Flow Technologies: A global leader in, providing a broad portfolio of pumps, valves, mixing and agitation equipment, heat transfer, homogenizers, separation, water and wastewater treatment, and engineered process solutions. Our leading brands include the iconic Goulds Pumps (with more than 175 years of history), Anhydro, APV, Bornemann, Bran+Luebbe, C’treat, Engineered Valves, Gerstenberg Schröder, Habonim, Johnson Pump, Lightnin, Philadelphia, Plenty, PRO Cast, Rheinhütte, Seital Separation, Stelzer, Svanehøj, Tigerholm, Uutechnic, VIDAR, Waukesha Cherry-Burrell.

Motion Technologies: A global leader in brake pads (ICE and electrified brake pads) and shock absorbers (energy absorption solutions) for transportation applications. Our leading brands include Friction Technologies, KONI and Axtone.

Connect and Control Technologies: A leader in critical applications for the aerospace, defense and industrial markets, including harsh environment connectors and control components. Our leading brands include ITT Cannon, Enidine, Aerospace Controls and kSARIA.

• Collaborate with the Basic Research team of the R&D Department on projects related to data collection, analysis and cleaning, with IT support.
• Support the team through statistical analysis and data interpretation.
• Create interactive dashboards and reports to visualize analysis results and support data-driven decision-making.
• Apply machine learning techniques to support the development of internal projects within the R&D Department.
• Participate in projects for the development of new tools and methods for data collection and analysis.

• A bachelor's degree in Data Science, Data Engineering, Economics and Statistics, Mathematics, or Computer Science is required. Other STEM degrees relevant to the position will also be considered.
• Experience in data analysis and data management is required.
• Strong interpersonal skills and the ability to collaborate effectively across R&D teams.
• Strong organizational and time management skills.
• Strong problem-solving skills, team spirit, and the ability to work independently.
• Knowledge of programming and machine learning, with Python knowledge preferred.
• Experience with PowerBi (or similar) and MS Office, with advanced Excel skills preferred.
• Proficiency in spoken and written English.
• Solid IT and organizational skills complete the profile.

• reimbursement
• free company canteen
• free company bus service Turin/Barge