At a Glance
- Tasks: Lead data-driven marketing strategies and develop predictive models for customer insights.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Autonomy in your role, diverse team culture, and impactful work.
- Other info: Join a diverse team committed to inclusivity and career growth.
- Why this job: Make a real difference in how people manage their money across borders.
- Qualifications: Experience in data science and 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.
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 develop 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 help them understand and use the models 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 learn about how Wise can help them.
- Work autonomously – We believe people are most empowered when they can act autonomously. You’ll work with your team to create a vision of your own and have the freedom to make your own calls.
- 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.
Additional Information
We are building money without borders – without judgement or prejudice. 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 toward 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.
Lead Data Scientist - Marketing employer: Wise
Wise is an exceptional employer that champions autonomy and diversity, providing Lead Data Scientists with the opportunity to make a significant impact on global marketing strategies. With a commitment to inclusive work culture and career progression, employees are empowered to innovate and collaborate within a vibrant team dedicated to transforming cross-border money management. Located in a dynamic environment, Wise offers a unique chance to contribute to a mission that resonates on a global scale.
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 current employees at Wise on LinkedIn. A friendly message can go a long way in getting your foot in the door. Plus, they might share insider tips about the interview process!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data modelling expertise and marketing insights. When you get the chance to chat with the team, having concrete examples ready will make you stand out.
✨Tip Number 3
Be ready for a challenge! Expect technical questions or case studies during interviews. Brush up on your predictive modelling techniques and be prepared to discuss how you’d tackle real-world marketing problems at Wise.
✨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 mission. Don’t miss out!
We think you need these skills to ace Lead Data Scientist - Marketing
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 grow and make money without borders the new normal.
Showcase Your Data Skills:We want to see your data prowess! Include any relevant projects or experiences where you've built models or worked with customer behaviour data. This will help us understand your fit for the role.
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
✨Know Your Data Inside Out
As a Lead Data Scientist, you'll be expected to have a deep understanding of data modelling and predictive analytics. Brush up on your knowledge of Customer Lifetime Value (LTV) and Marketing Mix Models (MMM). Be ready to discuss how you've applied these concepts in previous roles and the impact they had on marketing strategies.
✨Showcase Your Collaborative Spirit
This role involves working closely with Data Analysts and Marketeers. Prepare examples of how you've successfully collaborated with cross-functional teams in the past. Highlight your ability to communicate complex data insights in a way that’s easy for non-technical team members to understand.
✨Demonstrate Your Autonomy
Wise values autonomy, so be prepared to share instances where you took initiative in your previous roles. Discuss how you’ve developed your own vision for projects and the outcomes of those efforts. This will show that you can thrive in an environment where you're empowered to make decisions.
✨Embrace Diversity and Inclusion
Wise prides itself on having a diverse and inclusive team. Familiarise yourself with their values and be ready to discuss how you can contribute to a positive team culture. Share experiences where you’ve worked in diverse teams and how it enhanced your work or the project outcomes.
