Data Science Manager, Operations

2 weeks ago

London, United Kingdom Abs Data Full time

Data Science Manager, Operations
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. About our Operations Data Team:
As we continue to scale, we’re looking for a Data Science Manager for our Operations Collective, excited to help build the bank of the future. You’ll have the opportunity to work on an area that is the heart of how we work with our customers’ problems – and is full of data challenges: product and journey experiments, forecasting supply and demand, operational research, all to understand the biggest opportunities to improve how we serve our customers – matching customer problems to people who can solve them in the best way.
You’ll work closely with the Operations manager, product director, 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 A/B testing. You’ll help us get the most out of volumes of cloud native data platform, spotting opportunities to make each area of our product work even better for our users. You’ll help your team grow, hiring new team members, supporting their personal development. 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.
Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling Operations and Product problems
Help hire, develop and retain talented Data people
Bring data leadership and rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
Liaise with engineering managers to keep making sure we collect the right data to produce relevant business insights
You must have at least 4 years of experience as a Data Science Manager- at least 2 of them manage a data team larger than 4 people
Experience in Product data science
You are a strong strategic data leader and love to drive decisions
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
3 x 1-hour video calls with various team members

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
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.
Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
#LI-NJ1 #LI-REMOTE
Data #Science #Manager #Operations

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