Job description


  • B.S. or Masters or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background.
  • 3-7 years of experience in industry (ideally e-commerce, technology, consumer banking, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results.
  • Should have fair understanding of using data mining, machine learning techniques and recommendation Engines on large amount of data, building and implementing various statistical models.
  • Good understanding of technology tools especially those related to analytics, data & modeling.
  • Experience/Exposure in financial industry especially on trading strategies and trading system performance will be a plus
  • Good written and oral communication skills.
  • Data Scientists with strong proficiency with statistical modeling, data mining, machine learning, artificial intelligence and working with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more.

Key skill sets required

  • Statistical Programming Tool Skills : Programming experience in Python, Spark or other statistical programing software.
  • Platform and Database skills : Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server etc..

Location: Central

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