Data Scientist

La Fosse

London

1 month ago

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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, TensorFlow, or PyTorch
Solid understanding of supervised and unsupervised learning, statistical modelling, and mathematical optimisation
Hands-on experience with AWS services, especially SageMaker, 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 levelMid-Senior level

Employment type

Employment typeFull-time

Job function

Job functionInformation Technology, Engineering, and Health Care Provider
IndustriesData Infrastructure and Analytics, Hospitals and Health Care, and Technology, Information and Media

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