Senior Data Scientist I

Job description

Would you like to be part of a team that delivers high-quality software to our customers?      Are you a visible champion with a ‘can do’ attitude and enthusiasm that inspires others?      About the Business   LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com     About the Team   You’ll join a collaborative squad that includes a Squad Lead, Business Analyst, Development Lead, Developers, and Testers. Our squad model encourages teamwork, shared responsibility, and efficient delivery—everyone contributes to achieving a common goal.    About the Role   You will join the Data Science team within the Brightmine ProdTech organization. The team builds AI‑ and Generative AI‑driven capabilities for Brightmine’s client‑facing products. These products support HR teams across the US, UK, and the Netherlands in solving practical, real‑world challenges.  In this role, you will apply Machine Learning (ML), statistical methods, and Large Language Models (LLMs) to design, build, and deliver solutions that are used in real products. You will work end‑to‑end—from understanding the problem and experimenting with ideas through to deploying and maintaining solutions in production.  You will collaborate closely with a distributed, cross‑functional team of data scientists, software engineers, and product partners based in the US, UK, India, and the Netherland  Responsibilities:     • 5&#43; years of relevance experience • Own data science work from problem definition through experimentation and deployment in production environments.  • Develop ML, analytics, and AI or GenAI features that support Brightmine’s client‑facing products.  • Apply ML, statistical, and LLM‑based approaches to create solutions that are practical, scalable, and aligned with business needs.  • Design and run data‑driven experiments, using evidence and outcomes to guide technical and product decisions.  • Write production‑quality Python code and contribute to shared GitHub repositories, with a focus on clarity, reliability, and maintainability.  • Share insights, trade‑offs, and recommendations clearly with partners across product, engineering, and leadership.  • Contribute to and continuously improve team data science practices.     Requirements:     • Applied experience using machine learning, statistical methods, and/or LLM‑based techniques to solve real‑world problems.  • A solid foundation in ML, statistics, and modern AI approaches, such as prompt‑based methods and retrieval‑augmented techniques.  • Experience writing Python code used in production systems. </spa