Analyst-Data Science

You Lead the Way. We ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you ll learn and grow as we help you create a career journey that s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and lets lead the way together.

How will you make an impact in this role?

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.

• 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

Minimum Qualifications

• Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc.
• Ability to work in cross functional teams
• Excellent data wrangling and visualization skills
• Hands on knowledge of SQL is expected
• A research mindset with a zeal to experiment new algorithms is expected

Preferred Qualifications:

• Master s in a quantitative field (e. g. , Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute.
• A set of high impact research papers on applied NLP/ Deep Learning/ GenAI
• Prior experience working with Transformers/LSTMs/CNNs preferred
• Working knowledge of finetuning Large Language Models(LLMs) is a plus
• 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
• Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred and any of Tensorflow/Torch.