American Express helps international businesses manage risk, respond to new regulation, and develop new products whilst creating and nurturing effective partnerships across multiple key stakeholders across the organization.
Job Designation : Software Data Science Analyst
Qualification : Bachelor’s / Master’s Degree
Experience : Freshers / 0 – 3 years
Skill Set :
- 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
- 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
Job Description :
- 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
Location : Gurugram, India
