About The Role:

Digital transformation has become one of the key factors in Eni’s success. Our people in this area have the opportunity to work in excellent cross-functional teams, developing new and more effective technological tools to meet the challenging demands of energy production and the evolution of the increasingly data-driven business. These professionals interface with a constantly evolving environment, where they have the opportunity to actively support the performance of all business operations and develop strategic and highly competitive know-how.

Responsibilities:

  • Apply data science tools and techniques to contribute to Eni’s digital evolution process, designing, implementing and testing ML/AI solutions to generate insights and valuable results.
  • Develop algorithms for analysis, prediction, clustering, optimisation and simulation, using modern ML/AI frameworks in order to solve concrete business problems. Explore and analyse different data sets, testing their ideas and evaluating the results.
  • Analysing, understanding and mapping business requirements, process and project objectives within an integrated and dynamic environment, where the solution is built following the entire design and development process of Agile methodologies.
  • Exposing and sharing the results obtained with the various stakeholders, receiving and processing the feedback received in a constructive and proactive manner.
  • Mentor more junior figures, acting as a reference point and focal element for their professional growth.

Candidate Requirements:

  • Master’s degree in quantitative sciences i.e. Mathematics, Computer Science, Statistics, Machine learning, AI, or equivalent; PhD preferred.
  • At least 3 years of practical experience in the development, implementation, testing and maintenance of machine learning/AI models in production environments.
Job Overview
We use cookies to improve your experience on our website. By browsing this website, you agree to our use of cookies.

Sign in

Sign Up

Forgotten Password

Share