Senior Data Scientist

TL;DR

If you opened this job ad hoping to spend your days on machine learning models, forecasts, and dashboards: sorry, this is probably not the one for you.

We look for data scientists because they have the right "scientist" mindset: make a hypothesis, test it on real data, measure, and change course when the evidence says so. We work with innovation in mind and always look for the smartest, most efficient, and most innovative way to solve a problem.

We are expanding Duferco’s Innovation Team: a fast-moving, startup-like team backed by the scale and stability of a global group.

Our ambition is to bring manufacturing to the frontier of innovation, rethinking how businesses work and building the next generation of software for the group’s core operations.

Across finance, orders, production, planning, and logistics, we are building a platform where AI agents handle repetitive work, freeing people to focus on decisions that need human judgment.

You will work closely with business teams to understand their processes, design better solutions, and turn them into products that make a real difference.

About the Team

We sit close to real business problems and have the freedom to prototype and ship quickly. AI is already part of our daily workflow, and its role keeps growing.

We build things that work in the real world and create measurable impact.

We appreciate people who enjoy ownership, fast iteration, pragmatic problem solving, and working directly with users.

What You’ll Do

Design, build, and own the products of our next-generation core platform:

• Business applications and workflows for orders, production, logistics, and finance
• AI agents that do real operational work within written policies, with human approval where it matters
• Data models that capture how the business really works and the rules the data must respect
• Prototypes that test new process designs with real users before we scale them
• Integrations with ERP, internal and third-party systems, databases, APIs, and documents
• Evaluation and monitoring of products and AI agents in production
• Adoption: you stay with users until the product fits their needs, and you measure its impact

What We Offer

• A stimulating, collaborative environment, open to new ideas, with talented and ambitious people
• Concrete impact on real business problems, and direct influence on how the group’s core processes and platform are designed
• High autonomy and a broad variety of technical and business challenges
• State-of-the-art AI coding agents and a rigorous agentic review process, so your time goes to understanding problems and designing products
• Competitive compensation, reflecting the technical depth and impact you can bring to the team, plus bonus. For roles based in Italy, the salary range is €45,000–€60,000.
• Flexible working hours and hybrid work setup

You’re Probably a Fit If

• You learn fast and love solving problems.
• You enjoy working close to users, in the office and on the shop floor, and turning messy problems into useful solutions.
• You can follow a business process end to end, such as order-to-cash or production planning, and turn it into clear workflows, data models, and products people want to use.
• You think like a product owner: you ask why, you measure impact, and you care about adoption as much as delivery.
• You can explore a dataset, find patterns or opportunities, prototype a solution, and explain trade-offs clearly.
• You are comfortable with LLMs, modern AI APIs, and structured and unstructured data. You know what AI can do, where it fails, and how to evaluate whether a solution is useful.
• You are confident with at least one programming language, also with the help of AI coding tools, and you understand how backend, frontend, and database fit together well enough to judge whether what AI agents build is correct.
• You speak fluent Italian.
• You are available for regular business trips (typically 1–2 days) mainly in Brescia.

Software engineering ability is a plus, as is experience with ERP or MES platforms, legacy modernization, or complex operational domains.

You do not need to know every technology we use: curiosity, product sense, and a deep understanding of processes matter much more.

If this sounds like the right fit for you, we’d love to hear from you.