At a Glance
- Tasks: Design and deploy AI and ML solutions across various business functions.
- Company: Join a fast-moving, high-impact Data Science & AI team at LexisNexis.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with cross-functional teams and drive actionable insights.
- Why this job: Make a real impact with cutting-edge technology in a dynamic environment.
- Qualifications: Strong Python skills and experience with OpenAI APIs and machine learning.
The predicted salary is between 60000 - 80000 £ per year.
Job Overview
We are seeking a Senior Data Scientist II who is a Data Science Generalist.
The ideal candidate is comfortable working across Gen AI, 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.
We are a fast‑moving, high‑impact Data Science & AI team building real‑world Gen AI and ML solutions across the entire Lexis Nexis business.
Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering—from predictive models to enterprise Gen AI apps to automation that transforms how teams operate.
Responsibilities
- Design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering.
- Build Gen AI applications using Open AI APIs, embeddings, vector search, and retrieval‑augmented generation (RAG).
- Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety.
- Develop and deploy traditional ML models (e. g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence).
- Own the end‑to‑end model lifecycle: data prep, experimentation, deployment, and monitoring.
- Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS.
- Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing.
- Ensure data quality, observability, lineage, and documentation across data and ML pipelines.
- Deliver enterprise integrations with Salesforce (SFDC) and Oracle platforms (Fusion, Service Cloud, Peoplesoft) for batch and real‑time workflows.
- Create analytics solutions with cross‑functional partners: define KPIs, connect customer/product/finance/CRM data, and drive actionable recommendations.
- Productionise reliably: provide L2/L3 support, monitor drift/data quality/prompt performance, run root‑cause analysis, and implement preventative fixes.
Qualifications
- Strong Python programming skills.
- Direct experience with Open AI 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 behavioral datasets.
- 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.
- #J-18808-Ljbffr
Senior Data Scientist II in London employer: RELX Group
As a leading innovator in the research community, our company offers an exceptional work environment for Java Software Engineers, fostering collaboration and creativity. With a strong emphasis on employee growth, we provide ample opportunities for professional development through hands-on projects and mentorship in a dynamic Agile setting. Located in a vibrant area, our culture promotes work-life balance and inclusivity, making it an ideal place for those seeking meaningful and rewarding employment.
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We think you need these skills to ace Senior Data Scientist II in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at RELX Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
