Machine Learning Data Scientist in Solihull
Machine Learning Data Scientist

Machine Learning Data Scientist in Solihull

Solihull Part-Time 36000 - 60000 £ / year (est.) No home office possible
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Gymshark

At a Glance

  • Tasks: Shape the future of data science by building impactful machine learning solutions.
  • Company: Join Gymshark, a leading brand in fitness and technology.
  • Benefits: Enjoy 25 days holiday, performance bonuses, and flexible benefits.
  • Why this job: Make a real impact with cutting-edge ML projects in a dynamic team.
  • Qualifications: Experience in machine learning, Python, SQL, and cloud platforms required.
  • Other info: Hybrid role with excellent career growth and a supportive work environment.

The predicted salary is between 36000 - 60000 £ 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.

  • 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.
  • 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.
  • 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; 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.

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

We are 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. If you’d like to request a reasonable adjustment please email talent@gymshark.

Performance-based Bonus opportunity ~ 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. Note: The bonus program and benefits have certain eligibility requirements.

Machine Learning Data Scientist in Solihull employer: Gymshark

At Gymshark, we pride ourselves on being an innovative and supportive employer that values collaboration and personal growth. As a Machine Learning Data Scientist, you'll have the opportunity to work on impactful projects in a dynamic environment, with access to excellent benefits such as a performance-based bonus, generous holiday allowance, and a strong focus on employee wellbeing. Our Solihull HQ fosters a vibrant work culture, where you can thrive alongside passionate colleagues while enjoying unique perks like gym memberships and onsite amenities.
Gymshark

Contact Detail:

Gymshark Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning 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 in data science there. Personal connections can make a huge difference!

✨Tip Number 2

Show off your skills! Prepare a portfolio of your machine learning projects that demonstrate your ability to turn complex problems into business solutions. Make sure to highlight any experience with cloud platforms like GCP, AWS, or Azure.

✨Tip Number 3

Practice your communication skills! Be ready to explain your projects and findings to both technical and non-technical audiences. This is key at Gymshark, where collaboration with stakeholders is essential.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Gymshark team!

We think you need these skills to ace Machine Learning Data Scientist in Solihull

Machine Learning
Data Science
Python
SQL
Cloud-based Data Platforms (GCP, AWS, Microsoft Azure)
Data Modelling
Data Warehousing
Regression
Classification
Clustering
Communication Skills
Stakeholder Management
Collaboration
Problem-Solving Skills
Technical Documentation

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 that showcase your curiosity and how you've tackled complex problems. This will help us understand your mindset and approach.

Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing how your background aligns with our needs, so don’t hold back on those relevant details!

Communicate Clearly: Since you'll be working with both technical and non-technical stakeholders, it's crucial to demonstrate your communication skills. Use clear and structured language in your application to show us you can explain complex concepts simply.

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 this exciting opportunity at Gymshark. Don’t miss out!

How to prepare for a job interview at Gymshark

✨Know Your Machine Learning Stuff

Make sure you brush up on your machine learning frameworks, especially regression, classification, and clustering. Be ready to discuss your past projects in detail, focusing on how you turned complex problems into business solutions.

✨Communicate Like a Pro

Since you'll be working with both technical and non-technical stakeholders, practice explaining your data science concepts in simple terms. Use examples from your experience to show how you've effectively communicated insights in the past.

✨Understand Gymshark's Business

Do your homework on Gymshark! Familiarise yourself with their data landscape and how they use data to drive business decisions. This will help you tailor your answers to show how you can add value to their specific needs.

✨Collaborate and Build Relationships

Highlight your teamwork skills during the interview. Share examples of how you've successfully collaborated with different teams or stakeholders in previous roles. Show that you can build effective working relationships to support the delivery of machine learning solutions.

Machine Learning Data Scientist in Solihull
Gymshark
Location: Solihull
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