Ariston Group is a global leader in sustainable thermal comfort that offers a unique, extensive range of solutions for climate comfort, water heating and air handling, as well as components and burners. Listed on Euronext Milan since November 2021, in 2024 the group reported over 2.6-billion-euro revenues, with over 10,000 employees, direct presence in 40 countries in 5 continents, 28 production sites and 28 research and development centers. The group demonstrates its commitment to sustainability through the development of renewable and high efficiency solutions, such as heat pumps, water heating heat pumps, hybrids, domestic ventilation, air handling and solar thermal systems. The group also stands out for its continuous investment in technological innovation, digitalization, and advanced connectivity solutions. The group operates under global strategic brands Ariston, Elco and Wolf, and brands such as Calorex, NTI, HTP, Atag, Brink, Chromagen, Racold, as well as Thermowatt and Ecoflam in the components and burners business.
Join our Connectivity Solutions Team and help shape the next generation of Smart Home and Internet of Things (IoT) services, powered by emerging technologies such as Artificial Intelligence.
You will be part of the Data Science team within Connectivity R&D, working with data generated by IoT devices including boilers, heat pumps, water heaters, thermostats, and more, supporting the entire product lifecycle—from product design and testing to daily customer usage, enabling energy and comfort optimization as well as predictive maintenance.
What you’ll do
- Design, develop, deploy, and maintain AI/GenAI algorithms to improve customer comfort by learning from user habits, Detect and predict product failures (predictive maintenance), reduce energy consumption and customer energy costs and support internal departments in product design, testing, and after-sales quality monitoring
- Collaborate with Product Marketing and Product R&D to design new features
- Monitor and manage algorithms running in production
- Perform data analytics and KPI extraction for internal stakeholders
- Contribute to data engineering activities
- Support project management activities
- Explore new AI and Data Science technologies
What we’re looking for
- Master’s degree in Computer Science, Data Science / Artificial Intelligence, Electronic or Automation Engineering, Mathematics, Physics, or a related field
- Strong interest in technology and engineering
- Good knowledge of Python
- Familiarity with Data Science Python libraries (e.g. scikit-learn, PyTorch, pandas) is appreciated
- Knowledge of C/C++ and embedded firmware development is a plus
- Strong communication and interpersonal skills
- Fluency in English
Location: Osimo (AN) | 3 days/week of smart working
We are committed to the principle of equal employment opportunity for all people, by offering a work environment accessible, welcoming and inclusive in compliance with legal obligations.
