Senior Lead Machine Learning Scientist, Monzo

Operations

£135-165k

SQL
Python
Go
Senior and Expert level
Remote in UK
London

More information about location

Monzo

Digital-only bank platform and marketplace

Be an early applicant

Monzo

Digital-only bank platform and marketplace

1001+ employees

FintechB2CB2BBankingMarketplacePersonal financeFinancial ServicesMobile

Be an early applicant

£135-165k

SQL
Python
Go
Senior and Expert level
Remote in UK
London

More information about location

1001+ employees

FintechB2CB2BBankingMarketplacePersonal financeFinancial ServicesMobile

Company mission

To build a new kind of bank that makes money work for everyone.

Role

Who you are

  • You have a multiple year track record of excellence leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems, preferably in a fast moving tech company
  • You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
  • You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
  • You have a solid grounding in SQL and Python, are comfortable using them every day, and keen to learn Go lang which is used in many of our microservices
  • You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact
  • You are comfortable exploring potentially ambiguous business problems within a complex and rapidly growing organisation
  • You're excited about the potential of machine learning and can communicate those ideas to colleagues who are not familiar with the domain
  • You’re adaptable, curious and enjoy learning new technologies and ideas
  • You have experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across the team
  • You’re comfortable moving across teams within a larger organisation, optimising for where you can be most impactful and tracking multiple projects at once

Desirable

  • Experience working within large Customer Support and internal product spaces
  • Experience with NLP tasks
  • You have commercial experience writing critical production code and working with microservices

What the job involves

  • Our Operations Data team consists of over 35 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists
  • In our Operations Collective you'll have the opportunity to embed into an area that is the heart of how we work with our customers’ problems - and is full of data challenges
  • Machine Learning supports all aspects of Operations, from workforce planning, to customer support experience, to enabling teams to work effectively and efficiently
  • As a Senior Lead ML Scientist, you’ll be on of the most senior Individual Contributors (IC) in the organisation, giving you a real opportunity to lead us into an exciting new phase of optimising Customer Operations, enabling us to craft a world-class support experience for over 9 million customers across the UK, and beyond as we continue to grow
  • You’ll provide key technical leadership and ship highly impactful ML-based solutions
  • You’ll be empowered to work across the collective identifying the most impactful areas and pushing solution development forward while mentoring and levelling up less experienced ML practitioners
  • You’ll also impact how people across Monzo use ML tools to improve customer outcomes, including LLMs, which have their heaviest use within the Operations team
  • Machine Learning Scientists at Monzo work end to end, so you’ll have the opportunity to collaborate across not only the data disciple, but with cross-functional squads, to deliver real-time models all the way to actual value

Application process

  • 30 minute recruiter call
  • 45 minute call with hiring manager
  • 1 take home task
  • 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
  • We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out

Salary benchmarks

Our take

Monzo is a challenger bank that fully operates online and offers a full range of current, savings, business accounts, and more. The speed of the challenger banks to provide a great experience has been impressive, and the number of competitors appearing has proven the consumer desire for innovation.

Monzo remains one of the popular online banks, with more than 6 million customer active users. The company faces competition as more traditional banks, such as Goldman Sachs and JP Morgan, have launched their own digital banks. However, the new technologies that the company is built on enable it to expand quickly (with fewer issues) than the incumbent players' offerings.

With an increasing amount of people switching banks, the company's ever-expanding suite of banking and financial services (such as its buy-now-pay-later offering) has resulted in Monzo receiving the second-highest net switching gains among digital challenger banks (just behind Starling).

After setting U.S. expansion plans aside in 2020, the company launched in the U.S. market in early 2022, partnering with Sutton Bank to provide its U.S. accounts. After several years focused on narrowing its losses, Monzo hit profitability in the first two months of 2023. In the same year, 2 million new customers joined, tallying its customer base at 9 million in 2024.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Many candidates hear
back within 2 weeks

42% female employees

19% employee growth in 12 months

Company

Funding (last 2 of 18 rounds)

May 2024

$190m

LATE VC

Mar 2024

$444.7m

LATE VC

Total funding: $1.9bn

Company benefits

  • Yearly Salary Review + Proactive pay increases to reflect growing responsibilities + Share options
  • Flexible working hours
  • Work From Home Opportunities + we'll pay for any equipment you need to do your job
  • 24 days holiday a year, plus bank holidays
  • Paid sick leave for both physical & mental health + Health insurance via AXA or Vitality + Additional health insurance through Medicash
  • Employee Assistance Programme
  • Learning budget of £1,000 a year
  • Aviva Pension Scheme + 4% Employer Contribution
  • Paid maternity, paternity, adoption or shared parental leave (after 13 weeks of employment)
  • 52 weeks of primary caregiver leave (6 months at 100% pay, 13 weeks at Statutory Maternity Pay, 13 weeks unpaid)
  • 3 months of secondary caregiver leave at 100% pay
  • Unum Life Insurance
  • Access to fertility and family-forming health benefits via Fertifa
  • Abellio Season Travel Tickets + Cycle-to-Work Scheme

Company values

  • Be hard on problems, not people 🙌 We create supportive communities to help people thrive.
  • Make a difference 🚀 We solve real problems, working on things that have the biggest impact for our customers and each other.
  • Help everyone belong 🤗 We’re building a bank for everyone. We embrace differences and make sure everyone feels welcome.
  • Think customer first; grow Monzo safely 🥕 We always do what's best for customers. It's the right thing to do and the safest way to grow.
  • Default to transparency 🎤 We’re open with each other and customers unless we have good reason not to be.
  • Think big, start small, own it 🌲 We’re ambitious and shoot for the moon, working iteratively to get the best results.

Company HQ

City of London, London, UK

Leadership

Founder of HipDial. Former Software Engineer at Starling Bank.


People progressing

Joined in the Customer Operations team. Moved to be a Financial Crime Analyst after 5 months. Then moved again to be a Business Analyst after 2.5 years. Currently working as a Senior Product Manager.

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