---
title: 'Data Science Manager at Referrals Only'
canonical: 'https://feeny.ai/job/data-science-manager-referrals-only-cardiff-london-or-qy9svbyf8q50'
type: 'job'
last_seen: '2026-09-14'
---

# Data Science Manager at Referrals Only

- **Company:** Referrals Only
- **Location:** Cardiff London OR, United Kingdom
- **Work type:** remote
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-14
- **Apply:** https://job-boards.greenhouse.io/monzoreferrals/jobs/8188575

## Job description

📍London or UK remote | 💰 £100,000 to £130,000 + Incentive Awards tied to your performance +[Benefits](https://monzo.com/careers/#benefits)|[Technology](https://monzo.com/blog/technology) -[Data](https://monzo.com/blog/data)

⭐ About Data at Monzo

Data is at the heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business.

Our Data Scientists are embedded within product and business areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy.

As a Data Science Manager, you'll lead a team of Data Scientists and other Data professionals within one of these areas, combining people leadership with strategic data leadership and close partnership with senior stakeholders.

🔑 You'll play a key role by...

You’ll work closely with Product, Engineering and senior leaders to ensure data plays a central role in how we understand problems, make decisions and develop our products.

You'll lead and develop a team of talented Data Scientists, helping them do their best work while setting a high bar for analytical quality and impact. You'll provide strategic direction across complex problems, help teams identify where Data Science can have the greatest impact, and ensure insights translate into meaningful decisions and product changes.

We have a strong culture of data-driven decision making across Monzo. We're big believers in powerful, accessible analytics and empowering teams across the business to answer questions themselves. Around 90% of our day-to-day data-driven decisions are supported by self-serve analytics through Looker, giving our Data teams the space to focus on higher-impact problems.

## Your day-to-day

- Lead, develop and grow a team of exceptional Data Scientists and other Data professionals.
- Hire, coach and retain talented people while creating an environment where they can develop and do their best work.
- Set the Data Science direction for your area and identify where data can have the greatest customer and business impact.
- Partner with Product, Engineering and senior stakeholders to shape strategy and influence product direction.
- Bring analytical rigour to complex and ambiguous problems and help teams turn them into clear, actionable opportunities.
- Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning.
- Help connect Data Science work to measurable customer, product and commercial outcomes.
- Work with Analytics Engineering, Machine Learning and other Data disciplines to ensure teams have the data, tooling and infrastructure they need.
- Contribute to the wider Data Science discipline at Monzo, helping us continually raise the bar for how we work.

🤩 We'd love to hear from you if...

- What we're doing at Monzo excites you!
- You have significant experience managing and developing Data Scientists.
- You're a strong strategic data leader who uses data to influence decisions and direction.
- You have experience partnering with senior and executive stakeholders across different functions and levels of seniority.
- You're comfortable working autonomously in a fast-growing and evolving organisation.
- You have a strong understanding of Data Science approaches including experimentation, causal inference, statistical analysis and machine learning.
- You're comfortable with tools and languages such as Python and SQL, and understand how to choose the right analytical approach for a problem.
- You can build credibility with Product, Engineering and senior business leaders and influence without relying on authority.
- You have strong product judgement and experience using Data Science to shape product development and strategy.
- You know how to balance technical excellence with pragmatic decision-making and business impact.
- You have experience helping Data Scientists develop their technical, product and leadership capabilities.

The interview process

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

- 30-minute recruiter call
- 45-minute call with the hiring manager
- 3 x 1-hour video calls with various team members

Our average process takes around 3–4 weeks, but we'll always work around your availability. You'll have the chance to speak to our recruitment team at various points during the process.

## What's in it for you

✈️ We can help you relocate to the UK

✅ We can sponsor visas

📍 This role can be based in our London office, but we're open to distributed working within the UK, with ad hoc meetings in London.

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚 Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits [here](https://monzo.com/careers/)

#LI-LG1 #LI-Remote

## About Referrals Only

## Company Overview
- **One-liner**: Marqeta is the world’s first modern card issuing platform, providing open APIs that enable businesses to create, manage, and scale customized payment card programs.
- **Entity Type**: Public (Ticker: MQ on NASDAQ)
- **Headquarters**: Oakland, California, USA
- **Founded**: 2010
- **Founders**: Jason Gardner (Founder & Executive Chairman)

## Core Business
- **Primary industry**: Financial Technology (Fintech) — Modern Card Issuing & Payment Solutions
- **Target customers**: B2B; serves a wide range of industries including digital banking, on-demand delivery, buy now, pay later, expense management, retail, and workforce payments. Customers include Square, DoorDash, and other high-growth fintech and enterprise companies.
- **Mission or purpose statement**: To simplify payments and enable any company to deliver delightful payment experiences natively, powering more flexible, engaging, and innovative payment products.

## Products & Services
- **Modern Card Issuing Platform (SaaS/API)**: Fully open API platform that allows developers to launch new credit and debit card programs with speed, flexibility, and scale. Supports instant wage access, embedded finance, and custom card products.
- **Compliance & Risk Management (Service)**: Integrated fraud detection, spend control, and compliance tools to ensure high levels of security and uptime.
- **Global Expansion Capabilities (Platform)**: Certified to operate in over 40 countries across the US, Europe, and Asia, enabling businesses to scale globally.

## Market Standing
- **Valuation/Market Cap**: As a public company, market cap fluctuates. As of mid-2026, Marqeta is a publicly traded company valued in the multi-billion dollar range (exact figure varies with market conditions).
- **Key Metric**: Annual Revenue — $383 billion+ in total volume processed in 2025; 80x volume growth since 2017; 99.99% platform uptime in 2025.
- **Notable Investors/Partners**: Key customers include Square (Block), DoorDash, and other leading fintech and enterprise firms. Partners include issuing banks, networks (e.g., Visa, Mastercard), and card fulfillment providers.
- **Growth Signals**: Recognized as a CNBC Disruptor (top 50 in 2021 award); consistent expansion into new geographies (EU, UK, Asia); continued hiring across multiple departments and regions (US, Canada, UK).

## Competitive Advantages
- **First-mover & category leader**: Marqeta defined the modern card issuing category with its open API platform, giving it a decade-plus head start over competitors.
- **Scalability & reliability**: Proven track record of 99.99% uptime and handling massive transaction volumes (80x growth since 2017) — critical for enterprise customers.
- **Deep integration with major networks**: Pre-existing relationships with Visa, Mastercard, and issuing banks shorten time-to-market for customers.
- **Developer-first approach**: Open APIs and developer tools make it easy for engineering teams to build custom payment experiences quickly.

## Strategic Focus
- **Global expansion**: Continuing to expand its certified operations into new countries (currently 40+) to serve multinational customers.
- **Embedded finance & new use cases**: Driving adoption in instant wage access, embedded finance, and enterprise expense management.
- **AI & automation**: Investing in AI-powered fraud detection, risk management, and product automation (e.g., hiring for Principal Security Engineer, Product & AI; Lead Product Manager, Enterprise AI & Automation).
- **Platform stability & security**: Maintaining industry-leading uptime and security compliance as core differentiators.

## Why Work Here
- **Culture & values**: Marqeta emphasizes a culture of “Simplify and Innovate,” “Solve for the Customer,” “Do What’s Right,” “Make it Count,” and “Win as a Team.” Employee Resource Groups (ERGs) include BlackCard, HOLA, RepresentAsian, Desi, MQ-Proud, Vets@MQ, Women’s Group, Parents’ Group, and Marqetaglots.
- **Remote/hybrid policy**: Many roles are remote (US, Canada, UK), with some positions based in Oakland, CA or London, UK. The company supports flexible work arrangements.
- **Notable perks & engineering culture**: Fast-paced, purpose-driven environment; strong focus on developer experience and open APIs; opportunities to work on cutting-edge payment infrastructure at massive scale. The company invests heavily in early career talent and internal mobility.
- **Award-winning workplace**: Recognized as a top workplace (e.g., CNBC Disruptor) and offers a collaborative, inclusive environment.

## Sources
1. [Marqeta About Us](https://www.marqeta.com/company/about-us)
2. [Marqeta Careers Page](https://www.marqeta.com/company/careers)
3. [Marqeta Homepage](https://www.marqeta.com/)
4. [Greenhouse Job Board](http://job-boards.greenhouse.io/marqeta)
5. [MQ Referrals Job Board](https://job-boards.greenhouse.io/mqreferrals/jobs/7743043)

## Other roles at Referrals Only

- [Product Manager, Subscriptions](https://feeny.ai/job/product-manager-subscriptions-referrals-only-barcelona-0jkx6zdsjnj7) — Barcelona, Spain
- [Fraud Compliance Manager](https://feeny.ai/job/fraud-compliance-manager-referrals-only-united-kingdom-qpzb7bmcbgxt) — United Kingdom
- [Fraud Investigator, Overnight Team](https://feeny.ai/job/fraud-investigator-overnight-team-referrals-only-united-kingdom-weayv59k72r1) — United Kingdom
- [Lead Market Researcher](https://feeny.ai/job/lead-market-researcher-referrals-only-cardiff-london-or-83qyn2ncq2qk) — Cardiff London OR, United Kingdom
- [Chief of Staff, Group CFO](https://feeny.ai/job/chief-of-staff-group-cfo-referrals-only-london-fg8xem42f7fh) — London, United Kingdom
- [Senior Product Manager - Growth](https://feeny.ai/job/senior-product-manager-growth-referrals-only-london-x8w3pax4qj7r) — London, United Kingdom
- [Director of Product Design](https://feeny.ai/job/director-of-product-design-referrals-only-cardiff-london-or-8ca0hy3vyc09) — Cardiff London OR, United Kingdom
- [Staff Backend Engineer](https://feeny.ai/job/staff-backend-engineer-referrals-only-cardiff-london-or-6w1n8z0gktm9) — Cardiff London OR, United Kingdom
- [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-referrals-only-cardiff-london-or-0weyav3xnjw9) — Cardiff London OR, United Kingdom
- [Backend Engineer III](https://feeny.ai/job/backend-engineer-iii-referrals-only-cardiff-london-or-awnc2afx215n) — Cardiff London OR, United Kingdom