Role overview
Company Description
MET Group is an integrated European energy company, headquartered in Switzerland, with activities in natural gas and power, focused on multi-commodity wholesale, trading and sales, as well as energy infrastructure and industrial assets.
MET Group is present in 30 national gas markets and 39 international trading hubs. The Group has a significant end-consumer presence in Croatia, Italy, Hungary, Romania, Slovakia, and Spain.
MET Group has 1000+ permanent staff. The company is owned 90% by MET employees and 10% by Keppel Infrastructure, a wholly owned subsidiary of Keppel Corporation *.
MET Energia Italia is the Italian subsidiary or MET Group, with activities in natural gas, power and renewables, focused on multi-commodity trading and sales, as well as renewables and Energy Efficiency Solutions. After its start up in 2017, MET Energia Italia has now reached a position among the top 20 energy players in the country.
MET Energia Italia ’s mission is to become a leading market player by implementing innovation in the Italian energy market. We are a boutique of energy professionals who, thanks to our expertise and hard work, have been able to establish a competitive and highly optimized business in a few years. We are determined to take our success story even further, so we strive to attract highly talented people that are ready to give their best every day and that are eager to continuously develop their skills by taking on big challenges.
Job Description
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.
What you'll work on
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:
- Collect, clean, validate, and integrate large datasets from multiple internal and external sources (markets, forecasting services, metering data, commercial systems)
- Analyze, manipulate, and process high‑volume datasets using statistical and programming tools
- Develop and maintain statistical models, machine learning algorithms, and predictive analytics to forecast energy demand, prices, imbalance risks, and portfolio behavior
- Design and implement dashboards, data visualizations, and KPI monitoring tools to provide actionable insights to internal stakeholders
- Perform scenario analysis and simulations to support strategic decisions, risk assessment, and commercial optimization
- Deliver clear, structured presentations of analytical results and recommendations to management and cross‑functional teams
- Supporting the launch of new ideas and projects to grow the business
- Be active and ready to take on new challenges in other areas of MET should this become your desire
- BSc or MSc in Data Science, Mathematics, Statistics, Economics, or Physics, with a strong academic track record
- 1-2 years of relevant experience, preferably within the energy industry (electricity, gas, and renewables)
- Proficiency in Python, R, and SQL
- Solid experience in time-series forecasting, statistical modeling, and the use of machine learning libraries
- Hands-on experience with Databricks and Apache Spark for large‑scale data processing, and familiarity with cloud environments (Azure, AWS, or GCP)
- Strong data visualization skills and experience creating clear, insightful dashboards using modern BI tools (e.g., Power BI, Tableau).
- Ability to communicate complex insights clearly, both visually and verbally
- Sharp analytical mindset and strong problem‑solving orientation
- Proven ability to work collaboratively in multidisciplinary environments
- Proactive, results-driven, and able to thrive in a fast-paced environment
- Well organized, autonomous with time management and planning skills
- Fluent in Italian with a strong command of English
- Proficient in MS Office, with advanced Excel skills for analysis and reporting
Additional Information
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.