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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 identity 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.
Learn more about the LexisNexis Risk team and how we work here
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At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: .
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The work culture at LexisNexis Risk Solutions must adhere to the Ethics of Work Culture as described in the Ethical framework of the UN Charter. You can gain more insights into their local workplace environment by exploring their jobs LexisNexis Risk Solutions and also by visiting their official website through Google.
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Yes, we found live job(s) for LexisNexis Risk Solutions in United Kingdom.
Data Scientist jobs are available in United Kingdom.
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