Data Scientist - battery optimization

As a data scientist, you will develop and improve our short-term trading asset scheduling models for our new inhouse-build platform. You will enhance the value of Eneco’s diverse asset portfolio, which includes batteries, Combined Heat and Power (CHP) systems, heat grids, Combined Cycle Gas Turbines (CCGTs), e-boilers, wind turbines, and solar panels across multiple energy markets. These models continuously run and support our 24/7 operations. You will work closely together with Tech, forecasters, traders and dispatchers. The initial focus will be on the battery models.

• Optimize energy asset dispatch through mathematical modelling (Gurobi).
• Drive innovation and continuous efforts to improve modelling to stay ahead of the market
• Translate contracts and market opportunities into mathematical models
• Play a pivotal role to develop and continuously improve models in a robust and reliable manner in collaboration with the Business and Tech
• Ensuring operational stability together with the traders, Tech, product managers and dispatchers
  We aim to have a fast feedback loop of deploying, learning and adjusting, meaning there is a strong focus on ownership and scalable automation of processes. Deploying your model makes real world impact – often the same day! 

You are a thinker who knows how to connect and translate business needs into solutions by doing.

• You have an academic background in a quantitative STEM field, such as Mathematics, Econometrics, Computer Science, Physics, or a related discipline
• You bring around 5 years of experience in data science roles, with prior experience in the energy sector or trading is a big plus
• Strong background in Python development
• You understand underlying business problems, can distinguish between main and secondary issues and are able to translate these into robust data driven solutions
• You have experience with SQL databases, Databricks and streaming data
• You are familiar with our tech stack: Azure Cloud, Gurobi, Kubernetes, Databricks, Airflow, Snowflake
• Strong command English (Dutch is a plus)

• Developing and maintaining advanced mathematical models for asset optimization
• Driving automation and scalability
• Collaborating closely with teams across Trading, Forecasting, Tech, and Operations to deliver integrated, high-impact solutions

Working at Eneco means working at a sustainable company where we strive for a new world. A world that is smarter, better, cleaner, more fun and more livable. We do this together with more than 3,000 colleagues, according to 'the new way of working', in a beautiful modern building: Eneco World. Eneco World is easily accessible: a two-minute walk from Rotterdam Alexander metro and train station
You will join the Analytics & Realization Team, part of the Trade Operations & IT. The team consists of around 18 professionals (junior to senior), including analysts, project leads and data scientists. Together, you implement change quickly, effectively, and sustainably.
Eneco Trading is a fast-paced environment with over 150 highly educated professionals working on trading, forecasting, operations and IT. We value collaboration, initiative, and short communication lines.
Eneco World is our modern and sustainable headquarters in Rotterdam, just a two-minute walk from Rotterdam Alexander station. We work hybrid: combining the best of office presence and remote work.