Forecasting Data Scientist

Are you a Data Scientist with strong forecasting experience who’s comfortable taking models from concept through to production? This is an opportunity to work on real-world forecasting use cases within a large Energy organisation, where your work will directly support pricing, demand planning, and operational decisions.You’ll be part of a cross-functional product team, working closely with Product Managers, Data Engineers, and Architects to build and deploy scalable data science solutions that are actually used - not just explored.Your Role as a Data Scientist (Forecasting):You will focus on building and delivering forecasting models that solve concrete business problems. This role spans the full lifecycle - from understanding requirements through to deployment and ongoing optimisation.You’ll work closely with both technical and business stakeholders to ensure models are accurate, reliable, and aligned with how decisions are made.What You’ll Do:Develop and implement forecasting models using classical/statistical approaches (time series, regression-based methods)Translate business problems (pricing, demand, parts forecasting) into practical data science solutionsCollaborate closely with Product Managers to align model outputs with business needs Work alongside Data Engineers to ensure robust data pipelines and production-ready deploymentContribute to MLOps practices including deployment, monitoring, and model lifecycle managementEngage with stakeholders to understand context and refine requirementsPartner with architects to align solutions with system architecture and scalability goalsContinuously improve model performance based on real-world usageWhat You’ll Bring:Strong experience in forecasting and time series modelling (classical/statistical approaches)Proficiency in Python for data science and model developmentHands-on experience with AWS SageMaker for model development and deploymentExperience with Amazon Bedrock or similar platformsUnderstanding of MLOps practices (CI/CD, model versioning, monitoring, deployment pipelines)Experience working with production data systems and collaborating with Data EngineersAbility to translate business problems into structured, data-driven solutionsWhy Join the Remobi community:Fully remote, b2b/freelance contractsOpportunity to work on large-scale, high-impact transformation programmesAccess to a network of experienced data, AI, and engineering professionals across Europe👉 Apply today:If you’re comfortable owning forecasting models end-to-end and getting them into production, this is a strong fit.