Applied AI Data Scientist - Manufacturing

LHH; Kraków; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

LHH is seeking a senior Applied AI Data Scientist for manufacturing to work on the shop floor and with business teams, identifying opportunities where Data & AI can make a real impact and delivering practical solutions that drive measurable value.

You will translate business challenges into technical outcomes, collaborate with the Data Science & Engineering team and IT, and own initiatives from idea through implementation to adoption, ensuring business value and user adoption.

Qualifications

• Senior, hands-on data scientist with business understanding.
• Experience translating business challenges into practical Data & AI solutions.
• Proven track record delivering solutions adopted by end users.

Responsibilities

• Spend time with manufacturing, planning, and operations to understand processes.
• Translate business challenges into Data & AI solutions.
• Build hands-on solutions using Python and SQL.
• Collaborate with data engineering and IT to industrialize solutions.
• Own end-to-end use cases from discovery to adoption.
• Balance speed, quality, and business value in new capabilities.

Skills

Python

SQL

Data Analytics

Stakeholder management

Tools

Azure

Databricks

Snowflake

LLMs

Job description

Applied AI Data Scientist - Manufacturing

Other organizations might call this role an Applied AI Lead, AI Product Owner, Senior Data & AI Consultant, Applied Data Scientist, or Analytics Consultant.

Titles vary - what matters is that this is a senior, hands-on role focused on understanding business problems, working closely with stakeholders, and delivering practical Data & AI solutions that create measurable business value. We are not looking for someone who simply builds models in isolation or manages projects - we are looking for someone who enjoys solving real business challenges using modern Data & AI technologies.

About the Role:

This is not a traditional Data Scientist role.

We are looking for someone who wants to spend time on the shop floor, in the office, and with the business, understanding how things really work and identifying opportunities where Data & AI can make a real impact.

You will work closely with manufacturing, planning, commercial, and operations teams to understand their challenges, identify high-value opportunities, and deliver practical solutions that become part of everyday business operations.

This role combines strong technical capabilities with excellent communication skills. Success comes from understanding business, asking the right questions, and pragmatically applying Data & AI technologies to solve meaningful problems.

You will work closely with the Data Science & Engineering team while taking ownership of your own initiatives from idea through implementation to business adoption.

Your success will not be measured by the number of models you build. It will be measured by better business decisions, improved processes, time saved, and solutions that people genuinely use.

What You'll Do

• 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.

What We're Looking For

• 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.

Nice to Have

• 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.

About the Client:

Our Client global industrial technology company serving the steel and foundry industries.

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.

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.

Working Model

Hybrid working model - around 50% office presence. Regular collaboration with manufacturing sites and business stakeholders is expected.

Occasional international travel - typically up to once per quarter for around 3/4 days.

Recruitment Process

• Stage 1 - Teams interview with the Hiring Manager.
• Stage 2 –Onsite case study.
• Stage 3 - Teams interview with the Senior Leadership.