Data Scientist in Leicester

Data Scientist in Leicester

Leicester Full-Time 50000 - 100000 £ / year (est.) Working from home possible
TrueNorth

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 with strong Python skills and deep learning expertise.

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 Leicester 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.

TrueNorth

Contact Details:

TrueNorth Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in Leicester

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 seen. Plus, we love seeing candidates who are genuinely interested in joining our team.

We think you need these skills to ace Data Scientist in Leicester

AI/ML Application Development
Python
pandas
scikit-learn
LangChain
Deep Learning
Natural Language Processing (NLP)

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 the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!

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, especially in the pharma or healthcare sectors.

Communicate Clearly and Confidently

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, demonstrating your ability to mentor others and lead projects.

Stay Current with Industry Trends

Familiarise yourself with the latest advancements in AI and ML, particularly in the life sciences field. Be prepared to discuss recent developments and how they could apply to the role, showing your passion for continuous learning and innovation.