Data Scientist, Wise
Customer Understanding
£65-85k
1-5 days a week in office
Money without borders
Job no longer available
Money without borders
1001+ employees
Job no longer available
£65-85k
1-5 days a week in office
1001+ employees
Company mission
We believe in money without borders. That's why we're building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.
Role
Who you are
- You are familiar with lifetime value (LTV) modelling and econometrics/marketing mix modelling
- You have experience with Bayesian approaches to machine learning, as well as with using neural networks, ideally PyTorch
- You have a good understanding of statistics, in particular Bayesian reasoning, and can estimate how accurate your results are, but also know when to stop analysing and deliver results
- You have a good understanding of causal inference concepts and have some experience with machine learning models for causal inference
- You are familiar with a range of model types, and know when and why to use gradient boosting, neural networks, good old linear regression, or a blend of these
- You have expert knowledge of Python, and are able to make and justify design decisions in your Python code; you can throw together a REST service or a UI if need be. You’ve used external data pulled via APIs before
- You understand fundamental technologies such as Kafka and Docker, and don’t think twice about bringing up a new engine in docker-compose to have a play
- You are able to take ownership of a project and see it through from end to end, with past experience in doing so
- You are data-driven with a structural and pedantic approach. You need to be able to prioritise the value you can add, and manage your time effectively
- You see a bigger picture of business processes and can cut through vagueness to define precisely where and how a model would fit into our stack and what value it would add
- You are comfortable with visualising and communicating data to various audiences, you easily articulate and present your ideas
What the job involves
- We’re looking for a Data Scientist to join our growing Marketing Team in London. This role is a unique opportunity to have an impact on Wise’s mission, grow as a Data Scientist and help save people money
- Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world’s first platform to offer true multi-currency banking
- Your mission is to help make people aware of Wise as a solution for cross-border money needs
- You will help the Marketing tribe find the biggest opportunities for growth
- You will do this by developing predictive models to calculate Customer Lifetime Value (LTV), aiding in the prioritization of marketing efforts and resource allocation
- You will model customer behaviour data and product usage so we understand which audiences to target and how
- You will also use causal models to measure the incremental effect that CRM and Invite campaigns have on business metrics. You will use causal inference to decide which campaigns should be delivered to each user
- You will help us understand in what growth activity to invest (Marketing Mix Models)
- You will work closely with Data Analysts and you will help them understand and use models that you build (LTV or MMM models)
- Your average day will include building new models, maintaining models used by everyone in the marketing tribe, evaluating new ideas and communicating what models can tell us about how we do marketing
- This role will give you the opportunity to:
- Have a direct impact - You will closely partner with every marketing team within both Organic and Paid Acquisition and help millions of people and businesses to learn about how Wise can help them
- Work autonomously - we believe people are most empowered when they can act autonomously. So rather than telling you what to do, you’ll work with your team to create a vision of your own. Of course, you can always gather feedback from smart, curious people across Wise but you’ll have the freedom to make your own calls
- Be part of a diverse team - You will work in a team of Data scientists, Analysts and Marketeers
- Be part of our mission to make money without borders the new normal
Salary benchmarks
Our take
Wise started when the two founders realised they would be better off trading Estonian kroons for British pounds (and vice versa) between themselves rather than going through banks. That was back in 2011, and they've since grown Wise into one of Europe's most successful tech businesses, exchanging billions of currency every month.
Wise rapidly grew by solving a significant problem for customers, who lost too much money to banks when exchanging currency. Its attracted investment from some of the best investors in the world, from Andreesen Horowitz to Index Ventures and even Richard Branson.
While the market is crowded with new entrants (think Revolut and Monzo) and traditional banks trying to catch up, Wise is still staying one step ahead having recently opened a new hub in India and new payment features as well as reporting a rise in key metrics on higher volume and customer growth. This continued growth positions the company well for continued success in the future.
Freddie
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Employee endorsements
Flexible working
"I'm trusted to do my work regardless of whether I'm in the office or working from my spare room. Our mobile wiser scheme gives us the opportunity to..."
Funding (last 2 of 7 rounds)
Nov 2017
$280m
SERIES E
May 2016
$26.7m
SERIES D
Total funding: $397.1m
Company HQ
London, UK
Articles
Leadership
Taavet Hinrikus
(Co-Founder & Chairman)Previously Director of Strategy for Skype.
Kristo Käärmann
(Co-Founder & CEO)Previously a Consultant at PwC and Manager at Deloitte.
People progressing
Joined as Banking Lead, promoted to Head of Banking after 2 years, then again to Global Head of Banking and Chief Banking and Expansion Officer.
Diversity, Equity & Inclusion at Wise
- Communities and safe spaces (Employee Resource Groups) – led by our Wisers so people can share experiences and information, support each other and connect on shared values
- Wise Cultural Calendar – a programme to learn and celebrate the wide range of cultures, traditions, backgrounds, and global experiences we have here at Wise. Example programmes include Pride Summer and Black History Month
- Our teams continue to set and drive their own bespoke objectives, holding themselves accountable and making sure they focus efforts where they can have the most impact
- We’re excited to partner with InChorus to collect ongoing data on our culture and enable teams to track their progress
- DEI development and training — We’re building our capability and getting everyone on the same page about DEI. Our new training programme will help new joiners and all Wisers know what DEI looks like day-to-day and how they can play their part
- Global policy review — We’re working with an external advisor to provide detailed feedback on best practices in policies by end January
- Disability inclusion – We’re building resources and support for Wisers and candidates with disabilities. Our goals is to offer practical information and support to ensure that Wise remains an inclusive environment for those impacted by a disability
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