We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Overview: CVS Caremark is looking for a Senior Data Scientist to significantly improve the precision of our underwriting processes through sophisticated analytics. In this crucial role, you will utilize your analytical skills to spearhead error attribution and in-depth root cause analysis, delivering actionable insights that facilitate strategic decision-making. The ideal candidate will possess a strong background in data analytics and a passion for data storytelling. You will be part of analytics strategy for underwriting, collaborating with leadership to guide critical organizational decisions. This position provides a chance to impact the organization's direction while developing a portfolio of high-impact analytical projects. You will be part of analytics initiatives through all the stages – defining investigation of data, analyzing the data, finding the root cause, developing the solution and presenting to key stakeholders. Key Responsibilities: - In the role of Senior Data Scientist, you will leverage your quantitative expertise to analyze large datasets that inform decision-making. - Manage data pipelines and workflows by working alongside data engineers to design and enhance data pipelines, while also developing your own processes for data handling, transformation, and analysis. - Employ quantitative analysis and data visualization to uncover insights that go beyond the numbers and reveal what drives errors in our business. - Discover business opportunities through data-driven insights and create impactful analytical solutions. - Independently investigate data and establish a structured analytical plan to extract valuable insights. - Develop, implement, and assess hypotheses to identify the factors leading to forecasting errors. - Convey analytical findings and solutions through engaging narratives and visualizations, effectively involving stakeholders to support informed business decisions. - Be proficient in coding, GIT, documentation, and best practices for quality assurance. - Deliver actionable recommendations to senior leadership and internal stakeholders. Qualifications: Required: - 3+ years of experience in prescriptive and descriptive analytics, statistics, or a related discipline, demonstrating a strong capability to perform root cause analysis and deliver actionable insights that aid in strategic decision-making. - Expertise in SQL and Python (Pandas) with 3+ years of professional experience. - Ability to approach ambiguous problems and resolve them in a structured, hypothesis-driven manner supported by data. - Develop comprehensive analytics experiments, reports, and dashboards utilizing SQL, Python, or other scripting and statistical tools. - Experience collaborating with business leaders and key stakeholders to gather requirements and build solutions accordingly. - Proven track record of making a measurable impact on the business's bottom line (e.g., cost savings, increased efficiency). - Familiarity with AWS and Azure platforms. - Strong statistical and analytical foundation with practical experience in experimental design and ROI analysis. - Proficient in investigating various data sources and systems to identify root causes and provide effective solutions, which may involve machine learning or statistical techniques. - Skilled in using Microsoft Office Suite, including MS Excel and PowerPoint. Preferred: - Excellent problem-solving and analytical skills that utilize statistical and machine learning techniques. - Proven ability to effectively communicate technical concepts and their implications to business stakeholders. - Proficient in various mathematical analysis methods, machine learning, statistical analysis, and predictive modeling, with in-depth expertise in specific areas. - Strong understanding of advanced analytics tools and programming languages for analyzing large datasets from diverse sources. - Solid SQL, Pyspark, and Python coding skills are essential. - Experience in the Pharmacy Benefit Management (PBM) industry and/or management consulting is a plus. - Master’s degree in computer science, Data Science, or a related field. Education: - Bachelor's degree in computer science, Data Science, or a related field. - Experience working collaboratively with data engineering teams on designing data pipelines. Why Join Us? This is a unique opportunity to make a significant impact on Caremark’s Underwriting business. If you are a strategic thinker with a passion for analytics and a desire to drive meaningful change, we invite you to apply and be part of our dynamic team! Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $83,430.00 - $203,940.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 04/18/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. Job Title: Senior Applied Data Scientist Job Location: 3825 Edwards Road, #600, Cincinnati, OH 45209 (May work remotely) Job Duties: WHY I DO MY JOB | Job purpose To lead and execute projects to distil complex problems into compelling insights, using the best of dunnhumby science and making recommendations that resonate with clients and lead them to action. May telecommute 100% of the time from their home office, consistent with dunnhumby’s remote work policy. WHAT I DO | Key accountabilities - Build strong relationships with internal contacts & external clients to ensure full understanding of client challenges, growth strategy and agreed measures of success for the project. - Investigate and implement the most appropriate analytical technique for each project, role modelling the re-use & further development of global solutions or code written by others. - Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery. - Identify opportunities to grow client engagement by proactively solving client’s strategic questions, using a mix of products and advanced data science techniques that support executive decision making and calls to action. - Participate in client meetings as required to present methodology and solutions through effective story telling techniques. - Work closely with global products team to provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become global offering. - Ensure smooth running of your data analytics projects and support junior team members with their projects. - Lead by example by following dunnhumby Quality Assurance processes, ways of working and coding standards. - Provide advice and support to colleagues to resolve challenges and support code reviews. Job requirements: - Bachelor’s degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied Statistics, Engineering or related field. - In addition to the degree, must have at least 4 years of experience in each of the following: - Software development, utilizing methodologies and tools such as Agile (Scrum Master) and Code Merge, and programming in languages including PySpark, Python, Flask/Dash, C++, and HTML; and - Quality Assurance (QA) and Testing, including the development, execution, and maintenance of automated and manual testing frameworks. Within this, must have at least 2 years of experience in each of the following: - Handling large data volumes with modern data processing tools, e.g. by using Hadoop, Spark, SQL, and Python; - Data Interpretation and Insight Analysis; performing data interpretation, insight generation, and analytical analysis to support business and technical decision-making; - Programming experience on any standard data mining and modelling packages such as Python and R; and - Applying advanced statistical models and machine learning algorithms to develop and implement solutions to complex analytical and business problems. What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

• Contribute to discovery and development phases for new and existing products/models relating to media measurement • Participate in model development, validation and maintenance • Analyze large datasets to identify trends, patterns, and insights, ensuring quality and reliability of results. • Respond to ad hoc client-specific requests including performing analyses, data manipulation and producing summary results. • Collaborate with cross-functional teams to deliver on broader project goals. • Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. • Support evaluation and validation of both internal and external products to ensure Cint’s success. • Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.

TheSoul Group is a leading creator business platform positioned at the heart of the creator economy. Our original videos, animations, and editorial stories inspire audiences in 21 languages, across 60 platforms and 20 websites. Together with our network of 15,000 talented creators, we reach over 5 billion followers and generate more than 100 billion monthly views on social media. As a global powerhouse in digital media, we drive viral success for creators and brands worldwide through a wide range of services, leveraging our expertise in content distribution, localization, and social media management. We’re the creators behind global phenomena such as 5-Minute Crafts and BrightSide, and we continue to expand our influence in the creator economy through strategic acquisitions like Mediacube and Underscore Talent. We’re a dynamic, remote-first global team, fostering award-winning creativity, a no-red-tape approach, and great vibes! We are seeking an exceptional Applied AI Data Scientist to join our team at the forefront of content intelligence. You will explore the world’s largest dataset on content performance—over 100 billion views per month across 50+ platforms—to uncover hidden insights and drive measurable impact. Your work will power AI agents, automate analytics, and directly shape high-level business strategy, reporting to the CEO. This is a rare opportunity to combine advanced AI research with real-world product and business influence. Responsibilities - Analyze and interpret metrics like CTR, retention, engagement, and user behavior at an unprecedented scale (100B+ views/month). - Build robust and reproducible analytical workflows to uncover actionable insights. - Validate and optimize measurement methods to ensure accuracy across platforms. - Identify non-obvious correlations, causal relationships, and latent patterns in large, complex datasets. - Translate statistical findings into strategic recommendations for content, product, and growth teams. - Challenge assumptions and propose innovative analytical frameworks. - Design, build, and maintain AI agents that automate routine and complex analytical processes. - Experiment with LLMs, reinforcement learning, and other generative AI techniques to accelerate insights. - Deploy AI solutions in production to improve decision-making speed and accuracy. - Develop end-to-end machine learning pipelines for large-scale data processing. - Ensure code quality, reproducibility, and scalability for production environments. - Continuously monitor, test, and optimize ML/DL models for performance and robustness. - Present findings and strategic recommendations directly to the CEO. - Influence high-level business and content strategy with data-driven insights. - Communicate complex technical results in a clear, actionable manner for non-technical stakeholders.