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Role Overview
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.
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What You'll Need
Essential Criteria:
- Extensive experience delivering production-grade, commercially impactful data science solutions, gained in a data science or machine learning role.
- 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.
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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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