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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) 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)
✨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
Showcase your skills! Create a portfolio of projects that highlight your Python and SQL expertise. Use real-world datasets to demonstrate how you can tackle fraud detection challenges, and don’t forget to share it during interviews!
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning concepts and algorithms. Practice coding challenges related to data analysis and fraud detection to ensure you're ready to impress when it counts.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your skills align with our mission to enhance fraud detection and improve profitability for our clients.
We think you need these skills to ace Real-Time Fraud & Risk Data Scientist (Python/SQL)
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! Customise your application to reflect 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 straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and what you can bring to our team.
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’s super easy!
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.
✨Understand the Business Context
Familiarise yourself with the financial services, insurance, and e-commerce sectors. Knowing how fraud impacts these industries will help you demonstrate your understanding of the role and how your work can make a difference.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-time data challenges during the interview. Practice explaining your thought process clearly and concisely, as this will showcase your analytical skills and ability to work under pressure.
✨Show Your Collaborative Spirit
Since you'll be working in a team environment, be prepared to discuss your experience collaborating with others. Share examples of how you've contributed to team success and how you handle feedback and differing opinions.