Data Science Manager

Monzo (View all Jobs)

London

Please mention No Whiteboard if you apply!
I'm a one-man team looking to improve tech interviews, and could use any support! 😄


Interview Process

1. Phone interview 2. Take-home, & call to discuss it 3. 2-3 hours of on-site interviews (systems/behavioural)

Programming Languages Mentioned

Python, SQL


🚀 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 ❤️

Hear from our team about what it's like working at Monzo


 

📍London/Anywhere (UK)

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Growth Data Team:

As we continue to scale, we’re looking for a Data Science Manager with Marketing experience to lead one of our key product areas for Growth.

As a Data science manager, you’ll be working in an ever changing environment, in collaboration with Marketing and Product teams, to develop and deliver the data strategy and help to lead a cross-functional team.

You’ll help us build and improve these for now and for our future roadmap. We’re looking for a leader with hands-on experience, data driven strategic leader who can bring fresh thinking and new ways to inspire the team and our customers.

What you’ll be working on:

You’ll work closely with the Marketing director, product and engineering managers, designers and researchers in an agile product environment. You’ll champion the use of data, bring ideas to life through rigorous experimentation and data analysis. You’ll help us get the most out of volumes of cloud native data platforms, spotting opportunities to make our Marketing more effective. You’ll help your team grow, hiring new team members, supporting their personal development. Your team will inform strategy and measure the impact of all your work in the product changes we make.

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.

Your day-to-day 

  • Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling product problems
  • Help hire, develop and retain talented Data people
  • Generate insights that can change the direction of Marketing decisions
  • Bring data leadership and rigour to our approach to Marketing and build a strategic understanding of the business while structuring complex projects to bring them to life.
  • Liaise with Marketing, Product and Engineering managers to keep making sure we collect the right data to produce relevant business insights.

You should apply if:

  • What we’re doing here at Monzo excites you!
  • You must have at least 4 years of experience as a Data Science Manager- at least 2 of them managing a data team larger than 4 people
  • Experience in Product data science
  • You are a strong strategic data leader and love to drive decisions
  • Experience with working with c-level peers
  • You know what it takes to manage top tier Data Science talent
  • You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
  • You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same

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 hiring manager 
  • 3 x 1-hour video calls with various team members

Our average process takes around 3-4 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 tech-hiring@monzo.com

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

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.

#LI-REMOTE


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, 2023 Diversity and Inclusion Report and 2023 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 😊

Please mention No Whiteboard if you apply!
I'm a one-man team looking to improve tech interviews, and could use any support! 😄


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