At a Glance
- Tasks: Lead a team of data scientists to deliver impactful insights for top global clients.
- Company: Join Similarweb, a leader in digital intelligence with a vibrant culture.
- Benefits: Competitive pay, wellness perks, team outings, and career growth opportunities.
- Other info: Diverse and inclusive workplace that values your unique perspective.
- Why this job: Make a real impact with cutting-edge data solutions and innovative projects.
- Qualifications: Experience in managing analytics teams and strong skills in SQL, PySpark, and Python.
The predicted salary is between 70000 - 90000 € per year.
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.
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.
- AWS infrastructure experience — Big 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.”
- You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table.
- We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees.
- You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department?
- Diversity isn’t just a buzzword: People want to work in a place where they can be themselves.
Product Data Science Manager in London employer: Bewerbung als Product Data Science Manager bei Similarweb
At Similarweb, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Our employees enjoy competitive benefits, a strong emphasis on personal and professional growth, and the opportunity to work with cutting-edge digital intelligence solutions that they are genuinely passionate about. With a commitment to inclusivity and community, we empower our team members to bring their authentic selves to work while driving impactful change in the digital landscape.
Contact Detail:
Bewerbung als Product Data Science Manager bei Similarweb Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to current or former Similarweb employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Similarweb’s products and services. Show us you’re not just another candidate; demonstrate how your skills can directly impact our clients and their digital strategies.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've led teams or tackled complex projects. We want to see your hands-on experience shine through in your answers.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows us you’re genuinely interested in joining the Similarweb family.
We think you need these skills to ace Product Data Science Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Product Data Science Manager role. Highlight your hands-on experience with SQL, PySpark, and Python, as well as any leadership roles you've had in the past.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how your background makes you a great fit for Similarweb. Don’t forget to mention your experience with client-facing roles and how you can drive impactful solutions.
Showcase Your Projects:If you've led complex projects or have examples of custom data products you've delivered, make sure to include these in your application. We love seeing real-world applications of your skills and how they’ve made a difference.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the Similarweb team!
How to prepare for a job interview at Bewerbung als Product Data Science Manager bei Similarweb
✨Know Your Data Tools
Make sure you're well-versed in SQL, PySpark, and Python. Brush up on your technical skills and be ready to discuss how you've used these tools in past projects. Being able to demonstrate your hands-on experience will show that you can lead a team effectively.
✨Showcase Your Leadership Style
Prepare examples of how you've managed and mentored teams in the past. Think about specific situations where you fostered a culture of ownership and excellence. This role is all about inspiring others, so be ready to share your approach to leadership.
✨Understand Client Needs
Since this position involves working closely with clients, be prepared to discuss how you've previously managed stakeholder expectations. Highlight any experiences where you translated complex data insights into actionable business strategies for clients.
✨Emphasise Collaboration
This role requires cross-functional collaboration, so think about times when you've partnered with other departments, like Engineering or Advisory Services. Be ready to discuss how you drove process improvements and knowledge sharing to enhance team efficiency.