Lead Data Scientist

OVERVIEW:

This role exists to providetechnical leadership and assuranceacross data science ensuring machine learning solutions are designed built andoperatedto a high and consistent technical standard. The role focuses on enabling scalable reliable delivery of data science solutions aligned to business priorities defined elsewhere.

WHAT YOULL BE DOING:

• Acting as atechnical lead for data scienceguiding modelling approach and solution design across multiple initiatives.
• Working closely with business stakeholders to translate priority use cases into technically soundproductionreadydata science solutions.
• Providing handsontechnical leadership across the data science lifecycle from problem framing and modelling through deployment and ongoingoptimisation.
• Defining and embedding technical standards and best practicesfor experimentation validation documentation and reproducibility.
• Reviewing and challenging technical designs and implementations providing clear technical direction andsignoff.
• Supporting and mentoring data scientists on complex technical challenges.
• Partnering with Data Architecture ML & Data Engineering and BI teams to ensure solutions are scalable robust and productionready.
• Evaluating new techniques and tools guiding their pragmatic adoption.
• Communicating technical assumptions risks and tradeoffsclearly to technical andnontechnicalstakeholders.

Accountable for:

• Thetechnical quality and consistencyof data science solutions delivered within assigned domains.
• Ensuring solutions meet agreed performance scalability reliability and maintainability standards.
• Consistent application of data science standards reducing delivery risk and technical debt.
• Providing ongoingtechnical assurancethat solutionsremainfit for production as usage and complexity increase.
• Maintaining strong technical partnerships with stakeholders as a trusted advisor.
• Raising the overalltechnical maturityof data science within theorganisation

WHAT YOULL NEED:

Essential Criteria:

• Extensive experience deliveringproductiongrade commercially impactful data science solutions gainedinadatascience or machine learning roles.
• Proven experience operating as a senior technical lead reviewer or technical signoffauthority.
• Strong experience building ML solutions on cloud platforms (GCP AWS or Azure).
• Advanced expertise inPython and SQL.
• Deep applied knowledge of machine learning techniques including regression classification clustering and timeseriesforecasting.
• Experience supporting production deployment and lifecycle management of ML models.
• Strong understanding of data warehousing data modelling and modern data architecture.
• Excellent communication skills able to explain technical decisions clearly to nontechnicalstakeholders.

PreferredSkills:

• Experience with recommender systems orpersonalisationuse cases.
• Familiarity with MLOps concepts and production ML practices.
• Demonstrated ability to raise technical standards through influence rather than authority.
• Experience in an ecommerceor retail environment.

CLOSING DATE: 21st August

LOCATION:

Please note this is a hybrid role and requires the successful candidate to attend at least 3 days a week in GSIQ Solihull UK.

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

Office location specific benefits include (LDN):

• Funded multi-site fitness membership

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.