Data Scientist

Gymshark

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profile Job Location:

Solihull - UK

profile Monthly Salary: Not Disclosed
Posted on: 15 hours ago
Vacancies: 1 Vacancy

Job Summary

Were 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 valuedriving machine learning solutions at scale this ones for you!
At Gymshark youll work endtoend 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 YOULL 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 nontechnical 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 thirdparty 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 highquality 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 Gymsharks data landscape and business domains relevant to assigned projects.
  • Creating and maintaining strong relationships with business stakeholders.

WHAT YOULL 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 cloudbased data platform such as GCP AWS or Microsoft Azure.
  • Extensive experiencewithPython and SQL (2 - 4 years).
  • Provenexpertiseofshallow ML frameworks -regression classificationclustering; time series forecasting (prophet ARIMA SARIMA);dimensionality reduction approaches.
  • Exposure toMLOpsconcepts.
  • 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 nontechnical stakeholders.
  • Demonstrated problemsolving and criticalthinking skills with the ability to work through ambiguous requirements collaboratively.
  • Ability to manage multiple priorities and deliver to agreed timelines.
  • Experience working in an ecommerce 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.

BELONGING AT GYMSHARK.

Our mission is to be a place where everyone belongs. Were an equal opportunities employer and for us that means we always strive to be as inclusive as possible in all aspects of employment right from your application. Were 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. We do not tolerate discrimination of any kind. *If youd like to request a reasonable adjustment please email .

ABOUT US.

Were here to unite the conditioning community. We believe that putting the sweat in today prepares us for tomorrow. So we give people the tools they need to reach further go faster be stronger. We celebrate those who show up for themselves to be their physical or mental best whatever that means for them. Its what we want for our community and our team. A team thats growing rapidly around the world. A collective of talented individuals working together to invent Gymsharks future. Our plans are ambitious and were looking for people who want to join us for the ride our growth will be your growth.

THE PERKS.

Standard benefits include:

  • Performance-based Bonus opportunity
  • Funded Healthcare benefit
  • 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
  • EV charge points available

Note: The bonus program and benefits have certain eligibility requirements. Gymshark reserves the right to amend these programs in whole or in part at any time without advance notice.


Required Experience:

IC

Were 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 valuedriving machine learning solutions at sc...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

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