Principal Data Scientist - Strategic Insights at UnitedHealth Group Requisition number: 2365934 Job category: Business & Data Analytics Primary location: Eden Prairie, MN Overtime status: Exempt Travel: No Job Description: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best.Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.Join us to start Caring. Connecting. Growing together. Quality at UnitedHealth Group means striving for excellence in everything we doin order tohelp us achieve our Mission. Simply put,it'sinour DNA and whywe'rein business - to help people.Our Mission serves as ourwhy;ourValuesunite us aroundhow we willachieve it. Because when we follow our Mission and live our Values, we deliver Quality. UnitedHealth Group is seeking a Principal Data Scientist to join our Strategic Insights team. This role reports to the Director of Data Science and is responsible for shaping and advancing enterprise-level analytics that connect customer experience, brand, and business performance outcomes. This position will lead the development of scalable analytical frameworks aligned to the Enterprise Performance Management (EPM) system, enabling measurement of leading indicators, experience metrics, and business outcomes across key value chains. The role will apply advanced statistical and AI-driven approaches to identify drivers of performance, quantify impact across quartiles, and translate complex data into actionable insights that inform executive decision-making. As a senior individual contributor, this role will operate with a high degree of autonomy, influencing senior leadership and cross-functional stakeholders to drive customer-centric strategies, growth, and long-term value creation. If you live near Eden Prairie, MN, you will enjoy the flexibility of a hybrid-remote role as you take on some tough challenges. Primary Responsibilities: - Lead enterprise analytics that connect customer experience (e.g., NPS, CAHPS), brand perception, and business performance, enabling a unified view of drivers across the EPM system - Apply and guide the use of advanced statistical and analytical methods (e.g., regression, segmentation, predictive modeling, correlation analysis) to uncover key drivers, relationships, and trends across complex datasets - Translate complex analytical outputs into clear, compelling narratives that influence business decisions and elevate the role of data-driven insights across stakeholders - Drive the development and standardization of analytical frameworks, approaches, and reusable methodologies to ensure consistency, scalability, and quality across insights work - Integrate multiple data sources (e.g., experience measurement, brand, market, and operational data) to enable connected analytics and more holistic understanding of customer and business performance - Support the application of AI-driven approaches (including synthetic data, simulation, and AI-assisted analytics) to enhance the depth, speed, and flexibility of insights generation - Evaluate and partner with external vendors and internal stakeholders to assess AI-enabled capabilities, tools, and data science solutions, ensuring alignment with business needs and research rigor - Lead experimentation and proof-of-concept efforts to test AI-driven analytical approaches, applying a structured "build, validate, scale" mindset to determine business value - Develop and promote best practices for integrating AI into analytics workflows, ensuring output remains interpretable, reliable, and aligned with established research and governance standards - Contribute to the evolution of scalable analytics capabilities by identifying opportunities to embed automation, standardization, and AI-assisted processes into recurring workflows You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: Before applying, please ensure each of these experiences are stated clearly on your resume under each applicable employer entry. - 8+ years of experience in data science, advanced analytics, or applied statistical modeling - 8+ years of experience in quantitative methods such as regression, segmentation, predictive modeling, and multivariate analysis - Experience developing analytical frameworks, reusable methodologies, or standardized approaches that improve scalability and consistency - Experience applying AI/ML techniques to business problems, including experimentation with synthetic data, simulation, or AI-assisted analytics workflows - Advanced level of proficiency with Microsoft Suite, including Excel and PowerPoint - Proficiency in tools such as Python, SQL, or R, and experience with data visualization and reporting tools - Demonstrated ability to work with large, complex datasets and integrate multiple data sources for advanced analytics - Demonstrated ability to simplify complex data into clear, actionable insights and compelling, executive-ready narratives Preferred Qualifications: - Experience in customer experience, market research, or insights analytics (e.g., NPS, CAHPS, brand measurement) - Experience evaluating or working with external data science or AI vendors, tools, or platforms - Familiarity with integrating analytics into broader business strategies, including growth, retention, and customer experience optimization - Healthcare industry experience Soft Skills: - Strong problem-solving skills with the ability to navigate ambiguity and structure analytical approaches effectively - Exceptional at proactively building and strengthening relationships across teams and functions to drive alignment, collaboration, and business impact - Effective communication skills, including the ability to explain technical concepts to non-technical audiences - Experience working across teams and functions to solve complex business problems and influence decision-making *All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. #RPO #YELLOW

Role Description - Develop and maintain models used in balance sheet forecasting. - Use data mining, segmentation analysis, and market analysis to analyze portfolio characteristics and customer behavior. - Monitor model performance and communicate analytical findings and insights to internal stakeholders through comprehensive reporting. - Propose model changes, including overlays, recalibration, redevelopment, tuning, sensitivity testing, CCAR, back testing, and fundamental driver analyses. - Perform analysis of models that affect ALM models and behavior, including mortgage and MSR (mortgage servicing rights) prepayment, deposit balance and yield, and interest rate and term structure models. - Collaborate with Model Risk Management & Validation, Market Risk Management, and other teams to facilitate periodic model validations and reviews. - Propose improved approaches to loan and deposit modeling. - Assist in developing forward-looking macroeconomic and interest rate views while collaborating with Treasury for balance sheet management. - Provide analytical support to management in developing strategies for balance sheet and liquidity decisions. - Utilize QRM and BlackRock (Aladdin system) for mortgage modeling and risk analysis. - Support initiatives including balance sheet optimization, funds transfer pricing, mortgage servicing rights, and CCAR/DFAST. Qualifications - Bachelor’s degree in Statistics, Data Science, or closely related STEM field. - Designing and implementing robust data pipelines to provision data from various sources, ensuring timely and accurate data availability for analytics and reporting. - Leveraging Python, including NumPy, Pandas, Matplotlib, Dask, and Scikit-learn libraries, and SQL to process, clean, and prepare data for models and business reports. - Using R and SQL to analyze, query, and validate data across relational databases, ensuring data quality meets business requirements. - Managing real-time data integration and provisioning using Apache Kafka to enable seamless data flow for business-critical applications. - Developing and maintaining data solutions on big data platforms including Apache Spark, PySpark, and Hadoop, processing large-scale datasets to meet business needs. - Implementing cloud-based data solutions using AWS Redshift to enable scalable data storage and high-performance querying for business intelligence. - Designing and optimizing relational databases to store, retrieve, and provision structured data in accordance with business and analytics requirements. - Utilizing Tableau and PowerBI to create customized reports and visualizations. - Applying data mining techniques (including clustering and association) to discover trends, patterns, and anomalies in data, supporting business teams with actionable insights. - Conducting statistical analysis and using methods such as A/B testing and regression analysis to validate and support key business initiatives. - Ensuring smooth collaboration using Git for version control and GitHub for tracking code changes in data provisioning workflows. - Performing data profiling tasks to ensure data from various sources is accurate, clean, and aligned with business objectives before provisioning to analytical environments. - Maintaining continuous data provisioning using DBeaver for database interaction, enabling seamless integration with relational databases for data support. - Leveraging SAS to automate the provisioning of datasets, ensuring data is pre-processed and ready for analysis or modeling. - Leveraging BlackRock Aladdin and QRM for quantitative modeling, risk analysis, and financial forecasting, integrating results with Python-based workflows. Requirements - May telecommute from any U.S. location. - Salary Range: $125,000 - $135,000. - Worksite: 28 State Street, Boston, Massachusetts 02109 United States, 40 hrs/wk. Benefits - For summary of benefits and to apply visit our website at https://jobs.citizensbank.com (Job ID: 47745) or email resume and cover letter to Recruiting@Citizensbank.com with subject line: 47745.

Role Description RRS Group is seeking a motivated and analytical Associate Data Scientist to join our team as part of the 2026 New College Graduate hiring program. This role is ideal for candidates with a strong foundation in data analysis, machine learning, statistical modeling, and Generative AI applications. The Associate Data Scientist will work closely with cross-functional teams to analyze large datasets, develop predictive models, generate actionable insights, and support data-driven business decisions. The ideal candidate demonstrates technical proficiency in SQL and Python, hands-on experience with machine learning and analytics tools, and familiarity with modern AI-assisted workflows and responsible AI practices. Key Responsibilities - Extract, transform, aggregate, and analyze large and complex datasets using SQL, Python, R, Spark, and related technologies. - Perform exploratory data analysis (EDA), feature engineering, and data validation to support analytics and modeling initiatives. - Develop, evaluate, and maintain descriptive and predictive machine learning models using tools such as scikit-learn, Jupyter Notebooks, Python, R, and/or SAS. - Apply statistical modeling and data mining techniques, including regression, classification, clustering, decision trees, and related methodologies. - Utilize Generative AI and AI-assisted tools, including LLMs, coding assistants, and AutoML platforms, to improve analytical workflows and insight generation. - Apply Generative AI techniques such as prompt engineering, text summarization, classification, and LLM-assisted analysis in business or research applications. - Collaborate with stakeholders to translate business problems into analytical solutions and communicate findings effectively. - Build and maintain business intelligence solutions and dashboards using Tableau, Power BI, or similar visualization platforms. - Define metrics, validate data quality, and support semantic layer development to ensure accurate reporting and business insights. - Follow responsible AI principles, including awareness of data privacy, bias mitigation, ethical AI usage, and model limitations. Qualifications - Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field, with graduation expected in 2026. - Minimum of 2 years of experience in data analysis, quantitative modeling, or data-driven decision-making through academic, internship, research, or professional experience. - Proficiency in SQL and Python for data analysis, visualization, and modeling. - Experience working with large datasets and distributed data processing tools such as Spark. - Strong understanding of statistics and machine learning fundamentals, including model evaluation techniques. - Hands-on experience with machine learning libraries and tools such as scikit-learn, Jupyter Notebooks, Python, R, and/or SAS. - Exposure to Generative AI technologies and AI-assisted analytical workflows. - Familiarity with business intelligence and visualization tools such as Tableau or Power BI. - Strong analytical thinking, problem-solving, and communication skills. Preferred Qualifications - Experience with cloud-based analytics or machine learning platforms. - Coursework or project experience involving NLP, LLMs, or AI-driven analytics. - Knowledge of responsible AI practices, governance, and ethical AI considerations. - Experience developing dashboards, KPI reporting systems, or executive-level business insights. Technical Skills - Programming Languages: Python, SQL, R, SAS - Data & ML Tools: scikit-learn, Spark, Jupyter Notebooks - Visualization Tools: Tableau, Power BI - AI/GenAI Tools: LLMs, AutoML, coding assistants - Statistical Techniques: Regression, classification, clustering, decision trees, predictive modeling Preferred Competencies - Strong attention to detail and data quality - Ability to manage multiple projects in a fast-paced environment - Effective collaboration and communication skills - Curiosity for emerging AI and data science technologies - Commitment to ethical and responsible AI practices Benefits - Opportunities to learn and develop every day through a wide range of programs. - Internal digital platforms that promote self-learning. - Development programs according to Leadership skills. - Specialized training according to the role. - Learning experiences with internal and external providers. - Recognition programs for seniority, behavior, leadership, moments of life, among others. - Financial wellness programs that will help you reach your goals in all stages of life. - A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle. - Family benefits including WellnessLine, Agreements and Discounts, Scholarship programs for children, Aid Plans for different moments of life, among others. Work Hours Varies upon the needs of the global department. RRS Company is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. RRS will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. RRS Group will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. Compensation: GBP 44500 - GBP 59000 yearly

• Own end-to-end methodology for causal inference, identification strategies, and predictive modeling. • Design, run, and evaluate experiments — from hypothesis formulation through power analysis to result interpretation. • Work on product initiatives where data signals are the core deliverable, not just a supporting artifact. • Partner closely with Product, Economics, and Research as primary stakeholders to translate business questions into rigorous analytical frameworks. • Work with Engineering on implementation of models and evaluation pipelines, ensuring analytical work is production-ready. • Produce actionable insights and present complex methodology to both technical and non-technical audiences clearly and concisely. • Document approaches, assumptions, methodologies, and results to a high standard — building institutional knowledge that scales with the team.