Senior Data Scientist User Experience at Monzo

We're looking for a Senior Data Scientist excited to help us revolutionise the way people manage their finances - understand how our customers use Monzo, and what we can do to better meet their needs. This person will help us improve discrete experiences, amplify the value we already provide for a new set of users, or identify totally new product opportunities. If you get excited about evaluating an experience, collaborating with multi-disciplinary teams and setting a product-wide strategy, this might be for you.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over five 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.
We have a strong culture of data-driven decision making across the whole company - and want to embed this further into User Research, using quantitative and qualitative methods to drive how we hypothesise and improve about product development, growth hacking, and ongoing customer engagement.
As part of your role, you'll:


Identify opportunities for improving our user experience. To do this you’ll collect and analyse behavioural, experiment and survey data and support others to do the same.


Build new systems that help us better understand our user experience. You’ll create data pipelines to ensure we’re leveraging the wealth of data across monzo for research purposes, and identifying the metrics that will help us measure the usability of our product. You’ll work with others to put them in place where those metrics aren’t yet captured in the right ways.


Identify the root causes of wider customer experience issues.  You’ll work with multi-disciplinary teams to bring together not just app data but brand insights, app reviews, satisfaction ratings and customer service data.


Using your view of the whole product, you’ll shine a light on the most important parts of the user experience for us to improve. To do that you’ll work with Product Managers, Product Designers, Marketeers, Engineers, Customer Operations and User Researchers and Data Scientists.


What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
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 basic SQL skills that allow you to write custom queries for data analysis
You have experience in conducting large scale A/B experiments
You’re customer oriented. You’ve analysed customer segments, discovered new opportunities, tracked goals or defined target user lists for surveys and you have an understanding of basic statistical concepts like statistical significance.
You bring people together. You collaborate with others to build shared understanding and prioritise actionable insights to get work on the roadmap.

Nice to haves:

You’ve helped companies tailor their products to different user groups by segmenting customers
You have experience improving customer metrics like Net Promoter Score and Customer Effort Scores

Our Process

Initial call with a Monzo Recruiter (30 min)
Initial call with a User Researcher or Data Scientist (30 min)
Task you can choose to take home or do as part of your “on-site” interview (30 mins)
Virtual "on-site" interview with 2-3 folks from User Research, Design, Data or Product teams
No brain teasers or trick questions!

Logistics

We can help you relocate to London & we can sponsor visas.
This role can be based in our London office or remotely within the UK
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.

Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog
Equal Opportunity Statement

At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone.
We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.

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