At a Glance
- Tasks: Transform complex data into impactful machine learning solutions and collaborate with diverse teams.
- Company: Join Gymshark, a forward-thinking brand that values innovation and teamwork.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in the world of data science while working on exciting projects.
- Qualifications: Experience in machine learning, Python, SQL, and strong communication skills required.
- Other info: Be part of an inclusive culture that values diversity and personal development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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: 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.
Data Scientist in Solihull employer: Gymshark Ltd
Contact Detail:
Gymshark Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Solihull
✨Tip Number 1
Network like a pro! Reach out to current or former Gymshark employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role as a Data Scientist. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning knowledge. Be ready to discuss your past projects in detail, especially how you’ve turned complex problems into business solutions. We want to see your passion and expertise shine through!
✨Tip Number 3
Showcase your communication skills! Practice explaining your data science projects to a non-technical audience. Being able to convey complex ideas simply is key, especially when working with stakeholders at Gymshark.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Gymshark team. Let’s get you that interview!
We think you need these skills to ace Data Scientist in Solihull
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Scientist role. Highlight your experience with machine learning projects and any relevant cloud platforms like GCP or AWS. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of your past work, especially those that had a real business impact. We love seeing how you've turned complex problems into solutions, so don’t hold back on the details!
Communicate Clearly: When writing your cover letter, keep it clear and structured. Remember, you’ll need to explain technical concepts to non-technical stakeholders, so show us you can do that right from the start!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Gymshark Ltd
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning frameworks and concepts. Be ready to discuss your experience with regression, classification, and clustering techniques, as well as any cloud platforms you've worked with. This will show that you're not just familiar with the theory but can also apply it practically.
✨Communicate Like a Pro
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex data science concepts in simple terms. Think about how you would describe your past projects to someone without a technical background. Clear communication is key!
✨Show Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled ambiguous requirements or solved complex problems. Highlight your critical-thinking skills and how you collaborated with others to find solutions. This will demonstrate your ability to navigate challenges effectively.
✨Understand Gymshark's Business
Do your homework on Gymshark and its data landscape. Familiarise yourself with their e-commerce model and think about how data science can drive value for them. Showing that you understand their business will set you apart and demonstrate your genuine interest in the role.