Exciting news for freshers and early-career professionals! **American Express (Amex)**, the global leader in payments and financial services, is actively recruiting for the **Analyst – Data Science** role in **Bengaluru**. This is your chance to kickstart your career with one of the world’s most innovative companies, working on cutting-edge data science projects in risk management, fraud prevention, and business analytics.
About **American Express** and Bengaluru Opportunities
American Express is a globally integrated payments company powering commerce worldwide. In **Bengaluru**, Amex boasts a thriving tech hub focused on data analytics, machine learning, and risk management. Employees rave about the supportive culture, learning opportunities, and innovation-driven environment. As Sr Analyst Mohandass shares, “Amex has been more than a family… fostering learning & innovation from day one.”
**Key Responsibilities** as Data Science Analyst
Joining as an **Analyst – Data Science**, you’ll tackle real-world challenges using Amex’s vast data assets. Core duties include:
- Analyze large datasets to derive **business insights** and innovative solutions.
- Develop, deploy, and validate **predictive models** for risk, fraud, and marketing decisions.
- Leverage big data tools like **Python, SQL, Hive, PySpark** for intelligent decision-making.
- Innovate with machine learning techniques: decision trees, neural models, reinforcement learning, and more.
- Establish data governance frameworks and contribute to **Financial Crimes prevention**.
- Articulate findings to leadership and collaborate with cross-functional global teams.
**Eligibility Criteria** and Required Skills
This role targets **freshers** (0-2 years experience) with strong academic backgrounds. Check if you qualify:
Minimum Qualifications:
- **MBA, Master’s in Economics, Statistics, Computer Science**, or related fields.
- Bachelor’s in **Statistics/Mathematics/Economics/Engineering**.
- 0-30 months in analytics or big data.
- Proficiency in **Python, SQL, Hive, Spark, R, SAS**.
- Advanced stats, unsupervised/supervised ML techniques.
Preferred: Coding expertise, high-performance computing, and innovative problem-solving skills.
**Benefits** and Work Environment at Amex
- **Hybrid/WFH options** in Bengaluru & Gurugram.
- Full-time role with 5-day work week.
- Exposure to industry leaders in analytics and ML.
- Supportive culture promoting growth and innovation.
- Competitive salary (not disclosed; use our Salary Estimator for estimates).
How to Apply: Step-by-Step Process
- Visit the official Amex careers page or apply via this link
- Build a standout resume with our free Resume Builder and get it reviewed by Resume Reviewer.
- Optimize for ATS using ATS Score Checker.
- Craft a compelling cover letter with Cover Letter Generator.
- Prepare for interviews via Interview Preparation resources.
- Plan your career growth with Career Path Planner and explore Certification Suggestion for Data Science skills.
🔒 Disclaimer
The information in this post is intended for educational and promotional purposes only. The company is an equal opportunity employer and does not discriminate based on race, religion, gender, nationality, or disability. Always verify job details with the official website for the latest updates. This blog is not affiliated with or officially endorsed by the company.
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