Data Engineer​/Scientist – Life Sciences Company Car

Bracknell – 2 days onsite per week

£60,000–£67,000 (depending on experience) + Company Car

Build The Data Foundation. Then Build Predictive Models

Most data engineering roles stay data engineering roles. This one won’t.

You studied maths, stats, physics, or maybe even Operations Research. You only took a data engineering job because it was the sensible move and there weren’t many opportunities available to become a Data Scientist. But deep down, you know you’re capable of more than just keeping the data flowing. You want to build models and get back to your quantitative core.

You’re just waiting for the role that takes you there.

This is that role.

Year one is about building something real and consequential – the data foundation for the entire UK & Ireland commercial operation on Databricks. Building robust automated data pipelines and preparing datasets for downstream analytics and data science. Automated data quality checks and reporting will also be key, ensuring the foundation is rock-solid.

Year two is about using that foundation for genuinely advanced work: predictive modelling, NLP on clinical data, and AI pre/post-call agents powered by LLMs. Customer segmentation using clustering models and Monte Carlo simulations will also feature.

This is not just a dashboarding team. Their work is end‑to‑end, which is rare for a large organisation. It’s more similar to a start‑up, but with resources and business opportunities that start‑ups can rarely match.

• Strong SQL, Python, and Spark/PySpark skills
• Experience in data pipeline design
• A quantitative degree – Maths, Stats, Physics, Operations research

You’ll be working for one of the world’s leading research‑driven pharmaceutical companies, with 140 years of heritage. They have over 50k employees and operations spanning 76 countries and are the largest privately owned Pharma company in the world. As a family‑owned business, they take a long‑term view – investing in breakthrough innovations that improve the lives of people and animals around the globe.

From developing treatments for chronic diseases to advancing computational biology, their work has a tangible impact on healthcare outcomes worldwide.