Operations Research Engineer
Pubblicato il 02-10-2026 - Duferco in Milano
We are expanding Duferco’s Corporate Innovation Team: a fast-moving team operating in a startup-like environment, backed by the stability and scale of a globally diversified group.
We are looking for an Operations Research Engineer: someone who works close to business teams, understands messy operational and planning problems, develops optimization models and algorithms to solve them efficiently, and turns solutions into practical tools used by a diverse range of stakeholders.
You will work across domains such as energy, trading, logistics, steel, insurance, sports, and other sectors — not as an external consultant, but as part of the group itself, with the ownership and continuity of an internal product and engineering team.
You will identify opportunities, prototype optimization-based tools, evaluate impact, and help deploy solutions that remove bottlenecks, improve decision-making, and create leverage across the business.
About the Team
We sit close to real business problems and have the freedom to prototype and ship quickly, with AI being already part of our daily workflow.
We care about building solutions that work in the real world: useful tools, reliable and smart decisions, better workflows, and systems that create measurable impact.
We appreciate people who enjoy ownership, fast iteration, pragmatic problem solving, and working directly with users to understand how things actually get done.
What You’ll Do
- Design, build, test, and deploy optimization-based solutions for a variety of business applications
- Collaborate closely with business and technical teams to understand needs, formalize optimization problems, prototype solutions, measure impact, and iterate — not just execute predefined specs
- Develop linear, nonlinear, and mixed-integer programming models, along with heuristic and stochastic optimization methods, to enhance operational efficiency and decision-making
- Ensure the robustness, scalability, and interpretability of optimization sol