Data Analyst | Credit Risk | Milan in Torino, Italia

Data Analyst | Credit Risk | Milan

€40 - 75k + bonus (depending on experience)

Hybrid Working in Central Milan

We’re hiring a Senior Data Analyst for a global organisation operating at the intersection of data, analytics, and AI-driven decision-making. This is a highly influential role, sitting at the forefront of data science strategy and shaping how advanced analytics and AI are applied across complex, real-world problems.

You’ll work closely with senior stakeholders and global engineering and product teams to deliver high-impact, data-driven solutions, including an AI-powered platform focused on risk and resilience.

As Senior Data Analyst, you will:

• Define and execute a data science strategy aligned to product and business objectives
• Lead the design, development, and deployment of models and algorithms into production
• Analyse large, complex datasets to identify patterns and trends, translating insights into actionable product recommendations
• Stay close to industry trends and emerging technologies, particularly in AI and GenAI

What we’re looking for

• Strong, proven experience across Data Analytics, Data Science, with exposure to Data Engineering and/or Machine Learning
• Ability to operate autonomously within a global, distributed organisation
• Solid experience selecting and applying appropriate methodologies, technologies, and techniques
• Hands-on experience with data querying, manipulation, and analysis, including tools such as Pandas and NumPy

Nice to have

• Experience working with Generative AI tools and approaches
• Software engineering or programming experience, ideally in Python
• Advanced academic background in Computer Science, Data Science, or equivalent industry experience

€40 - 75k + bonus (depending on experience)

Hybrid Working in Central Milan

If you’re a senior data scientist who enjoys combining strategic influence with hands-on technical depth, please apply or email Visualizzare la mail su https://jobeax.com/link/gCvijuMTOqk9i7vp