This role has closed. Jobgether has taken the posting down.
hirly last saw it live on 23 September 2026. See similar open roles below, or browse all Data Scientist jobs.
Jobgether
Mid Data Scientist
Italy
Similar open jobs
- Expert Data Scientist – BIP AI LABBIP · ItalyFirst seen 2d ago
- Data Scientist - Pharma & Life SciencesCapgemini Engineering · Roma, ITFirst seen today
- Tirocinio Data Scientist & AI Engineer – Padova/TriesteGruppo Hera · PADOVA, VENETO, Italy; TRIESTE, FRIULI VENEZIA GIULIA, ItalyFirst seen yesterday
- Data ScientistPrima · MilanFirst seen yesterday
- Data Scientist - Fraud DetectionPrima · MilanFirst seen yesterday
- Junior Data Scientist – BIP AI LABBIP · ItalyFirst seen 2d ago
- Global Sales Data ScientistAmplifon · Milano, Lombardia, ItalyFirst seen 2d ago
- Data ScientistNadara · Trezzano sul NaviglioFirst seen 2d ago
- Quantitative Data ScientistMdotm · MilanoFirst seen 27d ago
- Data Scientist Mdotm · MilanoFirst seen 27d ago
- Data ScientistSellagroup · Torino, ItalyFirst seen 27d ago
- Data ScientistBracco · ITA - Milano - Via Egidio FolliFirst seen 28d ago
- Data Scientist III,Thermofisher · Milan, ItalyFirst seen 2d ago
- Senior Data ScientistSky · Milan, Monte PeniceFirst seen 27d ago
- Data Scientist (AI)Securities and Exchange Commission · Washington, District of Columbia, United StatesFirst seen today
hirly's read of this role
- Role family
- Data & ML
- Seniority
- Mid level
- Country
- IT
- Work mode
- On-site / unstated
- First seen by hirly
- 21 Sept 2026
Derived automatically from the posting.
the posting
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Mid Data Scientist based in Italy.
This role offers the opportunity to turn complex data into actionable insights and measurable business value. You will develop analytical and machine learning solutions across a variety of projects and business contexts. Working alongside diverse Data teams, you will take models from exploration and experimentation through validation and production. The position combines statistical analysis, machine learning, data visualization, and emerging MLOps practices. You will collaborate with both technical and non-technical stakeholders, translating complex findings into clear recommendations. It is an environment where ownership, adaptability, and practical problem-solving are highly valued.