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- Tasks: Build the data foundation and create predictive models in life sciences.
- Company: Join a forward-thinking company at the forefront of data innovation.
- Benefits: Competitive salary, company car, and opportunities for professional growth.
- Other info: Dynamic role with a focus on real-world applications and career advancement.
- Why this job: Transform your data engineering skills into impactful data science work.
- Qualifications: Background in maths, stats, physics, or Operations Research required.
The predicted salary is between 60000 - 67000 £ per year.
Winnersh - 2 days onsite at Winnersh Triangle - 45 mins by train from Paddington
£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 quant 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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those that highlight your ability to build predictive models. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Be ready to discuss how you can contribute to building that data foundation they’re after.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Engineer/Scientist - Life Sciences
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data engineering and any relevant projects you've worked on. We want to see how you can build that data foundation and what makes you a great fit for the role!
Tailor Your Application: Don’t just send in a generic CV and cover letter. Take the time to tailor your application to our job description. We love seeing candidates who understand what we’re looking for and can connect their skills to our needs.
Be Authentic: Let your personality shine through! We’re not just looking for qualifications; we want to know who you are and what drives you. Share your passion for data science and how you envision contributing to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Data Science Talent
✨Know Your Data Inside Out
Make sure you’re familiar with the data tools and technologies mentioned in the job description. Brush up on your knowledge of data pipelines, ETL processes, and any specific programming languages or frameworks that are relevant. Being able to discuss these confidently will show that you're not just a candidate, but a potential asset.
✨Showcase Your Modelling Skills
Since this role involves building predictive models, be prepared to discuss your experience with statistical modelling and machine learning. Bring examples of past projects where you've successfully implemented models, and be ready to explain your thought process and the impact of your work.
✨Understand the Life Sciences Context
Familiarise yourself with how data engineering and data science apply specifically to the life sciences sector. Research current trends, challenges, and innovations in this field. This will help you demonstrate your genuine interest and understanding of how your role can contribute to building a data foundation for impactful outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your interest in the company and the role. Inquire about the team dynamics, the types of projects you'll be working on, and how success is measured in this position. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.