M
Data Science Manager
Contract type
Ongoing
Work mode
Hybrid · London, United Kingdom
Experience
3 years
Job description
Lead a team of Data Scientists and other data professionals within a product or business area at Monzo, combining people leadership with strategic data leadership and partnership with senior stakeholders.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Hybrid · London, United Kingdom
- Pay
- GBP 100,000 – 130,000 / year
What you'll do
- Lead, develop and grow a team of exceptional Data Scientists and other Data professionals.
- Hire, coach and retain talented people while creating an environment where they can develop and do their best work.
- Set the Data Science direction for your area and identify where data can have the greatest customer and business impact.
- Partner with Product, Engineering and senior stakeholders to shape strategy and influence product direction.
- Bring analytical rigour to complex and ambiguous problems and help teams turn them into clear, actionable opportunities.
- Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning.
- Help connect Data Science work to measurable customer, product and commercial outcomes.
- Work with Analytics Engineering, Machine Learning and other Data disciplines to ensure teams have the data, tooling and infrastructure they need.
- Contribute to the wider Data Science discipline at Monzo, helping us continually raise the bar for how we work.
What we're looking for
- Significant experience managing and developing Data Scientists.
- Strong strategic data leader who uses data to influence decisions and direction.
- Experience partnering with senior and executive stakeholders across different functions and levels of seniority.
- Comfortable working autonomously in a fast-growing and evolving organisation.
- Strong understanding of Data Science approaches including experimentation, causal inference, statistical analysis and machine learning.
- Comfortable with tools and languages such as Python and SQL, and understand how to choose the right analytical approach for a problem.
- Can build credibility with Product, Engineering and senior business leaders and influence without relying on authority.
- Strong product judgement and experience using Data Science to shape product development and strategy.
- Know how to balance technical excellence with pragmatic decision-making and business impact.
- Experience helping Data Scientists develop their technical, product and leadership capabilities.
Your team
Data
Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business.
Benefits
- Role can be based in the London office, with distributed working within the UK and ad hoc meetings in London
- Flexible working hours
- Learning budget of £1,000 a year for books, training courses and conferences
- Incentive Awards tied to your performance
How to get hired
- 130-minute recruiter call
- 245-minute call with the hiring manager
- 33 x 1-hour video calls with various team members
Apply
About Monzo
Data is at the heart of how we make decisions and build products at Monzo. Around 90% of day-to-day data-driven decisions are supported by self-serve analytics through Looker.
Key facts
- Around 90% of day-to-day data-driven decisions are supported by self-serve analytics through Looker
- Strong culture of data-driven decision making
What they value
- Data-driven decision making