Data Scientist Battery Optimization (H1)

Drive the Energy Transition by optimizing batteries and diverse energy assets

Make real-world impact with models running 24/7 in a fast-paced trading environment

Collaborate across teams using cutting-edge tech: Python, Gurobi, Azure, and Databricks

Join Eneco Trading and contribute to the energy transition by developing innovative solutions for sustainable energy management.

Why choose Eneco?

As a frontrunner in the energy transition, Eneco is at the forefront of integrating new sustainable energy sources and innovative ways of storing and managing energy. Within Eneco Trading, our international trading division, we aim to be a leading player in the European energy market, delivering flexibility and grid stability through sustainable energy. In the Trade Operations & IT domain, we develop and optimize robust operational tools and processes that facilitate continuous energy delivery and optimize trading operations. Join us in contributing to the energy transition.
You will work in a company that is large enough to get things done and diverse in people and technology, yet agile and innovative enough to move fast. At Eneco, anyone with a sharp mind and a positive attitude can make a difference.

What you’ll do

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
• Design and implement monitoring frameworks for asset performance, based on real-time/realized asset data
• 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’ll be responsible for

• 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

Is this about you?

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

• You have a quantitative MSc or equivalent experience in Computer Science, Mathematics, Statistics, Econometrics, Physics, or a related quantitative field
• You bring around 5 years of experience in data science roles, with prior experience in the energy sector or trading being considered a plus
• You have experience with building and deploying scalable trading and/or optimization algorithms in the cloud
• Strong background in Python development: you know how to write modular and clean code, implement unit tests and proper monitoring
• 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
• Proactively initiating improvements and your drive to get things done is key
• You are familiar with - parts of - our tech stack: Azure Cloud, Gurobi, Kubernetes, Databricks, Airflow, Snowflake
• Strong command of English (Dutch is a plus)

This is where you’ll work

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.

What we have to offer

Gross annual salary between €86.000 and €120.000

Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.

FlexBudget

Have it paid out, use it to buy extra holiday days or save it up for something nice, it's up to you.

Personal and professional growth

Eneco is fully committed to help you in your personal and professional development.

Hybrid working: home, office or abroad

Work 40% at the office, 40% from home, and 20% flexibly. With manager approval, you may work abroad (within approved countries) up to 3 weeks/year, max 2 consecutively.

Work that works for you and the climate

If you decide on a career at Eneco, you are choosing ambition, growth and opportunities. You will have all the space you want to improve yourself and do your job the way that suits you best, which includes having a good work-life balance. You can work to a flexible schedule and work partly from home if your role allows it. That is how you can work on your own future and on the future of the world. After all, you and your 4,000 colleagues are committed to our mission: climate neutrality by 2035. We assist customers to accelerate their sustainability efforts, devise innovative solutions and seize opportunities with both hands. Are you ready?