred / Nice-to-Have Skills Experience with Amazon Redshift. Familiarity with Bitbucket for CI/CD and version control. Exposure to Matillion, Fivetran and Coalesce for data integration. Knowledge of OpenFlow or similar data workflow/orchestration tools. Familiarity with Sigma (Sigma Computing) for cloud-native business intelligence and self-service analytics Background in data governance frameworks (PII handling, access control, metadata management). Supervisory Responsibility This position has no direct supervisory responsibilities. Work Environment and Physical DemandsThis job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Position Type/Expected Hours of WorkThis is a full-time position. Days of work are Monday through Friday. The daily schedule may vary from 8 am to 5 pm or 9 am to 6 pm. Hours may vary or exceed 40 in any given week depending on the needs of the business. TravelUp to 10% travel is expected for this position. EEO Statement ACA provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. ACA complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. California Privacy NoticeAs an employer of California residents, we are dedicated to protecting your privacy rights. Any personal information you provide during the application process will be used solely for permitted internal purposes and will be handled in accordance with applicable privacy laws. By applying to this position, you consent to the collection, use, and disclosure of your personal information as described in our Employee Privacy Notice.

Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 1,000 storefronts locations and online lending. Providing services in over 20 states, Purpose Financial employs over 2,700 team members. At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals. We offer: Competitive Wages Health/Life Benefits Health Savings Account plus Employer Seed 401(k) Savings Plan with Company Match 3 Weeks of Paid Parental Leave 11 Company Paid Holiday's Paid Time Off including Volunteer Time Vacation Carryover Tuition Reimbursement Work-Life Balance Business Casual Environment Reward & Recognition Program Employee Assistance Program Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks (for those working onsite or hybrid) To learn more about Purpose Financial visit Purpose Financial Website. Position Summary Purpose Financial is looking for a Data Scientist to join our Data Science team to help support risk management function of our consumer loan portfolio. The ideal candidate will have a strong understanding of data analytics, predictive modeling and is comfortable working with large data sets. This role works closely with the management to perform analysis and help them make informed decisions about lending and managing the risks. Furthermore, this role requires someone who quickly adapts to change and is willing to complete all duties as assigned and requested. Job Responsibility Develop and implement advanced statistical and machine learning models leveraged through the customer lifecycle which includes, (but not limited to) new customer acquisition, underwriting, conversion, collections, and retention. Evaluate the performance of existing models and design experiments to improve model performance via champion/challenger tests. Discover insights from additional data sources to understand/influence consumer financial behavior and continue to enhance machine learning models as additional data becomes available. Develop automated processes and procedures to streamline data analysis and reporting. Monitor trends in relevant KPIs and report on key insights on a regular basis. “Ad-Hoc” analysis as assigned. Understand, adhere to, and enforce all corporate policies. Job Responsibilities Cont. Education Required Bachelor's Degree in Computer Science, Economics, Engineering, Mathematics, Statistics, or a related quantitative field. (Advanced Degree preferred.) Experience Required 1 - 2 years of experience working in an analytical role in banking, finance, or retail. Prior experience in developing machine learning models is preferred. Knowledge Required Experience in building machine learning models using R or Python. Exposure to reporting tools such as Tableau, PowerBI. Experience with the different types of machine learning techniques and the usual Python data science stack (Pandas, scikit-learn, NumPy, XGBoost, SHAP, notebook environments, etc.) is preferred. Working knowledge of SQL. Ability to combine data from multiple sources to analyze and interpret business performance. Excellent written and verbal communications skills as would be needed to communicate in person, by phone, and through email. Adaptability and flexibility to changing environment; and comfortable working in a dynamic, fast-paced environment. Ability to interact professionally and exhibit appropriate social skills. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products. Ability to quickly learn all technology needed to perform the role. Physical Requirements Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location. Competencies Achieve Desired ResultsAnalysis/Problem SolvingCustomer Advocacy InclusivenessIntegrityInterpersonal SkillsResilienceResults/AccountabilityTravel 5% Attire Business Casual Other Must be eligible to work in the USA and able to pass a background check. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability. Requisition ID: 41800

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **AI & Data -** **Data Modeler - Senior** We are seeking a highly skilled Senior Consultant Data Modeler with expertise in delivering data models that meet business requirements. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data models and solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Modeler, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Lead the design and development of **conceptual, logical, and physical data models** for the Enterprise Data Warehouse (EDW), adhering to **Kimball dimensional methodology (dimensional modeling approach), a core skill for this role** . + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 7+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Proven ability to navigate complex issues and make informed decisions + Experience in supervising and guiding junior team members + Demonstrated participation in sales opportunities and RFP responses + Cloud knowledge and/or certification. Preferably Azure DP-203 + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + Spanish speaking + Italian speaking **What we look for** We seek top performers with a keen eye for detail, a passion for data-driven solutions, and the ability to thrive in a collaborative environment. Your proactive approach to problem-solving, combined with your technical expertise, will set you apart as a candidate. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .