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- Tasks: Lead data science projects to enhance customer support automation and improve user experience.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and customer satisfaction.
- Why this job: Make a real difference by improving how millions manage their money globally.
- Qualifications: Experience in data science and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
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 lives 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.
Job Description
We're looking for a Data Science Lead to join our Contact Automation team in London. This role is a unique opportunity to work on the intelligence system at the core of our contact automation system. Your work will make our system aware of the different problems our customers encounter and eventually develop the ability to help customers resolve these issues. What you build will have a direct impact on Wise's mission and millions of our customers.
About the Role:
In the Support squad we are aiming to create a system that can power an automated "Wise Assistant" system that can answer most customer questions within the chat interface effectively, as well as support our agents in answering more complex questions. To achieve our targets we need to have applied this system effectively at scale, across the large majority of our contacts working seamlessly within the chat interface. Moving money should not be difficult.
As a Data Science Lead in contact automation, your work will have a direct impact on customers - helping millions of people send and receive money across borders. Here's how you'll be contributing:
- Evaluation & Experimentation (Core Focus)
- Own the design and evolution of evaluation frameworks for LLM-based systems (both offline and online)
- Build and scale A/B testing to measure real customer impact and guide product decisions
- Define meaningful metrics that connect...
Data Science Lead - Contact Automation | London, UK employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead - Contact Automation | London, UK
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Wise. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that showcases your data science expertise, especially in contact automation. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or using online platforms. Focus on explaining your thought process clearly, especially when discussing complex data science concepts.
✨Tip Number 4
Don’t forget to 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 joining the Wise team!
We think you need these skills to ace Data Science Lead - Contact Automation | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Lead role. Highlight relevant experience and skills that align with the job description. We want to see how your background fits into our mission at Wise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about contact automation and how you can contribute to our team. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Projects: If you've worked on any relevant projects, make sure to showcase them in your application. We love seeing practical examples of your work, especially those that demonstrate your ability to solve real-world problems.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Wise
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around evaluation frameworks and A/B testing. Be ready to discuss your past projects and how you've applied these concepts in real-world scenarios. This will show that you not only understand the theory but can also implement it effectively.
✨Understand Wise's Mission
Familiarise yourself with Wise's mission and values. Think about how your role as a Data Science Lead in contact automation aligns with their goal of making money management easier for everyone. Being able to articulate this connection will demonstrate your enthusiasm and commitment to the company's objectives.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with LLM-based systems and customer impact measurement. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical team members.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help interviewers see your analytical thinking and how you approach problem-solving in a data-driven environment.