Manager

Year    HR, IN, India

Job Description

ManagerEXL/M/1431207


ServicesGurgaon
Posted On
27 Aug 2025
End Date
11 Oct 2025
Required Experience
5 - 8 Years



Basic Section
Number Of Positions


1


Band


C1


Band Name


Manager


Cost Code


D013293


Campus/Non Campus


CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


1500000.0000 - 2500000.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


Analytics


Sub Group


Banking & Financial Services


Organization


Services


LOB


Services


SBU


Analytics


Country


India


City


Gurgaon


Center


EXL - Gurgaon Center 38




Skills
Skill


MACHINE LEARNING


MODEL DEVELOPMENT


PYTHON


SQL


R


MODEL VALIDATION


GENERAL LINEAR MODELS


Minimum Qualification


BSC


Certification


No data available


This position is for a Manager role in the Insurance Predictive Analytics domain for one of our client. The key responsibility will be to support the client's Insurance Analytics team from Gurgaon in undertaking various Analytics and Data Science projects.



The job responsibilities include the following:



Clearly Setting Project Objectives with the Client - Take initiatives to identify opportunities and develop problem statements to be worked upon.

Data Extraction, Cleansing and Manipulation - Handle large volume of data, research for variables and work with structured/unstructured data.

Predictive Modelling - Development of models using appropriate predictive analytics techniques

Model Documentation - Clear and Detailed Documentation of the modelling procedures.

Participate in various other analytics projects and work on ad-hoc requests relating to data extractions and visualizations as per the client need

Modeling / Data Science: Model training and development, Model monitoring, refitting models, diagnostics/analysis and publishing the model

Model pipeline automation via airflow documentation

Development dashboards containing model validation and monitoring KPIs


We are also looking for a go getter person who can define:



Analytic strategies to meet the demands of business requirements

Technical requirements of the analytic solutions

Data requirements of the analytic solution processes

The person will be part of the Data Science team for a major Insurance client. He/ She will work with different stakeholders as SME for data science

Engages in technical problem solving across multiple technologies; often needs to develop new solutions

A typical work day will involve working with stakeholders in individual contributor

A suitable candidate should have 7-10 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with ambiguity

Experience in insurance preferred but not mandatory.


Personal Qualifications



Deep understanding of Analytics

Strong communicator and team player. Should have experience in client interactions.

Experience in working in a multi-cultural environment

Questions existing processes, suggests improvements


Required Education and Skills



Academic Background in Science (Mathematics, Physics, Engineering, Statistics, Economics, Actuarial Science etc.)

Strong IT skills - Hands on experience in Machine Learning, Data Analysis and Data Preparation tools like Python, Pyspark, SQL, Airflow and good knowledge in advanced analytics / Machine learning / statistical / data mining / Text mining techniques in Regression or classification

Experience working with generalized linear models and machine learning model development process is essential

Working knowledge with AWS Services like S3, EC2, EMR, Airflow

Working knowledge of Snowflake and Power BI

Experience in P&C Insurance Industry is preferable


Workflow
Workflow Type


L&S-DA-Consulting

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Job Detail

  • Job Id
    JD4122589
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    HR, IN, India
  • Education
    Not mentioned
  • Experience
    Year