Senior Data Scientist II

Senior Data Scientist II Are you ready to take your data science expertise to the next level and lead impactful projects? Would you enjoy working on advanced machine learning models and cutting‑edge analytics solutions? About our team We are a fast‑moving, high‑impact Data Science & AI team building real‑world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering—everything from predictive models to enterprise GenAI apps to automation that transforms how teams operate. We are data science generalists who love variety. One day, it is designing a new GenAI workflow, the next it is deploying a model into Salesforce or engineering a pipeline in Databricks. We own our projects end‑to‑end and partner directly with stakeholders to deliver solutions that get used and make a measurable difference. If you want to experiment, build, ship, and see your work drive real impact across a global organisation, you will feel right at home with us. About the role We are seeking a Senior Data Scientist II who is a Data Science Generalist. The ideal candidate is comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations. In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end‑to‑end across ideation, modelling, experimentation, prompt engineering, deployment, monitoring, and stakeholder communication. This position is ideal for a versatile data scientist who enjoys solving diverse problems, working with multiple systems, and driving measurable business impact. Key responsibilities AI, GenAI and Machine Learning Build GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval augmented generation. Develop advanced prompt engineering patterns and automated evaluation frameworks. Build and deploy traditional ML models, including churn prediction, propensity to buy, customer sentiment and feedback analysis, lead scoring and customer intelligence models, etc. Own the full model lifecycle, including data preparation, experimentation, deployment, and monitoring. Data Engineering and Cloud Work Build and optimise feature pipelines and model scoring jobs using AWS, Python, Databricks, Spark, and Delta Lake. Leverage AWS services, including S3, Redshift, and Lambda for data automation and orchestration. Ensure data quality, observability, lineage, and documentation across pipelines. Enterprise System Integrations Build and deploy model and data integrations with: Salesforce (SFDC), Oracle Fusion, Oracle Service Cloud, Oracle Peoplesoft Support real‑time and batch workflows that enhance CRM, sales, customer service, and marketing operations. Analytics and Insights Collaborate with cross‑functional teams to define KPIs and develop analytics solutions. Provide insights that connect customer behaviour, product usage, finance, and CRM data. Translate insights into actionable recommendations that support product, sales, and customer strategy. Productionisation, Reliability and Support Provide L2 and L3 support for AI and ML pipelines. Implement monitoring for model drift, data quality, and prompt performance. Lead root‑cause analysis and build preventive systems for long‑term stability and reliability. Cross‑Functional Collaboration Partner closely with Product, Engineering, Finance, Sales, Operations, Marketing, and Customer Facing teams. Translate business challenges into AI and ML solutions with clear ROI. Communicate technical concepts in a clear and actionable manner for non‑technical stakeholders. Support the adoption of AI and ML solutions through demos, documentation, and training. Requirements Core Technical Skills Strong Python programming skills. Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including S3 and Lambda. Familiarity with Redshift, Snowflake, or other cloud data warehouses. Experience with behavioural datasets. Generalist Strengths Ability to work across machine learning, data engineering, analytics, and integrations. Ability to design end‑to‑end solutions spanning data, models, APIs, and automation workflows. Strong communication and stakeholder management skills. Ability to operate independently with minimal direction and actively mentor junior data scientists through technical guidance and best practices. Ability to manage multiple workstreams and deliver independently. Nice to Have Experience with MLflow or other MLOps platforms. Experience with CI or CD and DevOps practices. Experience building customer‑facing or enterprise GenAI applications. Knowledge of engineering analytics or operational metrics. Why Join Us? If you are fascinated by the changes happening in the legal market and want to get to the heart of innovation in this space, then this is the role for you. Come join our award‑winning, growing team Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well‑being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programmes Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave. Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About our business LexisNexis, a division of FTSE 100 RELX Group, is a leading provider of legal and tax information, data, analytics, and software solutions to legal service providers around the world. In the UK, our customers include many law firms, the bar and bench, local and central public sector, tax advisors, and many corporate counsels. LexisNexis Enterprise Solution is the division of LexisNexis UK that delivers software solutions, including Lexis Omni, a platform that allows legal professionals to work anywhere, anytime, and however they need. 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 or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, colour, 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. USA Job Seekers EEO Know Your Rights. #J-18808-Ljbffr