Data Scientist Associate - AI/ML, Python
Data Scientist Associate - AI/ML, Python
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Job Description
We have an exciting opportunity for you to leverage data science methods to deliver actionable insights across the Card business.
As a Data Science Associate within the Card Data and Analytics team you will leverage skills in building insights from advanced analytics Gen AI / LLM tools analysis data querying and extracting insights from big data to support our Credit Card business. This role is a hands-on mix of consulting know-how analytical proficiency in statistics data science and machine learning/AI proficiency in SQL/Python programming visualization methods and technologies.
Job Responsibilities:
- Leverage your knowledge and analytical skills to uncover novel use cases of Big Data analytics for the Credit Card business.
- Support development of data science / AIML use cases for the Card business.
- Help partners in the Card business define their business problems and scope analytical solutions.
- Build an in-depth understanding of the Card domain and available data assets.
- Research design implement and evaluate analytical approaches and models.
- Perform ad-hoc exploratory analyses and data mining tasks on diverse datasets.
- Communicate findings and obstacles to stakeholders to drive delivery to market.
Required Qualifications Capabilities and Skills:
- Bachelors degree in a relevant quantitative field required in an analytical field (e.g. Statistics Economics Applied Math Operations Research other Data Science fields).
- 4 years of hands-on experience with data analytics; experience evaluating complex business problems and devising recommendations.
- Exceptional analytical quantitative problem-solving and communication skills.
- Excellent leadership consultative partnering and collaboration across teams.
- Knowledge of statistical software packages (e.g. Python) and data querying languages (e.g. SQL).
- Experience across a broad range of modern analytics tools (e.g. Snowflake Databricks SQL Spark Python).
Preferred Qualifications Capabilities and Skills:
- Understanding of the key drivers within the credit card P&L is preferred.
- Financial services background preferred but not required.
- Masters degree or equivalent in an analytical field.
Required Experience:
IC
Employment Type
Full-Time
