Remote opportunity at
MonzoStaff Data Scientist
This full-time Staff Data Scientist role at Monzo can be based in London or Barcelona, or done remotely within the UK. Monzo is a UK bank…
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About This Role
This full-time Staff Data Scientist role at Monzo can be based in London or Barcelona, or done remotely within the UK. Monzo is a UK bank that reports more than 11 million customers in the country and says most of its growth comes through referrals and word of mouth. This senior individual contributor post combines technical depth with business judgement, applied to some of the firm's knottiest decisions. Data is…
Job Description
This full-time Staff Data Scientist role at Monzo can be based in London or Barcelona, or done remotely within the UK. Monzo is a UK bank that reports more than 11 million customers in the country and says most of its growth comes through referrals and word of mouth. This senior individual contributor post combines technical depth with business judgement, applied to some of the firm's knottiest decisions. Data is stored in one place, and roughly 90 percent of routine data-driven decisions run through self-serve analytics in Looker, leaving data scientists free for bigger questions.
The Staff Data Scientist takes charge of problems that are both strategic and critical to the business. The job sets the data direction for a major domain or collective, ties customer and commercial aims to a coherent slate of data science projects, and defines murky problems that cut across teams and involve real trade-offs. It works alongside senior figures in risk, operations, research, design, ML, engineering and product, offering an independent technical view that produces measurable gains.
Hands-on work remains part of the job. The data scientist designs measurement strategies and metric maps, sets standards for experimentation, causal inference, forecasting and optimisation, and picks methods matched to each decision and its risks. The role also oversees critical data products from start to finish so that they stay robust, documented and in use. Coaching data scientists and analytics engineers, and raising the bar through reviews, reusable methods and proposals, form a major part of the post.
Applicants should have guided intricate data science programmes from murky starting points to results, and helped steer strategy across a big product or business unit. Deep expertise in several data science disciplines is expected, along with the ability to communicate assumptions and risks clearly and to keep analysis rigorous. Working knowledge of SQL and Python is needed. Pay is listed at £124,400 to £165,000, plus incentive awards tied to performance and benefits, and part-time working is considered where possible.
Responsibilities
- Direct the data strategy for a big domain or collective, tying goals to a set of analytics initiatives
- Frame strategically important problems where dependencies cross teams and trade-offs are significant
- Work alongside senior figures spanning risk, operations, research, design, ML, engineering and product
- Craft measurement plans and metric trees that link customer actions to commercial outcomes
- Establish standards for testing, causal analysis, forecasting, optimisation and decision analytics
- Stay hands-on with complex data, analyses, models and prototypes where expertise matters most
- Oversee critical data products end to end so they remain robust, documented and adopted
- Develop data scientists and analytics engineers through hands-on projects and broader discipline programmes
Requirements
- History of heading high-stakes analytics work, from fuzzy problem statements to quantifiable results
- Experience influencing direction across a sizeable product or business area
- Advanced skill in multiple data science specialisms and the ability to define technical direction
- Ability to create clarity across organisational boundaries and resolve difficult dependencies
- Clear communication of complex ideas, assumptions and risks
- Uniformly rigorous about analysis quality, governance and repeatable results
- Credible hands-on skill with SQL and Python
Qualifications
- Familiarity with experimentation, causal inference and forecasting methods
Core Skills
Benefits
- Incentive awards tied to performance
- Yearly learning allowance of £1,000 for books, courses and conferences
- Help relocating to the UK or Spain and visa sponsorship
- Flexible working hours and part-time options where possible
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job based?
The role can be based in London or Barcelona. Distributed working around the UK is also permitted, with occasional London meetings.
What is the pay?
The posting gives a salary of £124,400 to £165,000, plus incentive awards tied to performance.
What skills are required?
The posting asks for deep expertise in several data science disciplines and working knowledge of SQL and Python.
What is the hiring process?
It includes a recruiter call, an initial call, a technical assessment, final interviews covering business fit, a case study and a technical interview. The average process takes two to three weeks.
Sample Interview Questions
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