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Lead Data Scientist

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Loop Recruitment
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 140000 GBP Yearly GBP 140000.00 YEAR
Job Description & How to Apply Below

Central London (Hybrid - up to 2 days in office)

Our client partners with some of the world’s most recognisable brands to deliver innovative, data-driven solutions that transform customer experience, strategy, and performance.

From global enterprises to digital-first disruptors, they help businesses harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly changing market.

ROLES:
Lead Data Scientist (Bioscience)
Salary
:
Up to £140,000

We are seeking Lead Data Scientists to take pivotal roles across a number of high profile Life Sciences clients. This is a technical and leadership position - perfect for people who want to influence the direction of AI and data science solutions across real-world business problems. Ideally you will have prior experience with any modern AI approaches - GenAI, Agentic etc.

You will set the technical vision, oversee project teams, and serve as a trusted advisor to senior stakeholders - defining approaches to complex data challenges, guiding enterprise-scale AI applications, and mentoring a team of talented data scientists.

What You’ll Bring
  • Deep expertise in machine learning
  • Data science tools (Num Py, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, Tensor Flow)
  • Track record delivering impactful AI/ML projects (e.g. forecasting, recommendation systems, or optimisation)
  • Experienced project lead with strong technical decision-making and architecture ownership
  • Excellent communicator — able to translate complex technical insights into real business value
  • Passionate mentor/manager who enjoys developing and growing data science talent
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