Lead Data Scientist

Gymshark; Metropolitan Borough of Solihull; On-site; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Bonus opportunity

Healthcare

25 days leave

Pension scheme

Flexible benefits

Employee discount

Wellbeing support

Family leave

Life assurance

Gym membership

Job summary

Gymshark is seeking a technical leader for data science to drive production-grade ML solutions that scale with business needs. You’ll guide modelling, work with stakeholders, and ensure robust deployment and ongoing optimisation.

You will champion standards for experimentation, documentation and reproducibility, challenge designs, and mentor data scientists. A strong partner with Data Architecture, ML, Data Engineering and BI teams is essential to deliver production-ready solutions in a

Qualifications

• Extensive experience delivering production-grade, commercially impactful data science solutions.
• 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 (regression, classification, clustering, time series forecasting).
• Experience with production deployment and lifecycle management of ML models.
• Strong understanding of data warehousing, data modelling, and modern data architecture.
• Excellent communication skills to explain technical decisions to non-technical stakeholders.

Responsibilities

• Act as a technical lead for data science across multiple initiatives.
• Translate priority use cases into production-ready data science solutions.
• Provide hands-on technical leadership across the DS lifecycle from framing to deployment.
• Define and embed technical standards for experimentation, validation, documentation, and reproducibility.
• Review and challenge technical designs and implementations, providing direction and sign-off.
• Mentor data scientists on complex technical challenges.
• Partner with Data Architecture, ML & Data Engineering, and BI teams to ensure scalable, production-ready solutions.
• Evaluate new techniques and tools and guide their adoption.
• Communicate technical assumptions, risks, and trade-offs to stakeholders.

Skills

Technical leadership

Production-grade DS

Cloud platforms

Python

SQL

ML techniques

Deployment lifecycle

Data warehousing

Stakeholder communication

Tools

GCP

AWS

Azure

MLOps

Job description

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‑ontechnical leadership across the data science lifecycle, from problem framing and modelling through deployment and ongoingoptimisation.
• 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‑offsclearly to technical andnon‑technicalstakeholders.

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 YOU'LL NEED: Essential Criteria:

• Extensive experience delivering production-grade, commercially impactful data science solutions, gained in a data science or machine learning roles.
• Proven experience operating as a senior technical lead, reviewer, or technical sign-offauthority.
• 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 seriesforecasting.
• 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‑technicalstakeholders.

PreferredSkills:

• 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 e‑commerceor 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. We’re 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.

We’re 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 you’d like to request a reasonable adjustment please email [e-mail].

ABOUT US.

We’re here to unite the conditioning community. We believe that putting the sweat in today, prepares us for tomorrow. So, we give people the tools they need to reach further, go faster, be stronger. We celebrate those who show up – for themselves – to be their physical or mental best, whatever that means for them. It’s what we want for our community, and our team. A team that’s growing rapidly around the world. A collective of talented individuals working together to invent Gymshark’s future. Our plans are ambitious, and we’re looking for people who want to join us for the ride – our growth will be your growth.

THE PERKS.

Standard benefits include:

• Performance-based Bonus opportunity
• Funded Healthcare benefit
• 25 days holiday, additional day for your birthday & Bank Holidays
• Contributory Employer pension scheme
• Flexible benefits programme – including salary sacrifice EV scheme, dental insurance, cycle to work, tech scheme, holiday trading
• Gymshark Employee Discount & long service awards
• Access to High Street cashback and discounts
• Financial, Physical and Mental Wellbeing Support
• Enhanced Family Leave package
• Life Assurance

Office location specific benefits include (IQ):

• Gym Membership to The Lifting Club (LC)
• Onsite lunch provision & coffee bars
• EV charge points available

Office location specific benefits include (LDN):

• Funded multi-site fitness membership

Note: The bonus program and benefits have certain eligibility requirements. Gymshark reserves the right to amend these programs in whole or in part at any time without advance notice.