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.