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Machine Learning Scientist

3.00 to 5.00 Years   Bangalore   06 May, 2023
AXA XL
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryInsurance
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    This role is under the Machine Learning Team (part of the Pricing, Analytics, and Models team) which works with internal and external stakeholders to deliver leading-edge advanced analytical insights to benefit the businesses of AXA XL. DISCOVER your opportunity What will your essential responsibilities include
    • Support the gathering and validation of data required.
    • Build algorithms and design experiments to merge, manage, interrogate, and extract data for building modeling data.
    • Discover business insights in data using exploratory data analysis.
    • Perform statistical analyses of internal and external data to elicit insights into risk which will form the basis of decision-support tools.
    • Build project methodology; specify statistical models/analysis approach to be used.
    • Work closely with pricing actuaries, underwriters, and other stakeholders to communicate and receive feedback on insights arising from statistical analyses and adapt analyses accordingly.
    • Work with IT to implement models and create architecture to support data collection and validation.
    , * SHARE your talent We re looking for someone who has these abilities and skills: Required Skills and Abilities:
    • Masters in statistics, mathematics, economics, or another quantitative field.
    • 3-5 years of relevant experience, experience in insurance preferred.
    • Excellent working knowledge of R, Python, or similar (Experience in Azure Databricks is a plus).
    • Ability to work with incomplete and messy data to extract useful information.
    • Understanding of core analytical techniques like Cluster & Factor Analysis, Regression, Logistic Regression, GLMs, CART/CHAID/Decision Trees, Data Mining, Machine Learning Algorithms, Sampling Techniques, Design of Experiments, etc.
    Desired Skills and Abilities:
    • Excellent verbal and written communication skills; can effectively convey complex concepts to non-analytical people.
    • Able to both work well self-directly and collaborate with people from multiple functions
    • Internally driven and intrinsic motivation.
    • Possesses natural curiosity and thinks outside the box
    • Outstanding execution skills.

Keyskills :
data miningdata collectionmachine learning

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