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Data Scientist

Job in London, Greater London, W1B, England, UK
Listing for: La Fosse
Full Time position
Listed on 2026-03-07
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Machine Learning/ ML Engineer
Job Description & How to Apply Below

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Principal Consultant - Data, AI and ML Engineering

Senior Data Scientist

London (4 days a week in office)

La Fosse is proud to be partnering exclusively with a fast-scaling, product-first technology business based in London. Backed by major players in the Retail and Hospitality sectors, the company is rapidly expanding its AI capabilities and looking for a senior hire to help shape the future of its data science function.

What You’ll Be Doing

  • Lead the design, development, and deployment of production-grade AI/ML models with tangible business impact
  • Own and drive data initiatives across demand prediction, optimisation, and computer vision
  • Collaborate with cross-functional teams to embed machine learning solutions into the core product
  • Provide technical leadership and mentorship to junior and mid-level data scientists
  • Influence data architecture and support backend infrastructure (Python/Django/Go) for scalable ML deployment
  • Play a strategic role in shaping the future direction of data science within the business

What We’re Looking For

  • 4+ years of experience in a Data Science or Machine Learning role, with a proven track record of delivering value through AI
  • Strong academic background; a PhD in a relevant field (e.g., Computer Science, Applied Mathematics, Engineering) is highly preferred
  • Demonstrated ability to deploy production-level ML models—particularly in optimisation, demand forecasting, or computer vision
  • Advanced proficiency in Python and ML frameworks such as Scikit-learn, Tensor Flow, or Py Torch
  • Solid understanding of supervised and unsupervised learning, statistical modelling, and mathematical optimisation
  • Hands-on experience with AWS services, especially Sage Maker, Lambda, and related infrastructure
  • Willingness to contribute to backend development to support ML model integration

Why Join?

If you're looking to take a leading role in solving real-world problems using AI and data, and want to work in a mission-driven, intellectually curious, and fast-moving environment, this could be the perfect fit.

Seniority level
  • Seniority level

    Mid-Senior level
Employment type
  • Employment type

    Full-time
Job function
  • Job function

    Information Technology, Engineering, and Health Care Provider
  • Industries Data Infrastructure and Analytics, Hospitals and Health Care, and Technology, Information and Media

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