Marketing Scientist

Posted 4 Hours Ago
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London, Greater London, England
Hybrid
Mid level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing Fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
The Marketing Scientist will design and implement measurement frameworks, conduct incrementality tests, and analyze large datasets to provide insights that enhance marketing effectiveness across all channels. This role requires collaboration with cross-functional teams and the ability to visualize and communicate data-driven strategies.
Summary Generated by Built In

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.
As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission.

Job Description

We are looking for a highly analytical and innovative Marketing Scientist to join our Marketing Science team. Our team focuses on developing and implementing channel agnostic measurement frameworks to assess what drives growth at Wise and what we can do to accelerate this. 

In this high impact role you will contribute to projects that integrate best in class marketing mix models, attribution and incrementality testing to deliver actionable insights that drive marketing effectiveness across all channels.

Here’s how you’ll be contributing:

  • Enhance and implement measurement frameworks that assess marketing performance across all channels, to ensure data driven strategies to accelerate growth. Some examples on how you will do this are:

    • Design, implement and analyse incrementality tests to measure the true impact of marketing activity.

    • Provide alternative approaches on how to improve our marketing mix models.

    • Build elasticity curves to help marketing teams optimise and maximise their strategies.

    • Build data models for our measurement infrastructure.

  • Additionally, you will:

    • Contribute to OKR definition;

    • Analyse large datasets, identity patterns and build insights from them;

    • Create data visualisations to communicate insights to stakeholders, providing actionable recommendations.

  • In this end to end role, you will work closely with cross-functional teams, including, marketing, data science, analytics, finance and engineering to deliver on your projects. 


This role will give you the opportunity to:

  • Be part of our mission to make money without borders!

  • Play a key role in contributing to the growth of the company by enhancing the effectiveness of marketing efforts.

  • Collaborate with diverse teams such as marketing, analytics, data science, finance and engineering.

  • Work with an extensive dataset of over 16 million customers.

  • Work with cutting-edge methodologies and a modern data stack including dbt and Looker.

Qualifications


  • Strong background in statistics and marketing.

  • Experience in a similar marketing science / data science role.

  • Experience building or working with attribution models, marketing mix models and causal inference methodologies.

  • Strong analytical and problem-solving skills.

  • Ability to tell a story with data and provide actionable insights.

  • Advanced SQL and Python/R skills, and can work with complex data models.

  • Experience with data visualisation tools (Looker, Superset, etc)

Additional Information

Applications will be reviewed on 16/09/24

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.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Top Skills

Python
R
SQL
The Company
HQ: Austin, TX
6,000 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

We’re making a positive, irreversible change in the world of finance. Together.

People on every continent around the world are choosing Wise to help them live, travel and work internationally. We’re the fairest, easiest way to send money overseas.

Built by and for people who live global lives, we make sending money abroad up to 8 times cheaper than the bank. This is money without borders - instant, convenient, transparent and eventually free.

For our customers, using Wise is as simple as sending money from A to B, but behind our app and website is a complex engine of currencies and routes, that’s being designed, built and powered by our talented teams in cities around the world.

We’re just at the beginning of our story and we’re growing at an incredible pace. We won’t stop until anyone, anywhere can send, spend and receive money wherever they are, whatever they’re doing. There’s still heaps to do and we can’t do it alone.

Why Work With Us

We are a mission-driven company, looking to change banking for the better. Current banking systems don’t let us send, spend or receive money across borders easily. Or quickly. Or cheaply. So, we’re building a new one. If you're looking for an autonomous work environment, where you'll face cool challenges, learn and grow, you'll like working at Wise

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WISE Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Here at Wise we have a hybrid working model – a mix of working from home and from the office. Wisers can also work remotely for 90 days a year. By ‘remote’ we don’t just mean from home, but from wherever in the world you choose to!

Typical time on-site: 2 days a week
London, GB

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