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

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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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