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 Edinburgh 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 Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks 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 get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. We recommend including case studies or GitHub links to demonstrate your expertise in Python and deep learning. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. We suggest practising common data science interview questions and even doing mock interviews with friends.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Remember, we’re all about making connections that last!
We think you need these skills to ace Data Scientist in Edinburgh
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 in data and the impact your solutions had. 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 others.
✨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 and how they could apply to the role. This shows your passion for the field and your commitment to continuous learning.
