Data Science Manager, Payments
Role details
Job location
Tech stack
Job description
You'll work closely with the Product and Engineering teams in an agile product environment. You'll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on enabling revenue and customer growth.
You will manage a team of Data Scientists and Data Analysts, working together with Analytics Engineers to drive product innovation and you'll get to see 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. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data folk 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 and Analysts working on making Monzo world class at Payments products and experience
- Help hire, develop and retain talented Data people
- Collaborate closely with senior leaders across Monzo to deliver products for our customers
- 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
- Define the long term strategy of the team and create comprehensive roadmaps for all the projects within your team
- Generate insights that can change the direction of our Payments strategy
- Work and advise on Payments's global expansion strategy
- Liaise with Product and Engineering managers to make sure we collect the right data to produce relevant business insights
Our technology stack
Our Data team's mission is to Enable Monzo to Make Better Decisions, Faster
At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re-usability - all our data lives in one place and is made available via our data warehouse in Google BigQuery.
We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):
- Google Cloud Platform for all of our analytics infrastructure
- dbt and BigQuery SQL for our data modelling and warehousing
- Python for data science
- Go to write our application code
- AWS for most of our backend infrastructure, ??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
Requirements
- You have experience of managing a team of Data Scientists
- You are a strong strategic data leader and are passionate about using data to improve and inform business decisions
- You have strong experience working with executive or C-level peers an managing stakeholders across levels of seniorities and disciplines
- You know what it takes to manage top tier Data talent
- You're excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
- You have strong product knowledge and have built data products previously
- 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
- Experience in Payments is a plus, but not required.
