Data Science

Posted 8 Days Ago
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Gurugram, Haryana, IND
Hybrid
Mid level
Information Technology • Database • Consulting
The Role
Perform marketing analytics for P&C insurance campaigns: convert business problems into analytical solutions, program in Python/SAS, run EDA, build and validate ML models, generate campaign and project performance reports, and QC results to support decision-making.
Summary Generated by Built In
  • Marketing Analytics Domain Understanding:
    • Understanding of P&C insurance marketing/ Campaign working understanding
    • Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format 
    • Programming, reporting the finding, using end results to contribute to large scale planning and process to create decision strategy
    • Generate campaign and project performance reports with ability to understand marketing concept
  • Data Analytics: 
    • Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.
    • Review and analyze complex data aggregations 
    • Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA 
  • ML techniques:
    • Knowledge of Modelling based on large set of variables from varied sources
    • Understanding and working knowledge of statistical and Machine learning techniques
Responsibilities
  • Marketing Analytics Domain Understanding:
    • Understanding of P&C insurance marketing/ Campaign working understanding
    • Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format 
    • Programming, reporting the finding, using end results to contribute to large scale planning and process to create decision strategy
    • Generate campaign and project performance reports with ability to understand marketing concept
  • Data Analytics: 
    • Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.
    • Review and analyze complex data aggregations 
    • Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA 
  • ML techniques:
    • Knowledge of Modelling based on large set of variables from varied sources
    • Understanding and working knowledge of statistical and Machine learning techniques
Qualifications
  • Education:  Master’s in Statistics/Economics/MBA, Engineering 
  • Experience: 3-5 years of experience Machine Learning, Data Modelling, Programming with SAS/Python. 

Technical Skills: Python for data analytics and modeling, Machine Learning Techniques

Skills Required

  • Master's degree in Statistics, Economics, MBA, or Engineering
  • 3-5 years' experience in Machine Learning, Data Modelling, and programming with SAS/Python
  • Proficiency in Python for data analytics and modeling
  • Proficiency in SAS for data extraction and analysis
  • Working knowledge of statistical and machine learning techniques
  • Experience with exploratory data analysis (EDA) and analyzing complex data aggregations
  • Marketing analytics domain knowledge, specifically P&C insurance campaign understanding and performance reporting
  • Ability to self-check, QC results, and produce clear reports to inform decision strategy
Am I A Good Fit?
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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