Marketing Scientist, Wise

£60-75k

SQL
Python
Looker
R
dbt
Mid and Senior level
London

1-5 days a week in office

Wise

Money without borders

Be an early applicant

Wise

Money without borders

1001+ employees

FintechB2CB2BPersonal financePaymentsForeign exchange

Be an early applicant

£60-75k

SQL
Python
Looker
R
dbt
Mid and Senior level
London

1-5 days a week in office

1001+ employees

FintechB2CB2BPersonal financePaymentsForeign exchange

Company mission

We’re on a mission. And it’s money without borders. Instant, convenient, transparent and — eventually — free.

Role

Who you are

  • 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)

What the job involves

  • 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
  • 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
  • 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

Application process

  • Applications will be reviewed on 16/09/24

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. They've attracted investment from some of the best investors in the world, from Andreesen Horowitz to Index Ventures and even Richard Branson.

The challenge for Wise will be maintaining their edge and brand power in a market that's becoming increasingly crowded with new entrants (like Revolut and Monzo) and incumbents (traditional banks) trying to catch up. To do so, the company is ramping up its digital and marketing strategies, as well as pushing for further development of its existing products.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Many candidates hear
back within 2 weeks

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

$26m

SERIES D

Total funding: $396.4m

Company benefits

  • Medical Insurance
  • Health and Wellbeing Discounts
  • 25 days holiday (excl. bank holidays) + 3 Me Days
  • RSUs (Restricted Stock Units)
  • 6 Week Paid Sabbatical
  • Mobile Wiser - work remote for up to 90 days a year 🛫
  • Parental Leave
  • Pension and Retirement Plans
  • Plus Many More!

Company values

  • This isn’t just a job, we’re a revolution
  • We get it done
  • Customers > team > ego
  • No drama. Good karma.

Company HQ

London, UK

Leadership

Taavet Hinrikus

(Chairman)

Previously Director of Strategy for Skype.

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.

Diversity & 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

Share this job

View 61 more jobs at Wise