About Cleo
We’re building a hyper‑intelligent financial advisor in the pocket. Cleo is a profitable, fast‑growing unicorn with over $300 million in ARR, growing more than 2× year‑over‑year. We’re looking for individuals who are at the top of their field and embody collaboration and positive impact.
About the Role
Data Science Manager – Growth Analytics. Lead analytics for Cleo’s Product Growth pillar, guiding acquisition, onboarding, conversion, retention and expansion. Manage a team of 4‑5 Product Analysts embedded in cross‑functional squads, directly influence user acquisition, conversion, LTV and scale to millions of people.
What you’ll be doing
- Pillar leadership:
- Build discovery and experimentation road‑maps across acquisition, onboarding, conversion and retention.
- Define success metrics, metric trees and guardrails for data‑driven decisions.
- Support and challenge teams during OKR planning, aligning initiatives to clear metrics and realistic targets.
- Provide visibility to senior leadership on pillar performance.
- Team leadership:
- Line‑manage product data scientists, supporting performance, development and career growth.
- Ensure analysts focus on highest‑impact work aligned to pillar priorities.
- Coach on stakeholder management, storytelling, experimentation and commercial thinking.
- Raise analytics quality through feedback, pairing, templates/playbooks and lightweight standards.
- Hands‑on analytics and experimentation:
- Deliver high‑impact analysis that shapes road‑maps and investment decisions.
- Deep‑dive key metrics to uncover trends, root causes and segment differences.
- Own the experimentation program, ensuring robust tests, aligned strategy and a maintained test roadmap.
- Translate insights into shipped change, removing blockers and closing the loop on outcomes.
- Data foundations:
- Champion high‑quality instrumentation, clear metric definitions and data hygiene.
- Collaborate with Analytics Engineering to prioritise modelling needs.
- Build dashboards and tools that empower squads without constant analyst intervention.
About you
Must‑have
- 7+ years in product data science or analytics with a track record of improving user and commercial outcomes.
- Proven experience in product analytics – onboarding, activation, conversion funnels, retention – in consumer products.
- Experience leading a high‑performing team of 2–3 or more data scientists/analysts.
- Strong influence and communication; able to tell a clear, structured data story and create alignment with senior stakeholders.
- Strong experimentation skills – designing, interpreting large‑scale A/B tests and guiding best practices.
- Proficient in SQL and Python, comfortable working with modern analytics tools and workflows.
- End‑to‑end ownership from tracking definition to analysis and decision support.
Nice‑to‑have
- Experience in fintech, personal finance or high‑growth consumer subscription products.
- Experience establishing lightweight analytics standards (metric definitions, experiment reviews, decision frameworks) across multiple squads.
Benefits
- Competitive compensation (base + equity) and regular reviews aligned to OKR cycles.
- AX4 level pay: £94,059‑£119,128 (hybrid) or £88,938‑£113,489 (remote).
- Fast‑growing tech startup backed by top VC firms.
- Clear progression plan with growth opportunities, support and challenges.
- Flexibility and health‑first culture with hybrid options and travel support.
- Company‑wide performance reviews every four months.
- Generous pay increases, equity top‑ups and up to 30 days annual leave plus extra for tenure.
- 1 month paid sabbatical after four years and a 6 % employer‑matched pension.
- Online mental health support and comprehensive insurance (medical, dental, life).
- Enhanced parental leave, workplace nursery scheme, regular socials, and access to technology resources.
- Additional perks: OpenAI subscription coverage and more.
Welcoming Everyone
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers and people from lower socio‑economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.
#J-18808-Ljbffr”, “datePosted”: “2026-05-12”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Cleo”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__429311764__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }About Cleo
We’re building a hyper‑intelligent financial advisor in the pocket. Cleo is a profitable, fast‑growing unicorn with over $300 million in ARR, growing more than 2× year‑over‑year. We’re looking for individuals who are at the top of their field and embody collaboration and positive impact.
About the Role
Data Science Manager – Growth Analytics. Lead analytics for Cleo’s Product Growth pillar, guiding acquisition, onboarding, conversion, retention and expansion. Manage a team of 4‑5 Product Analysts embedded in cross‑functional squads, directly influence user acquisition, conversion, LTV and scale to millions of people.
What you’ll be doing
- Pillar leadership:
- Build discovery and experimentation road‑maps across acquisition, onboarding, conversion and retention.
- Define success metrics, metric trees and guardrails for data‑driven decisions.
- Support and challenge teams during OKR planning, aligning initiatives to clear metrics and realistic targets.
- Provide visibility to senior leadership on pillar performance.
- Team leadership:
- Line‑manage product data scientists, supporting performance, development and career growth.
- Ensure analysts focus on highest‑impact work aligned to pillar priorities.
- Coach on stakeholder management, storytelling, experimentation and commercial thinking.
- Raise analytics quality through feedback, pairing, templates/playbooks and lightweight standards.
- Hands‑on analytics and experimentation:
- Deliver high‑impact analysis that shapes road‑maps and investment decisions.
- Deep‑dive key metrics to uncover trends, root causes and segment differences.
- Own the experimentation program, ensuring robust tests, aligned strategy and a maintained test roadmap.
- Translate insights into shipped change, removing blockers and closing the loop on outcomes.
- Data foundations:
- Champion high‑quality instrumentation, clear metric definitions and data hygiene.
- Collaborate with Analytics Engineering to prioritise modelling needs.
- Build dashboards and tools that empower squads without constant analyst intervention.
About you
Must‑have
- 7+ years in product data science or analytics with a track record of improving user and commercial outcomes.
- Proven experience in product analytics – onboarding, activation, conversion funnels, retention – in consumer products.
- Experience leading a high‑performing team of 2–3 or more data scientists/analysts.
- Strong influence and communication; able to tell a clear, structured data story and create alignment with senior stakeholders.
- Strong experimentation skills – designing, interpreting large‑scale A/B tests and guiding best practices.
- Proficient in SQL and Python, comfortable working with modern analytics tools and workflows.
- End‑to‑end ownership from tracking definition to analysis and decision support.
Nice‑to‑have
- Experience in fintech, personal finance or high‑growth consumer subscription products.
- Experience establishing lightweight analytics standards (metric definitions, experiment reviews, decision frameworks) across multiple squads.
Benefits
- Competitive compensation (base + equity) and regular reviews aligned to OKR cycles.
- AX4 level pay: £94,059‑£119,128 (hybrid) or £88,938‑£113,489 (remote).
- Fast‑growing tech startup backed by top VC firms.
- Clear progression plan with growth opportunities, support and challenges.
- Flexibility and health‑first culture with hybrid options and travel support.
- Company‑wide performance reviews every four months.
- Generous pay increases, equity top‑ups and up to 30 days annual leave plus extra for tenure.
- 1 month paid sabbatical after four years and a 6 % employer‑matched pension.
- Online mental health support and comprehensive insurance (medical, dental, life).
- Enhanced parental leave, workplace nursery scheme, regular socials, and access to technology resources.
- Additional perks: OpenAI subscription coverage and more.
Welcoming Everyone
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers and people from lower socio‑economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.
#J-18808-Ljbffr…