Design and build core AI and data systems that support decision-making across the platform
Work with complex, imperfect, and evolving data from multiple internal and external sources
Develop models and signals that balance accuracy, uncertainty, and explainability
Help define how intelligence is represented, updated, and acted upon inside the product
Decide when to use ML, statistical methods, rules, or hybrids, and why
Partner closely with product and engineering so AI is embedded in workflows, not bolted on
Establish standards for evaluation, monitoring, and iteration in production
Use modern AI tooling, including LLMs where appropriate, with a bias toward leverage over novelty
Collaborate with regulatory and compliance teams to ensure outputs are defensible and robust
Move fast without being reckless, understanding the cost of false confidence

Strong grounding in statistics, probability, and applied machine learning
Proven experience shipping AI or ML systems into production
Experience working with non-ideal data where ground truth is partial, delayed, or noisy
Comfort making trade-offs between precision, recall, confidence, and coverage
Ability to reason about uncertainty and error, not just point predictions
Clear communicator who can explain complex ideas to non-technical stakeholders
Strong experience with Python and modern ML tooling
Practical experience working with LLMs or advanced AI systems in real applications
Bias toward building decision-support systems, not opaque black boxes
High intellectual honesty and strong technical judgment

Excellent Salary: Competitive and reflective of the responsibilities of a founding role
Equity Options: Meaningful ownership in a long-term company
Hybrid Work: At least 3 days in our London or Dublin office
Extended Remote Work on Request: Outcomes matter more than optics
Builders, Not Tourists: Work with people who care deeply about getting things right

Founding AI Data Scientist

Key skills