Do you have a passion for analytics and data science? Are you looking to launch your career with a global financial leader that values innovation and excellence? American Express is hiring Software Analysts – Data Science for their offices in Gurugram and Bengaluru, India. If you have a knack for big data, machine learning, and advanced analytics, this is your opportunity to shine!
About American Express
American Express (Amex) has long been recognized as a global leader in financial services. The company is not just about credit cards and payments; it’s a hub for innovation, data-driven decision-making, and fostering partnerships across the globe. Amex is committed to empowering businesses to manage risks, adapt to regulations, and develop ground breaking products while fostering effective collaborations.
Job Role: Software Analyst – Data Science
- Designation: Software Data Science Analyst
- Location: Gurugram, Bengaluru, India
- Experience: Freshers (0–3 years)
- Qualification: Bachelor’s or Master’s Degree in a relevant field
Key Responsibilities
As a Software Analyst – Data Science, you will:
Analytics & Insight Generation:
- Analyze vast datasets to extract actionable insights.
- Use advanced analytics tools to solve complex business problems.
Machine Learning & Innovation:
- Develop innovative machine learning models to enhance decision-making processes.
- Utilize advanced algorithms like neural networks, decision trees, and reinforcement learning to create impactful solutions.
Business Integration:
- Work closely with cross-functional business partners worldwide.
- Understand the core business levers of American Express and contribute to strategic decisions.
Data-Driven Solutions:
- Leverage Amex’s closed-loop network to build intelligent and relevant decision-making frameworks.
- Innovate using big data technologies like Hive, Spark, and MapReduce techniques.
Communication & Leadership:
- Present business findings and insights clearly to leadership and stakeholders.
- Stay updated with developments in the fields of finance, payments, and analytics.
Required Skill Set
Technical Expertise:
- Proficiency in SAS, R, Python, Hive, Spark, and SQL.
- Deep understanding of coding, algorithms, and high-performance computing.
Data Science Knowledge:
- Familiarity with machine learning techniques like transfer learning, Bayesian models, Gaussian processes, and attribute engineering.
- Knowledge of neural models, graphical models, and reinforcement learning techniques.
Problem-Solving Skills:
- Strong analytical and innovative problem-solving abilities.
- Ability to work independently on complex and unstructured initiatives.
Teamwork and Communication:
- Exceptional collaboration and interpersonal skills to work effectively in diverse teams.
- Ability to articulate findings and ideas clearly to stakeholders.
Business Acumen:
- An understanding of finance, payments, and analytics is a plus.
- A keen eye for integrating business needs with technical solutions.
Eligibility Criteria
Educational Qualification:
- A Bachelor’s or Master’s degree in fields such as Data Science, Computer Science, Statistics, or Mathematics is required.
Experience:
- Freshers with 0–3 years of relevant experience are eligible to apply.
Additional Skills:
- Familiarity with big data workstreams, machine learning models, and financial analytics will strengthen your application.
Why Join American Express?
Global Impact:
- Work on meaningful projects that make a difference in the financial industry globally.
Innovation-Driven Environment:
- Be part of a team that thrives on innovation, data analytics, and machine learning advancements.
Career Growth:
- Enjoy professional development opportunities and career progression in a supportive environment.
Collaborative Culture:
- Collaborate with skilled professionals across various domains in an inclusive and engaging workplace.
Technology & Learning:
- Leverage advanced analytics tools and techniques while staying at the forefront of technological developments.
How to Apply
If you’re ready to make an impact and grow with American Express, here’s how you can apply:
- Visit the American Express Careers page.
- Search for the job title Software Analyst – Data Science.
- Fill out the online application and upload your resume.
APPLY NOW
Tips for a Successful Application
- Customize Your Resume: Highlight relevant skills like SAS, Python, and machine learning projects.
- Emphasize Analytics Experience: Showcase internships or academic projects that involved data analysis or machine learning.
- Prepare for Interviews: Brush up on core concepts in data science, coding, and business analytics.
Conclusion
Joining American Express as a Software Analyst – Data Science is your gateway to an exciting career in analytics and technology. With its rich legacy and forward-thinking culture, Amex offers you the platform to innovate, learn, and grow.
Don’t miss the chance to be part of a global leader driving transformation in the financial and data science landscape. Apply today and take the first step toward a promising future with American Express!
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