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Data Science Analyst
3 months ago
Note-For this role, only candidates from Tier 1 colleges will be considered.
Role: Data Science Analyst
Experience-2-4 years
Job Location: Bangalore
Salary-Max 24
Np- Immediate to 60 days
Role & Responsibilities
The ideal candidate for this role will have a strong background in mathematics/statistics, actuarial science (optional) and data science, with a proven record of delivering complex data science projects.
In this role, you will get the opportunity to apply your expertise in Life insurance actuarial modelling and programming (Python/R) to support the development and implementation of cutting-edge actuarial solutions.
This role is responsible for working in a team, which works on developing life insurance products, developing pricing basis, creating profit test models, cashflow modelling, valuation models, asset liability management, solvency reporting, GAAP reporting, SCR/MCR calculations and optimization, EV/MCEV calculations etc.
Qualifications
o Graduate/Post-graduate in Data Science and Artificial Intelligence, Statistics, and Mathematics with
strong background in Data Science from top tier engineering institute, and
o Min 2+ actuarial exams passed will be a plus.
o Proven experience in statistical modelling, particularly in the context of life insurance.
o Demonstrable understanding of regression, classification, GLM, and techniques like Random
Forest, SVM, XGBoost, LightGBM, etc.
o Strong programming skills in relevant data science languages, e.g., R or Python.
o Experience range 1 – 3 years with deep and first-hand experience in data science ecosystem.
o Impressive knowledge of machine learning techniques
o Ability and willingness to self-learn, adapt, and guide other team members in new and emerging
state-of-the-art technology
o Exceptional ability to interpret complex statistical results and convey them to various
stakeholders
o Strong verbal and written communication skills and the ability to communicate effectively across
product, development, and management teams.
o Ability to work independently as well as in collaborative setting.
o Translate technical findings to both actuarial and non-actuarial stakeholders.
Mandatory Skills
o Strong analytical skills
o Apply hypothesis testing to confirm findings or compare various model performances.
o Analyse complex datasets, gleaning insights that can inform policy pricing, underwriting decisions,
etc.
o Collaborate with actuarial and cross-functional teams to ensure models align with business needs
and regulatory requirements.
