Published on Aug 08, 2026 · We confirmed on Aug 11, 2026 that it's still live
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.
focuses on enabling scalable, reliable delivery of data science solutions aligned to business priorities defined elsewhere.
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 WHAT YOU'LL NEED: 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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