At a Glance
- Tasks: Lead a team of Data Scientists to drive impactful data-driven decisions.
- Company: Join Monzo, a revolutionary fintech company changing banking for everyone.
- Benefits: Competitive salary, flexible working, learning budget, and relocation support.
- Other info: Embrace diversity and inclusion in a supportive work environment.
- Why this job: Make a real difference in how people manage their money with innovative data solutions.
- Qualifications: Experience in managing Data Scientists and strong strategic data leadership skills.
The predicted salary is between 100000 - 130000 £ per year.
We’re on a mission to make money work for everyone. 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.
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:
- Working 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.
- Leading and developing a team of talented Data Scientists, helping them do their best work while setting a high bar for analytical quality and impact.
- Providing strategic direction across complex problems, helping teams identify where Data Science can have the greatest impact, and ensuring insights translate into meaningful decisions and product changes.
- Ensuring teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning.
- Connecting Data Science work to measurable customer, product and commercial outcomes.
- Working with Analytics Engineering, Machine Learning and other Data disciplines to ensure teams have the data, tooling and infrastructure they need.
- Contributing 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.
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.
Diversity and inclusion:
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.
Data Science Manager in London employer: Monzo Bank
Monzo is an exceptional employer that prioritises innovation and collaboration, making it a fantastic place for a Remote CRM Executive to thrive. With a strong focus on employee growth, we offer a generous learning budget and flexible working hours, ensuring you can develop your skills while maintaining a healthy work-life balance. Our commitment to diversity and inclusion fosters a supportive environment where every team member can contribute to meaningful change in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Science Manager in London
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!
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Craft a Tailored Cover Letter:For a full-time role at Monzo Bank, 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 Monzo Bank. 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 Monzo Bank
✨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 Monzo Bank!
✨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.