Job Description
The role of a data scientist involves conducting statistical analysis and building predictive models for insurance pricing, underwriting, and fraud risk. This requires experience in data mining, statistical methods, and modeling/scoring techniques.
As a member of our team, you will be responsible for balancing day-to-day analytics assignments, research experiments, and contributing to the advancement of the global data science group.
Responsibilities:
* Building and testing insurance pricing, underwriting, and fraud risk statistical models
* Consulting in support of existing and new customer sales
* Providing complex analytical results in clear, simple messaging to evidence the value provided by our products
* Following modeling best practices and providing feedback on ways to enhance current processes
* Providing technical support and being a resource to internal partners in Product, Sales, and Technology teams
* Researching new technologies and bringing forward new ideas to the group
Required Skills and Qualifications
To succeed in this role, you should have:
* A degree in computer science, mathematics, statistics, or quantitative methods (or equivalent experience)
* Mastery of applied modeling and analytics experience in applicable industry
* Good understanding of statistical methods applied to data analysis
* User experience of R, Python, SAS, SPSS, or equivalent analytic software
* Understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques
* 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
Benefits
This role offers a competitive salary and opportunities for career growth and development.
You will work with a talented team of professionals who share your passion for data science and are committed to excellence.
Others
We are an equal opportunities employer and welcome applications from candidates of all backgrounds.
If you are a motivated and detail-oriented individual who is passionate about data science, we encourage you to apply for this exciting opportunity.