Lead Data Scientist
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Role details
Tech stack
Job description
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., * 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
Requirements
- 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., Please note this is a hybrid role and requires the successful candidate to attend at least 3 days a week in GSIQ, Solihull, UK.
Benefits & conditions
- 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
About the company
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.
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