American Express is hiring for a fresher entry level Data Scientist role in India

Position:

• Analyst – Data Science

Company:

• American Express

Location:

• Gurugram, Haryana, India

Job type:

• Full-time

Job mode:

• Hybrid

Job requisition id:

• 25006352

Years of experience:

• 0 to 18 months

Company Description:

• American Express is a globally recognized and respected financial services organization with a mission to provide the best customer experience every day. With decades of trust, innovation, and integrity behind it, American Express remains at the forefront of financial technology and customer-centric service delivery. The company is committed to powering commerce around the world by delivering innovative payment, travel, and expense management solutions for individuals and businesses of all sizes.

• As an employer, American Express values inclusivity, diversity, and personal growth. Every colleague is empowered to be part of a dynamic work culture that fosters learning, growth, and recognition. With global operations, American Express is dedicated to supporting customers, communities, and employees by backing them with innovative tools, strategic investments, and a strong sense of community.

• Through a range of programs, benefits, and career development initiatives, American Express supports its employees holistically. Whether it is through mental wellness initiatives, flexible working models, or leadership opportunities, the organization ensures that everyone is seen, heard, and valued. This culture of support, paired with a collaborative work environment, is what makes American Express not just a place to work, but a place to build a career.

Profile Overview:

• The Analyst – Data Science role is positioned within the Data Science and Analytics team, which focuses on driving international customer investment optimization and supporting prospect analytics. The primary objective of this team is to collaborate with business units and finance leaders to enhance investment decisions and yield maximum business impact.

• The role is designed for recent graduates or individuals with up to 18 months of experience, who possess strong analytical capabilities and a passion for data-driven decision-making. This position plays a vital role in creating forecasting models, performance metrics, and actionable business insights. By leveraging next-generation technologies and tools, analysts are expected to set benchmarks for excellence in data science practices.

• Working closely with stakeholders from diverse functions such as Marketing, Finance, Investor Relations, Risk, and Business Unit CFOs, the analyst will act as a key contributor to enterprise-wide growth strategies. The analyst is not only responsible for delivering robust analytical solutions but also for shaping the future of advanced analytics at American Express through innovation, collaboration, and continuous improvement.

• This is an opportunity to work in a fast-paced, hybrid work environment that combines flexibility, cutting-edge technology, and a commitment to professional development. The ideal candidate will possess a strong foundation in data analysis, statistical modeling, machine learning, and a good understanding of business metrics.

Qualifications:

• A bachelor’s degree in disciplines such as Statistics, Mathematics, Economics, or Engineering is required to apply for this position.

• Post-graduate degrees in similar domains or Management are preferred and may give candidates an edge in understanding complex data-driven strategies and stakeholder communications.

• The ideal applicant should have 0 to 18 months of relevant work experience, making this role suitable for fresh graduates or those in the early stages of their career.

• Proficiency in analytical techniques, coupled with the ability to present insights clearly and interact professionally with various stakeholders, is essential.

• Practical experience in using modeling and statistical techniques, such as hypothesis testing and machine learning, is highly valuable.

• Candidates should have hands-on skills in data mining, cleansing, and transforming datasets for effective analysis and decision-making.

• A solid working knowledge of Python, PySpark, SQL, Hive, and related programming or querying tools is important.

• Familiarity with data visualization platforms like Tableau or Power BI will be considered an added advantage for reporting and dashboard creation.

Additional Info:

• As part of its employee-first culture, American Express offers competitive salary packages complemented by performance-based bonus incentives to reward individual contributions and team success.

• Comprehensive insurance benefits, including medical, dental, vision, disability, and life insurance, ensure holistic well-being and security for employees and their families.

• A robust retirement support system is available to help employees plan for their financial future and long-term goals.

• Flexible working arrangements, such as hybrid, onsite, or virtual models, cater to diverse lifestyles and enhance work-life balance.

• Generous paid parental leave policies ensure that employees can prioritize family responsibilities without compromising on their career growth.

• Employees in select locations can access on-site wellness centers, complete with professional nurses and doctors for medical assistance.

• The Healthy Minds program offers confidential and free counseling services to support employees' mental well-being and emotional resilience.

• Career development programs, training workshops, and mentorship initiatives are actively promoted to support continuous learning and growth.

• American Express upholds equal opportunity and is committed to building an inclusive workplace. Employment decisions are based solely on merit, qualifications, and business needs, without regard to race, religion, gender, sexual orientation, disability, or other protected statuses.

• All employment offers are contingent upon successful completion of background verification checks as required by applicable regulations.

Please click here to apply.

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