American Express Jobs 2025 Hiring Freshers : American Express Jobs 2025 Hiring Freshers For Software Data Science Analyst. Any Graduate Candidates Required to Apply or Eligible For this Post.More Details Related American Express Jobs Latest Hiring and Apply Link and More Job Related details see below.
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American Express Jobs 2025 For Software Data Science Analyst. :
Name of the Company : American Express
Official Website : www.americanexpress.com
Job Role : Software Data Science Analyst
Education Qualification : Any Graduate
Experience : Freshers
Salary Details : 8.00 LPA (Expected)
Job Location : Gurugram
Apply Mode : Online
Last Date : Apply Now ASAP.
General Summary of Job Details :
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 let’s 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
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
More Details and Apply Link Details : ApplyHere
PLEASE FOLLOW OUR TELEGRAM/WHATSAPP/INSTAGRAM PAGES. WE REGULARLY UPDATED AND DAILY JOB POSTINGS FOR FRESHERS IN TOP MNC’S, PRIVATE JOBS, WORK FROM HOME JOBS AND LATEST GOVERNMENT JOBS. WE PROVIDED THE LINKS BELOW PLEASE FOLLOW AND SUBSCRIBE AND SHARE WITH YOUR FRIENDS.
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