Job Description
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.
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:
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 toolsDevelop and maintain statistical models, machine learning algorithms, and predictive analytics to forecast energy demand, prices, imbalance risks, and portfolio behaviorDesign and implement dashboards, data visualizations, and KPI monitoring tools to provide actionable insights to internal stakeholdersPerform scenario analysis and simulations to support strategic decisions, risk assessment, and commercial optimizationDeliver clear, structured presentations of analytical results and recommendations to management and cross‑functional teamsSupporting the launch of new ideas and projects to grow the businessBe active and ready to take on new challenges in other areas of MET should this become your desireQualifications
BSc or MSc in Data Science, Mathematics, Statistics, Economics, or Physics, with a strong academic track record3-5 years of relevant experience, preferably within the energy industry (electricity, gas, and renewables)Proficiency in Python, R, and SQLSolid experience in time-series forecasting, statistical modeling, and the use of machine learning librariesHands-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 verballySharp analytical mindset and strong problem‑solving orientationProven ability to work collaboratively in multidisciplinary environmentsProactive, results-driven, and able to thrive in a fast-paced environmentWell organized, autonomous with time management and planning skillsFluent in Italian with a strong command of EnglishProficient in MS Office, with advanced Excel skills for analysis and reporting
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