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 and ML technologies.
- Qualifications: 5+ years in AI/ML with strong Python skills and deep learning experience.
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 Manchester 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 Manchester
✨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
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 are proactive about their job search.
We think you need these skills to ace Data Scientist in Manchester
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 our needs!
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 your experience in the pharma domain if you have it!
Showcase Your Projects:If you've got any cool projects or prototypes, make sure to include them! We love seeing practical examples of your work, especially those that demonstrate your expertise in Python and ML solutions.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 can actually apply them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled real-world problems using AI/ML. Think about projects where you led the charge from concept to production. Highlight your thought process, the challenges you faced, and how you overcame them. This will demonstrate your ability to take ownership and deliver impactful solutions.
✨Communicate Clearly and Effectively
As a Data Scientist, you’ll need to collaborate with cross-functional teams. Practice explaining complex concepts in simple terms. During the interview, focus on being clear and concise in your responses. This will show that you can communicate effectively with both technical and non-technical stakeholders.
✨Stay Current with 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 breakthroughs that excite you. This shows your passion for the field and your commitment to staying ahead of the curve.
