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 60000 - 80000 € 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.
Staff Data Scientist - Fraud in London employer: hackajob
Wise is an exceptional employer that champions innovation and inclusivity, making it a fantastic place for professionals in the tech industry. With a strong focus on employee growth, Wise offers opportunities to lead cutting-edge projects in fraud detection while collaborating with a diverse team of experts. Located in a vibrant environment, employees benefit from a culture that values creativity, teamwork, and the pursuit of excellence, ensuring that every team member feels empowered and respected.
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
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those related to fraud detection or data analysis. When you get the chance to chat with recruiters or during interviews, share your work to demonstrate your expertise.
✨Tip Number 3
Be ready for technical challenges! Brush up on your data science concepts and be prepared to tackle real-world problems during interviews. Practising coding challenges and case studies can help you shine when it counts.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your genuine interest in joining the Wise team. Don’t forget to tailor your application to highlight how your skills align with their mission!
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 us know what excites you about this opportunity.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise! Mention specific tools, programming languages, and methodologies you've used in your previous roles. We’re looking for someone who can lead innovation, so show us what you’ve got!
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 gives you a chance to explore more about our culture and values!
How to prepare for a job interview at hackajob
✨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
Wise values teamwork, so be prepared to talk about how you've worked with cross-functional teams in the past. Share examples of how you've collaborated with software engineers or data analysts to achieve a common goal, especially in fraud prevention.
✨Communicate Clearly
Since you'll need to explain complex data findings to non-technical stakeholders, practice simplifying your explanations. Think of ways to convey your insights clearly and concisely, perhaps using visuals or analogies that make sense to someone outside your field.
✨Demonstrate Your Leadership Skills
As a Staff Data Scientist, you'll be expected to mentor others. Prepare to discuss your leadership style and provide examples of how you've guided team members in adopting new technologies or workflows. Highlight any experience you have in driving innovation within a team.
