At a Glance
- Tasks: Develop predictive models to drive marketing growth and customer insights.
- Company: Join Wise, a global tech company 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 cross-border money transfers easier for everyone.
- 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.
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 in London employer: Wise Australia Investments
Wise is an exceptional employer that champions autonomy and diversity, allowing employees to make impactful contributions to our mission of transforming global money management. With a strong focus on employee growth, you will collaborate with a talented team of Data Scientists and Marketers, gaining invaluable experience while working in a vibrant, inclusive environment that celebrates unique perspectives. Join us in making money without borders the new normal, and enjoy the freedom to innovate and drive meaningful change.
Contact Details:
Wise Australia Investments Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - Marketing in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn and ask them about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨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 help you stand out during interviews and show how you can contribute to Wise's mission.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your predictive modelling skills and customer behaviour analysis. We want to see how you think and solve problems, so be prepared to showcase your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Wise team and our mission to make money without borders.
We think you need these skills to ace Lead Data Scientist - Marketing in London
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 marketing measurement, as these are key to what we’re looking for at Wise.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re passionate about our mission at Wise. Share specific examples of how your skills can help us make money without borders the new normal.
Showcase Your Data Skills:We want to see your data prowess! Include examples of models you've built or projects where you've used data to drive marketing decisions. This will help us understand your approach and expertise.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Wise Australia Investments
✨Know Your Models
Make sure you’re well-versed in the predictive models relevant to the role, like Customer Lifetime Value (LTV) and Marketing Mix Models (MMM). Be ready to discuss how you've used these models in past projects and how they can drive growth for Wise.
✨Understand the Marketing Landscape
Familiarise yourself with Wise's marketing strategies and how data science plays a role in them. Research their current campaigns and think about how your skills can enhance their efforts. This shows you're proactive and genuinely interested in their mission.
✨Showcase Collaboration Skills
Since you'll be working closely with Data Analysts and Marketeers, prepare examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex data insights in an understandable way, as this will be crucial for the role.
✨Embrace Autonomy
Wise values autonomy, so be prepared to discuss how you’ve taken initiative in previous roles. Share specific instances where you’ve developed your own vision or strategy and how it positively impacted your team or project.