Explore Exciting Data Science Opportunities with American Express – WFH (Hybrid)
Are you passionate about data science and eager to make an impact? American Express is offering a fantastic opportunity for individuals interested in a hybrid work environment. This role is perfect for those who have a strong analytical background and are looking to contribute to innovative projects within a leading global financial services company. With a commitment to enhancing consumer experiences and driving business results, American Express is on the lookout for talented professionals ready to dive into the world of data science. If you possess a postgraduate degree in a quantitative field and have experience with machine learning techniques, this could be your chance to join a dynamic team in Bangalore or Gurugram. Let’s delve deeper into what this role entails and how you can become part of American Express!
Key Job Details
- Job Position: Analyst – Data Science
- Job Location: Bangalore & Gurugram (Hybrid)
- Education Requirement: Post Graduate Degree in Statistics/Mathematics/Economics/Engineering/Management from Top Tier Institutes
- Experience: 0-2 years in Analytics, Data Science, Machine Learning, or related fields
- Skills Required: Proficiency in econometric, statistical, analytical and ML techniques, ML languages (Python, PySpark), SQL/Hive
- Employment Type: Full Time
- Salary Package: As per Company Standards
- Date Posted: June 23, 2025
About the Role
The Analyst – Data Science position at American Express offers a unique opportunity to work in a hybrid model, which allows for flexibility and collaboration. The role focuses on supporting the Commercial Collections and Credit Data Science practices, driving model usage, and identifying business opportunities through the enhancement of existing models. You will utilize your analytical skills to innovate modeling techniques and create variables that can significantly impact decision-making processes. This is an exciting chance to incorporate new data intelligence from various sources, including consumer and commercial data, into commercial credit risk models. As an Analyst, you will conduct AI and ML research, explore opportunities for model excellence, and elevate the business’s overall performance. This role not only offers a platform for professional growth but also the chance to be part of a team that values creativity and innovation.
Required Skills
- Proficiency in Econometric and Statistical Techniques: An understanding of advanced statistical methods and econometric models is crucial for effective data analysis.
- Experience with ML Languages: Candidates should be proficient in Python and PySpark, as well as SQL/Hive for data manipulation and extraction.
- Strong Analytical Skills: The ability to analyze complex data sets and derive actionable insights is essential for driving business results.
- Communication Skills: Effective communication and interpersonal skills are necessary for collaborating within a team and presenting findings to stakeholders.
- Adaptability: Candidates must demonstrate the ability to learn quickly and work independently with complex, unstructured data.
Responsibilities
- Support the enhancement of model usage and tackle business opportunities through innovative analyses.
- Conduct thorough research to explore AI and ML opportunities that can drive business impact.
- Review customer cases to identify and develop new model and variable opportunities.
- Incorporate consumer, commercial bureau, and internal datasets into existing models to improve accuracy and performance.
- Collaborate with team members to drive project deliverables and achieve business results effectively.
Why Join American Express
American Express is known for its inclusive culture and commitment to employee well-being. The company offers competitive base salaries along with bonus incentives, ensuring that employees feel valued for their contributions. With comprehensive medical, dental, vision, life insurance, and disability benefits, employees can prioritize their health and financial well-being. Moreover, American Express supports career development through various training opportunities, allowing employees to enhance their skills and advance within the company. The flexible working model, including hybrid, onsite, or virtual arrangements, reflects a commitment to work-life balance, making it an attractive workplace for professionals dedicated to personal and professional growth.
Industry Trends and Job Market Value
The demand for data science professionals continues to rise as businesses increasingly rely on data-driven decisions. In 2025, data science roles are expected to be among the best jobs for freshers, with opportunities across various sectors. The ability to analyze data and derive insights is invaluable in today’s market, making this position at American Express particularly relevant. As companies aim to enhance their competitive edge through effective data use, roles like these will play a pivotal role in shaping the future of business strategies. Joining American Express in this capacity not only positions you at the forefront of industry trends but also allows you to contribute to significant business transformations.
How to Apply
If you are ready to take your career to the next level and work with a leading company like American Express, don’t miss out on this opportunity. Click the button below to apply for the Analyst – Data Science position and start your journey with us!
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