Unlock Your Future: Data Science Analyst Positions at American Express – Hybrid Work Opportunity

Are you ready to take your career to the next level? American Express is thrilled to announce exciting job openings for Data Science Analysts in their innovative team. This hybrid role, located in the vibrant cities of Gurugram and Bengaluru, offers a unique opportunity to work with one of the leading financial services companies in the world. If you possess a strong analytical mindset and are skilled in data science technologies, this could be the perfect career move for you.

With a focus on leveraging big data and machine learning, American Express is searching for talented individuals to contribute to groundbreaking projects that drive business decisions and enhance customer experiences. Join a diverse team that values collaboration, innovation, and professional growth. Read on to discover all the vital details and how you can be part of this exciting journey!

Key Job Details

• Job Title: Analyst – Data Science
• Company: American Express
• Location: Gurugram and Bengaluru
• Employment Type: Full Time
• Education Requirement: MBA or Master’s Degree in Economics, Statistics, Computer Science, or related fields
• Experience: 0-30 months in analytics and big data workstreams
• Salary: As per Company Standards
• Date Posted: November 18, 2025

About the Role

The Analyst – Data Science position at American Express is a pivotal role that combines technical expertise with strategic thinking. As a data scientist, you will be responsible for analyzing vast amounts of data to derive actionable insights that can inform critical business decisions. Your work will encompass the development and validation of predictive models that enhance the company’s ability to optimize risk management, fraud detection, and marketing strategies.

This role requires you to collaborate with cross-functional teams, enabling you to integrate diverse perspectives and create comprehensive solutions. You will utilize advanced analytics techniques, including supervised and unsupervised learning, machine learning models, and big data technologies like SAS, R, Python, Hive, and Spark. Your innovative mindset will help American Express stay ahead in a rapidly evolving financial landscape, ensuring that data-driven decisions are both intelligent and relevant. The ideal candidate will thrive in a hybrid work environment, demonstrating strong communication skills and the ability to present findings clearly to leadership and stakeholders.

Required Skills

• Technical Proficiency: Expertise in programming languages such as SAS, R, and Python is essential, along with familiarity with big data technologies like SQL, Hive, and Spark.
• Analytical Skills: Strong analytical capabilities are critical for analyzing complex datasets and deriving meaningful insights to drive business performance.
• Problem-Solving: Innovative problem solvers who can learn quickly and work independently on complex, unstructured initiatives will excel in this role.
• Interpersonal Skills: Excellent communication skills are necessary to articulate business findings and collaborate effectively with cross-functional teams.
• Machine Learning Techniques: Knowledge of advanced techniques such as active learning, neural models, and reinforcement learning is required.

Responsibilities

• Model Development: You will develop, deploy, and validate predictive models that support economic logic and enable profitable business decisions.
• Data Analysis: Analyze large datasets to uncover insights that drive strategic initiatives and enhance customer experiences.
• Collaboration: Work closely with various stakeholders to integrate analytics into business processes and ensure alignment with organizational goals.
• Innovation: Continuously seek out and implement innovative solutions using big data and machine learning to improve operational efficiency.
• Industry Awareness: Maintain a keen awareness of developments in finance, payments, and analytics to inform best practices and strategic planning.

Why Join American Express

American Express is renowned not only for its financial services but also for its commitment to fostering a diverse and inclusive company culture. Employees enjoy competitive base salaries and bonus incentives, alongside comprehensive medical, dental, and vision benefits. The organization prioritizes the financial well-being and career development of its employees, offering robust training opportunities and support for professional growth.

Moreover, American Express is committed to a flexible working model, accommodating both hybrid and remote arrangements, ensuring that employees can maintain a healthy work-life balance. With generous paid parental leave policies and access to wellness centers, employees are encouraged to take care of their well-being. Joining American Express means becoming part of a forward-thinking company that values innovation, teamwork, and the continuous pursuit of excellence.

Industry Trends and Job Market Value

The demand for data science professionals continues to soar as organizations increasingly recognize the value of data-driven decision-making. In today’s market, positions like the Data Science Analyst at American Express are highly sought after, particularly for individuals with the right blend of technical skills and analytical prowess. As companies navigate an ever-evolving digital landscape, the ability to harness big data will be a crucial differentiator in the competitive financial services industry.

For freshers looking to establish a career in data science, this role presents a unique opportunity to gain hands-on experience and contribute to impactful projects. With the right skills and a passion for innovation, you can play a vital role in shaping the future of financial analytics.

How to Apply

If you are ready to take the next step in your career and join a leading company that values your contributions, don’t miss this opportunity to apply for Data Science Job Openings at American Express – WFH(Hybrid). Click the button below to submit your application!

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