Data scientist (marketing) in London
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
Data Scientist London \n Up to £110K \n\n We’re looking for a commercially minded Data Scientist with a strong foundation in machine learning to help us solve practical, high-impact problems across hospitality and workforce optimisation. \n\n You’ll work with real partner data to build and deploy models that improve labour planning, service quality, and decision-making at scale. \n\n What you'll be doing: \n\n Developing and deploying machine learning models to forecast demand and optimise labour allocation \n Measuring and improving quality of service using data-driven models \n Exploring and interpreting partner data to uncover insights and present them clearly to both internal and external stakeholders \n Building visualisations, tools, and infrastructure to make our processes and outputs scale smoothly \n Collaborating across teams to bring technical solutions to life — and deliver real value for our partners \n\n What we're looking for: \n\n~4 + years of experience building production-ready ML models \n~ Strong Python skills and hands-on familiarity with ML libraries and frameworks \n~ Solid understanding of supervised and unsupervised learning, and the judgement to apply the right approach \n~ Previous experience developing real-world ML products in areas like demand forecasting, optimisation, or computer vision \n~ Comfortable working with AWS services (e.g.
SageMaker, Lambda)\n~ Strong grasp of statistics and modelling, with the ability to turn raw data into actionable insight \n~ Willingness to learn the basics of backend development (Python/Django or Go) to support end-to-end delivery
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.