Data Scientist
American International Group, Inc.
Bangalore
22h ago

Functional Area :

IT - Information TechnologyEstimated Travel Percentage (%) : No TravelRelocation Provided : YesAIG ANALYTICS & SERVICES PRIVATE LIMITED

Job Highlights

Data Scientist will partner with the Analytics team within General Insurance to develop data science solutions, Machine Learning (ML) tools and models to improve data quality in the Underwriting processes.

Key Responsibilities include :

  • Researches and develops data science solutions and Machine Learning (ML) tools and models to improve data quality.
  • Identifies and tests hypotheses, ensuring statistical significance, and builds predictive models and data visualization to support production business
  • Extending company’s data with third party sources of information when needed; Find and integrate new internal or external datasets necessary to complete the analysis and improve the validity, predictability, and accuracy of models
  • Analyze large amounts of data to discover trends and patterns
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Demonstrated ability to effectively interpret data and modeling results, distill actionable insights and present them to stakeholders
  • Collaborate with product development teams to develop analytical systems.
  • Technical Skills and Competencies :

    Desired Qualities :

  • Strong math / analytical, problem solving skills and communication skills
  • Able to think independently and creatively
  • Close attention to detail and ability to work to very high standards
  • Good communication and team building skills in a fast paced environment.
  • Must be able to think outside of the box and have the ability to work in a small, collaborative team environment.
  • Ability to work with global teams in a collaborative mode
  • Excellent time-management skills and multi-tasking under pressure
  • Drive to solve problems and self-motivated learning
  • Technical Qualifications :

  • Bachelor's degree in engineering or computer science or mathematics or statistics is required. Master’s degree is highly preferred.
  • 7+ years of data analytics experience
  • Experience in machine learning and modeling using Phyton, R is required. Additional programming experience using Java, C# / C++ is highly preferred.
  • High proficiency in utilizing complex SQL queries for data analysis (SQLServer, DB2, Netezza, Hadoop / Hive) is required.
  • Knowledge of big data tools / techniques (Hadoop, Hive,Map / Reduce, NoSQL) is required
  • Demonstrated willingness to perform data analysis, data wrangling and ability to abstract rules for data store and processing.
  • Experience with large data sets is required.

  • Strong experience with analytical modeling techniques including Association, Classification, Clustering, Regression, Time Series Analysis, Text Analysis, Statistical analysis
  • Experience with Data Visualization techniques is required
  • Experience with image processing, text analytics is required. Experience with Natural language processing is highly preferred.
  • Experience in Insurance / Reinsurance domain is highly desirable
  • It has been and will continue to be the policy of American International Group, Inc., its subsidiaries and affiliates to be an Equal Opportunity Employer.

    We provide equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.

    At AIG, we believe that diversity and inclusion are critical to our future and our mission creating a foundation for a creative workplace that leads to innovation, growth, and profitability.

    Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives

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