At a Glance
- Tasks: Build the data foundation and create predictive models that make a real impact.
- Company: Join a leading life sciences company with a focus on innovation.
- Benefits: Competitive salary, company car, and flexible working arrangements.
- Other info: Exciting opportunity for career growth in a dynamic and impactful environment.
- Why this job: Transform your data engineering skills into data science and shape the future of UK life sciences.
- Qualifications: Background in maths, stats, physics, or Operations Research; passion for data science.
The predicted salary is between 60000 - 67000 € per year.
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.
DATA ENGINEER/SCIENTIST – LIFE SCIENCES £60,000–£67,000 (DEPENDING ON EXPERIENCE) + COMPANY CAR employer: Data & AI Magazine
Join a forward-thinking company in Bracknell that values innovation and growth, offering you the chance to transition from data engineering to data science. With a competitive salary, a company car, and a collaborative work culture, you'll have the opportunity to build impactful predictive models while enjoying a balanced work-life with just two days onsite per week. We prioritise employee development, ensuring you have the resources and support to reach your full potential in a meaningful role.
StudySmarter Expert Advice🤫
We think this is how you could land DATA ENGINEER/SCIENTIST – LIFE SCIENCES £60,000–£67,000 (DEPENDING ON EXPERIENCE) + COMPANY CAR
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those predictive models you’ve built. We want to see your quantitative prowess in action, so make sure it’s easy for potential employers to find.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data needs. We recommend practising common data engineering and science questions, so you’re ready to impress when it counts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace DATA ENGINEER/SCIENTIST – LIFE SCIENCES £60,000–£67,000 (DEPENDING ON EXPERIENCE) + COMPANY CAR
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let us see your enthusiasm for data engineering and science. Share any projects or experiences that highlight your skills and how they relate to building predictive models. We want to know what drives you!
Tailor Your CV:Make sure your CV is tailored to the role. Highlight relevant experience in maths, stats, or physics, and don’t forget to mention any specific tools or technologies you've used. We love seeing how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell your story. Explain why you’re excited about this opportunity and how you envision contributing to building the data foundation. We appreciate a personal touch that shows us who you are beyond your CV.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Data & AI Magazine
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with the latest trends and technologies in data engineering and data science, especially in life sciences. Brush up on your knowledge of predictive modelling and be ready to discuss how you can apply your skills to build a solid data foundation.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in previous roles and how you overcame them. This is your chance to demonstrate your analytical thinking and quantitative skills, which are crucial for this position. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy and how they envision the role evolving from data engineering to data science. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
✨Be Ready to Discuss Your Transition
Since this role is a step towards data science, be prepared to explain why you want to transition from data engineering to data science. Highlight your passion for building models and your desire to leverage your quantitative background. This will help the interviewers see your motivation and long-term vision.
