Analyst-Data Science

English
₹15000/MONTH
1 Year
Bachelor's (Preferred)
Work From Office
Apply now
Date Posted

13-Jul-2026

Location

Haryana (HR), 1

Job Type

Full Time

Company

Huntsman

Description

Job Title: Data Science Analyst

Company: American Express
Job Type: Full-time
Location: Gurugram, Haryana


About American Express

At American Express, we back our colleagues, customers, and communities. When you join Team Amex, you become part of a global, inclusive culture committed to professional growth, integrity, and delivering the world’s best customer experience. Here, your contributions are recognized, your voice is heard, and your career can thrive.


Role Overview

This role is part of the GSG Advanced Analytics team under the GSG MIS Centre of Excellence (COE). As a Data Science Analyst, you’ll support the design and implementation of machine learning models and NLP solutions to drive process improvements across the organization.


Key Responsibilities

  • Problem Solving & Business Understanding:

    • Translate business problems into structured ML roadmaps and models.

    • Apply research-driven approaches to create impactful solutions.

  • Algorithm Development & Testing:

    • Build and rigorously test machine learning models and NLP frameworks.

    • Deliver working solutions that outperform existing processes.

  • Coding & Model Deployment:

    • Write and debug code using Python (with libraries like pandas, numpy, nltk, spacy, etc.).

    • Apply performance testing and validation frameworks to evaluate models.

  • NLP & Deep Learning:

    • Deploy NLP techniques on varied text datasets using LSTMs, Transformers, or CNNs.

    • Leverage large-scale data to derive insights and build scalable ML pipelines.

  • Cross-Functional Collaboration:

    • Work closely with cross-functional teams and contribute to shared analytics goals.


Minimum Qualifications

  • Experience: 0–3 years in a Data Science or Machine Learning role

  • Technical Skills:

    • Strong knowledge of Python and libraries such as pandas, numpy, nltk, spacy, transformers, gensim, statsmodels, pyspark

    • Proven experience with machine learning techniques (regression, classification, clustering, recommenders, deep learning)

    • Hands-on experience with SQL

    • Strong data wrangling, visualization, and analytical thinking skills


Preferred Qualifications

  • Prior experience with:

    • Transformers, LSTMs, CNNs

    • Fine-tuning Large Language Models (LLMs)

    • TensorFlow or PyTorch

  • Strong foundation in:

    • Mathematics and Statistics (e.g., Linear Algebra, Bayesian Statistics, Group Theory)

    • First-principles problem solving and model interpretability


Benefits

  • Competitive base salary and bonus incentives

  • Comprehensive medical, dental, vision, life, and disability coverage (location-dependent)

  • Flexible work arrangements with Amex Flex (hybrid/virtual options)

  • Retirement and financial well-being support

  • Generous parental leave and adoption assistance

  • Access to on-site wellness centers (location-dependent)

  • Free and confidential counseling support through the Healthy Minds program

  • Career development, leadership training, and learning platform with 20,000+ courses


Inclusion & Opportunity

American Express is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, gender identity, sexual orientation, national origin, veteran status, disability, or age. We are committed to fostering a diverse and inclusive workplace.


Note

Employment at American Express is subject to successful completion of a background verification check, per applicable laws and regulations.


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