Data Science Jobs in Italy
There are 136 open Data Science jobs in Italy on freehire right now. 42 of them were posted recently. The skills employers ask for most often are ai, machine-learning and python.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| EUR | year | €37,500 | €44,052 | €51,500 | 11 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 66%
- machine-learning 65%
- python 63%
- data-science 49%
- analytics 39%
- sql 34%
- generative-ai 30%
- cloud 28%
How the work is done
- Hybrid 22 · 16%
- Remote 3 · 2%
Visa sponsorship offered in 40% of the 5 postings that state a position on it.
Seniority
- Senior 15
- Lead 9
- Intern 2
- Junior 2
Who is hiring
- 1000+ employees 20
- 501-1000 employees 10
- 51-200 employees 3
- 11-50 employees 1
- 201-500 employees 1
Data Scientist AI/ML Engineer – Hybrid (Milano)
Build and deploy ML/AI models (NLP, Computer Vision, LLM) in Python/Java/C for an insurtech client, owning end-to-end projects and presenting results to stakeholders.
AI Software Engineer — ML, Data Science & Quantum
Develop AI-driven software and quantum-inspired models, collaborating in a cross-functional team to build innovative applications.
AWS Data Architect: Bridge Data Science & Engineering
Design and build AWS-based data pipelines and models for enterprise clients, collaborating with architects and engineers to implement scalable Big Data solutions.
Senior Data Scientist - Speech, ASR & ML Pipelines
Design, train, and optimize speech recognition (ASR) and text-to-speech (TTS) models for production, and build ML models across diverse data types.
Data Scientist — AI-Driven Analytics & Scalable Pipelines
Design and optimize AI-driven data pipelines and analytics tools to power strategic decisions in a fast-moving product company.
Hybrid ML Engineer & Data Scientist: Time Series & AI
Develop AI-based software for systems health monitoring using Python, MATLAB, and C++. Work in a hybrid role within a multi-disciplinary team.
Machine Learning Engineer and Data scientist
Develop AI and machine-learning models for system health monitoring and diagnostics in space/automotive, using Python, MATLAB, and C++.
Lead Engineer, Mathematics & Data Science, Engineering Operations and Transformation (M/F/D)
Lead a data-driven transformation for engineering teams, analyzing demand vs capacity, costs, and outsourcing leverage to drive operational excellence and cost reduction.
Lead Engineer, Mathematics & Data Science, Engineering Operations and Transformation (M/F/D)
Lead a data-driven transformation for engineering teams, analyzing demand vs capacity, costs, and outsourcing to drive operational excellence using statistical methods and analytics.
Lead Engineer, Mathematics & Data Science, Engineering Operations and Transformation (M/F/D)
Lead a data-driven transformation for engineering teams, analyzing demand vs capacity, costs, and outsourcing to drive operational excellence and decision-making.
Senior GenAI Data Scientist — Cloud ML Pipelines
Senior Data Scientist builds and deploys GenAI and ML pipelines in Python/SQL, using TensorFlow/PyTorch to deliver business-facing AI solutions.
Machine Learning Engineer / Data scientist
Build and deploy ML models for anomaly detection, forecasting, and classification in aerospace systems using Python/MATLAB and PyTorch/Keras.
Data Scientist & ML Engineer – Hybrid Milano
Build and optimize ML models and data-driven solutions using Python and forecasting techniques, collaborating with technical and business stakeholders.
Data Scientist/ML Engineer (Rif. 2026-55)
Build and deploy ML models, GenAI use cases, and predictive analytics for a major bank using Python, SQL, and MLOps tools.
Data Scientist/AI Engineer
Designs modular AI components and orchestrates agentic workflows on Azure AKS, moving GenAI prototypes into scalable enterprise production.
Gen AI & Data Science Engineer — Hybrid Milan
Designs and builds ML/NLP models and GenAI solutions to automate workflows and improve business processes for enterprise clients.
Data Scientist / AI Engineer
Build and deploy ML/AI models in Python (scikit-learn, PyTorch/TensorFlow) for enterprise use cases, from data prep to production, working with SQL databases and collaborating with cross-functional teams.