Lead Data Scientist
HybridSolihull, England, United Kingdom
Solihull, England, United KingdomHybridFull TimeSenior LevelDoctorate Or Professional DegreeRetail E-commerceMedium
Full TimeSenior LevelDoctorate Or Professional DegreeMediumRetail E-commerce
Job Summary
Lead technical direction for data science solutions by guiding modelling approaches, defining standards for experimentation and reproducibility, and providing hands-on leadership from problem framing through deployment. Translate business use cases into production-ready systems while reviewing designs, mentoring team members, and partnering with architecture and engineering teams to ensure scalability. Communicate technical risks and trade-offs to stakeholders and maintain oversight of solution quality, performance, and reliability across assigned domains.
Required Qualifications
- 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
- Must be able to attend at least 3 days a week in GSIQ, Solihull, UK
Desired Qualifications
- 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
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