American Express is hiring for an Analyst / Senior Analyst– Data Science & Strategy

This is to inform all the candidates that American Express Off Campus Drive for Analyst / Senior Analyst– Data Science & Strategy positions all the candidates who want to start their carrier in American Express hire to have an excellent opportunity to apply now.

Company American Express
PositionAnalyst / Senior Analyst– Data Science & Strategy
QualificationAny Bachelor/Master’s Degree
LocationGurgaon, Haryana, India • Bengaluru, Karnataka, India
Salary10 LPA (Expected)
Experiences0 – 6 Years
Batches2018/ 2019/ 2020/ 2021/ 2022
American express
American Express


Decision Science, Strategy, and Insights:

Analyze large amounts of data to derive business insights and create innovative solutions

Leverage the power of closed loop through the Amex network to make decisions more intelligent and relevant

Innovate with a focus on developing newer and better approaches using big data & machine learning solutions

AI Research:

Ideate and contribute to innovations to help solve business problems

Read, and understand papers in AI and ML and use the concepts to come up with novel ideas

Perform POC on Ideas and concepts to test the feasibility

Contribute to product strategy and roadmap; recommend the nature and scope of present and future state of the AI Platforms.

Contribute to patents and publication of research

Critical Factors to Success: 

Business Outcomes:

Drive billing, revenue growth, and profitability through advanced analytical techniques

Maximize business returns by institutionalizing efficient and accurate models.

Innovate Modeling Techniques and Variable creation

Ensure Modeling Accuracy and enhance modeling efficiency in existing processes using Machine Learning 

Leadership Outcomes:

Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.

Lead with an external perspective, challenge the status quo, and bring continuous innovation to our existing offerings

Demonstrate learning agility, make decisions quickly and with the highest level of integrity

Lead with a digital mindset and deliver the world’s best customer experiences every day

Academic Background:
MBA, Master’s Degree In Economics, Statistics, Computer Science, Or related fields

For AI Researcher – Bachelors/Masters/Ph.D. in a quantitative field like Computer Science, Operations Research, Statistics, etc.

Past Experience:
0-6 years experience in analytics, big data workstreams 

Functional Skills/Capabilities:

Ability to drive project deliverables to achieve business results

Ability to work effectively in a team environment

Strong communication and interpersonal skills

Ability to learn quickly and work independently

Good Programming skills are a must

Excellent problem formulation and solving skills

Technical Skills/Capabilities:

1. Analytics & Insights & Targeting 

SAS, R, Python, Hive, Spark, SQL 

Advanced Statistical Techniques 

Hands-on programming and ability to design 

2. Data Science/Machine Learning/Artificial Intelligence 

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 

These are the followings steps for fill the application form:-

  • As always, read all the information on this page and check the qualifications.
  • After reviewing and reading, scroll down and click on Apply Now text.
  • You will be redirected to the job page on Superset’s website.
  • Recheck all the details and information provided there.
  • Click on the Apply now button.
  • If you already have an account on the Superset website, then log in. Otherwise, create a new one.
  • After signing in, enter all the required details and apply.

Eligible and Interested candidates fill out the online application form through our link below.



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