Data Scientist Short Term Trading

What are you going to do?

As a Data Scientist in the Flex Optimization team, you’ll work on data driven solutions that maximize the value of Eneco’s steerable asset portfolio by optimizing their flexibility across short-term power and ancillary markets.

Your work will impact Eneco’s trade result and contributes to a smarter, cleaner energy system. You will build optimization strategies, bidding algorithms and machine learning models that operate in fast-moving, real-time energy markets (such as real time trading applications for battery optimization). You will work side by side with other data scientists and traders to see where data science can add the most value. We aim to have a fast feedback loop of deploying, learning and adjusting, meaning that there is a strong focus on ownership and scalable automation of processes. Deploying your model makes real world impact – often the same day!

You will be working with large and growing datasets, so a continuous effort to improve forecasting, modelling, and decision support tooling is essential to stay ahead. Apart from developing these models you will also play a pivotal role to productionize those in a robust and reliable manner.

You’ll be responsible for

• Developing and maintaining advanced analytical models for cross-market optimization and bidding strategies. Using machine learning and (non)linear optimization methodologies.
• Driving automation and scalability, identifying where manual processes can be streamlined and operationalized.
• Identifying new ways to add value with data science in close collaboration with the traders to deliver integrated, high-impact solutions.

What do we ask?

• You have a quantitative MSc or equivalent experience in Computer Science, Mathematics, Statistics, Econometrics or a related quantitative field.
• You bring around 5 years of hands on experience in data science roles in a business context, with prior experience in (energy) trading being considered a plus.
• Proficient with optimization techniques such as linear programming.
• 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 do not hesitate to reach out to stakeholders from the business or IT side to make sure you build the best solution possible.
• You are familiar with - parts of - our tech stack: Azure Cloud, Kubernetes, Databricks, Airflow, Snowflake.

What do we offer?

Gross annual salary between €86.000 and €128.000. 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.