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

Position:

Analyst-Data Science

Company:

American Express

Location:

Gurugram, Haryana, India

Job type:

Full-time

Job mode:

Hybrid

Job requisition id:

24012205

Years of experience:

0-4 years

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Company Description

• Global Financial Services Company: American Express is a renowned global financial services corporation.
• Commitment to Innovation: Focuses on providing innovative solutions to meet customer needs.
• Strong Corporate Culture: Emphasizes integrity, customer service, and inclusivity.
• Global Presence: Operates in numerous countries, offering diverse career opportunities.
• Employee Growth: Prioritizes employee development with various training and career advancement programs.
• Diversity and Inclusion: Champions diversity, equity, and inclusion within the workplace.
• Comprehensive Benefits: Offers extensive benefits to support employees' physical, financial, and mental well-being.
• Customer-Centric: Dedicated to delivering exceptional customer experiences.
• Environmental Responsibility: Actively engages in sustainability and environmental initiatives.
• Technological Advancement: Invests in cutting-edge technology to enhance services and operations.
• Collaborative Environment: Promotes teamwork and cross-functional collaboration.
• Ethical Practices: Maintains high standards of ethical conduct and corporate governance.
• Supportive Work Culture: Encourages a supportive and engaging work environment.
• Community Engagement: Involved in various community and philanthropic activities.
• Inclusive Leadership: Leadership focused on inclusivity and employee engagement.
• Focus on Well-Being: Prioritizes holistic well-being of employees through various programs and resources.
• Global Network: Part of a vast network providing a wide range of financial services globally.
• Strategic Partnerships: Engages in strategic partnerships to enhance service offerings.
• Reputation for Excellence: Known for excellence in service and corporate responsibility.
• Career Development: Offers opportunities for career growth and skill development.

Profile Overview

• Model Risk Management: Responsible for managing and controlling model risks.
• AI/ML Focus: Emphasis on next-generation Artificial Intelligence and Machine Learning models.
• Regulatory Compliance: Ensures adherence to heightened regulatory expectations.
• Risk Controls: Establishes robust frameworks for model risk controls.
• Business Impact: Drives business impact through model excellence.
• Innovation: Explores innovative modeling techniques.
• Research: Conducts research to elevate model standards.
• Communication: Effectively communicates findings to stakeholders.
• Enterprise-Wide Oversight: Provides oversight across various business/risk types.
• Collaboration: Works with cross-functional teams to drive initiatives.
• Model Development: Involves hands-on model development and validation.
• Efficiency: Enhances modeling efficiency using advanced techniques.
• Strategic Thinking: Connects role agenda to enterprise priorities.
• Leadership: Demonstrates leadership and decision-making agility.
• Customer Experience: Focuses on delivering exceptional customer experiences.
• Analytical Skills: Utilizes strong analytical skills to drive validation initiatives.
• Project Management: Manages projects effectively within tight deadlines.
• Technical Expertise: Proficient in data manipulation tools and advanced techniques.
• Business Outcomes: Challenges and validates predictive models for business returns.
• Integrity: Upholds the highest level of integrity in decision-making.
• Digital Mindset: Adopts a digital-first approach in operations.
• Team Collaboration: Encourages collaboration within and across teams.
• Continuous Improvement: Strives for continuous improvement in model development.

Qualifications

• Educational Background:

  • MBA, Master’s Degree in Economics, Statistics, or related fields from a top-tier institute.

• Experience:

  • 0-4 years in analytics or big data workstreams.

• Skills and Capabilities:

  • Model Development: Hands-on experience in model development or validation.
  • Analytical Skills: Strong analytical capabilities for solving business problems.
  • Project Management: Effective relationship and project management skills.
  • Communication: Excellent verbal, written, and interpersonal communication skills.
  • Teamwork: Ability to work collaboratively in a team environment.
  • Adaptability: Flexibility to work within tight deadlines and changing priorities.
  • Technical Proficiency: Experience with data manipulation tools such as R, JAVA, SQL, and SAS.
  • Advanced Techniques: Proficiency in Machine Learning/Artificial Intelligence techniques.
  • Coding Expertise: Strong coding skills in relevant programming languages.
  • Problem-Solving: Application of advanced statistical techniques to business problems.
  • Cross-Functional Collaboration: Willingness to collaborate across teams for validation and project execution.
  • Result Communication: Ability to communicate complex analytical results to business partners and senior management.

• Attributes:

  • Integrity: High level of integrity in decision-making.
  • Learning Agility: Quick decision-making and adaptability.
  • Innovative Thinking: Continuous innovation and challenging the status quo.
  • Customer-Centric: Focus on delivering the best customer experiences.

Any Additional Info

• Benefits:

  • Competitive base salaries.
  • Bonus incentives.
  • Financial well-being and retirement support.
  • Comprehensive medical, dental, vision, life insurance, and disability benefits.
  • Flexible working models (hybrid, onsite, virtual).
  • Generous paid parental leave policies.
  • Access to global on-site wellness centers.
  • Confidential counseling support through Healthy Minds program.
  • Career development and training opportunities.

• Work Culture:

  • Inclusive and diverse work environment.
  • Recognition for contributions and leadership.
  • Opportunities for career growth and skill development.
  • Supportive and engaging work environment.
  • Commitment to employee well-being and holistic support.
  • Collaborative and innovative work culture.
  • Emphasis on integrity and ethical practices.

• Company Values:

  • Dedication to customer service excellence.
  • Upholding the highest standards of integrity.
  • Fostering a sense of belonging and inclusivity.
  • Commitment to environmental and social responsibility.
  • Continuous innovation and improvement.

• Equal Opportunity Employer:

  • Employment decisions made 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 Conditions:

  • Offer of employment conditioned upon successful completion of background verification check, subject to applicable laws and regulations.

Please click here to apply.

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