Data Scientist

We are looking for a curious, commercially minded Data Scientist to help shape the future of data science at Gymshark. If you love turning complex problems into real business impact, enjoy collaborating with stakeholders, and want to work with a team building value‑driving machine learning solutions at scale — this one’s for you!

At Gymshark, you’ll work end‑to‑end on ML projects, collaborate across our tech and data teams, and help shape the future of how we use data to power the business.

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

Hybrid working: Please note: This is a Hybrid role and will require working in our Solihull HQ 3 days a week.

Belonging at Gymshark: We are an equal opportunities employer and strive to be inclusive in all aspects of employment, right from your application. We are committed to reasonable adjustments for candidates with specific needs or a disability during our recruitment process, and all applicants will be considered fairly and equally. We do not tolerate discrimination of any kind.