Lead Data Scientist

OVERVIEW:

This role exists to provide technical leadership and assurance across data science ensuring machine learning solutions are designed built andoperatedto 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 YOULL BE DOING:

• Acting as atechnical 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 soundproductionreadydata science solutions.
• Providing handsontechnical 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 andsignoff.
• 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 tradeoffsclearly to technical andnontechnicalstakeholders.

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 solutionsremainfit 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 YOULL NEED:

Essential Criteria:

• Extensive experience deliveringproductiongrade commercially impactful data science solutions gainedinadatascience or machine learning roles.
• Proven experience operating as a senior technical lead reviewer or technical signoffauthority.
• 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 timeseriesforecasting.
• 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 nontechnical stakeholders.

Preferred Skills:

• Experience with recommender systems orpersonalisationuse cases.
• Familiarity with MLOps concepts and production ML practices.
• Demonstrated ability to raise technical standards through influence rather than authority.
• Experience in an ecommerceor retail environment.

CLOSING DATE: 21st August

LOCATION:

Please note this is a hybrid role and requires the successful candidate to attend at least 3 days a week in GSIQ Solihull UK.

BELONGING AT GYMSHARK.

Our mission is to be a place where everyone belongs. Were an equal opportunities employer and for us that means we always strive to be as inclusive as possible in all aspects of employment right from your application. Were committed to finding reasonable adjustments
* for candidates with specific needs or have a disability during our recruitment process and all applicants will be considered fairly and equally. We do not tolerate discrimination of any kind.
* If youd like to request a reasonable adjustment please email .

ABOUT US.

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