Data scientist jobs in Greenville, SC - 32 jobs

**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. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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 10% **Organization:** Smart Infrastructure **Job Type:** Full-time **Category:** Information Technology

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.

A Cost Data Associate Engineer plays a key role in achieving the goals and objectives of the AI and Data Development department by supporting both current and prospective clients throughout the consulting project lifecycle, from initial contact to project fulfillment. This role involves assisting with the updating, enhancement, and maintenance of the Construction Cost Database, as well as supporting the fulfillment of consulting project requirements and other internal projects as needed, with a strong emphasis on ensuring data quality. Responsibilities: Conduct research, data entry, and updates or enhancements to Construction Cost Data, ensuring high standards of data quality and accuracy. Support the fulfillment of requirements for Market Intelligence and discipline-related projects (e.g., Architecture), with a focus on maintaining data integrity. Assist in the preparation of seminar presentations and examples, ensuring the accuracy and reliability of data presented. Contribute to the development of new products or services, emphasizing data quality and consistency. Provide customer support for print and electronic products, addressing any data-related inquiries or issues. Assist in the editorial process, verifying the structural integrity of the print books. Qualifications: Bachelor's degree in Engineering, Construction, or Architecture. 3-5 years of experience in construction or construction estimating, with an understanding of construction materials, their usage, installation, and familiarity with construction standards, codes, and laws (e.g., OSHA, Building Codes). Proficiency with Microsoft Office tools and enterprise systems, with the ability and willingness to learn new programs. Strong Internet research skills, including the ability to develop and refine search queries for improved results. Exceptional attention to detail and the ability to track data quality and outcomes. Capability to implement creative solutions through thoughtful and deliberate planning. Proven problem-solving skills and the ability to manage multiple tasks effectively. Willingness to travel up to 20%.

Role Value Proposition: Join MetLife's Marketing Data Engineering team, building and operating the Marketing Data Platform (MDP) on Azure and Databricks. We curate audience and measurement datasets, automate campaign-ready outputs, and integrate enterprise, MarTech, and third-party data to enable repeatable campaign activation and performance measurement across channels. The Opportunity: As a Lead Data Engineer, you will own core platform architecture, data pipelines, and automation that power segmentation, activation, and measurement. You will help standardize how campaigns are executed and measured-reducing ad-hoc work, improving data quality, and accelerating insight-to-action for Marketing. Success in this role requires strong Azure/Databricks engineering depth and the ability to translate marketing objectives into durable platform capabilities. The Lead Data Engineer is responsible for end-to-end delivery of the platform and pipelines that support both activation and measurement. You'll collaborate closely with the Data and Analytics team, MarTech/Marketing Ops, BI developers, and platform governance partners in an environment where every contribution is respected, and every perspective is heard Key Responsibilities: * Own Azure-based MDP architecture and operations (security, reliability, performance, cost). * Build reusable ETL/ELT pipelines in ADF + Databricks/Delta for curated audience and measurement data products. * Enable campaign activation by operationalizing segmentation logic and producing campaign-ready extracts for activation platforms. * Deliver measurement datasets for performance, engagement, and attribution; support efficient refresh and reporting patterns. * Implement governance: RBAC, encryption, auditing, lineage/metadata; ensure compliance with internal policies. * Drive DevOps/IaC for data workflows (CI/CD, source control, automated deployments, monitoring). * Partner with Marketing Analytics, MarTech/Ops, and BI to prioritize backlog and deliver outcomes in Agile. Essential Business Experience and Technical Skills: Required: * Bachelor's or master's degree in computer science, Engineering, Information Systems, or a related field experience. * 5+ years in data engineering/architecture; 2+ years in Azure environments. * Expertise in Azure Data Factory, Azure Databricks, Azure SQL, and/or Azure Synapse. * Strong SQL and/or Python; performance tuning for pipelines and queries. * Git and CI/CD (Azure DevOps or GitHub Actions). * Knowledge of customer/audience data models and campaign lifecycles (activation → measurement → optimization). Preferred: * Azure certifications (Solutions Architect / Data Engineer Associate). * Terraform/YAML Infrastructure as Code for Azure deployments. * Marketing/MarTech integrations (Adobe, Salesforce, Marketo, CDPs) via APIs/REST. * Third-party data onboarding and governance for marketing use cases. * Streaming/real-time architectures (Event Hubs, Kafka, Stream Analytics). At MetLife, we're leading the global transformation of an industry we've long defined. United in purpose, diverse in perspective, we're dedicated to making a difference in the lives of our customers. Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office. The expected salary range for this position is $115,000 to $158,000. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms. Benefits We Offer Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, volunteer time off, tuition assistance and much more! About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World's 25 Best Workplaces, as well as the Fortune 100 Best Companies to Work For, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible. Join us! MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics"). If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace. $115,000 to $158,000

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 ************************** .

The Data Engineer implements data-centric solutions to complex business problems. This individual will work alongside a data architect and the data engineering team to expand and optimize data delivery architecture. Providing expertise in data warehousing and data delivery, this individual will work with cross-functional teams including marketing, analytics, operations, and software engineering to build data-aware systems and process flows across the enterprise. Essential Duties and Responsibilities: * Protect confidential company information and ensure all data pipelines comply with enterprise security and privacy standards. * Assist business, technology, and support partners/stakeholders to deliver secure data solutions. * Design, build, and maintain data delivery solutions in accordance with governing data architecture patterns. * Model and assemble data sets that meet functional and technical business requirements and AI feature needs. * Implement and manage the infrastructure required to optimize ETL/ELT operations, including automated data preprocessing for analytics and AI model consumption. * Process file-based data extracts and API integrations using modern data management tools to provide timely loading of critical business data * Identify, design, and implement process improvements in data flows and data pipelines, focusing on automating data tasks. * Integrate external systems with internal systems to ensure proper data flow between systems including AI services. * Maintain an accurate inventory of data assets, storage systems, and data lineage to support transparency in AI-driven decision-making * Communicate with non-technical stakeholders to determine technical solutions to business problems. Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required: * Expertise with relational databases and advanced SQL proficiency. * Python skills for building and refining data pipelines, with a focus on libraries for data manipulation * Experience working with enterprise-scale data warehousing systems, supporting both internal and customer-facing applications with near real-time transactional data. * Expertise in creating and maintaining data structures in SQL. * Experience structured and non-structured data paradigms, relational databases, data lake and data warehouse technologies, data vault and dimensional data models. * AI Support (Preferred): Familiarity with data preprocessing for AI, including feature engineering, data cleansing for model training, and supporting prompt engineering workflows. * Ability to define problems, collect data, establish facts, and draw valid conclusions * Ability to conduct research into systems issues and emerging data engineering technologies and AI/ML tools to determine integration requirements * Ability to communicate ideas in both technical and user-friendly language. * Ability to work with IT operations to quickly come to resolution of open support requests * Self-motivated and able to work within a project-based environment. * Possesses strong oral and written communication skills, clearly and accurately communicating complex and/or technical information to both technical and nontechnical audiences. Education and/or Experience: * Bachelor's Degree in MIS, Computer Science, or related field, or equivalent professional experience. * Minimum 2 years of designing and implementing Data engineering solutions. * Hands on experience with building productionized data ingestion and processing pipelines. * Experience working in business intelligence and data warehousing environments. * Experience with MS SQL Server, Integration Services (SSIS) * Strong TSQL scripting abilities and understanding of complex stored procedures, views, data. aggregation/manipulation through table joins/queries, database design, normalization, and de-normalization techniques. * Demonstrated experience in high-volume data extraction, manipulation, and Bulk Loading ETL/ELT techniques * Industry experience working with large data sets. * Experience with Microsoft PowerBI is a plus, experience with a business intelligence and reporting platform preferred. * Familiarity with data preprocessing for AI/ML and supporting data structures for LLMs is a plus (Optional) Physical Demands: * Must be able to constantly remain in a stationary position. * The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc. * Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer. * Occasionally may require light lifting to 25 pounds. Work Environment: * Office environment. * Occasional travel may be required. This job description reflects management's assignment of essential functions; and nothing in this herein restricts management's right to assign or reassign duties and responsibilities to this job at any time. It is the policy of World Acceptance Corporation to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, World Acceptance Corporation will provide reasonable accommodations for qualified individuals with disabilities.

The Data Engineer implements data-centric solutions to complex business problems. This individual will work alongside a data architect and the data engineering team to expand and optimize data delivery architecture. Providing expertise in data warehousing and data delivery, this individual will work with cross-functional teams including marketing, analytics, operations, and software engineering to build data-aware systems and process flows across the enterprise. Essential Duties and Responsibilities: Protect confidential company information and ensure all data pipelines comply with enterprise security and privacy standards. Assist business, technology, and support partners/stakeholders to deliver secure data solutions. Design, build, and maintain data delivery solutions in accordance with governing data architecture patterns. Model and assemble data sets that meet functional and technical business requirements and AI feature needs. Implement and manage the infrastructure required to optimize ETL/ELT operations, including automated data preprocessing for analytics and AI model consumption. Process file-based data extracts and API integrations using modern data management tools to provide timely loading of critical business data Identify, design, and implement process improvements in data flows and data pipelines, focusing on automating data tasks. Integrate external systems with internal systems to ensure proper data flow between systems including AI services. Maintain an accurate inventory of data assets, storage systems, and data lineage to support transparency in AI-driven decision-making Communicate with non-technical stakeholders to determine technical solutions to business problems. Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required: Expertise with relational databases and advanced SQL proficiency. Python skills for building and refining data pipelines, with a focus on libraries for data manipulation Experience working with enterprise-scale data warehousing systems, supporting both internal and customer-facing applications with near real-time transactional data. Expertise in creating and maintaining data structures in SQL. Experience structured and non-structured data paradigms, relational databases, data lake and data warehouse technologies, data vault and dimensional data models. AI Support (Preferred): Familiarity with data preprocessing for AI, including feature engineering, data cleansing for model training, and supporting prompt engineering workflows. Ability to define problems, collect data, establish facts, and draw valid conclusions Ability to conduct research into systems issues and emerging data engineering technologies and AI/ML tools to determine integration requirements Ability to communicate ideas in both technical and user-friendly language. Ability to work with IT operations to quickly come to resolution of open support requests Self-motivated and able to work within a project-based environment. Possesses strong oral and written communication skills, clearly and accurately communicating complex and/or technical information to both technical and nontechnical audiences. Education and/or Experience: Bachelor's Degree in MIS, Computer Science, or related field, or equivalent professional experience. Minimum 2 years of designing and implementing Data engineering solutions. Hands on experience with building productionized data ingestion and processing pipelines. Experience working in business intelligence and data warehousing environments. Experience with MS SQL Server, Integration Services (SSIS) Strong TSQL scripting abilities and understanding of complex stored procedures, views, data. aggregation/manipulation through table joins/queries, database design, normalization, and de-normalization techniques. Demonstrated experience in high-volume data extraction, manipulation, and Bulk Loading ETL/ELT techniques Industry experience working with large data sets. Experience with Microsoft PowerBI is a plus, experience with a business intelligence and reporting platform preferred. Familiarity with data preprocessing for AI/ML and supporting data structures for LLMs is a plus (Optional) Physical Demands: Must be able to constantly remain in a stationary position. The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer. Occasionally may require light lifting to 25 pounds. Work Environment: Office environment. Occasional travel may be required. This job description reflects management's assignment of essential functions; and nothing in this herein restricts management's right to assign or reassign duties and responsibilities to this job at any time. It is the policy of World Acceptance Corporation to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, World Acceptance Corporation will provide reasonable accommodations for qualified individuals with disabilities.

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 ********************

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.

The Senior Data Engineer works collaboratively within their team to perform feature analysis, research, requirements gathering, defining product architecture, designing features, implementation/coding, testing, deployment, maintenance, and support of RedSail products. The Senior Data Engineer is a vital member of a Scrum team actively participating in all aspects of the Scrum workflow. The focus of a Senior Data Engineer will be on database design and architecture, ELT/ELT, data lake/warehouses, data security, development, troubleshooting, optimization, design/code reviews, product quality, working within the team, mentoring others, and assisting with product directions. Key Duties: * Primary focus of work will be across the entire data intake and usage process flow intimately knowing the entire depth and breadth of the flow and any respective schema. Will be able to step into most areas and become proficient within weeks. Will be able to create systems from scratch, optimize them, and assist with production. * Will assist others in the gathering and creation of feature specifications, requirements, and database design documents. * Performs designing, coding, optimizing, debugging, testing, and troubleshooting throughout the application development process utilizing appropriate principles and patterns for the given languages and application type. * Collaborate cross-functionally with product managers, analysts, quality assurance engineers and other team members to achieve elegant and appropriate solutions. * Adheres to department and product development standards and best practices while working with others to do the same. * Actively ensures a high level of quality across the product. * Actively engages and works as a member of the Scrum team contributing to all Scrum ceremonies as needed. * Builds and maintains effective working relationships with all members of the Scrum team, co-workers, and those in other departments. * Works directly with the Support department on an as needed basis. * May provide consultation to other teams on complex projects. May act as a domain/technical expert for the team. * Will work on advanced, complex technical projects or business issues requiring higher levels of technical and/or industry knowledge. * Goals may be communicated as a solution or as the outcome of a project. * Will utilize their experience with OLAP, OLTP, BPM, ETL/ELT and related tools when designing aspects of their current/future systems. * Strong understanding of database and application performance characteristics, especially in a cloud and/or production environment. * May act as a technical expert for the team for different subsystems. Participate in mentoring and coaching team members primarily during design and code reviews. * Performs special projects and other related duties as assigned. Education/Training * Bachelor's degree in Computer Science, an Engineering discipline or equivalent field, required. * Ten (10) or more years of experience actively developing and/or maintaining production database systems is required. Work Experience/Skills * Professional and effective written and verbal communication skills. Ability to follow oral and written instructions. * Excellent organizational skills and attention to detail. Excellent analytical and problem-solving skills. Customer obsessed, self-motivated and a willingness to always learn something new and be curious. Ability to achieve goals in an innovative and fast-paced environment. * Demonstrated knowledge of database systems, software applications, and programming languages such as T/SQL. * Demonstrated proficiency with software engineering tools and applications. Ability to operate independently and collaborate with remote teams. * Extensive experience in database development for highly scalable, distributed and highly resilient relational and non-relational database systems design, deployment and operations. * Extensive experience of scalable computing systems, software architecture, data structures, and algorithms with a focus on databases. * Experience with OLAP, OLTP, BPM, ETL/ELT and related tools encompassed within the broader data umbrella. * Experience building enterprise-class applications and/or distributed systems in the public cloud, hosted, or on-site. * Proven track record of leading delivery of large scale, distributed, high quality database systems. Experience in building and operating complex distributed data systems, data lakes, and data warehouse. Strong understanding of data security and compliance design principles such as data auditing, data privacy/encryption, retention policies, archiving strategies, etc. Discretionary Judgement * Can work autonomously requiring little to no oversight Physical Demands, Working Conditions, and General Employment Guidelines * Sitting and standing for most of the workday. * Moderate levels of stress may be experienced in the performance of the job * Position is performed in a general office environment, home office, or approved remote workspace Equipment * Moderate use of the telephone, computer, printer, and other routine office equipment Safety to Self and Others * Little responsibility for safety of others. Job is performed in an office setting where there are not hazardous materials or equipment Work Location * RedSail Office-Remote

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

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. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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: ***********************************

Role Value Proposition: Join MetLife's Marketing Data Engineering team, building and operating the Marketing Data Platform (MDP) on Azure and Databricks. We curate audience and measurement datasets, automate campaign-ready outputs, and integrate enterprise, MarTech, and third-party data to enable repeatable campaign activation and performance measurement across channels. The Opportunity: As a Lead Data Engineer, you will own core platform architecture, data pipelines, and automation that power segmentation, activation, and measurement. You will help standardize how campaigns are executed and measured-reducing ad-hoc work, improving data quality, and accelerating insight-to-action for Marketing. Success in this role requires strong Azure/Databricks engineering depth and the ability to translate marketing objectives into durable platform capabilities. The Lead Data Engineer is responsible for end-to-end delivery of the platform and pipelines that support both activation and measurement. You'll collaborate closely with the Data and Analytics team, MarTech/Marketing Ops, BI developers, and platform governance partners in an environment where every contribution is respected, and every perspective is heard Key Responsibilities: * Own Azure-based MDP architecture and operations (security, reliability, performance, cost). * Build reusable ETL/ELT pipelines in ADF + Databricks/Delta for curated audience and measurement data products. * Enable campaign activation by operationalizing segmentation logic and producing campaign-ready extracts for activation platforms. * Deliver measurement datasets for performance, engagement, and attribution; support efficient refresh and reporting patterns. * Implement governance: RBAC, encryption, auditing, lineage/metadata; ensure compliance with internal policies. * Drive DevOps/IaC for data workflows (CI/CD, source control, automated deployments, monitoring). * Partner with Marketing Analytics, MarTech/Ops, and BI to prioritize backlog and deliver outcomes in Agile. Essential Business Experience and Technical Skills: Required: * Bachelor's or master's degree in computer science, Engineering, Information Systems, or a related field experience. * 5+ years in data engineering/architecture; 2+ years in Azure environments. * Expertise in Azure Data Factory, Azure Databricks, Azure SQL, and/or Azure Synapse. * Strong SQL and/or Python; performance tuning for pipelines and queries. * Git and CI/CD (Azure DevOps or GitHub Actions). * Knowledge of customer/audience data models and campaign lifecycles (activation → measurement → optimization). Preferred: * Azure certifications (Solutions Architect / Data Engineer Associate). * Terraform/YAML Infrastructure as Code for Azure deployments. * Marketing/MarTech integrations (Adobe, Salesforce, Marketo, CDPs) via APIs/REST. * Third-party data onboarding and governance for marketing use cases. * Streaming/real-time architectures (Event Hubs, Kafka, Stream Analytics). At MetLife, we're leading the global transformation of an industry we've long defined. United in purpose, diverse in perspective, we're dedicated to making a difference in the lives of our customers. Equal Employment Opportunity/Disability/Veterans If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace.

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.

The Senior Data Engineer works collaboratively within their team to perform feature analysis, research, requirements gathering, defining product architecture, designing features, implementation/coding, testing, deployment, maintenance, and support of RedSail products. The Senior Data Engineer is a vital member of a Scrum team actively participating in all aspects of the Scrum workflow. The focus of a Senior Data Engineer will be on database design and architecture, ELT/ELT, data lake/warehouses, data security, development, troubleshooting, optimization, design/code reviews, product quality, working within the team, mentoring others, and assisting with product directions. Key Duties: Primary focus of work will be across the entire data intake and usage process flow intimately knowing the entire depth and breadth of the flow and any respective schema. Will be able to step into most areas and become proficient within weeks. Will be able to create systems from scratch, optimize them, and assist with production. Will assist others in the gathering and creation of feature specifications, requirements, and database design documents. Performs designing, coding, optimizing, debugging, testing, and troubleshooting throughout the application development process utilizing appropriate principles and patterns for the given languages and application type. Collaborate cross-functionally with product managers, analysts, quality assurance engineers and other team members to achieve elegant and appropriate solutions. Adheres to department and product development standards and best practices while working with others to do the same. Actively ensures a high level of quality across the product. Actively engages and works as a member of the Scrum team contributing to all Scrum ceremonies as needed. Builds and maintains effective working relationships with all members of the Scrum team, co-workers, and those in other departments. Works directly with the Support department on an as needed basis. May provide consultation to other teams on complex projects. May act as a domain/technical expert for the team. Will work on advanced, complex technical projects or business issues requiring higher levels of technical and/or industry knowledge. Goals may be communicated as a solution or as the outcome of a project. Will utilize their experience with OLAP, OLTP, BPM, ETL/ELT and related tools when designing aspects of their current/future systems. Strong understanding of database and application performance characteristics, especially in a cloud and/or production environment. May act as a technical expert for the team for different subsystems. Participate in mentoring and coaching team members primarily during design and code reviews. Performs special projects and other related duties as assigned. Education/Training Bachelor's degree in Computer Science, an Engineering discipline or equivalent field, required. Ten (10) or more years of experience actively developing and/or maintaining production database systems is required. Work Experience/Skills Professional and effective written and verbal communication skills. Ability to follow oral and written instructions. Excellent organizational skills and attention to detail. Excellent analytical and problem-solving skills. Customer obsessed, self-motivated and a willingness to always learn something new and be curious. Ability to achieve goals in an innovative and fast-paced environment. Demonstrated knowledge of database systems, software applications, and programming languages such as T/SQL. Demonstrated proficiency with software engineering tools and applications. Ability to operate independently and collaborate with remote teams. Extensive experience in database development for highly scalable, distributed and highly resilient relational and non-relational database systems design, deployment and operations. Extensive experience of scalable computing systems, software architecture, data structures, and algorithms with a focus on databases. Experience with OLAP, OLTP, BPM, ETL/ELT and related tools encompassed within the broader data umbrella. Experience building enterprise-class applications and/or distributed systems in the public cloud, hosted, or on-site. Proven track record of leading delivery of large scale, distributed, high quality database systems. Experience in building and operating complex distributed data systems, data lakes, and data warehouse. Strong understanding of data security and compliance design principles such as data auditing, data privacy/encryption, retention policies, archiving strategies, etc. Discretionary Judgement Can work autonomously requiring little to no oversight Physical Demands, Working Conditions, and General Employment Guidelines Sitting and standing for most of the workday. Moderate levels of stress may be experienced in the performance of the job Position is performed in a general office environment, home office, or approved remote workspace Equipment Moderate use of the telephone, computer, printer, and other routine office equipment Safety to Self and Others Little responsibility for safety of others. Job is performed in an office setting where there are not hazardous materials or equipment Work Location RedSail Office-Remote

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 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. 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 ResultsGo BoldObsess over CustomersBetter You, Better EveryoneGet Sh*t DoneCare. Always.Lead with VisionBe DecisiveShow Up to Coach UpOKREmbody 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: 42961

**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. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Respond effectively to the diverse perspectives, needs, and feelings of others. + Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. + Use critical thinking to break down complex concepts. + Understand the broader objectives of your project or role and how your work fits into the overall strategy. + Develop a deeper understanding of the business context and how it is changing. + Use reflection to develop self awareness, enhance strengths and address development areas. + Interpret data to inform insights and recommendations. + 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** 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, 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 GenAI and AI solution approach + Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and 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 + Processing 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 + Support management of 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; + Structuring, write, communicate and facilitate client presentations; and, + Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing AI/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: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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: ***********************************