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American Express is recruiting for a fresher entry level Data Scientist job


Position:

Analyst - Data Science

Company:

American Express

Location:

Gurugram, Haryana, India

Job Type:

Full-time

Job Mode:

Hybrid

Job Requisition ID:

24013563

Years of Experience:

0-3 years



Company Description:

  • Global Presence:

    • American Express (Amex) operates in numerous countries.
    • Known for its commitment to providing exceptional customer service.
  • Values:

    • Strong emphasis on integrity.
    • Focus on fostering an inclusive environment where everyone feels valued.
  • Employee Support:

    • Offers extensive benefits and programs.
    • Promotes personal and professional growth through various initiatives.
  • Culture:

    • Encourages a diverse and collaborative work environment.
    • Aims to support employees' career journeys with flexibility and backing.
  • Recognition:

    • Values contributions, leadership, and impact of each employee.
    • Strives to ensure that every colleague feels seen and heard.
  • Mission:

    • Dedicated to upholding the promise of providing the world’s best customer experience daily.
    • Committed to helping people and businesses progress with the right support.

Profile Overview:

  • Role Focus:

    • Part of the Model Risk Management Group (MRMG) within the Global Risk and Compliance Group.
    • Responsible for managing and controlling model risk, particularly related to Gen AI (Large Language Models).
  • Key Responsibilities:

    • Oversee enterprise-wide models, emphasizing machine learning for NLP/NLU, marketing, credit, fraud, etc.
    • Conduct gap assessments to enhance model risk controls and meet regulatory standards.
    • Perform AI/ML research to drive model excellence and business impact.
    • Communicate findings to partners, senior leadership, and model committees.
  • Success Factors:

    • Effectively challenge the soundness of predictive models.
    • Innovate and maximize business returns through efficient models.
    • Lead with a digital mindset, ensuring continuous innovation.
    • Make quick, integrity-driven decisions, and foster a collaborative environment.
  • Experience Required:

    • 0-3 years in analytics, modeling, data science, or model risk management.
  • Educational Background:

    • MBA or Master’s Degree in Machine Learning, Computer Science, Statistics, or related fields from a top-tier institute.

Qualifications:

  • Functional Skills:

    • Hands-on experience in model development or validation.
    • Strong analytical, relationship, and project management skills.
    • Proficiency in advanced statistical and quantitative techniques.
    • Excellent verbal, written, and interpersonal skills.
    • Ability to work effectively in a team environment.
  • Technical Skills:

    • Proficient in Python, R, JAVA, or other data manipulation tools.
    • Expertise in Gen AI, Machine Learning, Artificial Intelligence.
    • Knowledge of supervised and unsupervised techniques, neural models, decision trees, reinforcement learning, etc.
  • Behavioral Skills:

    • Enterprise leadership behaviors.
    • Strong emphasis on communication, collaboration, and decision-making.
    • Commitment to the Blue Box Values and leadership courage.

Additional Info:

  • Employee Benefits:

    • Competitive base salaries and bonus incentives.
    • Financial well-being and retirement support.
    • Comprehensive medical, dental, vision, life insurance, and disability benefits.
    • Flexible working model with hybrid, onsite, or virtual arrangements.
    • Generous paid parental leave policies.
    • Free access to on-site wellness centers and counseling support.
    • Career development and training opportunities.
  • Equal Opportunity Employer:

    • American Express makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
  • Employment Condition:

    • Employment is contingent upon successful background verification check as per applicable laws and regulations.

Please click here to apply.

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