Data Science Team Lead

23 hours ago


Bengaluru, Karnataka, India Ally Executive HR Full time

At Ally Executive HR, we're seeking a seasoned data scientist to lead our team in developing business-driven solutions using data insights and strategies. The ideal candidate will have 7-12 years of experience in the life insurance sector, with a strong statistical foundation and academic qualifications in statistics.

About the Role
  • We're looking for a seasoned data scientist with 7-12 years of experience in the life insurance sector.

The successful candidate will guide and assist the team without direct team management responsibilities, working closely with the broader team to define and execute EDA road maps for business-based solutions. They will perform advanced statistical and machine learning modelling exercises to develop descriptive/predictive/prescriptive models, as well as data visualization and reporting for effective communication of insights generated by modelling exercises.

Educational Background

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

Job Responsibilities
  • Work closely with the broader team to define and execute EDA road maps for business-based solutions driven by data insights and strategies.
  • Perform advanced statistical and machine learning modelling exercises 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 techniques in the field of Data Science and its application in Insurance.
  • Perform peer reviews and ideation sessions.
Requirements
  • Bachelor's 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 in Insurance and Actuarial Knowledge is a plus.
  • Excellent communication and interpersonal skills, with the ability to explain complex algorithms to non-technical stakeholders.

Salary: $120,000 - $180,000 per year.


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