Lead Data Scientist - Marketing

Lead Data Scientist - Marketing

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop predictive models to drive marketing growth and customer insights.
  • Company: Join Wise, a global tech leader revolutionising money management.
  • Benefits: Enjoy autonomy, diverse teams, and the chance to make a real impact.
  • Other info: Work in an inclusive environment with excellent career progression opportunities.
  • Why this job: Be part of a mission to make money without borders the new normal.
  • Qualifications: Experience in data science and a passion for marketing analytics.

The predicted salary is between 70000 - 90000 £ per year.

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 lives easier and save them money.

Your mission: 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.

Here’s how you’ll be contributing to Marketing:

  • You will help the Marketing tribe find the biggest opportunities for growth.
  • You will help us understand in what growth activity to invest (Marketing Mix Models) and how to reduce the uncertainty on marketing measurement.
  • 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 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 and why we grow.

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 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.
  • 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.

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.

Lead Data Scientist - Marketing employer: Wise Australia Investments

Wise is an exceptional employer that champions a culture of autonomy and inclusivity, empowering employees to make impactful decisions in their roles. As a Lead Data Scientist in Marketing, you will collaborate with a diverse team, driving innovative solutions that enhance customer experiences while enjoying opportunities for professional growth in a dynamic, global environment. With a commitment to making money management accessible for everyone, Wise offers a unique chance to contribute to a meaningful mission while developing your career.

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Contact Details:

Wise Australia Investments Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Scientist - Marketing

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at Wise. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your data science projects, especially those related to marketing. This will give you an edge during interviews.

Tip Number 3

Practice makes perfect! Get ready for those technical interviews by brushing up on your modelling techniques and customer behaviour analysis. We want to see how you think!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of our mission at Wise.

We think you need these skills to ace Lead Data Scientist - Marketing

Predictive Modelling
Customer Lifetime Value (LTV) Calculation
Marketing Mix Models (MMM)
Data Analysis
Customer Behaviour Modelling
Resource Allocation
Communication Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with predictive modelling and customer behaviour analysis, as these are key for us at Wise. We want to see how your skills align with our mission!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data science and marketing, and explain how you can contribute to our growth at Wise. Be genuine and let your personality come through – we love that!

Showcase Relevant Projects:If you've worked on projects related to Marketing Mix Models or Customer Lifetime Value, make sure to showcase them in your application. We’re keen to see real examples of your work and how they can help us achieve our goals.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!

How to prepare for a job interview at Wise Australia Investments

Know Your Data Inside Out

As a Lead Data Scientist, you'll be expected to have a deep understanding of data modelling and customer behaviour. Brush up on your predictive modelling techniques and be ready to discuss how you've applied them in past roles. Prepare examples that showcase your ability to derive insights from complex datasets.

Understand the Marketing Mix

Since you'll be working closely with marketing teams, it's crucial to understand the Marketing Mix Models (MMM). Familiarise yourself with how these models work and be prepared to discuss how you would apply them to identify growth opportunities for Wise. Show that you can bridge the gap between data science and marketing strategy.

Showcase Your Collaborative Spirit

Wise values teamwork, so highlight your experience working with cross-functional teams. Be ready to share examples of how you've collaborated with data analysts and marketers in the past. Emphasise your ability to communicate complex data concepts in a way that's accessible to non-technical team members.

Demonstrate Your Autonomy

This role offers a lot of freedom, so be prepared to discuss how you take initiative in your work. Share instances where you've independently driven projects or made decisions that positively impacted your team. Show that you're not just a data expert, but also a proactive problem solver who can thrive in an autonomous environment.