Product Data Science Manager

SimilarWeb; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Career development opportunities

Regular team outings

Job summary

A leading digital intelligence company seeks a Product Data Science Manager to lead a customer-facing team in London. You will mentor data scientists, oversee complex data products, and ensure analytical excellence. The ideal candidate has strong SQL and PySpark experience, excellent communication skills, and a Bachelor’s degree in a related field. This position offers a collaborative environment, competitive benefits, and a chance to grow within a diverse organization.

Qualifications

• Proven experience managing and mentoring data analysts or analytics teams.
• Strong hands-on experience with SQL and PySpark for data analysis.
• Demonstrated ability to independently lead complex projects from strategy to execution.

Responsibilities

• Lead, mentor, and develop a team of customer-facing data analysts.
• Oversee end-to-end delivery of complex data products.
• Partner closely with Engineering to define scalable infrastructure.

Skills

SQL

PySpark

Python scripting

Excellent communication skills

Project management

Education

Bachelor's degree in Statistics, Computer Science, Engineering, or related field

Master's degree

Job description

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 5,700 customers globally, including industry giants like Google, Meta, and OpenAI, to make game‑changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.

About the Role

We’re looking for an experienced and inspiring Product Data Science Manager to lead a customer‑facing team within our fast‑paced Data Labs group. In this role, you will manage and mentor a high‑performing team of product data scientists while remaining deeply connected to the technical work itself. You’ll be responsible for delivering complex, custom insights to some of the biggest names in the market, ensuring both analytical excellence and strong 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 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 Statistics, Computer Science, Engineering, or a related field — Must.
• Master’s degree — Big Advantage.

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks & benefits: We take your well‑being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.