Associate Statistical Modeller
LexisNexis Risk Solutions
Salary: Up to 46k EUR Competitive + Benefits
The Associate Statistical Modeller position exists to support our Product, Vertical, and Sales teams. 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 ideal candidate is adept at using current AI/ML methodologies on large data sets to meet the business need for new product development, which include, but are not limited to, performing data normalisation, trending and forecasting, as well as statistical and predictive modelling.
The incumbent will have an entry level understanding of programming/data manipulation, data mining, statistical methods, and the ability to apply these methods to solve business problems. This position performs work on one or two concurrent analytical projects with supervision and may be asked to present data-based insights to stakeholders and other internal teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business
·With supervision from senior analysts or managers, conducts data manipulation, reporting, exploratory analysis, predictive/statistical modeling, or other AI/ML techniques in support of evaluating new data sources, developing/supporting new products, and/or validating existing product performance.
·Follows analytical and programming guidelines, standards, and best practices.
·With supervision, is able to complete tasks efficiently, embrace team collaboration, and manage individual tasks for one or two concurrent analytical projects.
·Able to explain/present their work effort, results, and conclusions to their manager or other analysts and proactively ask for help/work as necessary.
·Entry level understanding of our business model and the Insurance industry, including the basic regulatory, contractual, and legal/compliance requirements.
·Bachelor's degree in mathematics, statistics, computer science, data science, or other quantitative field (or equivalent years' experience). Postgraduate degree preferred.
·Less than one year of business experience.
·Academic exposure to R, Python, SAS or equivalent analytic software.
·Academic exposure to imperative programming languages, such as Python or Java, and working knowledge of AI/ML methods a plus.
·Ability to learn quickly and communicate effectively.
·Ability to present outcomes in PowerPoint, Power BI, Tableau or other presentation packages. 7. May require some travel.
Competencies / soft skills