Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and maintain analytic products, collaborate with teams, and mentor junior members.
- Company: Join Featurespace, a dynamic part of Visa focused on combating fraud with innovative solutions.
- Benefits: Enjoy a fun team environment, opportunities for growth, and the chance to make a real impact.
- Why this job: Be part of a mission-driven company that values creativity and excellence in tackling fraud challenges.
- Qualifications: Experience in data science, strong analytical skills, and a passion for problem-solving are essential.
- Other info: Opportunity to lead projects and shape the future of fraud prevention technology.
The predicted salary is between 43200 - 72000 £ per year.
In your role as Senior Data Scientist, you will help us achieve our goals and deliver success on behalf of our customers by: Developing and maintaining end-to-end analytic products within our Solutions, including data schemas, advanced statistical models, reporting configuration, and documentation. Collaborating across the organization with commercial, product, delivery, and engineering teams to identify opportunities, share insights, and develop products. We value adaptability, so you may be asked to take on additional duties as required. Interacting with internal and external users to understand their problems and sharing insights with the team. Working with Product Managers and team members to prioritize high-value tasks. Coordinating work across multiple teams and taking on \’tech lead\’ responsibilities when needed. Identifying risks and validating assumptions before development. Processing and modeling large customer datasets end-to-end. Leading the deployment and maintenance of statistical models and algorithms. Testing analytical models and their integration within Featurespace platforms. Ensuring comprehensive documentation accompanies analytics products, including reports, presentations, and visualizations. Measuring and improving outcomes related to analytic products. Supporting delivery teams with analytic products. Communicating insights effectively to both technical and non-technical colleagues. Promoting the benefits of analytic products within Featurespace. Participating in recruiting Data Scientists for the team. Improving team processes and contributing to future team strategy. Mentoring junior team members and managing workloads to ensure high-quality output. Developing a strong understanding of the fraud and financial crime industries. At Visa, we are passionate about making a difference. We lead the way in disrupting fraud from multiple vectors. In this role, you will join an exciting, innovative business new to the Visa family. At Featurespace, we aim to be the world\’s best software company at protecting our clients and their customers from fraud attacks. We foster an innovative, fun, and positive team environment where everyone can contribute to solving our clients\’ problems in new ways. We strive for excellence and making our customers smile. #J-18808-Ljbffr
Senior Data Scientist employer: Visa
Contact Detail:
Visa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in data science, especially those related to fraud detection and financial crime. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with current or former employees of StudySmarter or Featurespace on platforms like LinkedIn. Engaging in conversations can provide you with valuable insights about the company culture and expectations, which can be a great advantage during the interview process.
✨Tip Number 3
Prepare to discuss specific projects where you've developed end-to-end analytic products. Be ready to explain your thought process, the challenges you faced, and how you collaborated with different teams to achieve success.
✨Tip Number 4
Showcase your ability to communicate complex data insights to both technical and non-technical audiences. Practising this skill can set you apart, as effective communication is key in a collaborative environment like ours.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in developing analytic products and working with large datasets. Use specific examples that demonstrate your ability to collaborate across teams and lead projects.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with the mission of Featurespace. Mention your adaptability and willingness to take on additional duties, as well as your experience in mentoring and leading teams.
Showcase Technical Skills: Clearly outline your technical skills related to statistical modelling, data processing, and analytics tools. Include any relevant certifications or training that would make you a strong candidate for the Senior Data Scientist role.
Demonstrate Problem-Solving Abilities: Provide examples in your application that showcase your problem-solving skills, especially in understanding user needs and delivering insights. Highlight any experience you have in the fraud and financial crime industries, as this is particularly relevant to the role.
How to prepare for a job interview at Visa
✨Showcase Your Technical Skills
As a Senior Data Scientist, you'll need to demonstrate your expertise in developing and maintaining analytic products. Be prepared to discuss specific projects where you've built data schemas or statistical models, and highlight any tools or programming languages you used.
✨Emphasise Collaboration
Collaboration is key in this role. Share examples of how you've worked with cross-functional teams, such as product managers or engineers, to identify opportunities and develop solutions. This will show your ability to communicate effectively with both technical and non-technical colleagues.
✨Demonstrate Adaptability
The job description mentions adaptability as a valued trait. Prepare to discuss situations where you've taken on additional responsibilities or adjusted to changing priorities. This will illustrate your flexibility and willingness to contribute to the team's success.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, especially related to fraud and financial crime. Think of scenarios where you've identified risks or validated assumptions before development, and be ready to explain your thought process and outcomes.
