At a Glance
- Tasks: Lead AI projects that revolutionise drug development and access in the pharma industry.
- Company: Global leader in life sciences data and AI, working with top pharma companies.
- Benefits: Competitive salary, generous leave, pension match, and health benefits.
- Other info: Remote work with opportunities for mentorship and career growth.
- Why this job: Make a real impact in healthcare using cutting-edge AI technologies.
- Qualifications: 5+ years in AI/ML, strong Python skills, and experience in healthcare preferred.
The predicted salary is between 50000 - 100000 £ per year.
Join a global life sciences data & AI leader powering the world’s top pharma companies, biotechs, and regulators. You’ll ship end-to-end ML that transforms how drugs are developed, launched, and accessed.
About the Role
Lead one major AI release at a time with full ownership, typically from concept to production in ∼6 months. They solve real problems using agentic AI, MCP servers, RAG, LLMs, knowledge graphs, classical ML, and smart data logic — tech is secondary to impact.
Responsibilities
- Partner with product to find high-impact AI/ML opportunities in pharma data + products
- Research, prototype, and rigorously test ML solutions; validate PoCs with cross-functional teams
- Deploy production-grade microservices with engineering/DevOps
- Contribute to shared data science platforms and data assets
- Stay current on SOTA AI and present findings internally
Qualifications
STEM degree or equiv. experience
Required Skills
- 5+ years building AI/ML apps + data-driven solutions
- Expert Python: pandas, scikit-learn, LangChain, etc.
- Deep LLM experience: APIs, prompt engineering, RAG, agentic systems
- Strong GenAI, NLP, deep learning, and CS fundamentals
- Proven ability to engineer + deploy well-architected software
- Strong communicator who can own projects end-to-end and mentor juniors
Preferred Skills
- Healthcare/pharma domain expertise
- AWS: ECS, Bedrock, SageMaker, serverless
- Full-stack PoC prototyping skills
- Expert with AI coding tools/workflows
Pay range and compensation package
£ 50K - £100K | 25 days leave + 4 volunteering days + personal day | 5% pension match | Life Assurance & Income Protection, Voluntary Dental, PMI, Health Screening.
Data Scientist in Peterborough employer: TrueNorth
Join a pioneering global leader in life sciences data and AI, where you will have the opportunity to make a significant impact on the pharmaceutical industry. With a strong focus on employee growth, our remote work culture promotes flexibility and collaboration, while offering competitive benefits such as 25 days of leave, a generous pension match, and comprehensive health coverage. Here, your expertise in AI/ML will not only be valued but also nurtured, allowing you to lead innovative projects that transform drug development and access.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Peterborough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML. We love seeing real-world applications of your work, so make sure to highlight your impact.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make a difference in the pharma space.
We think you need these skills to ace Data Scientist in Peterborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with AI/ML applications and any relevant projects you've worked on. We want to see how your skills align with what we do at StudySmarter!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our mission. Be sure to mention any specific technologies or methodologies from the job description that you’re familiar with.
Showcase Your Projects:If you've got a portfolio of projects, don’t hold back! Include links to your GitHub or any other platforms where we can see your work. We love seeing practical examples of your skills in action, especially in the healthcare/pharma domain.
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’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at TrueNorth
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, LLMs, and ML frameworks. Brush up on your knowledge of pandas and scikit-learn, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled real-world problems using AI/ML. Think about how you identified opportunities, prototyped solutions, and validated them with cross-functional teams. This will demonstrate your ability to lead projects from concept to production.
✨Communicate Clearly and Confidently
As a Data Scientist, you'll need to explain complex concepts to non-technical stakeholders. Practice articulating your thoughts clearly and concisely. Use examples from your experience to illustrate your points and show that you can mentor juniors effectively.
✨Stay Current on Industry Trends
Familiarise yourself with the latest advancements in AI and ML, especially in the healthcare and pharma sectors. Be prepared to discuss recent developments and how they could impact the role. This shows your passion for the field and your commitment to continuous learning.
