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For Companies At a Glance
- Tasks: Use data analysis to drive product strategy and improve user experiences.
- Company: Join Monzo, a forward-thinking bank on a mission to simplify finance for everyone.
- Benefits: Competitive salary, stock options, flexible hours, and a £1,000 learning budget.
- Why this job: Make a real impact in a dynamic environment while shaping the future of banking.
- Qualifications: Experience in SQL, Python, and A/B testing; strong analytical and teamwork skills.
- Other info: Remote work within the UK with opportunities for career growth and development.
The predicted salary is between 80000 - 95000 £ per year.
Monzo is on a mission to make money work for everyone, eliminating complicated and confusing traditional banking. Starting as a prepaid card, we now offer personal and business bank accounts, joint accounts, youth accounts, a free kids account, credit cards, savings, investments and pension integration. Our hot coral cards, get‑paid‑early feature, financial education and award‑winning customer service create magical moments for customers. We’re not about selling products – we solve problems and change lives.
Location: London, UK (remote within the UK).
Salary: £80,000‑£95,000 + stock options + benefits.
Your Day‑to‑Day
- Apply quantitative analysis, data mining and data presentation to understand user interactions and inform product strategy.
- Guide product teams to measure critical metrics and design or run A/B experiments to drive continuous improvement.
- Collaborate with finance to unite a company‑wide view of user lifetime value and the impact of product features on profitability.
- Work with engineers to guarantee the right data is collected for relevant business insights.
You Should Apply If
- You are impact‑driven and eager to make positive change for the company, product, users and colleagues.
- You are commercially minded and translate numbers into business perspectives.
- You balance hands‑on work with strategic thinking.
- You are a self‑starter who proactively identifies issues and opportunities.
- You’re a reliable team player.
- You have solid grounding in SQL and preferably Python.
- You have experience conducting large‑scale A/B experiments.
The Interview Process
- Recruiter call
- Initial call
- Technical interview
- Final interview, including a case study and collaboration interview
Process typically takes 2‑3 weeks but we accommodate your availability.
What’s In It For You
- £80,000‑£95,000 + stock options + benefits
- Relocation assistance to the UK
- Visa sponsorship (if required)
- London office or distributed within the UK with occasional London meetings
- Flexible working hours
- £1,000 annual learning budget for books, training and conferences
- Opportunity for part‑time work if needed
Equal Opportunities
Monzo is an equal opportunity employer. We value diversity and inclusion, fostering an inclusive environment for all employees. We do not consider age, ethnicity, religion, sex, sexual orientation, gender identity, parental status, national origin, veteran, neurodiversity or disability status. Preference for name usage is respected.
Senior Data Scientist employer: Monzo Bank
Contact Detail:
Monzo Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Monzo on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the technical interview by brushing up on your SQL and Python skills. We recommend doing some mock interviews or coding challenges to get comfortable with the types of questions you might face.
✨Tip Number 3
Showcase your impact-driven mindset during interviews. Share specific examples of how you've used data to drive positive change in previous roles. This will resonate well with Monzo's mission!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight your experience with SQL, Python, and A/B testing, and show how your skills align with Monzo's mission to make money work for everyone.
Show Your Impact: We love seeing how you've made a difference in your previous roles. Use specific examples to demonstrate how your data analysis has driven product strategy or improved user experiences. Numbers speak volumes!
Be Authentic: Let your personality shine through in your application. We’re looking for self-starters who are eager to make positive changes. Share your passion for data science and how it connects to our mission at Monzo.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and keep track of your application. Plus, it shows you’re serious about joining our team.
How to prepare for a job interview at Monzo Bank
✨Know Your Numbers
As a Senior Data Scientist, you'll need to demonstrate your ability to translate data into actionable insights. Brush up on key metrics relevant to Monzo's business model, like user lifetime value and A/B testing results. Be ready to discuss how you've used data to drive product strategy in your previous roles.
✨Show Your Impact-Driven Mindset
Monzo is all about making positive changes. Prepare examples of how your work has led to significant improvements or solved real problems. Think about times when you identified issues proactively and how your contributions made a difference to your team or the company.
✨Collaborate Like a Pro
Collaboration is key at Monzo. Be prepared to discuss how you've worked with cross-functional teams, especially with engineers and finance. Highlight any experiences where you successfully united different perspectives to achieve a common goal, particularly in data collection and analysis.
✨Master the Technical Side
Since the role requires solid grounding in SQL and preferably Python, make sure you're comfortable discussing your technical skills. Prepare to tackle technical questions or even a coding challenge during the interview. Practise explaining complex concepts in simple terms, as this will showcase your communication skills.
