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Data Scientist - LexisNexis Risk Solutions - Dublin

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Data Research & Analytics
💼
Risk Solutions
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LNR008BM Requisition #
Data Scientist
Dublin, Ireland
Competitive Salary

Are you looking to work in a dynamic, fast paced and ever evolving environment?  Here at LexisNexis we work with big data.  We work in the insurance and telematics area, helping our customers determine risk using large volumes of data as well as using our geospatial knowledge in some cases to enrich the data.

As a Data Scientist, you will use LexisNexis’ vast journey data and insurance claims sources to generate usage-based insurance (UBI) models and support existing telematics products. Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of prediction of insurance claim losses and as a result, increased customer profitability. The candidate will support our current product offerings and contribute to new product development by performing data normalisation, trending and forecasting, as well as statistical and predictive modelling. Will self-manage assigned tasks with little supervision. Will gain domain expertise in motor insurance, and telematics data analysis techniques.  Will present work efforts, results, and conclusions to other analytics associates, and product teams across the organisation.

Responsibilities
Analyse journey data sets with the aim of finding interesting driving patterns and relationships that could help us understand the behaviour of end-users;Analyse journey data sets with the aim of finding interesting driving patterns and relationships that could help us understand the behaviour of end-users;
Analyse journey data sets with the aim of finding interesting driving patterns and relationships that could help us understand the behaviour of end-users;
Leverage claims data sources to help identify and flag risky driving trends;
Explain complex patterns of driving behaviour using data and models in a simple manner to non-technical audience;
Design data visualisations that are clear, informative, and easy to understand by both technical and non-technical team members;
Research and implement algorithmic solutions that contribute to improved business outcomes. 

What we’re looking for
Experience in scoping, developing and implementing machine learning, regression, or scorecard-based models;
Experience in feature engineering (attribute creation & selection);
Coding in a programming language for data science – R, Python, SQL, etc.;
Experience working with large and small datasets intuitively exposing meaningful correlations;
Multi-tasking and prioritisation skills; 
Excellent communication skills as projects require extensive phone & e-mail interaction across different time zones;
A keen eye for detail, accuracy, and strong analytical skills - numerical degree preferred (MSc / PhD advantageous)

We’re a superb company to work for, with great people, great benefits, world class technology, market leading products, a culture of innovation and collaboration, and superb career prospects.

LexisNexis® has been managing sensitive data for more than 40 years, supporting 80 percent of the Fortune 500 companies and we currently do business with 8 of the world’s top 10 banks. We also have customers in more than 100 countries worldwide, providing them access to 45 billion total records from 10,000+ different sources, that are all processed through our unique HPCC Systems at over 90 million transactions per hour

LexisNexis is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, disability, religion, sexual orientation or age

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