About American Express

American Express Recruitment

Job Role: Analyst-Data Science

Qualification: B.Tech/BE/M.Tech/MCA

Experience: 0 – 3 years

Batch: 2025 / 2024 / 2023 / 2022

Salary: up to ₹18 LPA

Job Location: Gurugram

Last Date: ASAP

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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

• 0-3 years of Experience
• Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, genism, pyspark, spacy, transformers)
• 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

Preferred Qualifications

• Prior experience working with Transformers/LSTMs/CNNs preferred
• Working knowledge of fine tuning 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
• Deep learning expertise is preferred and any of Tensorflow/Torch is preferred

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities