Overview Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions. As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities - You will acquire the data necessary for your project plan and develop usable data sets for modeling. You’ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers. - You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. - You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. - You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations. - You will embody our culture and values. Qualifications Required/minimum qualifications - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Additional or preferred qualifications - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. #ISEngineering #WSS Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

• Lead the design and development of advanced statistical and machine learning models that improve claims outcomes, operational efficiency, and risk management. • Serve as the technical authority for complex modeling initiatives including fraud detection, claims severity prediction, litigation risk modeling, and recovery optimization. • Develop predictive and prescriptive models using structured and unstructured claims data, including adjuster notes, medical records, and policy documentation. • Architect modeling approaches that leverage modern techniques such as gradient boosting, deep learning, NLP, anomaly detection, and probabilistic modeling. • Partner with AI Engineering teams to productionize models and integrate them into enterprise AI platforms and operational systems. • Design feature engineering strategies and modeling pipelines using large-scale enterprise datasets. • Establish best practices for model development, experimentation, validation, and reproducibility. • Lead advanced analytical techniques such as causal inference, scenario simulation, and risk scoring methodologies. • Build and maintain model evaluation frameworks that measure accuracy, bias, stability, and business impact. • Monitor deployed models for drift, degradation, and changing data distributions, and recommend recalibration strategies. • Provide technical guidance to data scientists and analysts across the organization. • Mentor junior team members on statistical methods, machine learning techniques, and analytical rigor. • Translate complex analytical findings into clear, actionable insights for business leaders and operational teams. • Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact analytical opportunities. • Evaluate external data sources and third-party analytical solutions that enhance predictive capabilities. • Ensure analytical methodologies align with enterprise governance standards and regulatory expectations. • Contribute to Sedgwick’s broader AI and advanced analytics strategy by identifying emerging technologies and modeling approaches. • Lead research and innovation initiatives that advance Sedgwick’s predictive analytics capabilities.

Title: Senior Data Scientist - Healthpulse Job Description: Job#: 3027946 Job Description: Senior Data Scientist Location: Remote Employment Type: Contract until December 2026 2 roles open - specifying the need for standard and senior data scientists with complementary skill sets, experience in healthcare, and familiarity with claims data, PBM, insurance, and privacy regulations such as HIPAA, PHI, and PII Top Must-Haves: Strong SQL, Healthcare experience is highly beneficial (especially with data from retail, PBMs, Aetna), Familiarity with LLMs and agency models is helpful. Ability to work in a high pace environment Role Overview Data Scientist Hiring Criteria: Clarify and document the specific experience requirements for the two data scientist roles, including healthcare, claims data, PBM, insurance, and familiarity with LLMs and agentic models. We are looking for a Senior Data Scientist to serve as a member of the Healthpulse portfolio who brings strong technical expertise in SQL for complex healthcare data analysis, along with advanced use of R or Python for statistical modeling, machine learning, and analytics. Preferably the candidate has experience working with diverse healthcare data sources, such as medical and pharmacy claims, retail and specialty pharmacy data, and EHRs. In addition, the candidate would have experience developing dashboards and data visualizations to communicate insights effectively, with a strong understanding of patient journeys, healthcare delivery systems, and industry challenges. Ideally, the candidate would have experience conducting real‑world evidence studies, patient outcomes research, and analyses of healthcare disparities, provider networks, care patterns, and access barriers. Compensation & Benefits The anticipated pay range for this position is $75.00 to $80.00 per hour. The final pay rate will be determined based on the candidate's experience, qualifications, and other relevant factors. This employer is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Apex uses a virtual recruiter as part of the application process. Click here for more details. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Remote: Yes Location: Woonsocket, RI, US Job Type: Date Posted: March 27, 2026 Pay Range: $70 - $75 per hour Similar Jobs - Senior Data Scientist - Sr. Data Engineer - Sr. Data Analyst - Sr Data Architect - Sr Data Analyst

• Design and develop robust pipelines using advanced methods with large language models (LLMs) to extract features and label data from unstructured datasets. • Create and implement rigorous evaluation metrics to assess feature extraction processes, ensuring continuous improvement aligned with clinical and product goals. • Enhance and maintain scalable, reproducible data science infrastructure to support agile development and secure operations across partitioned client environments. • Design and implement MLOps practices to streamline, scale, and automate machine learning workflows. • Manipulate, analyze, and manage large-scale datasets using Python, SQL, and other tools. • Work closely with engineers, clinicians, and product teams to ensure data solutions are aligned with user needs and drive meaningful outcomes. • Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.