American Express Recruitment Drive; Hiring Data Analyst – Apply Now

Analyst - Data Science Job Openings in Gurgaon 2025!!!

American Express announced job vacancy for the post of Analyst-Data Science. The place of posting will be at Gurgaon (Hybrid). Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company	American Express
Required Qualifications	Graduate
Skills	Data science, analytics, or risk modeling
Category	Data Science
Work Type	Hybrid

They are seeking a highly motivated data scientist to join their team. The role offers the opportunity to contribute to cutting edge data science solutions in NLP, Anomaly detection and overall enterprise risk management. You will play a key role in developing proof of concepts, scalable tools, and models that protect company from (not limited to) financial, reputational, operations risks.

Θ Positions: Analyst-Data Science

Θ Job Location: Gurgaon (Hybrid)

Θ Salary: As Per Company Norms

Θ Job Type: Full Time

Θ Requisition ID: 25008842

Roles and Responsibilities:

• Collaborate on NLP based solutions for identifying Key Risk Indicators (KRIs) across customer interactions
• Support the development of out of pattern detection systems, using time series models and statistical methods
• Contribute to the planned expansion of risk monitoring tools and models into new areas within enterprise
• Assist in building new age GenAI models
• Partner closely with global stakeholders and platforms team to deliver high impact analytics in a fast paced, regulated environment and ensure end to end completion of projects from ideation to production stages
• Apply innovative concepts to measure & manage risks consistently with regulatory and governance requirements
• Identify emerging risk themes along with ideas for solutions
• Ability to work on multiple projects and ad-hoc tasks simultaneously

Required Skills & Qualifications:

• Bachelor's/master's degree in computer science, Engineering, Statistics, Mathematics or a related field
• 1-3 years of hands-on experience in data science, analytics, or risk modeling
• Proficiency in SQL & Python
• Understanding of machine learning principles and model development lifecycle and steps
• Strong analytical, problem-solving and communication skills

Preferred Qualifications:

• Experience in working on NLP projects
• Experience in working on GenAI projects
• Exposure to risk domains
• Familiarity with model governance - model interpretability and hyperparameter tuning
• Experience working with large scale datasets and productionizing data science solutions

Benefits:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

 

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