At a Glance
- Tasks: Lead the development of advanced machine learning models to enhance fraud detection.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
- Other info: Join a diverse team committed to innovation and inclusivity.
- Why this job: Make a real impact in safeguarding customers' finances with cutting-edge technology.
- Qualifications: Expertise in data science and machine learning, with strong collaboration skills.
The predicted salary is between 115000 - 150000 £ 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. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.
The Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud investigation team.
Our vision is:
- Build a globally scalable fraud prevention and detection engine to maintain Wise as a secure environment for our legitimate customers.
- Utilise machine learning techniques to identify potential risks associated with customer activity.
- Foster a strong partnership between our fraud investigators and the product team to develop solutions that leverage the expertise of fraud prevention specialists.
- Not only meet the requirements set by regulators and auditors but also surpass their expectations.
We are looking for a highly skilled Staff Data Scientist to lead technical innovation and drive the development of advanced data science solutions. This role is pivotal in enhancing our fraud detection capabilities and ensuring the security of our platform.
Here’s how you’ll be contributing:
- Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers.
- Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate with cross-functional teams to integrate data science solutions into Fraud prevention product offerings.
- Deploy and Integrate: Develop scalable deployment strategies together with Platform teams and integrate LLMs with AI agents for seamless production use.
- Optimise and Evaluate: Conduct large-scale training and hyper-parameter tuning, and define performance metrics to ensure high-quality model outputs.
- Data Strategy and Management: Design and implement strategies for data collection, curation, and augmentation to support robust model training.
- Documentation and Reporting: Communicate complex data findings to non-technical stakeholders effectively. Document the development and maintenance processes for models and features.
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.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Staff Data Scientist - Fraud in London employer: 慨正橡扯
Wise is an exceptional employer that champions innovation and collaboration within a diverse and inclusive work culture. As a Staff Data Scientist in our Fraud team, you will have the opportunity to lead cutting-edge projects that enhance fraud detection capabilities while enjoying competitive compensation and robust career growth opportunities. Our commitment to employee development and a supportive environment makes Wise a rewarding place to advance your career in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Scientist - Fraud in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Fraud team. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning knowledge and fraud detection techniques. Be ready to discuss how you would innovate and develop solutions for Wise's fraud prevention systems. Show us your passion for data science!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your ability to collaborate with cross-functional teams. Share examples of how you've worked with others to achieve a common goal, especially in a fast-paced environment like Wise.
✨Tip Number 4
Finally, 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. Good luck!
We think you need these skills to ace Staff Data Scientist - Fraud in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Staff Data Scientist role. Highlight your experience with machine learning, data analysis, and any relevant projects that showcase your skills in fraud detection. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about fraud prevention and how your background aligns with our goals at Wise. Be genuine and let your personality come through – we love to see enthusiasm!
Showcase Your Technical Skills:In your application, don’t forget to mention specific technologies and methodologies you’ve worked with, especially those related to machine learning and data science. We’re looking for someone who can lead technical innovation, so make sure we know what you bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there. Let’s get started on this journey together!
How to prepare for a job interview at 慨正橡扯
✨Know Your Stuff
Make sure you brush up on your machine learning techniques, especially those relevant to fraud detection like neural networks and anomaly detection. Be ready to discuss your past projects and how you've applied these techniques in real-world scenarios.
✨Show Your Collaborative Spirit
Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others. Highlight any mentoring experiences or times when you’ve promoted AI workflows within a team.
✨Prepare for Technical Questions
Expect some deep dives into your technical knowledge. Practice explaining complex concepts in simple terms, as you'll need to communicate findings to non-technical stakeholders. Think about how you would document your processes and results.
✨Emphasise Your Problem-Solving Skills
Fraud detection is all about identifying risks and finding solutions. Be ready to discuss specific challenges you've faced in previous roles and how you approached solving them. This will show your analytical thinking and innovative mindset.
