Senior Analyst-Data Science
American Express · Posted Oct 1
Banking, credit card, payment network, and travel services
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About the role
The Global Decision Sciences (GDS) team builds central, scalable platforms and customer experiences focused on digitization, innovation, and analytics, with Amex AI Labs co-located in Bangalore, Gurgaon, and New York. Amex AI Labs is a research and product development group working across AI/ML technologies including Deep Learning, Data Science, Natural Language Processing, and Cloud Technologies, applying them to domains such as credit, fraud, services, human resource management, and travel & lifestyle. This role partners with business and technology teams on AI research and services capabilities centered on Document Analysis and NLP, from conception to launch.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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
- Undergraduate/Master’s/PHD in Computer Science/ Data Science/ Statistics/ Mathematics, MBA from institutes of global repute.
- 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.
- 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 Big Data Platforms such as Hadoop , SQL is preferred
Benefits and support
- 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 working model with hybrid, onsite or virtual arrangements depending on role and business need
- 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
About American Express
American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.
- Industry
- Banking
- Company size
- 76800 employees
- Founded
- 1850-03-18
- Location
- New York City, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Information Officer and Executive Vice President
Chief Colleague Experience Officer
Chief Marketing Officer
Recent coverage
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