Product Data Science Manager (SaaS)

TL;DR

Product Data Science Manager (SaaS): Leading a customer-facing team to deliver complex, custom data insights and products with an accent on analytical excellence and client impact. Focus on managing high-performing data scientists, optimizing PySpark/SQL pipelines, and partnering with Engineering to build scalable data solutions.

Location: Onsite in London

Company

A leading digital intelligence platform providing web analytics and market insights to over 5,700 customers globally, including industry giants like Google and Meta.

What you will do

• Lead, mentor, and develop a team of customer-facing data analysts, fostering a culture of ownership and excellence.
• Oversee end-to-end delivery of complex custom data products from client scoping and design to execution.
• Maintain high technical standards across the team for SQL, PySpark, Python, and data validation.
• Partner with Engineering to define scalable infrastructure and productized solutions.
• Collaborate with Advisory Services and other stakeholders to deliver high-impact client solutions.
• Drive process improvements, knowledge sharing, and documentation to scale team efficiency.

Requirements

• Proven experience managing and mentoring data analysts or analytics teams.
• Strong hands-on proficiency with SQL and PySpark.
• Strong Python scripting experience.
• Bachelor's degree in Statistics, Computer Science, Engineering, or a related field.
• English: C1 level required to translate complex analysis into clear business insights.
• Location: Must be based in London (Onsite).

Nice to have

• Experience working directly with clients and managing stakeholder expectations.
• AWS infrastructure experience.
• Background in online marketing, digital services, or tech analytics.
• Master's degree in a quantitative field.

Culture & Benefits

• Work with a powerful digital intelligence product used by world-leading companies.
• Open culture that empowers employees to bring big ideas to the table and take initiative.
• Competitive compensation packages and a strong focus on employee well-being.
• Community-driven environment with regular team outings and happy hours.
• Extensive career growth opportunities through personalized coaching and learning solutions.
• Commitment to diversity and inclusivity across all identities and experiences.