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, https://risk.lexisnexis.com
About The Role
The Data Science Rotational Programme (DSRP) role will be to conduct statistical analysis, create insights and build predictive models for a variety of performance outcomes, such as risk of claims, cancellation and fraud. You will work with a team of other data scientists and should be comfortable working in a collaborative environment, as well as working independently and taking initiative.
The DSRP role will last 18 months and upon completion you will move full time into one of our core data science teams. The rotational aspect of the programme will allow you to work across various sub teams including motor, home, vehicle build & telematics.
Individuals in this role will provide support to the Data Science team while developing and advancing their analytic skills and team capabilities. Support will consist of data collection, manipulation, and model development to learn team best practices.
This is an exciting opportunity to join a FTSE 100 company as a data scientist that offers excellent benefits, a good work/ life balance and affording terrific career prospects. The position is based out of our Dublin office in Rockfield Dundrum. LexisNexis have transitioned to a hybrid work environment with the option to work from home 2-3 days a week.
Responsibilities
* Work closely with your mentor to improve your coding/analytic skills, domain knowledge and gain a strong knowledge of our current processes
* Analyse insurance and policy data on an array of projects
* Conduct statistical analysis and apply machine learning algorithms
* Present analysis and findings to internal and external stakeholders
Requirements
* Good experience using Python, R or similar software package (includes undergraduate experience).
* Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Physics, Economics or equivalent quantitative methods, MSc in similar field an advantage.
* A firm understanding of data manipulation, statistical methods, and modelling techniques. Some experience of these through project work, internships or Kaggle competitions would be preferred but not required.
* Experience data pre-processing, creating insights and modelling (includes undergraduate experience).
* Working knowledge of statistical analysis methodologies such as GLMs, Decision Trees, PCA, etc.
* Basic knowledge of Excel, PowerPoint and Word.
* Excited about analysing data and eager to improve with ability to work independently and collaboratively
* High attention to detail and ability to learn quickly and communicate effectively
Learn more about the LexisNexis Risk team and how we work
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