Senior Analyst - Data Science

Roles & Responsibilities

You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field.

Role Overview:

As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting-edge Generative AI solutions that address significant business challenges. This role focusses on hands-on implementation, rapid prototyping, and collaboration with cross-functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals

Responsibilities

• Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.

• Write clean, efficient, and well-documented code for data processing, model training, and deployment.

• Collaborate with the Technology team to integrate solutions into our existing systems and platforms.

• Conduct experiments to evaluate model performance and optimize algorithms for scalability.

• Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.

• Collaborate with the Engineering team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.

• Actively participate in technical discussions and forums across Amex

Qualifications

• Advanced degree (Master/ PhD) in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).

• Strong programming skills in at least one language (Python, Java, C++, etc.)

• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries

• Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution.

• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems.

• Solid understanding of Large Language Models and practical experience with Generative AI

• Strong ability to translate real-world problems to data science problems.

• Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams.