American Express Hiring Drive 2024 For Analyst – Data Science | Location Gurugram

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American Express Hiring Drive 2024: American Express Hiring Drive 2024 for its Analyst – Data Science. American Express Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: American Express

Role: Analyst – Data Science

Location: Gurugram

Experience: 1 – 4 years

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: Best in Industry

American Express Hiring Drive 2024

Job Description:

  • This Position is in GSG Advanced Analytics team as part of GSG MIS COE, is looking for full time candidates as Data Science Analysts.
  • The Advanced Analytics team works across multiple Data Science/Machine Learning portfolio of projects across GSG organization across multiple areas of Servicing.


  • Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, genism, pyspark, spacy, transformers), Deep learning expertise is preferred and any of Tensorflow/Torch is preferred.
  • Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc
  • Deep knowledge of Statistics and Maths and ability to dissect problems from the first principle.
  • Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable
  • Ability to work in cross functional teams
  • Excellent data wrangling and visualization skills
  • Hands on knowledge of SQL is expected
  • Prior experience working with Transformers/LSTMs/CNNs preferred
  • Working knowledge of finetuning Large Language Models(LLMs) is a plus.


  • Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap
  • Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements.
  • Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business.
  • Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary.
  • Research focus on problem solving through NLP(Natural Language Processing) is critical.
  • Clear application on performance testing and validation framework of machine learning models.
  • Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data.
  • Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount

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