Data Science intern

We are looking for a motivatedData Science Internto join ourInnovation & Offering team based in Milan. The internship offers hands-on experience across a variety of data-driven projects supporting pharmaceutical clients with a strong focus on innovation dataqualityand analytics applied to real-world medical and market data.

Key Projects & Responsibilities

As a Data Science Intern you will be actively involved in multiple projects including:

Medical Devices & Innovative Methodologies

• Participate in projects related to medical devices contributing to the creation of new classification methodologies and structured databases.

• Leverage modern data acquisition techniques such asweb scraping combined withAIand MLapproaches to enrich andvalidatedatasets.

Model Classification & Data Structuring

• Support projects focused on model classification

• Collaborate with senior data scientists to define classification rules data hierarchies and validation processes

The candidate will alsoparticipateinmorestandard IQVIAproject aimed atleveragingIQVIA property data assets to develop new innovative services for our Pharma clients. Withthis regards activities willbe:data analysis and exploratory studiesquality checks and consistency validation sample expansion and normalization techniquescollaboratewith andsupportthe Innovationteamtoprototyping newservices

Qualifications:

• MSc degree inStatistics/Mathematical Engineering/Data Science/Economics with solid analytical background

• Strongproficiencyin Python with foundational knowledge of AI/ML concepts and cloud computing

• Interest in gaining knowledge on Pharma market trends

• Detail-orientedand committed to precision and quality

• Excellent communication and interpersonal skills

• Ability to work independently and as part of a team

• Proficiencyin Microsoft Office Suite (Word Excel PowerPoint)

• Ability to manage multiple tasks and meet deadlines

• Fluency inItalian and English

Location: Milan

Internship duration: six months (start dateJune 2026) Hybrid (3 days in the office)