American Express is hiring for an FRESHER entry level Analyst - Data Science role in India

Position: Analyst - Data Science

Company: American Express (Amex)

Location: Gurugram, HR, India

Job type: Full-time

Job mode: Hybrid

Job requisition id: 26015352

Years of experience: 0-18 months

Company description

• American Express is a renowned global financial services corporation operating worldwide with a distinguished 175-year legacy of continuous innovation, customer trust, and robust service standards.

• The organization specializes in delivering premier payment solutions, premium credit card products, merchant services, and integrated corporate travel capabilities.

• At its core, American Express is dedicated to providing superior financial value, backed by a uncompromising risk mindset and exceptional customer service across international markets.

• The corporate culture prioritizes backing its colleagues, global communities, and diverse customer base through holistic growth, competitive compensation, and inclusive workplace initiatives.

• The company heavily leverages state-of-the-art technology, advanced predictive modeling, scalable data architectures, and financial engineering to drive strategic decisions.

• Key global executive leadership, finance committees, forecasting units, and product teams rely on the organization's sophisticated analytical engine to steer corporate growth.

• Operating with high integrity, American Express fosters an environment that values diverse perspectives, continuous learning, and multidisciplinary talent development.

• Employees at American Express benefit from competitive financial backing, flexible work models, global health programs, and structural career development frameworks.

• The enterprise remains an equal opportunity employer committed to cultivating a workforce built on shared values, proactive leadership behaviors, and collaborative achievement.

• The company constantly modernizes its analytical infrastructure to maintain market leadership, safeguard global enterprise investments, and deliver transformative financial technology experiences globally.

Profile overview

• The Analyst - Data Science position within American Express focuses directly on International Customer Investment Optimization and Prospect Data Analytics.

• This key analytical role sits within a high-impact team designed to serve as an indispensable partner for senior business leaders and Finance Officers.

• The primary scope includes delivering comprehensive consultation regarding Return on Investment (ROI), financial investment utilization, corporate revenue yield, and essential performance metrics.

• Core organizational stakeholders span across the highest levels of the enterprise, including the Chief Executive Officer, Chief Financial Officer, Executive Committee, and Enterprise Forecasting groups.

• Additional strategic interactions take place regularly with Planning & Analysis, Investor Relations, Marketing teams, Enterprise Risk Management, and Business Unit CFO groups.

• The overarching vision for this position is to transform how enterprise data science credibly fuels sustainable, long-term organizational expansion across international regions.

• Analysts act as key pioneers in applying next-generation analytics technologies, modern statistical modeling, and scalable cloud computing frameworks to enterprise finance.

• The daily responsibilities demand continuous re-invention of corporate forecasting methods, trackable metrics, and operational evaluation processes using contemporary tools.

• The selected candidate will focus on establishing industry standards for data science applications across marketing investments, customer acquisition channels, and profitability models.

• Key functions require generating actionable insights, performing regular hypothesis testing, constructing robust scorecard suites, and answering ad-hoc analytical queries smoothly.

• The analyst will participate in annual enterprise planning cycles, delivering long-term prospective forecasts that directly shape multi-million dollar corporate budgets.

• Success in this role requires translating complex statistical findings into straightforward strategic executive summaries to steer business decisions agilely.

• The role emphasizes seamless cross-functional team collaboration to identify hidden market opportunities, dissect operational procedures, and engineer innovative data-driven solutions.

• Furthermore, candidates will adapt and integrate emerging machine learning frameworks, ensuring clean, high-performing coding practices across production systems.

• Ultimately, the role combines rigorous quantitative modeling, big data pipeline engineering, and high-level strategic business consultation in a dynamic hybrid work environment.

Qualifications

• Educational background must feature a Bachelor's degree in Quantitative Statistics, Mathematics, Financial Economics, Computer Engineering, or a closely related technical discipline.

• Candidates holding a Master's or Post-Graduate degree in Statistics, Applied Mathematics, Economics, Systems Engineering, or Business Management will be given strong preference.

• Professional work experience criteria requires between 0 to 18 months of hands-on technical experience in quantitative modeling, data analysis, or financial analytics.

• Applicants must demonstrate highly developed analytical reasoning capabilities paired with exemplary executive presentation abilities and inter-personal communication skills.

• Proven technical proficiency in core programming languages, specifically Python, SQL, and Hive, for complex data extraction and analytical script development.

• Practical familiarity and hands-on exposure to advanced distributed big data computing technologies including PySpark, Managed ML Services (MLS), and Google Cloud Platform.

• Demonstrated competency utilizing industry-standard business intelligence and interactive data visualization tools, specifically Tableau and Power BI.

• Strong practical skills in full-lifecycle data operations, encompassing data extraction, large-scale data cleansing, data transformation, and feature engineering.

• Direct working knowledge of rigorous statistical methodologies, exploratory data analysis, quantitative risk modeling, predictive machine learning algorithms, and hypothesis testing.

• Capable of dissecting sprawling tabular datasets to uncover underlying statistical correlations, actionable business insights, and structural operational efficiencies.

• Strong ability to translate complex statistical and mathematical outputs into intuitive visual charts, dashboards, and concise strategic reports for non-technical stakeholders.

• Proven experience working with version control systems, modern development environments, and standardized coding best practices for analytics reproducibility.

• Ability to design scalable analytical workflows, maintain clean script repositories, and adhere to corporate data governance and security frameworks.

• Comfortable working in fast-paced corporate environments, managing competing project timelines, prioritizing tasks, and handling demanding enterprise deliverables independently.

• A strong risk-management mindset, high attention to detail, and a persistent drive to learn and master next-generation machine learning tools.

Additional info

• The official job schedule for this opportunity is a Full-Time position operating on regular Day Shifts at the Gurugram campus in Haryana, India.

• American Express provides a modern, flexible hybrid work arrangement blending regular office-based collaboration with remote work flexibility based on business needs.

• Candidates will operate from the state-of-the-art American Express facility located in Sub Tehsil Kadipur, Gurugram, HR, 122004, India.

• The total reward package includes highly competitive baseline salaries along with performance-driven annual bonus incentives and structured financial merit increases.

• Comprehensive holistic benefits encompass robust medical, dental, vision, life insurance coverage, and long-term disability protection policies tailored to local standards.

• Financial wellness benefits feature corporate retirement contributions, pension planning support, and competitive personal savings programs to back long-term security.

• Employees enjoy generous paid parental leave programs designed to support expanding families and promote healthy work-life balance for all team members.

• On-site facilities include free access to dedicated global wellness centers staffed with qualified professional medical doctors and registered nurses.

• Mental health support is comprehensively backed via the free, confidential Healthy Minds counseling and psychological support initiative for employees and families.

• Continuous corporate learning initiatives provide continuous access to professional certification courses, leadership development tracks, and technical skills training.

• The company operates strictly as an equal opportunity employer, executing employment decisions without regard to race, religion, gender, age, disability, or national origin.

• Candidates applying must successfully undergo and complete standard corporate background verification checks as mandated by applicable local regulations.

• The post features high visibility across global enterprise leaders, giving early-career analysts immediate access to impactful financial datasets and high-level career mentorship.

• The analytical solutions designed within this team directly influence global marketing spend, enterprise customer loyalty initiatives, and international revenue optimization strategies.

• Team members are encouraged to innovate continuously, test novel analytical frameworks, and active participation in the broader global data science community within American Express.

Please click here to apply.