AI Data Scientist

Job Description

In the role of AI Data Scientist, you will join the AI COE team that’s doubling down on customer obsession. 

In this AI Data Scientist role, you will:    

• Build pipelines & gates, integrate evals into CI/CD; define release criteria; add canaries, shadow tests, and rollback triggers.
• Engineer runtime guardrails: collaborate to implement LLM judges, schema/constraint checks, deterministic tool wrappers, safe function calling, and policy enforcement.
• Scale assurance: optimise from heavyweight LLM judges to efficient SLMs or rule engines; introduce caching, early-exit checks, and progressive gating.
• Observability & drift: partner on telemetry, behavioural drift detection, anomaly alerts, and incident taxonomies.
• Hands-on delivery – contribute code, notebooks, and tests; use AI-powered tools to accelerate development.
• Partner closely with Product & Engineering: convert DS concepts into tangible platform features with clear acceptance criteria and measurable outcomes.

We’re looking for the best and brightest to deliver the best for our customers. You’ll need:    

• Proven experience in applied data science/ML with production exposure (LLM/agentic systems preferred).
• Hands-on building eval pipelines, automated tests, and runtime controls for AI systems.
• Experience working with cloud-native environments (e.g., AWS) and collaborating in cross-functional squads (product, engineering, risk).
• Practical knowledge of reinforcement learning, bandits, or feedback-driven optimisation.
• Familiarity with microservices, LLM/MCP gateways, and observability/telemetry for agent behaviour

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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