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- Tasks: Enhance fraud detection using advanced data analysis and machine learning.
- Company: Join LexisNexis Risk Solutions, a leader in risk management.
- Benefits: Generous holiday allowance, health screening, and pension scheme.
- Other info: Collaborative team environment analysing billions of transactions monthly.
- Why this job: Make a real impact in fraud prevention for major industries.
- Qualifications: Proficient in Python and SQL with a passion for data science.
The predicted salary is between 50000 - 70000 £ per year.
LexisNexis Risk Solutions is looking for a Data Scientist to enhance fraud detection using advanced data analysis and machine learning. With extensive experience in Python and SQL, the successful candidate will implement innovative solutions that reduce fraud losses and improve profitability for clients in Financial Services, Insurance, and e-Commerce.
You will work within a collaborative team environment, utilizing a real-time platform that analyzes billions of transactions monthly.
Benefits include a generous holiday allowance, health screening, and a pension scheme.
Real-Time Fraud & Risk Data Scientist (Python/SQL) in London employer: LexisNexis Risk Solutions
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time Fraud & Risk Data Scientist (Python/SQL) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the fraud detection and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for the industry.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've used them in real-world scenarios. We want to see your problem-solving skills in action, so think of examples that highlight your experience with data analysis and machine learning.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant projects or have a portfolio, make sure to share it. This is your chance to demonstrate your innovative solutions and how they can reduce fraud losses, which is exactly what LexisNexis is looking for.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t miss out on the opportunity to join a collaborative team that’s making a difference in fraud detection!
We think you need these skills to ace Real-Time Fraud & Risk Data Scientist (Python/SQL) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, especially in fraud detection or data analysis.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to the job description. Mention specific projects or experiences that relate to enhancing fraud detection and working with large datasets.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your achievements stand out!
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 shows us you’re keen on joining our team!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, and think about how you can apply them to enhance fraud detection in a real-time environment.
✨Understand the Industry
Familiarise yourself with the financial services, insurance, and e-commerce sectors. Knowing the common fraud patterns and challenges these industries face will help you demonstrate your understanding of the role and how you can contribute to reducing fraud losses.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex data problems in the past. Use examples that highlight your analytical thinking and innovative solutions, especially those that led to measurable improvements in fraud detection or risk management.
✨Be Ready for Team Collaboration Questions
Since you'll be working in a collaborative team environment, think about times when you've successfully worked with others. Be prepared to share examples of how you communicated effectively and contributed to team goals, particularly in high-pressure situations.