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Research Data Scientist - Machine Learning in London

Energy Jobline ZR
City of London
1 day ago
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Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.


We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.


Job Description

Principal Data Scientist Logistics AI Company (Up to £120,000 per annum)


London (4 days per week in office)


La Fosse has partnered with an ambitious AI company transforming how businesses in the logistics sector operate. La Fosse is supporting this rapidly expanding AI business in preparing for an international launch; we’re now looking for a Senior and Principal Data Scientist.


Build, deploy, and scale machine learning systems that forecast demand, optimise staffing, and improve operational performance across thousands of venues.


Lead projects end-to-end, from data design and modelling through to validation, deployment, and monitoring.


Develop AI systems across areas such as computer vision, forecasting, optimisation, and emerging generative or agentic models.


Partner with engineers to design scalable ML pipelines, APIs, and real-time infrastructure.


Qualifications & Experience

  • Background in Computer Science, Mathematics, Data Science, or AI (Master’s or PhD).
  • ~5+ years’ experience developing and deploying ML models in production environments.
  • Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face.
  • Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.).
  • Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision.
  • Curious, proactive, and excited to work in a fast-moving environment where AI drives everything we do.

Ready to build AI that transforms how real-world operations run? Apply now and help shape the future of intelligent logistics.


If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.


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