American Express is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Scientist (Analyst - Data Science)

Company:

• American Express

Location:

• Gurugram, Haryana, India

Job type:

• Full-time

Job mode:

• Hybrid (based on business needs)

Job requisition id:

• 25013832

Years of experience:

• 0-3 years

Company description:

• Founded over 175 years ago, American Express has consistently prioritized innovation and strong leadership values. The company operates on a foundation of backing customers, communities, and employees, fostering a culture where every individual's input is valued.

• It promotes personal and professional growth through diverse training opportunities, exposure to cutting-edge tools, and access to top industry experts.

• The company actively supports employee wellness with physical, mental, and financial well-being benefits. Whether it's career development or flexible work options, employees receive the support needed to excel.

• American Express embraces diversity and inclusivity, making employment decisions without bias. With a legacy of redefining customer experience, it now aims to shape the future using AI and data science advancements across business functions.

Profile overview:

• This role is part of the Credit and Fraud Risk (CFR) division, specifically within the AiDa Product team in the Global Data Science CoE.

• The primary goal is to power seamless, data-driven decision-making capabilities for fraud prevention and credit risk reduction across the company.

• The analyst will contribute toward creating and refining AI/ML-based products that enable advanced risk insights.

• The position involves collaborating with engineers, UX designers, and decision scientists to create tools used across the American Express ecosystem.

• Key aspects of the role include defining product strategy, executing innovative ideas, and building scalable machine learning solutions with global impact.

Job responsibilities:

• Contribute to the creation of long-term product strategies with defined business metrics.

• Own and manage product backlogs, prioritizing features based on evolving AI adoption and stakeholder requirements.

• Work closely with business stakeholders to identify high-impact problems and translate them into data science solutions.

• Support every aspect of the product lifecycle including market research, roadmap planning, and product rollout.

• Develop clear and detailed product requirement documents with testable outcomes.

• Collaborate with engineering teams to build production-grade AI/ML solutions.

• Work on transforming initial concepts or MVPs into scalable products.

• Contribute to designing training programs and delivering technical workshops on AI, Hive, Spark, and cloud services.

• Develop and validate proof-of-concept solutions for high-value AI/ML use cases.

• Promote new product features internally to drive user adoption across teams.

Qualifications:

• Undergraduate or master’s degree in Computer Science, Mathematics, IT, or related fields from reputed institutions.

• Solid foundation in data science principles including model development lifecycle and model governance.

• Strong coding and scripting skills using Python and SQL for data analysis and automation.

• Ability to analyze large datasets using tools like Hive, BigQuery, and PySpark.

• Exposure to model deployment platforms such as Vertex AI or other GCP AI services.

• Understanding of ML algorithms such as regression, classification, boosting, and decision trees.

• Familiarity with notebook-based interfaces like Jupyter and orchestration tools like Airflow.

• Knowledge of big data technologies and building reusable ML frameworks.

• Experience with project management platforms such as JIRA, Rally, and Confluence.

• Strong written and verbal communication skills with the ability to present ideas to technical and non-technical audiences.

• High levels of self-motivation and a strong sense of ownership.

Additional info:

• American Express offers a wide variety of benefits supporting employee well-being.

• These include comprehensive medical insurance, dental and vision benefits, and disability protection.

• Generous paid parental leave policies are available depending on regional policies.

• Employees can access free global on-site wellness centers equipped with nurses and doctors.

• The company provides free counseling via the Healthy Minds program.

• Flexible working arrangements are offered depending on the role and business needs.

• Employees are encouraged to pursue continuous learning through internal and external development programs.

• The organization maintains a strong stance against discrimination and upholds equal opportunity practices.

• All employment is subject to background verification as per legal and regulatory requirements.

• American Express supports candidates requiring reasonable accommodations during the recruitment process.

Please click here to apply.