trong>Partner with clients and stakeholders to understand business objectives, identify high‑value AI and analytics use cases, and define clear success measures.
Design, prototype, validate, and deliver end‑to‑end data science and AI solutions, from discovery through to production.
Develop and evaluate statistical models, machine learning systems, and Generative AI solutions, including LLM‑based and RAG‑enabled approaches.
Support the operationalisation of models and AI solutions, including deployment, monitoring, governance, and lifecycle management.
Translate complex analytical outputs into clear, actionable insights for both technical and non‑technical stakeholders.
Contribute to responsible and ethical AI adoption, identifying and mitigating risks related to privacy, security, and safety.
Mentor junior data scientists and contribute to reusable accelerators, best practices, and Insight capability development.
Skills We Can’t Do Without
- Client stakeholder engagement
- Applied data science expertise
- Machine learning and AI delivery
- Generative AI / LLM experience
- Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‑learn)