Data Scientist

Job Description
Data Scientist - Cardiff, Wales. Hybrid
About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing,
Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com
About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and
risk.
About the Role: We are looking for a Data Scientist to conduct statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data science group.
Responsibilities
Building and testing credit and fraud risk statistical models to be used by existing and new customers
Providing complex analytical results in clear, simple messaging to evidence the value provided by our products
Following modelling best practices and provide feedback on ways to enhance current processes
Providing technical support and be a resource to internal partners in Product, Technology and Marketing teams
Researching new technologies and bring forward new ideas to the group
Supporting and help to shape our data science strategy
Requirements
Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience). Master's Degree
Be able to demonstrable experience or knowledge of applied modelling and analytics experience in applicable industry
Have good understanding of statistical methods applied to data analysis
Have user experience of R, Python or equivalent analytic software.
Have understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques
Have good written communication skills, including the ability to describe statistical results to non-statistical audiences.
Experience processing large data sets and matching/merging multiple data sets.
LexisNexis Risk Solutions is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to , , , ,
,
,
status, protected veteran status, or any other characteristic protected by law.
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