Data Science Analyst

1 month ago

bangalore, India Antal International Full time
Job Description

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.

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