Data Scientist
WHAT YOU'LL BE DOING:
- Working closely with business stakeholders to translate high-level business requirements into easy to implement technical requirements to support and deliver into the building of value-adding machine learning solutions.
- Building, developing, and maintaining data science models and solutions.
- Communicating machine learning results, insights, and assumptions to both technical and non‑technical audiences in a clear and structured way.
- Supporting the deployment of machine learning models into production and contributing to the monitoring and maintenance of live data science solutions.
- Contributing to the improvement of existing machine learning products and tools by applying best practices and learning from new techniques and approaches.
- Supporting the adoption of new machine learning solutions within the business by contributing to documentation, knowledge sharing, and experimentation.
- Collaborating with third‑party partners and internal teams to support the delivery and improvement of data science solutions.
- Building effective working relationships with business stakeholders to understand their data needs, challenges, and priorities.
Accountable for:
- Contributing to the delivery and adoption of commercially focused, high‑quality machine learning solutions with stakeholders and the wider data science team.
- Working closely with Data Architect, ML & Data Engineers, and BI & Insights teams to ensure data science solutions are robust, scalable, and aligned with agreed standards and best practices.
- Ensuring data science solutions meet agreed quality, performance, and maintainability requirements.
- Developing a growing understanding of Gymshark's data landscape and business domains relevant to assigned projects.
- Creating and maintaining strong relationships with business stakeholders.
WHAT YOU'LL NEED:
Essential Criteria:
- Proven experience delivering commercially focused Machine Learning projects from build through to deployment and maintenance.
- Practical experience building Machine Learning solutions on a cloud‑based data platform such as GCP, AWS or Microsoft Azure.
- Extensive experience with Python and SQL (2 - 4+ years).
- Proven expertise of shallow ML frameworks - regression, classification, clustering; time series forecasting (prophet, ARIMA, SARIMA); dimensionality reduction approaches.
- Exposure to MLOps concepts.
- Knowledge of data warehousing, data modelling, and broader data architecture concepts.
- Strong communication and interpersonal skills, with the ability to explain data science outputs and concepts clearly to both technical and non‑technical stakeholders.
- Demonstrated problem‑solving and critical‑thinking skills, with the ability to work through ambiguous requirements collaboratively.
- Ability to manage multiple priorities and deliver to agreed timelines.
- Experience working in an e‑commerce or retail environment would be beneficial.
CLOSING DATE: 18th February 2026
Please note that this is a Hybrid role and will require working in our Solihull HQ 3 days a week.
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
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.
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