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 Bath employer: TrueNorth
Join a pioneering global leader in life sciences data and AI, where as a Data Scientist, you will have the opportunity to lead impactful AI projects that revolutionise drug development. With a strong emphasis on employee growth, a collaborative work culture, and a comprehensive benefits package including generous leave and health support, this remote role offers a unique chance to make a difference while enjoying a fulfilling work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Bath
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. We recommend including any prototypes or research you've done. This is your chance to demonstrate your expertise and passion for data science.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. We suggest doing mock interviews with friends or using online platforms. Being well-prepared will help you shine when it counts!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented data scientists like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Scientist in Bath
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're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit. Don’t forget to mention any specific technologies or methodologies you’ve used that relate to our needs.
Showcase Your Projects:If you've got a portfolio of projects, make sure to include it! We love seeing real examples of your work, especially those that demonstrate your expertise in Python, LLMs, and AI solutions. It gives us a better idea of what you can bring to the table.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It streamlines the process for us and ensures your application lands in the right hands. Plus, it shows you're keen on joining our team!
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, scikit-learn, and any relevant AI tools. Being able to discuss these confidently will show that you’re not just familiar with them, but that you can actually apply them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled real-world problems using AI/ML solutions. Think about projects where you led the charge from concept to production. This is your chance to demonstrate how you can identify high-impact opportunities and deliver results, which is key for this role.
✨Communicate Clearly and Effectively
As a Data Scientist, you’ll need to explain complex concepts to non-technical stakeholders. Practice articulating your thought process and findings in a way that’s easy to understand. This will not only help you during the interview but also show that you can mentor juniors and collaborate across teams.
✨Stay Current with Industry Trends
Familiarise yourself with the latest advancements in AI and ML, especially in the healthcare and pharma sectors. Be ready to discuss recent developments or case studies that excite you. This shows your passion for the field and your commitment to continuous learning, which is crucial for a role focused on innovation.
