Contribute to the growth of MET Energia Italia by developing data-driven solutions, predictive models, and actionable insights for strategic decisions in the energy sector.
As we continue to evolve our client portfolio and expand, MET Energia Italia is now looking for a talented Data Scientist, who will be contributing to the growth of the company in the Italian market.
In this role, you will be responsible for managing, analysing, and interpreting large datasets from external providers and markets, with a primary focus on the power and gas commercial portfolio. You will develop predictive models and data‑driven solutions that support strategic and operational decisions related to consumption forecasting and market‑oriented optimization strategies.
Step by step you will take on several activities that are part of the main duties within the Portfolio team, bringing your invaluable contribution to our daily operations:
In this role, you will have the opportunity to make a big impact to the overall results of the company. You will be part of a dynamic, innovative growth company which embraces new ideas and encourages everyone to contribute to our strategy.
We have an open, informal culture and we trust our people to get the job done - so we will also give you plenty of autonomy.
You will be working in an international environment which creates opportunities to share knowledge and work together with colleagues from other MET subsidiaries, mainly from the Swiss office.
MET Group is an integrated European energy company that operates across natural gas, power, and renewable energy markets. Serving customers in 21 countries, it focuses on multi-commodity wholesale trading and energy infrastructure, making a strong impact in the transition to greener energy solutions. With extensive experience and a significant presence in various national markets, MET is well-positioned to support the evolving energy landscape.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Scientist Q&A's