Data Scientist

Candidates must be located in Germany and eligible to work

Our client is a pioneering AI company dedicated to transforming manufacturing processes through a “small data” approach to AI. In this role, you will be the first dedicated Data Scientist, responsible for building core AI capabilities that will directly impact manufacturing efficiency and sustainability at scale. You’ll work in a remote-first, collaborative environment, pioneering practical AI solutions that put an expert operator next to each industrial machine.

• Collaborating on strategic technical decisions
• Rapidly prototyping and iterating on AI solutions
• Developing and implementing Bayesian Optimisation algorithms that suggest batches of experiments
• Implementing knowledge transfer capabilities across machines
• Creating robust data quality systems

The role requires a strong understanding of optimisation under uncertainty and multi-objective optimisation, and you will occasionally engage directly with manufacturing customers to understand real-world constraints. Candidates should have strong expertise in Bayesian Optimisation and Gaussian Processes, hands-on experience with Few-Shot Learning, and a solid background in statistics and experimental design. The position requires advanced proficiency in Python and libraries like sklearn and GPflow, a Manufacturing background, along a startup mindset that prioritises practical, deployable solutions over theoretical approaches. The ideal candidate will be motivated by solving real-world problems with tangible industrial impact and be comfortable with ambiguity and rapid priority changes.

Remote role, competitive salary, Bonus, Share options.

Position Snapshot is a summary of the role. Full job description is available from the client