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. Position Summary The Lead Data Scientist will play a critical role in developing, scaling, and deploying best‑in‑class forecasting models that drive merchandising category forecasting and decision‑making. This role sits within a high‑impact data science team responsible for translating complex transactional and behavioral data into accurate, actionable forecasts that inform financial, labor, and promotional strategies. The Lead Data Scientist will own end‑to‑end model development, from problem formulation and feature engineering through validation, deployment, and ongoing performance monitoring, while providing technical leadership and mentorship to other data scientists. Required Qualifications - 7+ years of professional experience in data science, applied statistics, or machine learning - Hands‑on experience developing time series forecasting or predictive models in a production environment - Proficiency in Python for data analysis and model development - Experience working with SQL and large, structured datasets - Demonstrated experience applying statistical or machine learning techniques (e.g., regression, tree‑based models, time series models) - Experience deploying, maintaining, or operationalizing models in partnership with engineering or analytics teams - Previous experience in a lead or senior individual contributor role, owning model design and technical decisions Preferred Qualifications - Strong problem‑solving skills with the ability to translate ambiguous business questions into well‑defined analytical problems - Experience influencing stakeholders and communicating model insights to non‑technical audiences - Background in finance, retail, or demand forecasting domains - Experience mentoring junior data scientists or providing technical leadership across projects - Familiarity with model monitoring, performance drift, and iterative model improvement - Ability to balance statistical rigor with pragmatic business constraints and timelines Education Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or a related discipline. Master’s degree preferred. Pay Range The typical pay range for this role is: $130,295.00 - $260,590.00 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. This position also includes an award target in the company’s equity award program. 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: 05/31/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

• Develop predictive and prescriptive models using machine learning techniques • Explore and analyze data to generate strategic insights • Build data pipelines and features for modeling • Collaborate with business areas to understand problems and propose data-driven solutions • Validate, test, and monitor models in production • Communicate results clearly to technical and non-technical stakeholders • Contribute to the evolution of data architecture and best practices.

• Develop predictive and prescriptive models using machine learning techniques • Explore and analyze data to generate strategic insights • Build data and feature pipelines for modeling • Work closely with business areas to understand problems and propose data-driven solutions • Validate, test, and monitor models in production • Communicate results clearly to technical and non-technical stakeholders • Participate in the evolution of data architecture and best practices.

Data Scientist Department: Detection Employment Type: Full Time Location: Remote Description Who are we? Hi! 👋 We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. And we have fun in the meantime! We are a friendly bunch and pride ourselves in having a strong culture and adhering to our values of empathy, ambition, unity and integrity. We really value work/life balance and we embrace a flat hierarchy structure company-wide. Join us and you’ll learn fast about cutting-edge tech and work with some of the brightest and nicest people around - check out our Glassdoor reviews. If this sounds like your cup of tea, we would love to hear from you! For more information check out our blog to see if you would like to help us prevent crime and protect the world's biggest online businesses. The Team You will be joining the Detection team. The Detection team is responsible for keeping fraud rates low – and clients happy – by continuously training and deploying machine learning models. We aim to make model deployments as easy and error free as code deployments. Google’s Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under strict SLAs, every prediction must be returned in under 300ms. When models are not performing as expected, it’s down to the Detection team to investigate why. The Detection team is core to Ravelin’s success. They work closely with the Data Engineering Team who build infrastructure and the Intelligence & Investigations Team who liaise with clients. The Role We are currently looking for a Data Scientist to help train, deploy, debug and evaluate our fraud detection models. Our ideal candidate is pragmatic, approachable and filled with knowledge tempered by past failures. Evaluating fraud models is hard; often times we do not even get labels for 3 months. You’ll need to use your judgement when investigating cases of ambiguous fraud and when you’re investigating the veracity of the model itself. We have to build robust models that are capable of updating their beliefs when they encounter new methods of fraud: our clients expect us to be one step ahead of fraud, not behind. You will be given the equipment, space and guidance you need to build world class fraud detection models. The work is not all green field research. The everyday work is about making safe incremental progress towards better models for our clients. The ideal candidate is willing to get involved in both aspects of the job – and understand why both are important. Key Responsibilities Responsibilities - Build out our model evaluation and training infrastructure. - Develop and deploy new models to detect fraud whilst maintaining SLAs - Write new features in our production infrastructure - Research new techniques to disrupt fraudulent behaviour - Investigate model performance issues (using your experience of debugging models). - Mentor junior members of the team Skills, Knowledge and Expertise Requirements - Significant experience building and deploying ML models using the Python data stack (numpy, pandas, sklearn). - Understand software engineering best practices (version control, unit tests, code reviews, CI/CD) and how they apply to machine learning engineering. - Strong analytical skills. - Being a strong collaborator with colleagues outside of your immediate team, for example with client support teams or engineering. - Being skilled at communicating complex technical ideas to a range of audiences. - The ability to prioritise and to manage your workload. - Being comfortable working with a hybrid team Nice to haves - Experience with Docker, Kubernetes and ML production infrastructure. - Tensorflow and deep learning experience. - Experience using dbt. - Experience with Go, C++, Java or another systems language. Benefits Benefits - Flexible Working Hours & Remote-First Environment — Work when and where you’re most productive, with flexibility and support. - Comprehensive BUPA Health Insurance — Stay covered with top-tier medical care for your peace of mind. - £1,000 Annual Wellness and Learning Budget — Prioritise your health, well-being and learning needs with funds for fitness, mental health, and more. - Monthly Wellbeing and Learning Day — Take every last Friday of the month off to recharge or learn something new, up to you. - 25 Days Holiday + Bank Holidays + 1 Extra Cultural Day — Enjoy generous time off to rest, travel, or celebrate what matters to you. - Mental Health Support via Spill — Access professional mental health services when you need them. - Aviva Pension Scheme — Plan for the future with our pension program. - Ravelin Gives Back — Join monthly charitable donations and volunteer opportunities to make a positive impact. - Fortnightly Randomised Team Lunches — Connect with teammates from across the company over in person or remote lunches every other week on us! - Cycle-to-Work Scheme — Save on commuting costs while staying active. - BorrowMyDoggy Access — Love dogs? Spend time with a furry friend through this unique perk. - Weekly Board Game Nights & Social Budget — Unwind with weekly board games or plan your own socials, supported by a company budget *Job offers may be withdrawn if candidates do not meet our pre-employment checks: unspent criminal convictions, employment verification, and right to work.*