Senior Data Scientist
Listed on 2026-03-12
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
About our Team
Lexis Nexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.
Aboutthe Role
Do you want to help us build further data science capabilities? And are you eager to work on the quality of data sources serving our end-user products?
As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design, develop, and deploy cutting‑edge AI solutions. You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members.
ResponsibilitiesWorking closely with other data scientists and engineers to design, develop, and deploy AI solutions.
Leading the development of advanced AI and machine learning models to solve complex business problems.
Analyzing large datasets to identify patterns and trends that can inform AI development.
Collaborating with cross‑functional teams to ensure AI solutions are aligned with business goals and customer needs.
Evaluating and creating new frameworks and defining methodologies and governance.
Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
Working with product leaders to apply data science solutions.
Leading small‑to‑medium‑sized teams (direct or indirect).
Masters plus 2-3 years of post‑degree experience OR PhD with 1 or more year of commercial experience or related project/coursework within academia
Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
Have experience working directly with large language models and transformer‑based architectures including BERT, RoBERTa, T5 etc.
Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross‑functional teams.
Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
Possess advanced programming skills in Python, R, or other relevant languages for data analysis.
U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.
This job is eligible for an annual incentive bonus.
We know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. () to access benefits specific to your location.
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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.
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