Lead Data Scientist

Solihull
Solihull, UK
1 day ago
Apply on www.apply4u.co.uk
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Data Architecture Information Engineering Data Warehousing Python (Programming Language) Machine Learning Recommender Systems Software Deployment SQL Databases Technical Debt
+1 more
Machine Learning Operations

Job description

direction and sign-off. 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 production-ready. Evaluating new techniques and tools, guiding their pragmatic adoption. Communicating technical assumptions, risks, and trade-offs clearly to technical and non-technical stakeholders. Accountable for: The technical quality and consistency of 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 ongoing technical assurance that solutions remain fit for production as usage and complexity increase. Maintaining strong technical partnerships with stakeholders as a trusted advisor. Raising the overall technical maturity of data science within the organisationWHAT

Requirements

YOU’LL NEED:Essential Criteria:Extensive experience delivering production-grade, commercially impactful data science solutions, gained in a data science or machine learning roles. 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, including regression, classification, clustering, and time-series forecasting. 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 non-technical stakeholders. Preferred Skills: Experience with recommender systems or personalisation use cases. Familiarity with MLOps concepts and production ML practices. Demonstrated ability to raise technical standards through influence rather than authority. Experience in an e-commerce or retail environment. CLOSING DATE: 21st AugustLOCATION: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. We’re 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. We’re 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 you’d like to request a reasonable adjustment please email #####. ABOUT US.We’re 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

Benefits & conditions

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. It’s what we want for our community, and our team. A team that’s growing rapidly around the world. A collective of talented individuals working together to invent Gymshark’s future. Our plans are ambitious, and we’re 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 opportunityFunded Healthcare benefit25 days holiday, additional day for your birthday & Bank HolidaysContributory Employer pension schemeFlexible benefits programme - including salary sacrifice EV scheme, dental insurance, cycle to work, tech scheme, holiday tradingGymshark Employee Discount & long service awardsAccess to High Street cashback and discountsFinancial, Physical and Mental Wellbeing SupportEnhanced Family Leave packageLife AssuranceOffice location specific benefits include (IQ):Gym Membership to The Lifting Club (LC)Onsite lunch provision & coffee barsEV charge points availableOffice location specific benefits include (LDN):Funded multi-site fitness membershipNote: 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.apply4u.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

3:06 min

The lack of responsibility over technical debt

Stefan Priebsch · World Congress 2021

1:06 min

Outline of free tools for Microsoft Azure

Radu Vunvulea Radu Vunvulea · World Congress 2022

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

Videos

See all

Related articles

See all