Lead Data Scientist

Gymshark
United Kingdom
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Technical leadership","Mentoring","Stakeholder management","Raising technical standards"]

Provide technical leadership and assurance for production-grade machine learning solutions, guiding modelling approach and solution design across multiple initiatives. Partner with business stakeholders to translate use cases into scalable, reliable data science products from problem framing through deployment and ongoing optimization. Define and embed standards for experimentation, validation, documentation, and reproducibility, review designs for technical direction and sign-off, and mentor data scientists while working closely with data architecture, ML/data engineering, and BI teams.

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FursaFursa
Gymshark
Gymshark
20 hours ago

Lead Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Provide technical leadership and assurance for production-grade machine learning solutions, guiding modelling approach and solution design across multiple initiatives. Partner with business stakeholders to translate use cases into scalable, reliable data science products from problem framing through deployment and ongoing optimization. Define and embed standards for experimentation, validation, documentation, and reproducibility, review designs for technical direction and sign-off, and mentor data scientists while working closely with data architecture, ML/data engineering, and BI teams.
Location: United Kingdom
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Act as a technical lead for data science, guiding modelling approach and solution design across multiple initiatives.
  • •Translate business priority use cases into technically sound, production-ready data science solutions.
  • •Provide hands-on technical leadership across the data science lifecycle, from problem framing and modelling through deployment and optimization.
  • •Define and embed technical standards and best practices for experimentation, validation, documentation, and reproducibility.
  • •Review and challenge technical designs and implementations, providing clear direction and sign-off while mentoring data scientists and partnering with data architecture, ML & data engineering, and BI teams.

Pay and Benefits

Perks:Health InsurancePaid LeavePensionDentalGym MembershipLife AssuranceCycle ToRemote Work

Key Requirements

  • •Extensive experience delivering production-grade, commercially impactful data science solutions in data 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, with applied knowledge of machine learning (regression, classification, clustering, and time-series forecasting).
  • •Experience supporting production deployment and lifecycle management of ML models, including data warehousing and data modelling.
Experience:Machine learningMLOpsE-commerceRetail
Skills:CommunicationTechnical leadershipMentoringStakeholder managementRaising technical standards
Languages:English
Tech Stack:PythonSQLGCPAWSAzureMachine learningTime-series forecastingData warehousingData modelingMLOpsRecommender systems

Company Brief

Gymshark
Designs and sells performance-driven fitness apparel, accessories, and lifestyle products direct-to-consumer worldwide, built around a strong social media and community-driven brand presence.
Industry: Fashion & Apparel
Company Size: Large (251 to 1,000 employees)
Revenue: USD 250M to 500M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Private Equity Backed
Headquarters: Solihull, United Kingdom
Founded: 2012
WebsiteLinkedIn