Analyst - Data Science

Reposted 15 Days Ago
Singapore, SGP
Hybrid
Entry level
Fintech • Financial Services
The Role
As an Analyst in Data Science, you'll develop AI/ML solutions, collaborate across teams, and enhance customer experience through innovation. Responsibilities include coding, prototyping, and optimizing algorithms for business challenges.
Summary Generated by Built In

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are seeking a highly motivated individual with a solid background in software engineering, machine learning or/and 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 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, driving innovation and excellence in customer interactions.

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 Technology 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
  • Data processing skills such as SQL and BigQuery is a plus.
  • 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.
About Us

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

About the Team

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • 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

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Skills Required

  • Advanced degree in quantitative discipline
  • Strong programming skills in at least one language (Python, Java, C++)
  • Familiarity with machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn)
  • Extensive experience in machine learning, NLP, and Generative AI
  • Proven expertise in applying deep learning and NLP techniques
  • Solid understanding of Large Language Models
  • Data processing skills such as SQL and BigQuery
  • Excellent communication and collaboration skills

American Express Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.

  • Healthcare Strength Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
  • Retirement Support Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
  • Leave & Time Off Breadth Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.

American Express Insights

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The Company
HQ: New York, NY
100,703 Employees
Year Founded: 1850

What We Do

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.

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