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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, Identity 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, consulting in support of existing and new customer sales
- 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, Sales and Technology 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, SAS, SPSS 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 race, colour, religion, gender, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.
