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 salary, wellness perks, and opportunities for career growth.
- Other info: Diverse and inclusive workplace that values your unique contributions.
- 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 and Python.
The predicted salary is between 66150 - 80850 £ 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.
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: 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: 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.
Product Data Science Manager in London employer: Similar Web
At Similarweb, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Our employees enjoy competitive compensation packages, ample opportunities for career growth, and a commitment to inclusivity that allows everyone to bring their authentic selves to work. Join us in our mission to revolutionise digital intelligence while working with a product that our team is genuinely passionate about.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Science Manager in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Similar Web!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Similar Web.
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We think you need these skills to ace Product Data Science Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Similar Web, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Similar Web. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Similar Web
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Similar Web!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.