Data Scientist - Cardiff, United Kingdom - LexisNexis Risk Solutions

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, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.

You can learn more about LexisNexis Risk at the link below, 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 customersProviding complex analytical results in clear, simple messaging to evidence the value provided by our productsFollowing modelling best practices and provide feedback on ways to enhance current processesProviding technical support and be a resource to internal partners in Product, Technology and Marketing teamsResearching new technologies and bring forward new ideas to the groupSupporting and help to shape our data science strategyRequirementsHave degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience).

Master's DegreeBe able to demonstrable experience or knowledge of applied modelling and analytics experience in applicable industryHave good understanding of statistical methods applied to data analysisHave user experience of R, Python or equivalent analytic software.

Have understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniquesHave 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.