About our client
Our client is well known brand in the space of Insur Tech and a leading worldwide player in extending insurance consulting for multiple client globally.
The ideal candidate for this position will succeed in this role if they have both knowledge and technical depth about the company and the industry. This is essential as they will be a central person in the decision making process, working with multiple individuals across different teams when necessary. As a result, they will also be overseeing specific personnel.
Responsibilities
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.
Location - Open for both Bangalore or Pune
3. Educational Background :
- Candidates should ideally be from tier 1, 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
Experience
We are now seeking a candidate with 7 to 10 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.
Domain expertise - LIFE INSURANCE is a must for this role
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 is a must
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.
Qualifications
- Bachelor's degree or equivalent experience- Statistics is a must for the role
- Microsoft Office (Outlook, Excel, Word, Power Point, etc.) Organized
- Strong leadership skills
