Back to jobs

Senior Data Scientist

Cardiff, London or Remote (UK)

Pay
Pay not listed
Work setting
Remote — work setting source
Listed location: Cardiff, London or Remote (UK)
Read the full posting
Employment
Not stated
Apply at Referrals Only

What you’ll work on

Full posting
  • Analyse user behaviour with quantitative analysis and data mining to inform product strategy

  • Initiate or help run A/B experiments to improve products

  • Work with finance on company-wide understanding of user lifetime value

  • Work with engineers to collect the right data for business insights

  • Guide product teams on measuring what matters

From the employer’s posting
Applying your expertise in quantitative analysis, data mining, and the presentation of data
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
Liaise with engineers to keep making sure we collect the right data to produce relevant business insights
Guide and enable product teams to measure things that matter

What you’ll bring

All qualifications

Core experience

  • Solid grounding in SQL
  • Experience conducting large scale A/B experiments
  • Commercially minded, able to put numbers into business perspective
  • Self-starter who identifies and tackles issues without being told

Preferred experience

  • Python skills
Qualification wording
You have solid grounding in SQL and preferably Python
You have experience in conducting large scale A/B experiments
You're commercially minded and can put numbers into business perspective
You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
preferably Python

Tools in this posting

  • Python
  • SQL
Source — Tool mentions in context
- 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

About Referrals Only

We're looking for a Senior Product Data Scientist excited to help build the bank of the future.

In the employer’s words · Read in context

Posting record

Report an error

Open 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 3, 2026 · 149 days ago
Recorded sightings
23
Last seen by us
Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

📍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

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Cardiff, London or Remote (UK)

📍London | UK remote | 💰 £80,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Hear from the team About our Data Science Team:
More source context
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
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.