5 Lucrative Data Science Job Openings At American Express You Should Not Miss

In India, the total size of the traveller’s cheque market is estimated over $ 1 billion a year and has been growing at about 2-3 percent a year; whereas American Express sales grew at over 20 per cent in 2003-04. American Express estimates that over 50 per cent of Indian leisure travellers carry traveller’s cheques and it has a significant market share in India.

American Express has been continuously launching innovative products in its stronghold areas of credit cards and travellers’ cheques.

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Handling these key tasks like credit card transactions at this frequency leaves no room for errors and Amex provides a foolproof system by deploying state-of-the-art machine learning algorithms.

Here some of the lucrative jobs at Amex India in Gurgaon where data analytics skills can be put to the best use:

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Business Analyst /Assistant Manager- Credit Fraud and Risk- Strategy

Business Analyst- Risk Strategy will responsible to develop and enhance existing American Express risk strategies / statistical models by leveraging best-in-class modelling techniques and data across various stages of card member lifecycle.


  • Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management
  • SAS, R, Python, Hive, Pyspark, SQL
  • Advanced Statistical Techniques
  • Hands-on programming and the ability to design
  • Expertise in coding, algorithm, high-performance computing
  • Unsupervised and supervised techniques: Active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
  • Gradient boosting machines, self-reinforcing algorithms
  • Big Data: Cornerstone, Teradata, BlueLight

Apply here

Business Analyst – Global Commercial Data Sciences

Global Commercial Data Sciences function focuses on providing data Science solutions for effective targeting of Commercial card and non-card products.

The role would be a part of International Commercial Prospecting team and would focus on delivering data science solutions for Commercial prospecting in International markets


  • 0-3 years of relevant experience in Analytics/Modeling
  • Masters Degree In Business Administration, Statistics, Mathematics, Economics, Engineering or related fields
  • Understanding of credit card business
  • Strong communication & interpersonal skills and ability to work effectively in a team environment
  • Machine Learning Algorithms, Statistical Predictive Modeling
  • Python
  • Hive, SAS/SQL, Hadoop
  • Unix

Apply here

Business Analyst – Global Collection Decision Science

Business Analyst-GCDS will work on the development and enhancement of Customer collections modelling suite and driving the next round of modelling enhancements.


  • Master’s degree in a quantitative discipline
  • Strong aptitude to work in a modelling/analytical role
  • Strong verbal, written and interpersonal communication skills
  • Experience in SAS, Hive, Python
  • Cornerstone, Teradata, Machine Learning Platforms in AXP system

Apply here

Senior Data Engineer – Python, Machine Learning, Spark, REST API

A senior Data Engineer will be part of the Financial Data Engineering team which drives delivery of technology solutions for Global Finance & Tax. The team oversees leading edge technologies involving advanced & standard accounting, robotics and cognitive automation, workflow orchestration, API integration, CI/CD and DevOps.


  • Bachelor’s/master’s Degree in engineering, Physics, Mathematics, Computer Science.
  • 8+ years of software development experience with proven hands-on experience in one or more technologies
  • Knowledge of Python and Spark
  • Strong programming skills in WEB DEVELOPMENT React/Node, R/Shiny/Django
  • Strong programming skills in RESTFUL API Integration
  • Familiar with Agile or other rapid application development method
  • Understanding of different Algorithms & Machine Learning techniques and their application
  • Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems

Apply here

Senior Software Engineer – Java, Data structures, Algorithms, Hadoop

Senior Software Engineer’s role is centric to the company’s Big Data and batch/real-time analytical solutions leveraging transformational technologies (Hadoop, HDFS, MapReduce, Spark, Hive, HBase, Pig, etc.) to deliver innovative solutions across multiple business units (e.g., GIM, EDA, GCP, Loyalty, etc.).


  • A Bachelor’s degree in computer science, computer engineering, other technical disciplines, or equivalent work experience.
  • 10+ years of software development experience with proven hands-on experience in BigData technologies.
  • Strong programming knowledge in Java
  • Hands-on experience in Big Data technologies (at least MapReduce, Hive and Hbase)
  • Understanding and experience with UNIX / Shell / Perl / Python scripting
  • Database query optimization and indexing
  • Web services design and implementation using REST / SOAP

Apply here


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