Senior Analyst-Data Science

With a focus on digitization, innovation, and analytics, the Global Decision Sciences (GDS) team creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of GDS is the integration of diverse skills across all of its remit. GDS has a very broad range of responsibilities, resulting in a broad range of initiatives around the world. The Amex AI Labs of American Express Corporation is looking for best in class Senior Research Engineers to work in a dynamic and rewarding workplace. Amex AI Labs is currently co-located in Bangalore, Gurgaon and New York and involves dynamic and talented researchers with Ph.D. or Master’s degree from top tier institutes in India and abroad having research and product development expertise in AI/ML technologies such as - Deep Learning, Data Science, Natural Language Processing, Cloud Technologies and related technical areas. Going beyond building products and solutions for traditional financial domains such as credit and fraud, the team is also working on challenging research problems in domains such as services, human resource management, travel & lifestyle, and many more. The key goal is to progress the state of the art in science and develop products to solve business problems, in a domain-agnostic manner, for American Express.

Purpose of the Role:

Collaborate on next generation research services in the areas of Artificial Intelligence (AI) to aid solutions to complex business problems for American Express.

How will you make an impact in this role?

Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also, they do preventive work to avoid future overdue with accounts that have a high exposure.

Amex AI Labs is looking for individuals with AI R&D background for AI Research & Services team in Bangalore/Gurgaon. The team works on handling capabilities centred on Document Analysis, NLP, AI research from conception to launch. Successful candidates are expected to partner with different business and technology teams in American Express to build capabilities for high impact use-cases. We are looking for extremely agile and entrepreneurial candidates who will help innovate and execute product initiatives across the company.

• Lead the ideation and launch of innovative AI/ML capabilities & services
• Hands on Deep learning Algorithms like BERT, RNN, LSTM, Transformer, GRU, GAN etc
• Building GenaI capabilities like Prompt Engineering, Fine-Tuning, RAG and Agentic frameworks
• Working with MLOPs capability like MLFlow, AirFlow etc and understanding of deployment capabilities on public cloud (AWS, GCP) and on-prem infrastructure
• Technically hands-on working with big data sets using Python/JAVA/SPARK, doing EDA and bringing insights from data- Building POCs basis on research papers analysis while simulating business impact and Transform MVPs to production grade capabilities in collaboration with engineering teams
• Authoring and publishing papers, adopting open-source tools, presenting in conferences, conducting R&D driving company revenue.
• Innovate ways to evangelize the product to drive Amex wide user adoption
• Contribute to the strategy and roadmap of AI/ML Initiatives to help drive most impact
• Evaluate prospective features in AI Services and ability to prioritise them with changing requirements in the direction of AI adoptions.

Past Experience:

• 2+ years of building machine learning models using advance AI techniques
• 1-3 years of experience in working with product/engineering/automation development teams in a fast paced, complex, and dynamic environment.
• Experience in leveraging Agile, Scrum or other rapid application development methodologies

 

Academic Background:

Undergraduate/Master’s/PHD in Computer Science/ Data Science/ Statistics/ Mathematics, MBA from institutes of global repute.

Functional Skills:

• Ability & experience in taking a prototype to a product stage
• Different aspects of research and development
• Strong quantitative, analytical, and structured problem-solving skills.
• Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams
• Excellent verbal and written communications skills
• Experience defining and developing a new product or service.

 

Technical Skills:

• Good coding skills in Python, SPARK, Hive, GIT
• Good Understand of Deep Learning Algorithms and NLP
• Superior math & programming skills and hands-on experience in machine learning tools
• Understanding of how CI/CD works- Exposure to Public Cloud Deployment (AWS, GCP)
• Proficient in statistical techniques
• Background in Natural Language Processing

 

Knowledge of Platforms:

Knowledge of Big Data Platforms such as Hadoop , SQL is preferred