Are you passionate about data, analytics, and problem-solving? Do you aspire to make a global impact in the financial services industry? American Express is seeking dynamic, skilled, and innovative fresh graduates to join us as Software Data Science Analysts at our Gurugram office.
About American Express
American Express is a global leader in providing exceptional products, services, and experiences to its customers. With a strong commitment to innovation and excellence, we empower businesses worldwide to manage risks, navigate regulations, and develop cutting-edge products. Our collaborative culture fosters partnerships across key stakeholders, enabling impactful results in a competitive global market.
Why Choose American Express?
Global Impact
- Work on projects that influence businesses across the globe.
Innovation-Driven Environment
- Be part of a team that embraces cutting-edge technologies like AI, ML, and NLP.
Career Development
- Gain access to mentorship, continuous learning opportunities, and structured career progression.
Competitive Benefits
- Enjoy an attractive compensation package with additional perks and benefits.
Job Overview
- Designation: Software Data Science Analyst
- Location: Gurugram, India
- Qualification: Bachelor’s/Master’s Degree
- Experience: Freshers / 0–3 Years
Key Responsibilities
As a Software Data Science Analyst, you will:
Business Understanding
- Collaborate with stakeholders to conceptualize business problems and design a Data Science/ML roadmap.
Algorithm Development
- Research, implement, and rigorously test machine learning algorithms to improve business processes and efficiency.
Data Wrangling and Insights
- Derive actionable insights from terabyte-scale data using advanced data wrangling and visualization techniques.
NLP Innovation
- Focus on solving problems using NLP techniques and deploying advanced mathematical frameworks for varied data sources.
Model Validation
- Develop robust testing and validation frameworks for machine learning models to ensure performance and scalability.
Scalable Solutions
- Design and deploy scalable solutions for large data ecosystems to drive business success.
Required Skills and Qualifications
Technical Skills
- Proficiency in Python and its libraries: pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers.
- Hands-on experience with machine learning techniques like Regression, Classification, Supervised/Unsupervised Learning, and Deep Learning.
- Strong knowledge of SQL for data handling and querying.
- Familiarity with deep learning frameworks like TensorFlow or PyTorch.
- Understanding and fine-tuning of Large Language Models (LLMs) is a plus.
Analytical Skills
- In-depth knowledge of statistics, mathematics, and foundational concepts like Linear Algebra, Bayesian Statistics, and Group Theory.
- Exceptional problem-solving skills with the ability to analyse and deconstruct problems from first principles.
Interpersonal Skills
- Ability to work in cross-functional teams.
- Strong communication skills for both technical and non-technical audiences.
Why Gurugram?
Gurugram, the financial and technological hub of India, offers a vibrant mix of modern infrastructure, excellent connectivity, and a thriving professional ecosystem. Working in Gurugram ensures access to a dynamic work-life balance and growth opportunities.
Selection Process
Online Assessment
- Test your programming, analytical, and machine learning skills.
Technical Interview
- Dive deep into your understanding of machine learning, NLP, Python, and statistical concepts.
HR Interview
- Discuss your career goals, aspirations, and organizational fit.
Compensation and Benefits
- Salary: Competitive package with a range of ₹5 LPA – ₹12 LPA.
- Growth Opportunities: Regular performance reviews, mentorship programs, and career development plans.
- Workplace Benefits: Employee wellness programs, hybrid work options, and a collaborative work culture.
How to Apply
Step 1: Visit the American Express Careers Portal.
- Submit your application along with an updated resume.
Step 2: Prepare for Assessments
- Review Python libraries, SQL queries, and machine learning basics.
Step 3: Excel in Interviews
- Highlight your analytical abilities, technical expertise, and passion for data science.
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