Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build data foundations and predictive models in a dynamic life sciences environment.
- Company: Join a leading research-driven pharmaceutical company with a rich heritage.
- Benefits: Competitive salary, company car, and opportunities for impactful work.
- Why this job: Transform your data engineering skills into advanced data science projects that make a difference.
- Qualifications: Strong SQL, Python, and Spark/PySpark skills required.
- Other info: Experience a start-up vibe with the resources of a global leader.
The predicted salary is between 60000 - 67000 £ per year.
£60,000–£67,000 (depending on experience) + Company Car
Build The Data Foundation. Then Build Predictive Models.
This role is not just about data engineering; it’s about building models and returning to your quantitative core. Year one focuses on creating the data foundation for the entire UK & Ireland commercial operation on Databricks, which includes:
- Building robust automated data pipelines
- Preparing datasets for downstream analytics and data science
- Implementing automated data quality checks and reporting
Year two will leverage that foundation for advanced work, including:
- Predictive modelling
- NLP on clinical data
- AI pre/post-call agents powered by LLMs
- Customer segmentation using clustering models and Monte Carlo simulations
This team operates end-to-end, which is rare for a large organisation, resembling a start-up but with unmatched resources and business opportunities.
What you’ll need:
- Strong SQL, Python, and Spark/PySpark skills
About the company:
You will be working for one of the world’s leading research-driven pharmaceutical companies, with over 50k employees and operations in 76 countries. As the largest privately owned Pharma company globally, they invest in breakthrough innovations that improve lives worldwide.
Data Engineer/Scientist - Life Sciences in Bracknell employer: Data Science Talent
Contact Detail:
Data Science Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer/Scientist - Life Sciences in Bracknell
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially any predictive models or automated pipelines you've built. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL, Python, and Spark skills. Be ready to discuss how you've used these tools in real-world scenarios, especially in life sciences or similar fields.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a better chance of getting noticed by the hiring team.
We think you need these skills to ace Data Engineer/Scientist - Life Sciences in Bracknell
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data engineering and data science shine through. We want to see that you’re not just looking for a job, but that you’re genuinely excited about building predictive models and working with data in a meaningful way.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight your relevant skills in SQL, Python, and Spark/PySpark. We love seeing how your background in maths, stats, or physics aligns with the role, so don’t hold back on showcasing your experience!
Be Clear About Your Goals: In your application, share your career aspirations and how this role fits into your journey. We’re looking for someone who wants to grow beyond just data engineering, so let us know how you envision using the data foundation to create impactful models.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Data Science Talent
✨Know Your Tech Stack
Make sure you brush up on your SQL, Python, and Spark/PySpark skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Role's Impact
This position is about building a data foundation and predictive models. Familiarise yourself with the company's goals and how your role contributes to their mission. Be prepared to share your thoughts on how you can add value in both the data engineering and data science aspects.
✨Showcase Your Problem-Solving Skills
Expect questions that assess your analytical thinking. Prepare examples of how you've tackled complex data problems in the past, especially those involving automated data pipelines or quality checks. Highlight your quantitative background and how it informs your approach.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s projects, the tools they use, and their vision for the future. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.