[Hiring] Senior AI Data Scientist @team.blue Global

Role Description

We are looking for a Senior AI Data Scientist to streamline HR processes at team.blue — not by analysing them, but by building agentic systems to run them. Recruitment, onboarding, performance, rewards and offboarding are each multi-step processes spanning several systems and up to 25 countries, and your mandate would be to create systems that can streamline them end to end.

• Map a process, quantify what it costs in headcount, score which steps an agent could take, build a proof of concept, and take it to production.
• Design agents that can revoke IT access, issue signed contracts, and flag pay outliers into approval workflows.
• Write, containerise, instrument, and own the systems you build.

Your day would involve:

• Mapping how a leaver gets offboarded across 19 countries and turning that into a process inventory with FTE cost attached per step.
• Facilitating sessions with Talent, Rewards, and HR Ops leads to score automation candidates on impact, feasibility, and LLM/tool fit.
• Designing state transitions: triggers, branches, system calls, waiting periods, escalations, and handling failures.
• Building guardrails before capability: dry-run mode, approval gates, least-privilege scoped credentials, rollback paths.
• Deciding where a human stays in the loop and designing a review queue.
• Writing evaluations for output that precision and recall do not capture.
• Wiring an agent to a webhook and ensuring idempotency.
• Deciding which steps in a flow warrant a frontier model and proving routing decisions with numbers.
• Evaluating vendor demos for API exposure, data models, and integration costs.

Qualifications

• 7+ years building data and ML systems in industry.
• Experience shipping systems with permission to take irreversible actions affecting real customers.
• Expert in Python and ML.
• Production experience with multi-step, tool-calling LLM workflows.
• Cost and latency engineering as a first-class concern.
• Safety instinct for systems that take actions.
• Evaluation design for generative and agentic output.
• Applied statistics adjudication skills.
• Process mapping and quantification abilities.
• Facilitation skills for workshops with senior non-technical stakeholders.
• Executive-grade written business cases.
• Technical vendor evaluation skills.

Requirements

• HR domain knowledge is learnable; fluency in HR-tech systems expected.
• Understanding of HR-data governance judgment.
• Familiarity with multi-country employment-law constraints.
• Knowledge of EU AI Act obligations for high-risk systems.
• Experience in org design and change management.

Nice to have

• Master's or PhD in Computer Science, AI, Machine Learning or a related field.
• Existing EU AI Act / high-risk-AI-system familiarity.
• PromptOps at scale experience.
• DataOps/MLOps practice.
• Prior exposure to HRIS/HR-tech or automation in regulated domains.

This probably is not for you if

• Your agent experience is limited to no-code tools.
• Your contribution ends at a notebook.
• You have never had to justify a token bill.
• You would rather build models than systems.
• You cannot explain the impact of your work on tangible outcomes.
• You need a stable spec before starting.

Right to Work

At any stage, please be prepared to provide proof of eligibility to work in the country you're applying for. Unfortunately, we are unable to support relocation packages or sponsorship visas.

Diversity & Inclusion

Everyone is welcome here. Diversity & Inclusion are at our core. We value respect, openness, and trusted collaboration. We do not tolerate intolerance.

ESG

At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals.