Marlin Selection Recruitment
Power Analyst
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Our client, a leading commodity trading firm, is looking for a Power Analyst – Data Scientist to join their team in London. This is an exciting opportunity to develop and enhance machine learning forecasting models that support trading decisions across European power markets. Working closely with traders, analysts and data teams, you will help improve forecasting accuracy and contribute directly to trading performance.
Your responsibilities will include:
- Developing, enhancing and productionising machine learning time-series forecasting models, with an initial focus on wind and solar generation.
- Building, automating and maintaining forecasting pipelines to ensure accurate, reliable and timely model outputs for traders.
- Collaborating with data engineering teams to onboard new data feeds, monitor data quality and continuously improve model performance.
- Analysing power market fundamentals and incorporating new features into forecasting models as renewable generation evolves.
- Maintaining dashboards and reports while providing technical modelling support to analysts and key stakeholders.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
You will need to have the following:
- A PhD or equivalent advanced qualification in Machine Learning, Data Science, Statistics, Mathematics or another quantitative discipline.
- Experience building and deploying production-grade machine learning models, with a solid understanding of MLOps, Git and CI/CD practices.
- Strong Python programming skills, including experience with Pandas, Scikit-learn and either PyTorch or Keras/TensorFlow.
- Proven experience developing time-series forecasting models, ideally within energy, commodities, financial markets or another data-intensive environment.
- Knowledge of SQL is essential, with experience of Databricks and exposure to energy or commodity trading considered advantageous.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
If you're interested in this opportunity, we'd love to hear from you. Please apply today or get in touch with Paula at Marlin Selection.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location