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# Product Data Science Manager

- **Company:** SimilarWeb LTD
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Validation, Data Systems, Python (Programming Language), SQL Databases, Scripting, Pyspark
- **Published:** October 1, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/product-data-science-manager/49543394

## About the Role

stakeholders to deliver seamless, high-impact client solutions. Drive process improvements, knowledge sharing, and documentation to scale the team's impact and efficiency. Balance client needs, team capacity, and delivery timelines while maintaining a high bar for quality. This is the perfect job for someone who has: 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 communication skills in English, with the ability to translate complex analysis into clear business insights. Experience working directly with clients and managing stakeholder expectations - Strong Advantage. Background in online marketing, digital services, or tech analytics - Advantage. Demonstrated ability to independently lead complex projects from strategy to execution. A proactive, ownership-driven mindset with strong decision-making skills., Bachelor's degree in

## Description

client impact. This is a hands-on leadership role that combines people management, technical depth, and cross-functional collaboration. You'll set standards, scale best practices, and help shape the future of Similarweb's custom data solutions. What does the day-to-day of a Product Data Science Manager (Data Labs) at Similarweb look like? Lead, mentor, and develop a team of customer-facing data analysts, fostering a culture of ownership, excellence, and continuous learning. Oversee end-to-end delivery of complex, custom data products - from client scoping and solution design to execution and ongoing delivery. Ensure high analytical and technical standards across the team, including SQL, PySpark, Python, and data validation best practices. Act as an escalation point for complex analytical challenges, providing hands-on guidance where needed. Partner closely with Engineering to define scalable infrastructure and productized solutions. Collaborate with Advisory Services and other