Data Scientist - Customer Understanding

TN United Kingdom; London; On-site; GBP 40,000 - 80,000

Job description

Data Scientist - Customer Understanding, London

Client:

Wise

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

14c4526d3d5d

Job Description:

Company Description

Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money.

Job Description

Data Scientist - Marketing

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, grow as a Data Scientist, and help save people money.

Your mission:

Wise has already pioneered new ways for people to transfer money across borders and currencies. Your mission is to help make people aware of Wise as a solution for cross-border money needs.

Here’s how you’ll be contributing to Marketing

1. You will help the Marketing tribe find the biggest opportunities for growth.
2. You will do this by developing predictive models to calculate Customer Lifetime Value (LTV), aiding in the prioritization of marketing efforts and resource allocation.
3. You will model customer behaviour data and product usage so we understand which audiences to target and how.
4. You will use causal models to measure the incremental effect that CRM and Invite campaigns have on business metrics.
5. You will help us understand in what growth activity to invest (Marketing Mix Models).
6. You will work closely with Data Analysts and help them understand and use models that you build (LTV or MMM models).
7. 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:

1. Have a direct impact - You will closely partner with every marketing team within both Organic and Paid Acquisition.
2. Work autonomously - we believe people are most empowered when they can act autonomously.
3. Be part of a diverse team - You will work in a team of Data scientists, Analysts and Marketeers.
4. Be part of our mission to make money without borders the new normal.

Qualifications

About you:

1. You are familiar with lifetime value (LTV) modelling and econometrics/marketing mix modelling.
2. You have experience with Bayesian approaches to machine learning, as well as with using neural networks, ideally PyTorch.
3. You have a good understanding of statistics, in particular Bayesian reasoning, and can estimate how accurate your results are.
4. You have a good understanding of causal inference concepts and have some experience with machine learning models for causal inference.
5. You are familiar with a range of model types and know when to use gradient boosting, neural networks, or linear regression.
6. You have expert knowledge of Python and can justify design decisions in your Python code.
7. You understand fundamental technologies such as Kafka and Docker.
8. You are able to take ownership of a project and see it through from end to end.
9. You are data-driven with a structural and pedantic approach.
10. You see a bigger picture of business processes and can define precisely where and how a model would fit into our stack.
11. You are comfortable with visualising and communicating data to various audiences.

Additional Information

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.