Lead Data Scientist

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

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‑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: 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 talent@gymshark.com. 

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.