The purpose of this role is to contribute to data science projects, ensuring the scientific integrity of work products in assigned business areas. Additionally, the role involves providing data modelling and analysis support, optimizing processes through Machine Learning, and serving as a modelling and data science partner for specific business areas to enhance work products' scientific integrity.
Requirements
- Experience in producing insights from large datasets using R, Python, Spark.
- Collaborative programming project experience.
- Comfortable working in a Linux environment.
- Knowledge of Computer Science Fundamentals, Probability and Statistics, Data Modelling, Machine Learning Algorithms, Software Engineering.
Responsibilities
- Conduct exploratory data analysis to obtain insights using analytical methods and statistical techniques.
- Solve data issues to provide advice on underwriting policies and to support decision-making and improve operational efficiency.
- Provide subject matter guidance to build and deploy models, and analyse model performance.
- Collaborate with other analytics team members to size analytical opportunities and create delivery plans for positive commercial returns.
- Provide input on analytical models to drive fraud identification, recoveries, renewals, and profitable growth.
- Assist in developing commercial propositions using analytics within insurance core functions.
- Development of own knowledge of new feature sets and explore machine learning algorithms for extracting new features
Other
- Hybrid (2-3 days in the office)
- Tertiary Degree or equivalent combination of education and work experience.
- Postgraduate Degree.
- Degree qualified in econometrics, mathematics, statistics or related discipline.
- This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full-time basis without the need for current or future sponsorship.
