Work with us

We are looking for talented people, passionate for renwable industry and committed to grow with us


Who We are

please refer to our website (

Who we are looking for

A young graduate, preferably with 2-3 years of experience, or not graduate with 4yrs+ of experience, with a passion for Machine Learning, Data Science and Data architecture. Creativity in approaching complex forecasting problems and transforming into practical solutions. Result oriented attitude, love for Research & Development work but with a strong bias to turn it into break-thorough solutions, strong attitude of problem solving and self learning.

Why work with us

  • To have the opportunity to be part of a fast growing company with established and important clients and with the potential to scale-up fast at global level in less than two years.
  • To became part of and learn from an highly experience and professional team with global and consolidated experience in the energy sector, AI, Machine Learning and High Performing Big Data structure
  • To contribute actively and proactively to our R&D projects focused on improving our Saas AI/ML platform and predictive algorithms
  • To grow with the company and participate to the value we will create together

Main Responsibilities

  • Support development and testing of ML based forecasting algorithms
  • Support daily operational delivery activities on Clients wind farm portfolio
  • Support data analysis, pre-processing, processing and develop new or improve existing automatic procedures for the Saas Platform

Main Skill requirements

  • Degree in mathematics, physics or computer engineering, or at least 4yrs+ work experience without degree
  • Relevant Hands-on knowledge of the design, development, experimentation, and testing of analytic tools, AI libraries and scripting languages (Python is a requirement)
  • Git and development/collaboration tools knowledge
  • Capable to handle big data analysis
  • Knowledge of SQL
  • Basic knowledge of serverless systems
  • Experience in data analysis
  • Knowledge of main Machine Learning algorithms and model like Neural Networks, Classification and Regression Trees and Random Forest.
  • Capable to translate theoretical forecasting models into code, using mainly Python and at least another script language
  • Relevant Knowledge on how to run simulation and forecasting algorithms, how to test my algorithms with back-tests and stress
  • Knowledge of frameworks for web development

What we offer

  • Full time & long term employment contract
  • Company value creation sharing (through bonus scheme)
  • PC, mobile phone
  • Ticket restaurant for working days or equivalent benefit
  • Smart working/office mix scheme
  • Expenses reimbursement for work transfer out of office city, if resident outside Rome
  • Expenses reimbursement to transfer to office city (Rome), if in smart working mode and living outside the city for the first year of contract

Renewcast Office

Legal Address

Viale delle Milizie 140

00192 Roma, Italia


Commercial Address (C/o Centro Uffici)

Via Zoe Fontana 220, Ed. B/2

00131 Roma





Start a Conversation

Fabio Nicolò

Mobile: +39 340 3331807



Ugo Mattoni

Mobile: +39 329 3908642




Copyright © 2023 RENEWCAST. All Rights Reserved.