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 Worcester 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, our remote work culture fosters collaboration and innovation, while offering competitive benefits such as generous leave, pension matching, and comprehensive health coverage. This is not just a job; it's a chance to make a meaningful difference in healthcare alongside some of the brightest minds in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Worcester
✨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 lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. We recommend including case studies that highlight your problem-solving abilities and impact in the pharma sector.
✨Tip Number 3
Prepare for interviews by practising common data science questions and coding challenges. We suggest doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Scientist in Worcester
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 apps 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 you can contribute to our mission in the pharma data space. Keep it engaging and personal – we love a good story!
Showcase Your Projects:If you've got any cool projects or prototypes, don’t hesitate to share them! Whether it's a GitHub repo or a portfolio, showing us your hands-on experience with tools like Python and LLMs will definitely catch our eye.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter 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 and scikit-learn, as well as any relevant experience with AWS services. Being able to discuss these tools confidently will show that you’re ready to hit the ground running.
✨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’ve led initiatives from concept to production, and be ready to explain your thought process and the impact of your work. This will demonstrate your ability to take ownership and deliver results.
✨Communicate Clearly and Effectively
As a Data Scientist, you’ll need to collaborate with cross-functional teams. Practice explaining complex technical concepts in simple terms. During the interview, focus on how you can convey your ideas clearly, which will highlight your strong communication skills and ability to mentor others.
✨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 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 that involves cutting-edge technology.
