Manager - Data Science - InsurTech (7-12 yrs)

About our client

Leading client in InsurTech space with office in global location.

Must for the role - Life Insurance domain must minimum 2yrs+

Education - Statistics must ( UG or PG)

Role:

- We are now seeking a candidate with 7 to 12 years of experience in data science, specifically within the life insurance sector.

Below are the detailed requirements for the role:

1. Experience:

- 7 to 9 years in data science, with a minimum of 5 to 6 years of hands-on experience in the life insurance domain.

- This is an Individual Contributor (IC) role. While the candidate will guide and assist the team, they will not have direct team management responsibilities.

2. Skills and Background:

- Strong statistical foundation, with academic qualifications in statistics.

- Actuarial exam experience is preferred but not mandatory.

- Demonstrated expertise in statistical analysis and data modelling.

3. Educational Background:

- Candidates should ideally be from tier 2 or tier 3 colleges, with degrees in Statistics.

4. Job Description:

Key responsibilities:

- Work closely with the broader team do define and execute EDA road map Integrated solution for business based on data driven insights and strategies.

- Perform advance Statistical and Machine learning modelling exercise to develop descriptive/ predictive/ prescriptive models.

- Perform data visualization and reporting for effective communication of insights generated by modelling exercises.

- Develop basic database queries for data extraction.

- Ability to communicate models and analysis in a clear and precise manner.

- Promote new learning and technique in the field of Data Science and its application in Insurance.

- Perform peer reviews and ideation sessions.

Experience & Qualifications:

- Bachelor and/or master's in quantitative science or similar qualifications.

- Experience of 6-8 years of model development, validation, and implementation.

- Hands-on experience with R and/or Python for hypothesis testing, statistical modelling and Machine learning.

- Proven track record on algorithm development for business problems.

- Understanding of common algorithms like GLM, Decision Trees, Random Forests, XGBoost and Time Series.

- Experience of Insurance and Actuarial Knowledge is a plus.

- Excellent communication and interpersonal skills, with the ability to explain complex algorithms to non-technical stakeholders.

- Exemplify CLIENTS core values of integrity, collaboration, ownership, respect, and perfection.

5. Targeted Companies:

- Insurance and Consulting.