Data Scientist
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Job Location:
Monthly Salary:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
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 datadriven solutions that support strategic and operational decisions related to consumption forecasting and marketoriented 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 highvolume 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 crossfunctional 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
Qualifications :
- BSc or MSc in Data Science Mathematics Statistics Economics or Physics with a strong academic track record
- 3-5 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 largescale 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 problemsolving 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 :
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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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 represented in 15 countries: Austria ... View more
