Applied AI Data Scientist - Manufacturing

Recruitment for, Our Client global industrial technology company serving the steel and foundry industries., Our culture is built around our CORE values: Courage - challenge existing ways of working and continuously improve. Ownership - take responsibility from problem discovery through successful business adoption. Respect - work closely with business stakeholders, listen first, and build solutions together. Energy - bring curiosity, pace, and persistence to solving complex business challenges.

Expected, Python, SQL

Optional, Azure DevOps, Databricks, Snowflake Data Cloud

About the project, In this role, your primary focus will be improving how the business operates. You will work closely with manufacturing, operations, planning, commercial, and technical teams to develop practical Data & AI solutions that improve quality, optimize costs, reduce waste, support better decision-making, and become part of the company's everyday operations.

This is how we work, in house, you have influence on the choice of tools and technologies, you have influence on the technological solutions applied, you have influence on the product, you focus on product development

Team members, data scientist

Your responsibilities, Spend time with manufacturing plants, operations, planning, and commercial teams to understand how work is performed and identify valuable improvement opportunities., Translate business challenges into practical Data & AI solutions., Build hands-on solutions using Python, SQL, and modern Data & AI technologies., Apply AI pragmatically to solve real operational and business problems., Collaborate with Data Engineering and IT teams to industrialize successful solutions., Balance speed, quality, and business value when delivering new capabilities., Own selected use cases end-to-end - from discovery through implementation to business adoption.

Business-oriented mindset with excellent communication and stakeholder management skills., Strong hands-on programming skills in Python and SQL., Strong technical background in Data, AI, Analytics, or Software Engineering., Genuine curiosity about how businesses operate and how technology can improve them., Ability to identify valuable business problems and translate them into practical technical solutions., Experience delivering solutions that are actually adopted by end users., Comfortable working with ambiguity and taking ownership from idea to implementation., Pragmatic approach to applying AI and modern data technologies.

Optional, Experience within manufacturing, industrial operations, or supply chain environments., Experience with Azure, Databricks, Snowflake, or similar cloud data platforms., Experience with LLMs, AI Agents, RAG, or Generative AI solutions., Background in Software Engineering or Application Development., Experience with optimization, simulation, or operations research.

What we offer, Hybrid working model - around 50% office presence., Occasional international travel - typically up to once per quarter for around 3/4 days.

This is how we work on a project, team-level deployment

Benefits, remote work opportunities

Recruitment stages, Teams interview with the Hiring Manager, On-site case study, Teams interview with the Senior Leadership