Responsibilities
- Lead the creation of advanced analytics solutions to help us drive profitability and growth by optimizing resources and pricing.
- wn the end-to-end development of the data analytics products : data exploration, modeling and model deployment.
- Develop company A / B testing frameworks and test model quality.
- Understand and combine data from various sources to create analytics data sets.
- Introduce new methodologies, algorithms, tools, and technologies to solve problems.
- Collaborate with multiple teams (e.g., Applied AI, Claims, Underwriting, IT) to achieve objectives.
- Become a trusted partner for the stakeholders in topics related to data and analytics (i.e., translating data insights into business decisions / actions).
- Communicate and present findings or data science projects / achievements to non-technical audiences.
- Support ad-hoc business requests which require statistical analysis.
- Provide training guidance and assistance to colleagues.
Qualifications
Bachelor's degree, preferably in Statistics, Mathematics, Actuarial Science, Analytics, Engineering or Computer Science.
An advanced degree in Statistics or Predictive Analytics is strongly preferred.
Requirements
- 4+ years of advanced analytics experience.
- Experience with Excel is required.
- Experience with programming and statistical packages (Python, R).
- Experience in data management (SQL).
- Knowledge of advanced analytics techniques.
- Good Problem-Solving skill is a must.
- Communication to different audiences (operations and senior leadership).
- Experience in designing and building data science products that influence the business decision-making process.
- Comprehensive analytics assessments that will help the business leaders to identify and prioritize actions that will help the business to grow in volume and in profitability.
- Translate data driven insights into business decisions and actions.