IT & Software

Product Data Science Manager

Similar Web

London · Greater London · United Kingdom

Overview

As Product Data Science Manager in Data Labs, you lead a client-facing analytics team delivering end-to-end, custom data insights. You mentor data analysts and stay hands-on, guiding complex analyses that drive client impact. You partner with Engineering and Advisory Services to scale reusable data solutions and infrastructure. You shape standards, foster continuous learning, and ensure high-quality, actionable outcomes for top customers.

Pay / Benefits
  • competitive compensation packages
  • team outings and happy hours
  • ongoing learning solutions
  • career growth opportunities
  • inclusive workplace culture
Responsibilities
  • Lead and develop a customer-facing team of data analysts/scientists with a culture of ownership and excellence
  • Oversee end-to-end delivery of complex, custom data products from scoping to execution and ongoing delivery
  • Maintain high analytical and technical standards (SQL, PySpark, Python, data validation) across the team
  • Serve as escalation point for complex analytical challenges and provide hands-on guidance
  • Collaborate with Engineering to define scalable infrastructure and productized solutions
  • Coordinate with Advisory Services and other stakeholders to deliver high-impact client solutions
  • Drive process improvements, knowledge sharing, and documentation to scale impact and efficiency
  • Balance client needs, team capacity, and delivery timelines while upholding quality
Key requirements
  • Proven experience managing and mentoring data analysts or analytics teams
  • Strong hands-on experience with SQL and PySpark for data analysis — Must
  • Strong Python scripting experience — Must
  • Excellent English communication and ability to translate analyses into business insights
  • Experience working with clients and managing stakeholder expectations — Strong Advantage
  • AWS infrastructure experience — Big Advantage
  • Background in online marketing, digital services, or tech analytics — Advantage
  • Proven ability to lead complex projects from strategy to execution
  • Proactive, ownership-driven mindset with solid decision-making skills
  • Bachelor’s degree in Statistics, Computer Science, Engineering, or related field — Must
  • Master’s degree — Big Advantage
  • Strong communication
  • Stakeholder management
  • Ownership mindset
  • SQL
  • PySpark
  • Python

Reference: WJ-747_31159473

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