Data Scientist Solihull, England, United Kingdom
Data Scientist Solihull, England, United Kingdom

Data Scientist Solihull, England, United Kingdom

Solihull Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Transform complex data into impactful machine learning solutions and collaborate with diverse teams.
  • Company: Join Gymshark, a leading brand in fitness and innovation.
  • 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 cloud platforms required.
  • Other info: Be part of an inclusive team that values diversity and creativity.

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 Solihull, England, United Kingdom employer: Gymshark Ltd

At Gymshark, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Data Scientist in Solihull, you'll not only have the opportunity to work on impactful machine learning projects but also benefit from a collaborative environment that encourages continuous learning and professional growth. With a commitment to innovation and a focus on employee well-being, Gymshark is an excellent employer for those looking to make a meaningful contribution in the tech and data space.
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Contact Detail:

Gymshark Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist Solihull, England, United Kingdom

✨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 there. 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 technical work in simple terms. Remember, you’ll be working with both technical and non-technical stakeholders, so being able to bridge that gap is key.

✨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 joining the Gymshark team. Let’s get you that interview!

We think you need these skills to ace Data Scientist Solihull, England, United Kingdom

Machine Learning
Data Science
Python
SQL
Cloud-based Data Platforms (GCP, AWS, Microsoft Azure)
Shallow ML Frameworks (regression, classification, clustering)
Time Series Forecasting (prophet, ARIMA, SARIMA)
Dimensionality Reduction
MLOps Concepts
Data Warehousing
Data Modelling
Data Architecture
Communication Skills
Problem-Solving Skills
Critical Thinking

Some tips for your application 🫡

Show Your Curiosity: We want to see your passion for data science! In your application, highlight any projects or experiences where you’ve tackled complex problems. Let us know how your curiosity drives you to find innovative solutions.

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Scientist role. Use keywords from the job description and showcase relevant skills and experiences that align with what we’re looking for at Gymshark.

Communicate Clearly: Since you'll be explaining technical concepts to non-technical stakeholders, it’s crucial to demonstrate your communication skills in your application. Use clear and concise language to describe your past work and achievements.

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, it shows you’re keen on joining our team!

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 like GCP or AWS. This will show that you’re not just familiar with the theory but have practical experience too.

✨Communicate Clearly

Since you'll be working with both technical and non-technical stakeholders, practice explaining complex data science concepts in simple terms. Prepare examples of how you've successfully communicated insights in the past, as this will demonstrate your ability to bridge the gap between data and business needs.

✨Show Your Problem-Solving Skills

Be ready to tackle some hypothetical scenarios during the interview. Think about how you would approach ambiguous requirements and what steps you would take to clarify them. This will highlight your critical-thinking abilities and collaborative approach to problem-solving.

✨Understand Gymshark's Business

Do your homework on Gymshark and its data landscape. Familiarise yourself with their products, target audience, and any recent developments in the e-commerce space. Showing that you understand their business will help you connect your skills to their needs and demonstrate your genuine interest in the role.

Data Scientist Solihull, England, United Kingdom
Gymshark Ltd
Location: Solihull

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