Data Scientist

November 7, 2026

Hybrid

Middle

Rotterdam, Netherlands

Indeed

Also worth knowing

Mandatory office attendance
2 days per week

Description

Data Scientist role in the Flex Optimization team of an international energy trading division in Rotterdam. You will build optimization strategies, bidding algorithms and machine learning models that operate in fast-moving, real-time energy markets such as Battery Energy Storage Systems. The work covers developing, deploying and productionizing scalable data-driven applications with Python, working with large streaming datasets and improving forecasting and decision support tooling. You will collaborate closely with quants and traders to deliver analytics with real-world impact.

Responsibilities

Build optimization strategies, bidding algorithms and machine learning models for fast-moving real-time energy markets such as Battery Energy Storage Systems
Develop and maintain data-driven applications for cross-market optimization, bidding and decision-making
Apply mathematical optimization, machine learning, heuristics and other quantitative methods
Work with large and growing datasets to continuously improve forecasting, modelling and decision support tooling
Productionize developed applications in a robust and reliable manner
Drive automation and scalability by streamlining and operationalizing manual processes
Identify new ways to add value with analytics in close collaboration with traders
Operate with a fast feedback loop of deploying, learning and adjusting models

Requirements

Quantitative MSc or equivalent experience in Computer Science, Mathematics, Statistics, Econometrics or a related quantitative field
3 years of hands-on experience in a quantitative role within a business context; prior experience in energy trading is a plus
Strong quantitative problem-solving skills and experience developing algorithms or analytical models; experience with (non-)linear optimization is a plus
Strong background in Python development: writing clean, modular code with unit tests and proper monitoring
Experience building and deploying scalable applications and algorithms in the cloud, including working with streaming data
Experience with the tech stack Azure Cloud, Databricks, Kubernetes, Airflow, Snowflake and Kafka is a plus
Understanding of underlying business problems and ability to translate them into robust, data-driven solutions
Proactive identification of improvement opportunities, ownership and the drive to get things done

Conditions

Hybrid working: 40% at the office, 40% from home, and 20% flexibly
Option to work abroad within approved countries up to 3 weeks per year, maximum 2 consecutive weeks with manager approval
FlexBudget that can be paid out, used to buy extra holiday days or saved up
8% holiday allowance and, depending on the role, a bonus or collective profit sharing
Personal and professional growth support from the employer
Flexible working hours and a prioritized healthy work-life balance