Internship: MSAT Digital & Data Science, Italy, 2026

Description

The MSAT (Manufacturing Science and Technology) team at the company's Rosia site applies data-driven methods to manufacturing science and technology.

This is a 6-month internship, extendable by another 6 months, with an expected start in December or January 2026. It is an extra-curricular internship (stage extra-curriculare).

The internship is open to recent graduates in engineering, statistics or related fields.

The applications deadline is 6 November 2026. The company will close the role once it has received enough applications, so applying early is recommended.

The company is a global biopharma firm focused on respiratory, immunology and inflammation, oncology, HIV and infectious diseases.

Questo è un tirocinio temporaneo orientato allo sviluppo professionale.

Responsibilities

• Under the guidance of your tutor and the team, support data analysis and processing in Python and R.
• Assist with statistical modelling and data analysis.
• Apply data-driven approaches to manufacturing science and technology work.
• Help explore and apply advanced data analysis techniques, including multivariate analysis and artificial intelligence methods.
• Assist in building and using tools for analysing and visualising data.
• Take part in team activities and projects alongside your tutor and colleagues.
• Support work with multidisciplinary teams, which may include colleagues at the Siena R&D site.

Requirements

• Recent graduate in engineering, statistics or a related field.
• Strong knowledge of Python and R, and the ability to use them.
• Good understanding of statistical modelling and data analysis.
• Good problem-solving skills, a proactive and curious approach, flexibility, and willingness to work in multidisciplinary teams.
• Fluent English and Italian, both written and spoken.

Conditions

Start date expected in December or January 2026.

Duration of 6 months, extendable by 6 more months.

Extra-curricular internship, on-site only (100% in person).

Any expense reimbursement or scholarship will follow local laws, regulations and site policies, with details given during recruitment.

Application tips and process guidance are on the company website. Questions about applying can be sent to the early talent recruitment team by email.

Requests for adjustments to the selection process should go to the inclusion recruitment address. Other enquiries cannot be handled through that channel.

Agencies must obtain written authorisation before referring candidates; unauthorised referrals will not be paid.

Benefits

• Hands-on experience in a pharmaceutical setting, with the chance to learn from practitioners.
• Opportunity to build skills in Python, R and data science that are useful in any future career path.