Senior Data Science Technical Lead — Production ML

Gymshark; Metropolitan Borough of Solihull; Hybrid; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Bonus opportunity

Healthcare

25 days leave

Pension scheme

Flexible benefits

Employee discount

Wellbeing support

Family leave

Life assurance

Gym membership

Job summary

Gymshark is seeking a technical leader for data science to drive production-grade ML solutions that scale with business needs. You’ll guide modelling, work with stakeholders, and ensure robust deployment and ongoing optimisation.

You will champion standards for experimentation, documentation and reproducibility, challenge designs, and mentor data scientists. A strong partner with Data Architecture, ML, Data Engineering and BI teams is essential to deliver production-ready solutions in a

Qualifications

• Extensive experience delivering production-grade, commercially impactful data science solutions.
• Proven experience operating as a senior technical lead, reviewer, or technical sign-off authority.
• Strong experience building ML solutions on cloud platforms (GCP, AWS, or Azure).
• Advanced expertise in Python and SQL.
• Deep applied knowledge of machine learning techniques (regression, classification, clustering, time series forecasting).
• Experience with production deployment and lifecycle management of ML models.
• Strong understanding of data warehousing, data modelling, and modern data architecture.
• Excellent communication skills to explain technical decisions to non-technical stakeholders.

Responsibilities

• Act as a technical lead for data science across multiple initiatives.
• Translate priority use cases into production-ready data science solutions.
• Provide hands-on technical leadership across the DS lifecycle from framing to deployment.
• Define and embed technical standards for experimentation, validation, documentation, and reproducibility.
• Review and challenge technical designs and implementations, providing direction and sign-off.
• Mentor data scientists on complex technical challenges.
• Partner with Data Architecture, ML & Data Engineering, and BI teams to ensure scalable, production-ready solutions.
• Evaluate new techniques and tools and guide their adoption.
• Communicate technical assumptions, risks, and trade-offs to stakeholders.

Skills

Technical leadership

Production-grade DS

Cloud platforms

Python

SQL

ML techniques

Deployment lifecycle

Data warehousing

Stakeholder communication

Tools

GCP

AWS

Azure

MLOps

Job description

Gymshark is seeking a technical leader for data science to drive production-grade ML solutions that scale with business needs. You’ll guide modelling, work with stakeholders, and ensure robust deployment and ongoing optimisation.

You will champion standards for experimentation, documentation and reproducibility, challenge designs, and mentor data scientists. A strong partner with Data Architecture, ML, Data Engineering and BI teams is essential to deliver production-ready solutions in a