We are seeking a candidate with 8 to 10 years of experience in data science, specifically within the life insurance sector. Below are the detailed requirements for the role:
Educational Background:
- Candidates should ideally be from tier 2 or tier 3 colleges, with degrees in Statistics.
Key responsibilities:
- 1. Work closely with the broader team do define and execute EDA road map Integrated solution for business based on data driven insights and strategies.
- 2. Perform advance Statistical and Machine learning modelling exercise to develop descriptive/ predictive/ prescriptive models.
- 3. Perform data visualization and reporting for effective communication of insights generated by modelling exercises.
- 4. Develop basic database queries for data extraction.
- 5. Ability to communicate models and analysis in a clear and precise manner.
- 6. Promote new learning and technique in the field of Data Science and its application in Insurance.
- 7. Perform peer reviews and ideation sessions.
Experience & Qualifications
- Bachelor and/or Master’s in Statistics/Economics/Operations Research from Tier 1 colleges.
- Experience of 8-10 years of data science experience with alteast 4-6 years of experience in life insurance experience in model development, validation, and implementation with atleast 4 years of Insurance experience.
- Hands-on experience with R and/or Python for hypothesis testing, statistical modelling and Machine learning.
- Actuarial Exams is a plus
- Proven track record on algorithm development for business problems.
- Understanding of common algorithms like GLM, Decision Trees, Random Forests, XGBoost and Time Series
- Excellent communication and interpersonal skills, with the ability to explain complex algorithms to non-technical stakeholders.
- Exemplify Xceedance’s core values of integrity, collaboration, ownership, respect, and perfection.