Lead Data Scientist

This role exists to provide technical leadership and assurance across data science, ensuring machine learning solutions are designed, built, and operated to a high and consistent technical standard. The role focuses on enabling scalable, reliable delivery of data science solutions aligned to business priorities defined elsewhere.

WHAT YOU'LL BE DOING

Acting as a technical lead for data science , guiding modelling approach and solution design across multiple initiatives.

Working closely with business stakeholders to translate priority use cases into technically sound, production ‑ ready data science solutions .

Providing hands ‑ on technical leadership across the data science lifecycle, from problem framing and modelling through deployment and ongoing optimisation.

Defining and embedding technical standards and best practices for experimentation, validation, documentation, and reproducibility.

Reviewing and challenging technical designs and implementations, providing clear technical direction and sign ‑ off .

Supporting and mentoring data scientists on complex technical challenges.

Partnering with Data Architecture, ML & Data Engineering, and BI teams to ensure solutions are scalable, robust, and production ‑ ready.

Evaluating new techniques and tools, guiding their pragmatic adoption.

Communicating technical assumptions, risks, and trade ‑ offs clearly to technical and non ‑ technical stakeholders.

Accountable for

The technical quality and consistency of data science solutions delivered within assigned domains.

Ensuring solutions meet agreed performance, scalability, reliability, and maintainability standards.

Consistent application of data science standards, reducing delivery risk and technical debt.

Providing ongoing technical assurance that solutions remain fit for production as usage and complexity increase.

Maintaining strong technical partnerships with stakeholders as a trusted advisor.

Raising the overall technical maturity of data science within the organisation

Essential Criteria

Extensive experience delivering production ‑ grade , commercially impactful data science solutions , gained in a d ata science or machine learning roles .

Proven experience operating as a senior technical lead, reviewer, or technical sign ‑ off authority.

Strong experience building ML solutions on cloud platforms (GCP, AWS, or Azure).

Advanced expertise in Python and SQL .

Deep applied knowledge of machine learning techniques, including regression, classification, clustering, and time ‑ series forecasting.

Experience supporting production deployment and lifecycle management of ML models.

Strong understanding of data warehousing, data modelling, and modern data architecture.

Excellent communication skills, able to explain technical decisions clearly to non ‑ technical stakeholders.

Preferred Skills

Experience with recommender systems or personalisation use cases.

Familiarity with MLOps concepts and production ML practices.

Demonstrated ability to raise technical standards through influence rather than authority.

Experience in an e ‑ commerce or retail environment.

CLOSING DATE: 14th August

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