> Markdown version of [/jobs/ext/2318817-data-scientist](https://www.wearedevelopers.com/jobs/ext/2318817-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Octave - **Location:** Brussel, Belgium - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Big Data, Python (Programming Language), Machine Learning - **Published:** August 23, 2026 - **Apply:** https://www.jobinhoreca.com/job/viewjob/3091986/data-scientist.html ## About the Role Are you an experienced data scientist? Do you know how to create reliable predictions and optimal decisions based on complex and large datasets? Do you want to put your talent to use and contribute to the energy transition by building innovative energy management solutions?, * Mathematical optimisation is essential for this role: linear and quadratic programming, mixed-integer formulations, and ideally stochastic programming. You should be comfortable moving from a business objective to a formulation, and from a formulation to something that solves reliably within an operational time budget. * A strong foundation in machine learning, time series forecasting and statistical modelling. * Practical experience with real-time control algorithms on edge devices - PID, rule-based supervisory control, MPC, or comparable approaches you have deployed and maintained in the field. * A problem solver by instinct: you're comfortable being handed an ambiguous situation, working out what's actually going on, and deciding what to do about it. * The ability to explain a complex model or control decision to a non-technical audience - colleagues in sales and operations, and clients who want to understand why their battery did what it did. * Commercial judgement: you can tell the difference between the solution that is optimal on paper and the one that goes live this quarter and starts paying for itself. * Fluency in Python. A clear plus * Working knowledge of energy systems: electricity markets, load forecasting, asset dispatch, balancing mechanisms. * Experience with AI Coding. * Experience with AWS. * A track record with messy field data - gaps, drift, sensors that contradict one another. * Experience shipping models and controllers into production systems that run unattended, with monitoring in place. Notebooks are where the work starts, not where it ends. ## Description * Probabilistic forecasting of electricity consumption and on-site generation at client premises - not only point forecasts, but the uncertainty estimates the control layer needs to make defensible decisions. * Turning forecasts into control actions: converting forecasts and price signals into dispatch decisions across our clients' assets - batteries, PV and EV charging - with a single objective, minimizing their energy bill. In practice this means formulating and solving a constrained optimisation problem over each site's tariff structure, capacity limits and asset behavior, and doing it well enough that the result holds up when the forecast turns out to be wrong. * Real-time execution, including control logic running on edge devices, that stays stable when conditions deviate from plan. * Closing the loop between prediction, decision and execution, so the system runs unattended and improves on its own operating history. In practice: tracking forecast error against realized load and generation to drive retraining; comparing the savings actually achieved against what the optimiser expected, and attributing the gap to the forecast, the formulation or the asset; and correcting our models of the assets themselves - round-trip efficiency, degradation, state-of-charge drift - against what the fleet really does. * R&D delivery: work alongside our Research Manager and top tier Research institutes on the data science workstreams of our ongoing research projects., * Hardware in the loop. Your algorithms don't stop at an API boundary. They move megawatts through equipment installed at real sites. * A short feedback loop. Models go live, are measured against real financial outcomes, and get improved. You'll know within days whether an idea worked. * Room to set the direction. The team is small enough that your decisions about modelling, tooling and control architecture become the way Octave.energy does it. * A mission with urgency. A renewable grid runs on flexibility: shifting demand towards the hours when the wind blows and the sun shines. Batteries, PV and EV charging are the three levers we pull, and better forecasting and control get more out of each of them. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [CUDA in Python](https://www.wearedevelopers.com/videos/1294-cuda-in-python) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [6 Emerging Technologies We’ll Learn About in 2025](https://www.wearedevelopers.com/magazine/381-6-emerging-technologies-we-ll-learn-about-in-2025) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [The 13 Best Python Libraries for Developers in 2025](https://www.wearedevelopers.com/magazine/371-the-13-best-python-libraries-for-developers-in-2025)