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Marketing Data Scientist in London

Energy Jobline ZR
City of London
2 days 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

Senior Data Scientist 95,000 - 120,000
London (4 days a week in office)
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.

  • 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
  • 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 desirable
  • 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
  • Hands‑on experience with AWS services, especially SageMaker, Lambda, and related infrastructure
  • Willingness to contribute to backend development to support ML model integration

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.

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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