At a Glance
- Tasks: Use machine learning to boost fraud detection and analyse data for enterprise clients.
- Company: Join LexisNexis Risk Solutions, a leader in risk management.
- Benefits: Enjoy health screening, a pension scheme, and more perks.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Make a real difference in fraud prevention while working with cutting-edge technology.
- Qualifications: Experience in fraud, risk, or payments; skilled in Python and SQL.
The predicted salary is between 45000 - 60000 £ per year.
LEXISNEXIS RISK SOLUTIONS UK LIMITED T/a LexisNexis Risk Solutions Group is looking for a Data Scientist in Milton Keynes. This role focuses on machine learning and data analysis to enhance fraud detection capabilities for enterprise customers, collaborating with product teams and external business leaders.
Candidates should have experience in fraud, risk, or payments along with proficiency in Python and SQL.
The position offers generous benefits including health screening and a contributory pension scheme.
Fraud Risk Data Scientist - Real-Time ML & Impact employer: LEXISNEXIS RISK SOLUTIONS UK LIMITED T/a LexisNexis Risk Solutions Group
At LexisNexis Risk Solutions, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. Located in the vibrant city of Milton Keynes, we offer competitive benefits such as health screening and a contributory pension scheme, alongside ample opportunities for professional growth in the dynamic field of fraud detection and machine learning. Join us to make a meaningful impact while advancing your career in a supportive environment.
Contact Details:
LEXISNEXIS RISK SOLUTIONS UK LIMITED T/a LexisNexis Risk Solutions Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Risk Data Scientist - Real-Time ML & Impact
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We think you need these skills to ace Fraud Risk Data Scientist - Real-Time ML & Impact
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
