At a Glance
- Tasks: Use data analysis and machine learning to combat fraud and boost customer profits.
- Company: Join LexisNexis Risk Solutions, a leader in risk management.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment focused on innovation and career advancement.
- Why this job: Make a real-world impact by protecting revenue and enhancing business success.
- Qualifications: Strong Python and SQL skills, with experience in fraud or risk analysis.
The predicted salary is between 50000 - 70000 £ per year.
LexisNexis Risk Solutions is looking for a data scientist to join their team in the United Kingdom. The ideal candidate will leverage data analysis and machine learning to reduce fraud losses and enhance customer profitability. In this role, you will collaborate with internal teams to implement models that protect revenue against fraud.
Key responsibilities include:
- Developing machine learning models
- Defining features to capture fraud behaviours
- Crafting presentations that deliver insights effectively
Applicants should have strong skills in Python and SQL, with experience in the fraud or risk domains.
Fraud Risk Data Scientist - Real-World Impact & ML employer: LexisNexis Risk Solutions
At LexisNexis Risk Solutions, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a real-world impact through data science. Located in the United Kingdom, we offer competitive benefits, continuous professional development opportunities, and a commitment to employee growth, making us an excellent employer for those passionate about leveraging machine learning to combat fraud and enhance customer profitability.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Risk Data Scientist - Real-World Impact & ML
✨Tip Number 1
Network like a pro! Reach out to current employees at LexisNexis Risk Solutions on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your machine learning prowess. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get together with friends or fellow data enthusiasts to do mock interviews. This will help us refine our answers and boost our confidence before the real deal.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and follow up easily.
We think you need these skills to ace Fraud Risk Data Scientist - Real-World Impact & ML
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data analysis and machine learning, especially in the fraud or risk domains. We want to see how your skills in Python and SQL can help us tackle fraud losses!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about reducing fraud and enhancing customer profitability. Share specific examples of how you've used data science to make an impact in previous roles.
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, be sure to mention them! We love seeing practical applications of your skills, especially those that relate to fraud detection.
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 to join our team!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analysis techniques and machine learning models relevant to fraud detection. Brush up on your Python and SQL skills, as you’ll likely be asked to demonstrate your proficiency during the interview.
✨Showcase Real-World Applications
Prepare examples of how you've used data science to tackle fraud or risk issues in previous roles. Be ready to discuss specific projects where your insights led to measurable outcomes, as this will highlight your practical experience.
✨Collaborate Like a Pro
Since this role involves working with internal teams, think about how you can demonstrate your teamwork skills. Prepare to discuss how you’ve collaborated with others to implement models or share insights effectively in past experiences.
✨Craft Clear Presentations
You’ll need to communicate complex data insights clearly. Practice summarising your findings in a way that’s easy to understand, and consider preparing a mini-presentation to showcase your ability to convey information effectively during the interview.
