Data scientist jobs in Jacksonville, FL - 52 jobs

Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies. Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products. Our History After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country. Job Description This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus. Data Scientist • Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required • Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks • Implementing processes that improve and lead to greater data quality • Conducting statistical analyses to develop strategies • Documenting all processes and research • Building new algorithms and model training • Executing projects involving analytics • Identifying data patterns and trends • Analyzing data to develop predictive models • Creating, managing, and maintaining analytically rigorous data • Possessing a solid machine learning foundation • Proven record of successful statistical product delivery • Ability to execute health insurance use cases via statistical applications such as R or Python • Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) • Significant experience with SQL and working with large datasets required • Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate • Noting anomaly detection and running diagnostics • Performing graphical model analysis • Strong verbal and written communication skills Additional Information Candidates would Roll Perm at some point

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: ***********************************

We are seeking a talented and collaborative Data Scientist to join our team in a contract-to-hire capacity. This role is ideal for someone who combines strong technical expertise with the ability to clearly communicate insights to diverse audiences. The team has an expected start date for February. As a Data Scientist, you will play a key role in transforming complex data into actionable insights that drive decision-making. Success in this role requires not only analytical strength, but also humility, emotional intelligence, and the ability to collaborate effectively under tight deadlines and differing perspectives. What You'll Do Analyze large, complex datasets to identify trends, patterns, and insights that inform business and strategic decisions Develop and apply statistical models, analytical frameworks, and/or machine learning techniques Translate technical findings into clear, compelling narratives for both technical and non-technical stakeholders Create visualizations, reports, and presentations that make data easy to understand and act upon Collaborate closely with cross-functional teams to define requirements and deliver data-driven solutions Manage competing priorities and deadlines with professionalism and adaptability Apply strong emotional intelligence when navigating conflict, ambiguity, or differences of opinion Maintain high standards for data quality, documentation, and analytical rigor What You'll Need (Required Qualifications) Strong technical acumen in data analysis, statistics, and/or machine learning Proven ability to communicate complex data concepts clearly and effectively Excellent written and verbal communication skills Demonstrated humility and a collaborative, team-first mindset High emotional intelligence, with the ability to handle conflict and pressure constructively Experience working in fast-paced or high-accountability environments Bonus Points For (Preferred Qualifications) Background in consulting firms Experience in military, academia, or federal environments Prior contract roles with successful transition to full-time employment Experience working with diverse stakeholders across organizational levels WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on January 31, 2026 Work You'll Do Client Engagement & Solution Scoping * Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. * Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). * Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. * Solution Architecture & Design * Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). * Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). * Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization * Lead model fine-tuning, prompt engineering, and customization for client-specific needs. * Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. * Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management * Manage solution rollout, including cloud setup, configuration, and production deployment. * Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance * Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. * Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication * Prepare executive-level reports, dashboards, and demos to summarize progress and impact. * Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership * Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. * Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. * 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. * Independent thinker who can create the vision and execute on transforming data into high end client products. * Demonstrated accomplishments in the following areas: * Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). * Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). * Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. * Knowledge of solution architecture, risk assessment, and mapping technology to business goals. * Familiarity with agile methodologies and iterative delivery. * Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. * Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve * Limited immigration sponsorship may be available. Preferred: * Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. * Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see ************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Requisition code: 316523 Job ID 316523

**US Citizens only** **Please note that pursuant to a government contract, this specific position requires U.S. citizen, U.S. national or protected individual (as defined in 8 U.S.C. § 1324b(a)(3)) status.** **Job Purpose** Intercontinental Exchange is seeking a Data Scientist 1 to join our Loan Data team. As a Data Scientist 1, you will play a critical role in analyzing complex loan data sets to identify trends, develop data products, and drive business insights that inform our clients' investment decisions and business strategies. You will work closely with our team to design, develop, and implement data-driven solutions that meet the evolving needs of our clients and drive growth in the loan market. Intercontinental Exchange (ICE) is a global network of exchanges and clearing houses that operates a range of markets, including financial, agricultural, and energy. Our exchanges, including the New York Stock Exchange (NYSE), ICE Futures, and ICE Clear, provide a platform for buyers and sellers to trade and manage risk. We are committed to delivering innovative solutions that meet the evolving needs of our clients and drive growth in the global economy. **Responsibilities** + Loan Data Analysis: + Collect, process, and analyze large loan data sets from various sources (e.g., loan origination systems, servicing platforms). + Identify trends, patterns, and anomalies in loan data using statistical techniques and data visualization tools. + Develop and maintain databases and data systems to support loan data analysis and modeling. + Insight Generation: + Communicate complex loan data insights and model results to non-technical stakeholders. + Develop and present reports, dashboards, and visualizations to support business decisions. + Collaborate with stakeholders to identify business problems and develop data-driven solutions. + Data Engineering: + Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling. + Collaborate with data engineers to implement data solutions and integrate with existing systems. + Research and Development: + Stay up-to-date with industry trends, research, and developments in data science, machine learning, and related fields. + Explore new technologies, tools, and methodologies to enhance existing loan data solutions and models. **Knowledge and Experience** + Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. + 3+ years of relevant work experience. + Proficiency in programming languages (e.g., Python, R, SQL) and software tools (e.g., pandas, NumPy, scikit-learn). + Experience with loan data analysis, machine learning, and data visualization. + Familiarity with databases and data systems. + Strong analytical and problem-solving skills, with the ability to analyze complex loan data sets and develop creative solutions. + Experience with data visualization tools (e.g., Sigma, Tableau, Power BI). + Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders. **Preferred Knowledge and Experience** + Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. + Certified Data Scientist (CDS), Certified Analytics Professional (CAP), or other relevant certifications. + Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, Snowflake). + Familiarity with loan markets, loan products, and lending regulations. Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Client Protection Shared Services - Advanced Analytics is looking for an energetic and inquisitive data scientist to join our team and help us combat financial crime. In this role, you will be expected to work on large and complex data science projects that entail working with both relational and graph databases. In these projects, it is expected to collaborate with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic initiatives, large-scale projects, and overall improvements. Responsibilities: * Perform graph analytics to find and mitigate densely connected fraud networks * Assist with the generation, prioritization, and investigation of fraud rings * Enable business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and data driven insights * Understanding of end-to-end model development work, ranging from supervised, unsupervised, and graph-based machine learning solutions, to maximize detection of fraud or capture anomalous behavior * Manage multiple priorities and ensures quality and timeliness of work deliverables such as data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment * Manage relationships with multiple technology teams, development team, and line of business leaders, including alignment of roadmaps, managing projects, and managing risks * Oversee development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business * Support the identification of potential issues and development of controls * Support execution of large-scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytical-based insights * Manages a roadmap of data science use cases to answer business trends based on economic and portfolio conditions and communicate findings to senior management, while diligently working and leading peers to solve for these use cases * Coach and mentor peers to improve proficiency in a variety of systems and serve as a subject matter expert on multiple business and technical-related topics * Apply agile practices for project management, solution development, deployment, and maintenance * Deliver presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables * Maintain knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics * Engage business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts Required Qualifications: * 4+ years of experience in data and analytics * 4+ years of experience in data analytics within fraud prevention * Must be proficient with SQL and one of SAS, Python, or Java * Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages * Problem-solving skills including selection of data and deployment of solutions * Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team * Excellent communication and influencing skills * Thrives in fast-paced and highly dynamic environment * Intellectual curiosity and strong urge to figure out the "whys" of a problem and produce creative solutions * Exposure to model development leveraging supervised and unsupervised machine learning (regression, tree-based algorithms, etc.) * Expertise in data analytics and technical development lifecycles including having coached junior staff * Expertise handling and manipulating data across its lifecycle in a variety of formats, sizes, and storage technologies to solve a problem (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) Desired Qualifications * Advanced Quantitative degree (Master's or PhD) * 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas * Understanding of advanced machine learning methodologies including neural networks, graph algorithms, ensemble learning like XGB, and other techniques * Proficient with SPARK, H2O, or similar advanced analytical tools * Analytical and Innovating Thinking * Problem Solving and Business Acumen * Risk and Issue Management, interpreting relevant laws, rules, and regulations * Data Visualization, Oral and Written Communication, and Presentation Skills * Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects * Experience influencing mid to senior (executive) level leaders * Experience managing risk and issue remediation * Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile Skills: * Agile Practices * Application Development * DevOps Practices * Technical Documentation * Written Communications * Artificial Intelligence/Machine Learning * Business Analytics * Data Visualization * Presentation Skills * Risk Management * Adaptability * Collaboration * Consulting * Networking * Policies, Procedures, and Guidelines Management It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Shift: 1st shift (United States of America) Hours Per Week: 40

Join an award winning Home Lending Optimization & Solutions team, you'll join an organization that applies ML/AI products & solutions across Sales, Operations, & Marketing. Your ability to understand business requirements and translate them to a proposed solution will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. Job responsibilities Understand and translate business needs into data models supporting long-term solutions Convert data into actionable insights Develop presentations to summarize and communicate key messages to senior management, sponsors, and colleagues Leverage a variety of statistical and mathematical techniques and algorithms to analyze a variety of datasets to solve complex business problems Required qualifications, capabilities, and skills 3+ years' experience working in an analytical role BS degree in a related field, such as Data Science, Engineering, Applied Mathematics, Statistics, or similar STEM discipline Experience using statistical programming languages (Python) to manipulate data, draw insights, and build prototype solutions Strong storytelling capabilities Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business Preferred qualifications, capabilities, and skills Master's Degree Functional industry experience in finance, operations, sales, marketing, or credit/risk Knowledge of the mortgage industry

JobID: 210692669 JobSchedule: Full time JobShift: : Join an award winning Home Lending Optimization & Solutions team, you'll join an organization that applies ML/AI products & solutions across Sales, Operations, & Marketing. Your ability to understand business requirements and translate them to a proposed solution will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. Job responsibilities * Understand and translate business needs into data models supporting long-term solutions * Convert data into actionable insights * Develop presentations to summarize and communicate key messages to senior management, sponsors, and colleagues * Leverage a variety of statistical and mathematical techniques and algorithms to analyze a variety of datasets to solve complex business problems Required qualifications, capabilities, and skills * 3+ years' experience working in an analytical role * BS degree in a related field, such as Data Science, Engineering, Applied Mathematics, Statistics, or similar STEM discipline * Experience using statistical programming languages (Python) to manipulate data, draw insights, and build prototype solutions * Strong storytelling capabilities * Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business Preferred qualifications, capabilities, and skills * Master's Degree * Functional industry experience in finance, operations, sales, marketing, or credit/risk * Knowledge of the mortgage industry

Insight Global's client is looking for a Senior Data Engineer to join their Finance and Operations team, responsible for designing and maintaining Azure-based data pipelines and APIs, building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial and operational data domains will stand out. This is a full-time onsite position in either the Jacksonville, D.C., or New Jersey office, working closely with global teams to ensure data quality, automation, and continuous improvement. Compensation ranges from $70-74 an hour based on experience. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements st Haves: - Experience: 8+ years in data engineering. - Technical Expertise: § Azure (cloud platform) § SQL (advanced ETL and query optimization) § dbt (data transformation pipelines) § Python (data transformation and automation scripts) § Azure DevOps / GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Day to Day: - Develop and maintain Azure-based data pipelines for Finance and Operations. - Build and optimize ETL workflows using SQL and dbt. - Write Python scripts for data transformation and automation. - Deploy infrastructure as code and manage cloud data solutions. - Collaborate with project managers and contractors across global teams. - Ensure data quality and compliance with best practices. - Troubleshoot and resolve data-related issues promptly. Document technical solutions and maintain test scripts. Plusses: - Experience with similar tools or technologies (e.g., Snowflake, Airflow, Terraform) - Familiarity with infrastructure as code - Ability to participate in architectural decisions Strong problem-solving and continuous improvement mindset

We are seeking a Senior Data Engineer to design, build, and optimize modern data solutions that enable analytics, reporting, and data-driven decision making. This role will focus heavily on Microsoft Fabric, Power BI, and SQL, working closely with stakeholders across analytics, engineering, and business teams. You'll play a key role in shaping data architecture, improving performance, and ensuring data reliability at scale. Key Responsibilities + Design, build, and maintain scalable data pipelines using Microsoft Fabric + Develop and optimize SQL queries, views, and stored procedures for analytics and reporting + Model data using Lakehouse, Warehouse, and semantic models within Fabric + Support and enhance Power BI datasets, reports, dashboards, and data refresh strategies + Implement data transformation and ingestion processes (ETL / ELT) + Ensure data quality, consistency, governance, and security best practices + Collaborate with analysts and business stakeholders to translate requirements into technical solutions + Optimize performance across Fabric workloads, SQL engines, and Power BI models + Monitor and troubleshoot data pipelines and reporting issues + Mentor junior data engineers and contribute to data standards and best practices Requirements Required Qualifications + 5+ years of experience in data engineering or analytics engineering + Strong hands-on experience with SQL (performance tuning, indexing, query optimization) + Experience working with Power BI datasets, semantic models, and DAX fundamentals + Practical experience with Microsoft Fabric (Lakehouse, Data Factory, Warehouses, Pipelines) + Experience designing data models for reporting and analytics use cases + Understanding of data governance, security, and access controls + Strong communication skills and ability to work cross-functionally Preferred Qualifications + Experience with Azure data services (Synapse, Data Factory, Azure SQL, ADLS) + Knowledge of DAX optimization and Power BI performance tuning + Experience with data versioning, CI/CD, or DevOps for analytics solutions + Familiarity with Python, Spark, or notebooks within Fabric + Experience supporting enterprise or large-scale BI environments Technology Doesn't Change the World, People Do. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) and Privacy Notice (https://www.roberthalf.com/us/en/privacy) .

Job DescriptionSQL DATA ENGINEER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior SQL Data Engineer! This position is a hybrid position located in Jacksonville, FL, working 2-3 days onsite and other days remote. This is starting out as a contract position running through April 2025 with strong potential to extend longer or convert to FTE. This is a fantastic opportunity to join a well-respected organization offering tremendous career growth potential. At ARC Group, we are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected. We believe that diverse perspectives lead to better innovation and problem-solving. As an organization, we embrace diversity in all its forms and encourage individuals from underrepresented groups to apply. C2C OR W2 Interview: 1st round: Video Webex interview 2nd round: Face-to-Face interview in Jacksonville, FL Reference# 17429-1 Onsite in Jacksonville, FL [Must be willing to work onsite from Jacksonville, FL] JOB SUMMARY: Responsible for development, programming, coding of Information Technology solutions using Python to enable enterprise Customer Experience applications. Responsible for documentation of the system, conduct unit tests, peer code reviews and maintenance of internally developed applications, evaluation and performance testing of purchased products. Responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. REQUIREMENTS: Experience with unit testing, release procedures, coding design and documentation protocol as well as change management procedures Demonstrated organizational, analytical and interpersonal skills In-depth understanding of the systems development life cycle May include database knowledge in; SQL, MySQL, Oracle DB, PostgreSQL, Cassandra, dBase, MS Access, etc Responsible for development, programming, coding of Information Technology solutions using Python Responsible for documentation of the system, conduct unit tests, peer code reviews and maintenance of internally developed applications, evaluation and performance testing of purchased products. Responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. Excellent understanding of RESTful Architecture style. We expect the candidate to have ability to take methodical approach to evaluate various libraries with pros and cons to meet business / technical requirements. Excellent understanding of Python programming mode and required libraries to develop REST API Services. Must have demonstrated experience developing REST APIs using Python. Must have demonstrated experience processing batch files using Python Must have demonstrated experience developing scheduling of batch processes Proficiency using standard desktop applications such as MS Suite and flowcharting tools such as Visio REQUIRED EDUCATION/EXPERIENCE: Related Bachelors degree or related work experience 5+ years related work experience, professional experience with technical design and coding in the IT industry UNIX or Linux shell scripting Advanced SQL scripting/querying Working knowledge of PySpark as well as Hadoop environment required Strong focus on working/analysis with very large data sets (millions of records) Technical curiosity and willingness to learn (asks questions, learns processes, data flow, etc.) Would you like to know more about our new opportunity?For immediate consideration, please apply online and view all our open positions at ******************* ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and client's needs and goals and serving both with integrity and a shared desire to succeed. At ARC Group, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. Position is offered with no fee to candidate.

Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. Excellent written and verbal communication; proactive and collaborative mindset. Comfortable in hybrid or distributed environments with strong ownership and accountability. A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. Expert SQL (query optimization on large datasets) and Python skills. Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Bonus: Strong Node.js skills for faster onboarding and system integration. Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

SYSRS IT Services specializes in offering IT Services: Technology Services, Consulting Services, Software Solutions and Applications. Incorporated in 2013, SYSRS IT Services focuses on innovative and practical delivery of services to meet the critical IT missions of its clients. At SYSRS IT Services, we are committed to serving our customers with a wide range of information technology services and solutions with guaranteed satisfaction, friendly and professional service, during convenient hours of operation, and resulting in a great onsite/offsite experience. Job Requisition: Sr. Data Analytics Engineer Job Description: Leidos is seeking a Senior Data Analytics Engineer to develop a new data analytics platform service offering for a federal client. You will contribute to establishing the ingestion patterns, data storage patterns, data transformation methods, and data lake formation. You'll support data architecture-related activities through business needs analysis and routine issue resolution, including data pipeline design and data lake solution design. Put your consulting expertise to use to drive our future Data Analytics platform. Primary Responsibilities: Develop future state data architecture in consultation and alignment with the enterprise architecture team. Help the architecture team put together conceptual, logical, and physical data architecture and define the technical roadmap to the future state. Design data warehouse/data marts/data lakes/data hubs solutions and work with various data warehouse technologies to develop plans that best support the Program. In collaboration with technical leads and subject matter experts (SME), develop and manage architecture framework and design patterns of data analytics, integration, and visualization platform as per standards and industry best practices. Ability to analyze and evaluate new products as it relates to data lake/processing/analytics and suggest platform architecture modifications as necessary Participate in customer meetings to review business requirements and maintain the traceability of data sources and artifacts. Support data migration from the current state to the future state platform. Provide technical guidance and consultation and clarify technical and business requirements to development teams. Translate business needs into enterprise data architecture requirements and identify and forecast future state data architecture alternatives. Experiment with cloud-native, serverless tools and advise on new tools to determine optimal solutions given the requirements dictated by the use case. Expert in both traditional and modern data architecture and processing concepts, including relational databases, data warehousing, big data, NoSQL, and business analytics Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Ability and desire to conduct hands-on data tool development work to complete proofs of concept Provide periodic briefings to peers and leadership on the state of the data architecture. Ability to multitask, problem-solving skills, and customer management skills are required. Ability and desire to work with other program staff and customers to reach design decisions within given constraints Qualifications Basic Qualifications: Candidate must have bachelor's or master's degree with prior relevant experience. Must have 8+ years of Data Analytics experience. Experience in data pipeline architecture design, development, and optimization. Working experience or familiarity with AWS data analytics tools like Redshift, EMR, Data Lake Formation, AWS Glue, AWS Glue Brew, AWS Athena, Lambda, AWS Data Pipeline, Cognito, Quicksight, and S3. Experience with a variety of database technologies: RDBMS, NoSQL, search, data lakes. Experience with one or more visualization tools such as Power BI, Tableau, and Qlik. Additional Information Preferred Qualifications: Experience with AWS-specific data management and analytics strategies. Experience doing trade analysis on multiple data analytics tooling options supporting data lake and visualization layer.

Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies. Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products. Our History After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country. Job Description This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus. Data Scientist • Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required • Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks • Implementing processes that improve and lead to greater data quality • Conducting statistical analyses to develop strategies • Documenting all processes and research • Building new algorithms and model training • Executing projects involving analytics • Identifying data patterns and trends • Analyzing data to develop predictive models • Creating, managing, and maintaining analytically rigorous data • Possessing a solid machine learning foundation • Proven record of successful statistical product delivery • Ability to execute health insurance use cases via statistical applications such as R or Python • Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) • Significant experience with SQL and working with large datasets required • Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate • Noting anomaly detection and running diagnostics • Performing graphical model analysis • Strong verbal and written communication skills Additional Information Candidates would Roll Perm at some point

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on January 31, 2026 Work You'll Do Client Engagement & Solution Scoping + Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. + Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). + Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. + Solution Architecture & Design + Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). + Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). + Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization + Lead model fine-tuning, prompt engineering, and customization for client-specific needs. + Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. + Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management + Manage solution rollout, including cloud setup, configuration, and production deployment. + Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance + Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. + Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication + Prepare executive-level reports, dashboards, and demos to summarize progress and impact. + Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership + Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. + Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: + Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. + 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. + Independent thinker who can create the vision and execute on transforming data into high end client products. + Demonstrated accomplishments in the following areas: + Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). + Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). + Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. + Knowledge of solution architecture, risk assessment, and mapping technology to business goals. + Familiarity with agile methodologies and iterative delivery. + Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available. Preferred: + Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. + Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Join an award winning Home Lending Optimization & Solutions team, you'll join an organization that applies ML/AI products & solutions across Sales, Operations, & Marketing. Your ability to understand business requirements and translate them to a proposed solution will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. Job responsibilities Understand and translate business needs into data models supporting long-term solutions Convert data into actionable insights Develop presentations to summarize and communicate key messages to senior management, sponsors, and colleagues Leverage a variety of statistical and mathematical techniques and algorithms to analyze a variety of datasets to solve complex business problems Required qualifications, capabilities, and skills 3+ years' experience working in an analytical role BS degree in a related field, such as Data Science, Engineering, Applied Mathematics, Statistics, or similar STEM discipline Experience using statistical programming languages (Python) to manipulate data, draw insights, and build prototype solutions Strong storytelling capabilities Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business Preferred qualifications, capabilities, and skills Master's Degree Functional industry experience in finance, operations, sales, marketing, or credit/risk Knowledge of the mortgage industry

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Client Protection is looking for an experienced model developer / data scientist to join our team and help us combat financial crime. The role is responsible for providing model governance support across the entire model life cycle. Responsibilities: * Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights * Applies agile practices for project management, solution development, deployment, and maintenance * Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production * Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment * Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables * Supports the identification of potential issues and development of controls * Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics * Developing advanced technical documentation for an array of internally- and vendor-developed models ranging from regression to sophisticated techniques including XGB, neural networks, graph * Working closely with developers to understand how the model works and provide effective challenge to not only push back on methodology but also ensure results are accurate * Partnering with technology and model users to schedule deployments and planning for future model installations * Working with independent model risk management, legal and compliance teams to ensure models are fully validated and approved for usage * Producing analytics to ensure early model results look consistent with expectations * Conducting regular model monitoring and sharing performance results and analytical insights with model stakeholders and users * Supporting Bank policy for Artificial Intelligence models and ensuring any risks of using advanced techniques are identified and mitigated * Tracking model changes after deployment and ensure appropriate documentation reflects any adjustments, patches or updates * Driving model performance analytics above and beyond Model Risk Management policy requirements, including granular performance monitoring, early trend detection, root cause analysis, and gap analysis. * Serve as a subject matter expert across model's live cycle * Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation. Required Qualifications: * 4+ years of experience in model development or validation is required * Must be proficient Python, SQL (SAS is a plus) * Excellent technical writing skills * Critical problem-solving abilities including selection of data and deployment of solutions * Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also working as part of a broader team * Excellent communication and influencing skills * Thrives in fast-paced and highly dynamic environment * Able to provide guidance to junior data scientists. * Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solution Desired Qualifications: * Bachelor's Degree in related field or equivalent work experience * Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) * 7+ years of experience working as model developer, data scientist, model validator, preferable on fraud, credit, market, or other heavily quantitative areas. * Advanced understanding of machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques * Experience with compliance of SR-11-7 * Experience influencing mid to senior (executive) level leaders * Experience managing risk and issue remediation Skills: * Agile Practices * Application Development * DevOps Practices * Technical Documentation * Written Communications * Artificial Intelligence/Machine Learning * Business Analytics * Data Visualization * Presentation Skills * Risk Management * Adaptability * Collaboration * Consulting * Networking * Policies, Procedures, and Guidelines Management Shift: 1st shift (United States of America) Hours Per Week: 40

The Energy Authority is a public power-owned, nonprofit corporation with offices in Jacksonville, Florida, and Bellevue (Seattle), Washington. TEA provides public power utilities with access to advanced resources and technology systems so they can respond competitively in the changing energy markets. Through partnership with TEA, utilities benefit from an experienced organization that is singularly focused on deriving the maximum value of their assets from the market. Join Our Team as a Data Engineering Manager Are you a strategic technical leader who thrives at the intersection of innovation, data, and collaboration? TEA is looking for a Data Engineering Manager to guide the development of our enterprise data ecosystem and drive cloud-first, data-centric solutions that support both internal teams and external clients. In this high-impact role, you'll partner directly with Managers and Directors across the organization, influencing data strategy while leading a team of talented engineers to build scalable, secure, and business-critical data products. If you love shaping strategy and rolling up your sleeves to solve complex problems-whether designing cloud architectures, reviewing critical implementations, or modeling best practices-this is an opportunity to make your mark. You'll play a pivotal role in TEA's cloud transformation and help define the future of data at TEA. What You'll Do Identify and articulate effective cloud-based strategies to meet TEA's evolving data engineering needs Lead the design and development of business-critical and client-supporting cloud data solutions Ensure the stability, integrity, security, and efficient operation of cloud data solutions supporting analytics and machine learning initiatives Lead the development of TEA's Data Lake architecture, including data modeling, ELT processes, and data pipeline standards Recruit, mentor, and develop engineers to build a high-performing and collaborative team Influence decision-making and champion best practices across engineering and business stakeholder groups Technical Skills We're Looking For Expertise in Microsoft Azure (Azure Data Lake, Azure Databricks, Fabric, Azure Data Factory) Deep expertise in Azure Databricks, including Notebook development, Workflows, and Asset Bundles Proven ability to design and implement modern data architectures (data lakes, warehouses, lakehouses, data mesh, streaming pipelines) Proficiency in Python, PySpark, SQL, and modern data engineering frameworks Strong understanding of APIs, data integration patterns, data governance frameworks, and security/compliance standards Experience optimizing pipelines, architectures, and queries for performance and cost Knowledge of data governance, metadata management, and data security principles Language Skills Ability to read, analyze, and interpret technical journals, financial reports, and legal documents Ability to respond to inquiries from customers, regulatory agencies, or business stakeholders Ability to write polished professional content such as presentations, speeches, and publications Ability to effectively present information to senior management, public groups, or boards of directors Management Responsibilities Direct supervision of Enterprise Data Team personnel responsible for Data Engineering functions Interviewing, hiring, training, and developing employees Planning, assigning, and directing daily work Conducting performance evaluations and providing ongoing feedback Rewarding excellence and addressing performance issues Ensuring compliance with organizational policies and applicable laws Promoting strong communication, teamwork, and a culture of accountability Education & Experience Master's degree (M.A.) or equivalent preferred 4-10 years of related experience and/or technical leadership Or an equivalent combination of education and experience If you're ready to lead transformative data initiatives and help shape the future of TEA's data strategy, we'd love to meet you. Apply today and bring your expertise to a team where innovation, collaboration, and impact come together. TEA Values TEA employees share a common sense of purpose. When TEA accomplishes its mission, the result is improved quality of life for the citizens and businesses of the communities our clients serve. TEA employees exceed the expectations of those they serve, deliver services with the highest standards of fair, honest, and ethical behavior, set the standard for service and expertise in our industry, embody a spirit of collaboration, and embrace TEA's founding entrepreneurial spirit by seizing opportunities to deliver value. If you are self-motivated, driven to deliver excellence, and passionate about your career, TEA is the perfect place for you. It's YOUR Future. It's OUR Future.

Are you ready to play a pivotal role in shaping the future of Data & Analytics? As a valued member of our Home Lending Data & Analytics Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance Data & Analytics functions. Your contributions will be instrumental in transforming the processes and tools for data, analysis, and modeling. As an Applied AI/ML Engineer within our Home Lending Data & Analytics team, you will work in close coordination with various teams in Data & Analytics, including Data Owners, Reporting, Analysis, and Modeling. Your role will involve designing and implementing AI-powered solutions that boost operational efficiency, improve employee experience, and improve data quality. Leveraging your expertise in artificial intelligence and data analytics, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our way of working, ensuring we remain at the cutting edge of the industry. Job Responsibilities: Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives Work closely with Data Owners, Reporting, Analysis, and Modeling teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance Fine-tune AI models for optimal performance and efficiency, addressing any issues that arise Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non-technical stakeholders Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirement Required qualifications, capabilities, and Skills: 7+ years of work experience. Masters degree in a quantitative field such as Data Science, Computer Science, Engineering, Math, Physics, etc Proven track record of delivering projects in the AI/ML and data analytics space Proficiency in Python. Experience with foundation LLMs (e.g., GPT-5, Claude), RAG, Agents. Strong understanding of software engineering principles and practices, including version control, testing, and code optimization Technical documentation experience preferred. Preferred qualifications, capabilities and skills: Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred.