Lead Data Scientist in London

Lead Data Scientist in London

London Full-Time Home office (partial)
W

At a Glance

  • Tasks: Lead data strategy and evolve Monzo for a simpler money management experience.
  • Company: Join Monzo, a fast-growing bank with over 11 million customers in the UK.
  • Benefits: Competitive salary, performance incentives, flexible hours, and a £1,000 learning budget.
  • Other info: Diversity and inclusion are core values; we support your growth at Monzo.
  • Why this job: Shape the future of banking and make a real impact on customer experiences.
  • Qualifications: Experience in data science, strategic thinking, and mentoring skills.

London, Cardiff or Remote in the UK | £95,000 to £130,000 | Incentive Awards tied to your performance + Benefits | Technology - Data

We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo.

We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2026 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

What you’ll be working on:

  • Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day
  • Develop and execute best practices for experimentation enabling our team to make data informed decisions
  • Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
  • Work closely with leaders in product, engineering, design and research to build and iterate on product ideas

You should apply if:

  • You enjoy working with cross functional fast moving teams
  • You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers
  • You are excited about mentoring other data scientists and analytics engineers
  • You are excited by experimentation and utilising new data techniques to solve challenging problems
  • You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features
  • You are opinionated about how to think about measuring success and are willing to challenge the status quo

The interview process:

  • Initial Call
  • Technical assessment
  • Final Interviews
  • Business Fit/Collaboration
  • Case Study
  • Technical Interview

Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process.

What’s in it for you:

  • £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits
  • We can help you relocate to the UK or Spain
  • We can sponsor visas
  • This role can be based in our London or Barcelona offices, but we're also 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
  • If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage.

We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK.

Stay connected! Follow us on LinkedIn for updates on career opportunities and more.

Lead Data Scientist in London employer: Women in Data®

Monzo is an exceptional employer that champions a culture of innovation and inclusivity, making it an ideal place for a Lead Data Scientist to thrive. With flexible working arrangements, a generous learning budget, and a commitment to diversity, employees are empowered to grow both personally and professionally while contributing to a mission that transforms banking into a delightful experience for millions. Join us in shaping the future of finance in a supportive environment that values your insights and creativity.

W

Contact Details:

Women in Data® Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Scientist 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 Women in Data®!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Scientist at Women in Data®.

Leverage Professional Networks

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 Women in Data®.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Scientist at Women in Data®, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead Data Scientist in London

Data Strategy
Experimentation Best Practices
Cross-Functional Collaboration
Data Analysis
Mentoring
Commercial Product Strategy
Problem-Solving

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 Women in Data®, 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 Women in Data®. 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 Women in Data®

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 Women in Data®!

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.