Monzo
Data Science Manager
Remote role where the employee must remain based in a particular country.
United Kingdom only
Employer listed it 9 days ago · Added 5 days ago
First listed 9 days ago and still open.
Salary
£100,000 to £130,000
Location
United Kingdom only
Timezone
GMT
Contract
Full-time
Experience
Mid
Category
Data
Stated by the employer in the job description
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United Kingdom. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Cardiff, London or Remote (UK), London"
- Job description states: "based in our London office"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us.
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!
We’re not about selling products - we want to solve problems and change lives through Monzo ❤️
📍London or UK remote | 💰 £100,000 to £130,000 + Incentive Awards tied to your performance + Benefits | Technology - Data
⭐ About Data at Monzo
Data is at the heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business.
Our Data Scientists are embedded within product and business areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy.
As a Data Science Manager , you'll lead a team of Data Scientists and other Data professionals within one of these areas, combining people leadership with strategic data leadership and close partnership with senior stakeholders.
🔑 You'll play a key role by...
You’ll work closely with Product, Engineering and senior leaders to ensure data plays a central role in how we understand problems, make decisions and develop our products.
You'll lead and develop a team of talented Data Scientists, helping them do their best work while setting a high bar for analytical quality and impact. You'll provide strategic direction across complex problems, help teams identify where Data Science can have the greatest impact, and ensure insights translate into meaningful decisions and product changes.
We have a strong culture of data-driven decision making across Monzo. We're big believers in powerful, accessible analytics and empowering teams across the business to answer questions themselves. Around 90% of our day-to-day data-driven decisions are supported by self-serve analytics through Looker, giving our Data teams the space to focus on higher-impact problems.
Your day-to-day
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.
Requirements
- ·You're a strong strategic data leader who uses data to influence decisions and direction.
- ·You have experience partnering with senior and executive stakeholders across different functions and levels of seniority.
- ·You're comfortable working autonomously in a fast-growing and evolving organisation.
- ·You have a strong understanding of Data Science approaches including experimentation, causal inference, statistical analysis and machine learning.
- ·You're comfortable with tools and languages such as Python and SQL, and understand how to choose the right analytical approach for a problem.
Benefits
- ·#LI-LG1 #LI-Remote
- ·Equal opportunities for everyone
- ·If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Monzo, mentioning your remote working experience and working hours (GMT).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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