đ Weâre on a mission to make money work for everyone.
Weâre 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!Weâre not about selling products - we want to solve problems and change lives through Monzo â¤ď¸Hear from our team about what it's like working at Monzo â¨
đLondon/Cardiff/UK Remote | đ° ÂŁ135,000-165,000 + Benefits | Hear from the team â¨
âAbout Ops Data: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 customersâ 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.
đYouâll play a key role by...
As a Senior Lead ML Scientist, youâll 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. Youâll provide key technical leadership and ship highly impactful ML-based solutions. Youâll 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.
Youâll 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 youâll 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
đ¤ŠWeâd love to hear from you ifâŚ
What weâre doing here at Monzo excites you!
- 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 microservicesÂ
- 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
- Youâre 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
- Youâre comfortable moving across teams within a larger organisation, optimising for where you can be most impactful and tracking multiple projects at once
Nice to haves:
- 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
đWhatâs in it for you
âď¸ Weâll help you relocate to the UK. â
We can sponsor your visa.đThis role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) â°We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. đÂŁ1,000 learning budget each year to use on books, training courses and conferences.đĄWe will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. â Plus lots more! Read our full list of benefits.
đOur interview process involves 3 main stages.Â
We promise not to ask you any brain teasers or trick questions!
- 30 minute recruiter callÂ
- 45 minute call with hiring managerÂ
- 1 take home taskÂ
- 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.comWeâll 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 donât miss out.Â
#LI-REMOTE #LI-NJ1
Equal opportunities for everyone
Diversity and inclusion are a priority for us and weâre making sure we have lots of support for all of our people to grow at Monzo. At Monzo, weâre 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.Weâre 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 đ
