Senior Data Scientist

Track latest AI/ML developments (LLMs, architectures, emerging techniques) and assess relevance to business use cases

Evaluate feasibility of AI solutions and recommend optimal technical approach

Build rapid POCs (2–3 days) to validate ideas before investment

Benchmark vendor and open-source solutions with clear comparison and recommendations

Design and develop ML/DL models end-to-end (algorithm selection, feature engineering, optimisation)

Deliver prototypes within short timelines (2–4 weeks) with strong validation standards

Ensure model performance, robustness, and bias checks

Use generative AI tools (e.g. Copilot, ChatGPT, Claude, Cursor) to accelerate prototyping and development

Collaborate with product, business, and eng...