Main Responsibilities
- Being part of a team of data scientists to build, deploy and monitor AI/ML models to generate values for the business.
- Manage key stakeholders’ expectations, set project directions, timeline, and deliverables.
- Ideate and design solutions for process re-engineering to embed the AI/ML model into business processes.
- Experimental design to attribute value contribution of data science models.
- Research and development on new tools and evaluate bringing it into client’s tech stack.
- Create a high-performing team culture and keep up to date with latest developments in data science.
Qualifications & Experience
- Bachelor’s degree or above in Statistics, Computer Science, Mathematics, Business Analytics, Economics, or relevant fields.
- Masters in Statistics or any quantitative analytics or equivalent professional qualification.
- At least 2 – 5 years of relevant experience in financial services industry, understand drivers of business and able to apply data solution to deliver desirable outcomes.
- Individual should have experience in dealing with large customers’ data set, able to generate insights from complex analysis and models and communicate effectively to stakeholders.
- Individual should have a track record of building and deploying data science models that have a measured value contribution to the business.
- Individual should have insurance domain knowledge.
- Individual should have experience in leading a small team.
- Proficient in AWS, Snowflake, Airflows, SageMeta (AWS ML).
