Top Data Science Jobs in Italy

Leads an international data science and AI team of up to eight members focused on commercial analytics and AI accelerators. Owns demand intake, prioritization, product strategy, model and data product delivery, and enterprise-scale ML/AI platform development. Partners with commercial, marketing, finance, and brand leaders to translate advanced analytics into business recommendations, revenue growth, and resource optimization. Requires executive communication, team-building, product management, and hands-on expertise in ML, LLMs, agentic workflows, cloud deployment, and pharma or healthcare analytics.

As a Fraud Data Analyst, you will design real-time fraud strategies, develop rules to combat fraud, optimize decision-making, and collaborate with teams to enhance user experience and report performance metrics.

The Fraud Data Analyst designs real-time fraud detection strategies, optimizes decision-making tools, analyzes payment fraud, and presents data-driven insights to leadership.

Lead GTM strategy and product positioning for key products, create messaging and content, run campaigns and launches, analyze market and competitive trends, and collaborate cross-functionally to drive adoption, pipeline growth, and customer engagement.

Remote role for ML/AI experts to assess AI-generated content, craft and answer advanced technical prompts, evaluate model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

Join ION's Graduate Development Program as a Junior Software/AI Engineer to work on innovative projects in a collaborative team environment, focusing on various technologies including AI and Cloud.

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

Fully funded three-year postdoctoral fellowship focused on developing and improving scientific services for research infrastructures. Fellows conduct technology-development projects aligned with EMBL research areas, receive training in infrastructure operations and management, and build professional networks through secondments and job shadowing. Projects may involve computational science, imaging, optical engineering, robotics, mechanics, biotechnology, or omics. Applicants must hold or have defended a Ph.D. by September 30, 2026, possess relevant STEM training and technology-development experience, and demonstrate strong research potential.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

Join Air Liquide's ALLEX Graduate Program as a Product Manager for Bulk & On-site, managing product vision, strategy, and analytics while collaborating across departments to drive profitability and sustainability.

Design and implement AI solutions using ML models and NLP, collaborate with teams, and support business process improvement through AI.

The role involves designing AI solutions, developing machine learning models, collaborating with clients, and participating in presales activities.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

Lead analytics for engineering operations: drive demand vs capacity analysis, cost and outsourcing optimization, implement earned value management, apply statistical data analytics to identify process drivers, and communicate insights to stakeholders to enable data-driven decisions.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

Support the design and implementation of AI solutions, collaborating with teams, and gaining hands-on experience in machine learning and NLP.