Exciting American Express Data Science Analyst Position – Work From Home Hybrid in 2025
Are you ready to take your career in data science to the next level? American Express is offering a fantastic opportunity for aspiring data scientists to join their prestigious team as a Data Science Analyst. This position allows you to work in a hybrid environment, balancing the flexibility of remote work with the collaborative atmosphere of the office. If you hold an MBA or a Master’s degree in Economics, Statistics, Computer Science, or a related field and are skilled in advanced analytics, this could be your chance to shine. With a focus on innovative problem-solving and big data solutions, you will play a key role in driving meaningful business insights and enhancing decision-making processes. Join a leader in the financial services industry and embark on a journey that promises growth, learning, and the chance to make an impact.
Key Job Details
- Job Title: Analyst – Data Science
- Company: American Express
- Location: Gurugram & Bengaluru (Hybrid)
- Education Required: MBA, Master’s Degree in Economics, Statistics, Computer Science or related fields
- Experience: 0-30 months in analytics or big data workstreams
- Skills Required: SAS, R, Python, Hive, Spark, SQL
- Employment Type: Full Time
- Salary: As per Company Standards
- Date Posted: December 17, 2025
About the Role
The Analyst – Data Science position at American Express is a pivotal role within the Data Science job family. In this position, you will be responsible for the development, deployment, and validation of predictive models that support business decisions across various domains such as risk, fraud, and marketing. You will leverage advanced analytics techniques, including both supervised and unsupervised methodologies, to extract insights from vast datasets. The hybrid work model means you will collaborate with cross-functional teams, integrating with business partners worldwide to enhance data-driven decision-making. As part of your responsibilities, you will analyze large datasets to derive actionable insights, innovate solutions using big data and machine learning, and articulate your findings to key stakeholders. This role not only emphasizes technical skills but also requires strong communication abilities to convey complex information clearly.
Required Skills
- Technical Proficiency: Expertise in programming languages such as SAS, R, and Python is essential. Familiarity with big data tools like Hive and Spark, as well as SQL, will enable you to handle and analyze large datasets effectively.
- Analytical Thinking: You should be comfortable employing both supervised and unsupervised learning techniques, including active learning, neural models, and reinforcement learning, to solve complex problems.
- Problem-Solving Skills: The ability to innovate and develop new approaches using machine learning and big data analytics is crucial for this role.
- Communication Skills: Strong interpersonal skills to work effectively in teams and articulate findings to leadership are a must.
- Adaptability: The role requires you to be a quick learner capable of handling unstructured initiatives independently.
Responsibilities
- Model Development: Create and validate predictive models that provide insights into risk management, fraud detection, and marketing strategies.
- Data Analysis: Analyze large volumes of data to derive meaningful business insights and drive project deliverables that align with organizational goals.
- Collaboration: Work closely with cross-functional teams to ensure that data-driven insights are integrated into business processes, enhancing overall decision-making.
- Continuous Learning: Stay updated with industry trends in finance, payments, and analytics to maintain a competitive edge in your analytical approaches.
Why Join American Express
American Express is known for its commitment to employee growth and development. The company fosters a culture of innovation and collaboration, making it a fantastic environment for professionals looking to advance their careers. Employees benefit from comprehensive training programs, mentorship opportunities, and a supportive community that values diversity and inclusion. Additionally, American Express offers competitive compensation packages and various employee benefits that promote work-life balance, making it an attractive choice for job seekers in the data science field.
Industry Trends and Job Market Value
The demand for data science professionals continues to grow as organizations increasingly rely on data-driven decision-making. The ability to analyze and interpret large datasets is crucial in today’s fast-paced business environment. Positions like the Analyst – Data Science at American Express are invaluable as they directly contribute to enhancing business strategies and driving profitability. With the rise of big data and machine learning, this role is positioned at the forefront of the finance industry, making it an excellent opportunity for individuals seeking to make a significant impact in their careers.
How to Apply
If you are excited about this opportunity and meet the qualifications, take the next step in your career by applying today!


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