📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company American Express 👥 Experience 0-2 years 🎓 Qualification MBA / Master’s Degree in Economics, Statistics, Computer Science or related quantitative field 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Banking & Finance 🛠 Key Skills Data Science Machine Learning Statistical Modeling Predictive Analytics Big Data Risk Analytics Fraud Analytics Data Analysis Analyst – Data Science at American Express — Full Details & How to Apply American Express is seeking an Analyst – Data Science in Gurugram, Haryana, India , where freshers can utilize their quantitative skills in a pivotal banking role. This position is ideal for those looking to kickstart their careers in a field that is increasingly vital for data-driven decision-making in finance. The demand for data science expertise in the banking sector is surging, making this Analyst – Data Science role crucial for American Express 's strategic initiatives. As financial institutions increasingly rely on data analytics to enhance customer experiences and mitigate risks, this position offers a unique opportunity to be at the forefront of these transformative efforts. This role is perfect for 2022, 2023, 2024, 2025 graduates with an MBA / Master’s Degree in Economics, Statistics, Computer Science or related quantitative field and 0-2 years experience . While the salary is Not Disclosed , the career trajectory promises rapid advancement in a high-demand field. As an Analyst – Data Science , you will work with essential skills such as Data Science , Machine Learning , Statistical Modeling , Predictive Analytics , Big Data , Risk Analytics , and Fraud Analytics . This role opens doors to various career paths in data analytics, risk management, and beyond, providing exposure to cutting-edge technologies that many competitors may not offer. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated non-tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Analyst – Data Science role at American Express is to leverage data-driven insights to enhance business strategies and improve customer experiences through advanced analytics. Analyze large datasets using statistical modeling techniques to derive actionable insights that inform business strategies and decision-making. Utilize machine learning algorithms to predict customer behavior, enhancing fraud detection capabilities and minimizing financial risks. Collaborate with the Risk Analytics and Fraud Analytics teams to develop comprehensive risk assessment models that address potential vulnerabilities. Monitor key performance metrics to evaluate the effectiveness of data-driven initiatives, ensuring alignment with business objectives. Take ownership of data quality assessments and propose improvements to enhance analytical accuracy and reliability. Document findings and present reports to stakeholders, ensuring clear communication of complex data insights and their implications. Engage with clients to understand their needs and provide data-driven solutions that enhance their overall experience with American Express . This role fosters an ownership culture, allowing analysts to directly impact business outcomes through their analytical contributions and innovative solutions. Required Skills & Technical Competencies The skill profile for this role emphasizes a strong foundation in data science and analytics, essential for interpreting complex datasets and driving business decisions. Technical Skills Data Science — entry — essential for analyzing and interpreting complex datasets to inform business decisions, requiring proficiency in Python or R . Machine Learning — entry — crucial for developing predictive models that drive business strategies, with practical applications in fraud detection . Statistical Modeling — entry — used daily to analyze trends and patterns, ensuring data-driven decision-making across departments. Big Data — entry — familiarity with tools like Hadoop or Spark is beneficial for handling large datasets effectively. Predictive Analytics — entry — evaluated through practical assessments during the hiring process to gauge proficiency in forecasting techniques. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world scenarios. Eligibility Criteria This role is designed for recent graduates who possess a strong analytical foundation and are eager to apply their academic knowledge in a practical setting. Candidates must hold an MBA or Master's Degree in Economics , Statistics , Computer Science , or a related quantitative field. Eligible batches include 2022 , 2023 , 2024 , and 2025 , allowing recent graduates to apply their academic knowledge. The role is open to freshers with 0-2 years of experience, making it ideal for recent graduates. A minimum academic performance of 60% is preferred, reflecting a strong grasp of quantitative subjects. Having a portfolio or GitHub showcasing relevant projects or internships can significantly enhance a candidate's profile. Documentation & Portfolio Requirements Ensure your resume is clear and concise, including your academic qualifications, relevant skills, and any projects or internships that demonstrate your analytical capabilities. Pro tip: Highlight specific projects in your portfolio that utilized machine learning or predictive analytics to showcase your hands-on experience in data science. Salary for Analyst – Data Science at American Express 💰 Compensation Not Disclosed The advertised compensation for the Analyst – Data Science role at American Express is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Analyst – Data Science Upskilling with the right resources significantly improves your chances of selection for this role by enhancing your relevant skills and knowledge. Recommended Courses & Resources MS Office — Proficiency in MS Office is essential for data analysis and reporting tasks. Communication Skills — Strong communication skills are crucial for presenting data insights effectively. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight relevant skills and experiences specific to data science roles. ❌ Neglecting to quantify achievements — Quantify your contributions in previous projects or internships. ❌ Using generic language — Use specific terms related to data science and analytics. ❌ Overlooking portfolio importance — Create a well-structured portfolio showcasing relevant projects. ❌ Not preparing for technical interviews — Practice data analysis problems and case studies. ❌ Submitting unproofread applications — Always proofread for errors to reflect attention to detail. Before You Apply — Checklist ✅ Research American Express and understand its core values and recent developments before applying. ✅ Tailor your resume to include relevant skills and experiences that align with the job description. ✅ Prepare a cover letter that articulates your interest in the role and how your background fits. ✅ Gather any necessary documents, such as transcripts or certificates, to support your application. ✅ Ensure your LinkedIn profile is updated and reflects your resume accurately. ✅ Practice common data science interview questions to prepare for potential technical assessments. ✅ Follow the application instructions carefully to ensure all required fields are completed. ✅ Set reminders to track the status of your application and follow up if necessary. Resume Tailoring & ATS Keywords for Analyst – Data Science Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Data Science Machine Learning Statistical Modeling Predictive Analytics Big Data Risk Analytics Fraud Analytics Data Analysis Quantitative Analysis Python R Hadoop Resume Tips for This Role Highlight relevant coursework or projects in data science and analytics to align with the role's requirements. Emphasize teamwork and collaboration experiences, especially in cross-functional projects relevant to banking. Include a link to your portfolio or GitHub showcasing data analysis projects to demonstrate practical skills. Optimize your resume for ATS by incorporating keywords from the job description to improve visibility. Avoid including unrelated work experiences that do not demonstrate your analytical or quantitative skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including vague statements or irrelevant experiences that do not pertain to data science. How to Apply for Analyst – Data Science at American Express Apply Now — American Express Visit the American Express careers page and locate the Analyst – Data Science job listing. Prepare your resume in PDF format, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, ensuring all required fields are completed. After submission, expect an email confirmation and keep an eye on your inbox for further communication. Use the application portal to track the status of your application and follow up if necessary. Applications reviewed on rolling basis — early submission recommended. Apply Now — American Express NexisGrow.com does not charge any fees for job applications. American Express American Express was founded in 1850 and is headquartered in New York City . With a significant presence in over 130 countries , the company employs over 60,000 people globally. Its expansive operations allow it to serve millions of customers, making it a key player in the banking and finance industry. Known for its diverse range of products, American Express offers charge and credit card products, travel services, and payment solutions. The company’s flagship offerings include the American Express Platinum Card and American Express Gold Card , which cater to various customer needs and preferences. American Express has received numerous accolades for its workplace culture, including a Glassdoor rating of 4.2 . The company emphasizes employee satisfaction through comprehensive training programs and mentorship opportunities, fostering a supportive environment for professional growth. Recently, American Express announced a strategic investment in AI technologies aimed at enhancing customer experience and operational efficiency. This initiative reflects the company’s commitment to innovation and adapting to the evolving financial landscape. For freshers in Banking & Finance, American Express serves as a robust career launchpad. The company provides unparalleled access to industry-leading training programs, mentorship, and exposure to cutting-edge technologies, making it an ideal environment for developing essential skills in the finance sector. Company Details Industry Banking & Finance Location Gurugram, Haryana, India Connect With Us Careers Apply Now Website 🔗 careers.americanexpress.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Analyst – Data Science at American Express? Eligibility Tap to expand + Answer Candidates with MBA / Master’s Degree in Economics, Statistics, Computer Science or related quantitative field and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Data Science, Machine Learning, Statistical Modeling, Predictive Analytics, Big Data. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at American Express? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Data Science, Machine Learning, Statistical Modeling, Predictive Analytics, Big Data. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Analyst – Data Science interview? Preparation Tap to expand + Answer (1) Core concepts of Data Science, Machine Learning, Statistical Modeling, Predictive Analytics, Big Data, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) American Express research, (5) Clear communication. ? What is the work culture like at American Express? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Gurugram Browse all Non-Tech jobs More jobs at American Express Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com