Senior Data Scientist

Monzoreferrals; Deutschland; Remote; EUR 94.000 - 112.000; Vollzeit

Benefits dieser Stelle

Incentive awards

Relocation assistance

Visa sponsorship

Learning budget

Flexible hours

Zusammenfassung

Monzo is seeking a Senior Product Data Scientist to help build the bank of the future. You’ll work in a data-driven, cross-functional squad with engineers, product and design to improve user engagement in 2025 and beyond.

You’ll apply quantitative analysis, data mining, and rigorous experimentation to inform product strategy, measure impact, and drive lifetime value. Remote-friendly, UK-based with visa sponsorship and relocation support.

Qualifikationen

• Strong SQL and Python skills with data analysis experience.
• Experience conducting large scale A/B experiments.
• Ability to present data-driven insights to product teams.

Aufgaben

• Apply quantitative analysis and data mining to understand user interactions.
• Guide product teams to measure and optimize what matters; run experiments.
• Collaborate with engineers to ensure proper data collection and availability.
• Help drive a unified view of user lifetime value and profitability.

Kenntnisse

SQL

Python

A/B testing

Data storytelling

Tools

Looker

Jobbeschreibung

London | UK remote | £80,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Hear from the team

About our Data Science Team:

We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

How we hire

We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!

What you’ll be working on

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into 1 product squad alongside engineers, designers, marketers, product managers etc.

Your day-to-day

• Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
• Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
• Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

You should apply if:

What we’re doing here at Monzo excites you!

• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands‑on as taking a step back and thinking strategically
• You have a self‑starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL and preferably Python
• You have experience in conducting large scale A/B experiments

The Interview Process:

Our interview process involves three main stages:

1. Recruiter Call
2. Initial Call
3. Technical Interview
4. Final Interview including a case study and collaboration interview

Our average process takes around 2-3 weeks but we will always work around your availability.

You will have the chance to speak to our recruitment team at various points during your process.

What’s in it for you:

£80,000 to £95,000 + Incentive Awards tied to your performance + Benefits

We can help you relocate to the UK

We can sponsor visas

This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

Learning budget of £1,000 a year for books, training courses and conferences

And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work‑life balance.

#LI-NB2 #LI-Remote