Lead Data Scientist

Monzo; London; Hybrid; GBP 95,000 - 115,000; Full time

Job summary

A leading company in the banking sector seeks a Lead Data Scientist to enhance user engagement and drive data-driven decision making. You will work closely with cross-functional teams to innovate and simplify financial management for customers. The role offers a competitive salary, stock options, and a commitment to diversity and inclusion.

Benefits

Stock Options

Flexible Working Hours

Learning Budget of £1,000

Relocation Assistance

Qualifications

• Excited about mentoring other data scientists and analytics engineers.
• Able to think strategically about commercial products.

Responsibilities

• Lead the data strategy and evolve Monzo for customers.
• Develop best practices for experimentation.

Skills

Data Analysis

Mentoring

Experimentation

Strategic Thinking

Job description

We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking.

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 2025 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.

How we hire

We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!

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:

Our interview process involves:

• 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 but if you do have any specific questions ahead of this please contact us on [e-mail]

One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo

What’s in it for you:

£95,000 to £115,000 + Stock Options + Benefits

️ 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

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.

Equal opportunities for everyone

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. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report.

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

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