Manager, Data Science

3 weeks ago

Singapore AMERICAN EXPRESS INNOVATION LABORATORIES LIMITED (SINGAPORE BRANCH) Full time
Roles & Responsibilities

You Lead the Way. We’ve Got Your Back.

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.


At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.


Role Overview:

As a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.


Key Responsibilities:

  • Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
  • Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
  • Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
  • Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
  • Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.

Qualifications:

  • Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
  • Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
  • Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
  • Solid understanding of Large Language Models and practical experience with Generative AI
  • Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
  • Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
  • Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.

Tell employers what skills you have

Analytical Approach
Machine Learning
Applied Research
Natural Language Processing
Artificial Intelligence
Computer Vision
Python
Driving Results
Data Science
Research
Computer Vision Technology

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