Posted by Monzo is seeking Product Data Scientists to join its growing Data Science teams in the United Kingdom. The opportunity is advertised for London and supports remote working within the UK, with occasional meetings in London.
The salary ranges from £55,000 to £75,000 per year, alongside performance-related incentive awards and additional employee benefits. The employer also confirms that visa sponsorship is available and that relocation assistance to the UK can be provided.
Successful candidates will use data analysis, experimentation, and statistical techniques to help product teams understand customer behaviour and make better business decisions.
The recruitment covers several specialist areas, including Borrowing, Growth, Payments, Financial Crime, Wealth, and Core.
Job Overview
- Job Title: Product Data Scientist
- Company: Monzo
- Location: London, England, United Kingdom
- Working Arrangement: Remote within the UK or London office
- Employment Type: Full-time or Part-time arrangements may be considered
- Salary: £55,000–£75,000 per year
- Additional Compensation: Performance-related incentive awards
- Experience: Experience with large-scale A/B experiments
- Technical Skills: SQL and preferably Python
- Visa Sponsorship: Available
- Relocation: UK relocation assistance available
- Learning Budget: £1,000 per year
About the Employer
Monzo is a UK banking company focused on developing financial products that are fair, transparent, and convenient for customers.
The organisation uses data-driven decision-making across its operations and provides teams with access to analytics tools to support business and product development.
Its Data Science department works closely with engineers, designers, marketers, and product managers to understand customer behaviour and improve financial products.
Job Description
The Product Data Scientist will work within a cross-functional product team to turn data into meaningful insights that support business decisions.
The role involves analysing customer interactions, evaluating product performance, conducting experiments, and helping teams understand the financial impact of different product features.
Employees will also collaborate with engineers to ensure the organisation collects the right information for accurate reporting and analysis.
Depending on their skills and interests, successful candidates may join teams working in Borrowing, Growth, Payments, Financial Crime, Wealth, or Core.
Key Responsibilities
- Conduct quantitative analysis and data mining to understand customer behaviour.
- Present data findings in ways that support product and business decisions.
- Help product teams identify and measure important performance indicators.
- Design, support, and evaluate A/B experiments.
- Analyse the effects of product features on customer engagement.
- Work with finance teams to understand customer lifetime value.
- Assess how different product features influence profitability.
- Collaborate with engineers to improve data collection.
- Provide insights that support product strategy and development.
- Work alongside other specialists in cross-functional teams.
Qualifications and Requirements
The employer is looking for candidates with the following abilities and experience:
- Strong grounding in SQL.
- Preferably, experience with Python.
- Experience conducting large-scale A/B experiments.
- Strong quantitative and analytical skills.
- Ability to interpret data and communicate meaningful findings.
- Commercial awareness and an understanding of business performance.
- Ability to work independently and identify opportunities for improvement.
- Strategic thinking combined with practical analytical skills.
- Strong teamwork and communication abilities.
- Interest in improving products and customer experiences.
Candidates should be comfortable working with different departments and translating complex data into useful recommendations.
Salary and Benefits
The advertised salary ranges from £55,000 to £75,000 per year.
Additional compensation and benefits include:
- Performance-related incentive awards.
- £1,000 annual learning budget for books, courses, and conferences.
- Flexible working hours.
- Remote working opportunities within the UK.
- UK relocation assistance.
- Visa sponsorship.
- Additional employee benefits provided by Monzo.
The employer also indicates that part-time arrangements can be accommodated where possible.
Visa Sponsorship and Relocation
Monzo explicitly confirms that it can sponsor visas for this position.
The company also offers assistance with relocation to the United Kingdom. This makes the opportunity relevant to eligible international applicants who require employer-sponsored work authorization.
Applicants should confirm the applicable immigration requirements and sponsorship arrangements during recruitment.
Who Should Apply?
This opportunity is suitable for data professionals with strong SQL skills, analytical experience, and an interest in product development.
Candidates with experience conducting large-scale experiments, interpreting customer data, and working with cross-functional teams may be particularly suitable.
Applicants who can combine technical expertise with commercial awareness and strategic thinking are encouraged to consider the opportunity.
Frequently Asked Questions
1. Where is the Product Data Scientist job located?
The position can be based in London, England, with remote working available within the UK.
2. What is the salary range?
The advertised salary is between £55,000 and £75,000 per year, with additional performance-related incentive awards.
3. Does Monzo offer visa sponsorship?
Yes. The listing explicitly confirms that Monzo can sponsor visas.
4. Is relocation assistance available?
Yes. Monzo states that it can help successful candidates relocate to the UK.
5. What technical skills are required?
Applicants should have a solid grounding in SQL. Python is preferred.
6. Is experience with A/B testing required?
Yes. Experience conducting large-scale A/B experiments is included among the application requirements.
7. Can applicants work remotely?
Yes. The position supports distributed working within the UK, with occasional meetings in London.
8. Is part-time employment possible?
Yes. The employer states that it can accommodate part-time arrangements whenever possible.
How to Apply
Interested candidates who meet the required qualifications and experience criteria should submit their application.
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