Data Science Manager (Growth Analytics) in London

Data Science Manager (Growth Analytics) in London

London Full-Time 70000 - 90000 € / year (est.) Home office (partial)
Deepstreamtech

At a Glance

  • Tasks: Lead a team of analysts to drive product growth through data insights and experimentation.
  • Company: Join Cleo, a dynamic fintech company focused on user-centric growth.
  • Benefits: Competitive salary, career development opportunities, and a collaborative work environment.
  • Other info: Opportunity to shape analytics standards and influence key business decisions.
  • Why this job: Make a real impact on user acquisition and retention strategies in a fast-paced setting.
  • Qualifications: 7+ years in data science, strong leadership, and expertise in SQL and Python.

The predicted salary is between 70000 - 90000 € per year.

Requirements

  • 7+ years in product data science/analytics with a track record of improving user and commercial outcomes
  • Proven experience in product analytics (e.g., onboarding/activation, conversion funnels, retention) in consumer products
  • Experience leading a high-performing team (at least 2–3 data scientists/analysts; managing a mix of senior and mid-level is a plus)
  • Strong influence and communication: You can tell a clear, structured story with data and land insights at the right time to shape decisions. You’ve set/defended targets with senior stakeholders and created broad alignment
  • Strong experimentation skills: you’ve designed and interpreted large-scale A/B tests, understand common pitfalls and best practices, and are comfortable guiding others
  • Strong SQL and Python skills, and comfort working directly with modern analytics tools and workflows
  • You can work end-to-end: from defining tracking and metric definitions through to analysis and decision support
  • (Desirable) Experience in fintech, personal finance, or high-growth consumer subscription products
  • (Desirable) Experience setting up lightweight analytics standards (metric definitions, experiment reviews, decision frameworks) across multiple squads

What the job involves

  • We are looking for a Product Analytics Manager to lead analytics for Cleo’s Product Growth pillar.
  • Our Growth pillar works across acquisition, onboarding, conversion, retention and expansion into new markets. You will lead a team of 4 to 5 Product Analysts who are embedded in cross-functional squads across these areas.
  • Your team’s work will directly influence how we acquire, convert and retain users, how we improve payback and LTV, and how we scale Cleo to millions more people in a sustainable way.
  • You will work alongside leaders in Analytics, Product, Engineering, Marketing and Design, playing a strategic decision-making role in one of Cleo’s most important levers.
  • You will set the bar for growth analytics at Cleo, while staying hands-on and delivering high-impact analysis yourself.
  • Partner with pillar leaders to build a discovery and experimentation roadmap across acquisition, onboarding, conversion, and retention.
  • Define success metrics, metric trees, and guardrails so squads make consistent, data-driven decisions.
  • Support and challenge teams during OKR planning, ensuring initiatives map to clear metrics, realistic targets, and understood trade-offs.
  • Provide visibility to senior leadership on pillar performance: what’s driving key metric movement, where the biggest opportunities are, and what we’ll do next.
  • Line-manage product data scientists, supporting performance, development, and career growth.
  • Ensure analysts are focused on the highest-impact work and delivering against pillar priorities.
  • Coach on stakeholder management, structured problem solving, storytelling, experimentation, and commercial thinking.
  • Raise the bar for analytics craft through feedback, pairing, templates/playbooks, and lightweight standards that improve quality and speed.
  • Personally deliver high-impact analysis that shapes pillar roadmaps and investment decisions.
  • Deep dive into key metrics to understand trends, root causes, and differences across products and segments.
  • Own the experimentation program in your pillar: Ensure tests are robust, interpretable, and aligned to strategy. Maintain a test roadmap, prevent collisions, and resolve cross-team conflicts.
  • Turn insights into shipped change: align owners and timelines, remove blockers, and close the loop on outcomes.
  • Champion high-quality instrumentation, clear metric definitions, and data hygiene.
  • Work with Analytics Engineering to prioritise modelling needs and ensure the right datasets and definitions exist for your pillar.
  • Build and oversee dashboards/tools that help squads and leaders act on metrics without always relying on analysts.

Data Science Manager (Growth Analytics) in London employer: Deepstreamtech

Cleo is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and data-driven decision-making are at the forefront. As a Data Science Manager in London, you will lead a talented team of analysts, driving impactful growth strategies while benefiting from ample opportunities for professional development and career progression. With a focus on experimentation and cross-functional collaboration, Cleo empowers its employees to make meaningful contributions that directly influence the company's success and user experience.

Deepstreamtech

Contact Detail:

Deepstreamtech Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Science Manager (Growth Analytics) in London

Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio or a personal project that highlights your data science prowess. This is a great way to demonstrate your hands-on experience and creativity.

Tip Number 3

Prepare for interviews by practising common questions and scenarios related to product analytics. We recommend using the STAR method to structure your answers and showcase your problem-solving skills.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Science Manager (Growth Analytics) in London

Product Data Science
Analytics
Team Leadership
Communication Skills
Experimentation Skills
A/B Testing
SQL

Some tips for your application 🫡

Show Off Your Experience:Make sure to highlight your 7+ years in product data science or analytics. We want to see how you've improved user and commercial outcomes, so share specific examples that demonstrate your impact!

Tell a Story with Data:When you write your application, think about how you can communicate your insights clearly. We love candidates who can tell a structured story with data, so don’t shy away from showcasing your strong influence and communication skills.

Demonstrate Your Experimentation Skills:We’re looking for someone who’s comfortable designing and interpreting A/B tests. Share your experiences with experimentation, including any common pitfalls you’ve navigated and best practices you’ve established.

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 get to know you better. Don’t miss out on this opportunity to join our team!

How to prepare for a job interview at Deepstreamtech

Know Your Data Inside Out

Make sure you’re well-versed in the key metrics and analytics tools relevant to the role. Brush up on your SQL and Python skills, and be ready to discuss how you've used data to drive user and commercial outcomes in previous roles.

Showcase Your Leadership Skills

Prepare examples of how you've led teams of data scientists or analysts. Highlight your experience in managing a mix of senior and mid-level talent, and be ready to discuss how you’ve supported their growth and performance.

Master the Art of Storytelling with Data

Practice telling a clear, structured story with data. Be prepared to explain how you’ve influenced decisions with your insights and how you’ve set and defended targets with senior stakeholders.

Demonstrate Your Experimentation Expertise

Be ready to discuss your experience with A/B testing and experimentation. Share specific examples of tests you've designed, the pitfalls you've encountered, and how you ensured alignment with strategic goals.