Responsibilities + Lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration. + Perform advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes. + Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify opportunities and address business challenges. + Be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues. + Design, develop and implement data science strategies that drive measurable business results. + Design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action. + Develop production-level code using Python, ensuring scalability and integration with cloud platforms such as AWS, GCP, or Azure. + Communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. + M aintain comprehensive documentation of projects, models, and code for knowledge sharing and reproducibility. + Stay up-to-date with the latest trends and techniques in data science and contribute to the development of innovative solutions. Requirements + Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field. + Proven experience (1+ years) in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models. + Proven experience (5+ years) with statistical modeling, hypothesis testing, machine learning, deep learning, optimization , Gen-AI or other data science techniques to implement end-to-end data science projects. + Expertise in prompt engineering for fine-tuning language models like GPTs or similar models. + Proficiency in programming languages such as Python, as well as relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch). + Analyse datasets using statistical and visualization techniques to identify patterns, trends and relationships. + Excellent communication skills, including the ability to convey complex technical concepts to non-technical stakeholders. + Demonstrate clear and thorough logical and analytical thinking, as well as problem-solving skills and high attention to detail. + Experience working in a cloud (AWS / GCP / Azure) environment is a plus + Proficiency in both written and spoken English LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120. Please read our Candidate Privacy Policy (https://www.relx.com/careers/join-us/privacy) . RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.