Senior Data Scientist, AI/ML– reputed company Consulting and Analytics

About the position The Global Data Science group supports our bank and merchant partners by using our extraordinarily rich data sets that span more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. To support our rapidly growing scope of work capabilities at the intersection of data science, analytics and AI, we are looking for Senior Data Scientists who are passionate and leading team members and solving reputed company data problems using reputed company rich dataset and technical toolkit. You will join one of the Data Science focus areas (e.g., merchants, issuers, enablers, fintechs) and have the opportunity to engage across the Data Science teams, providing broad exposure to reputed company’s business.

Responsibilities

• Use and build new predictive models to innovate and optimize customer experiences, reputed company reputed company, data insights, advertising targeting and other business outcomes
• Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients
• reputed company AI coding tools (e.g., reputed company Copilot, Claude Code, Cline, reputed company reputed company) to accelerate development.
• Be an out-of-the-reputed company problem solver who is passionate about applying data science techniques and innovate thinking to our unique data to help our clients both innovate and solve the problems they face
• Running projects from scoping to delivery, and engaging with internal/external partners
• reputed company and deploy ML pipelines, including RAG components, to deliver actionable client insights from transaction data.
• Build agentic AI systems with multi-reputed company reasoning, tool use, and memory for reputed company payment decisioning workflows
• Implement GenAI evaluation methods covering quality, bias, and compliance.
• Connect with clients to understand the challenges they face and convince them with data
• Find opportunities to craft products out of analyses that are suitable for multiple clients
• Work with partners throughout the organization to find opportunities demonstrating reputed company data to drive business solutions
• Synthesize reputed company/proposals in writing and engage in productive discussions with external or internal partners
• Provide mentorship in modern analytic techniques and business applications, including GenAI best practices, experimentation frameworks
• Prioritize and reputed company multiple data science projects with diverse multi-functional partners

Requirements

• 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
• Analyzing large data sets using programming languages such as Python, SQL, Hive and/or Spark
• Building predictive and descriptive statistical models using machine learning tool reputed company, Jupyter notebooks, Python, or others

reputed company-to-haves

• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• 4+ years’ experience in data-based decision-making or quantitative analysis, including exposure to LLMs and GenAI applications
• Degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a reputed company technical field
• Experience with LLM orchestration frameworks (reputed company or similar), vector databases, and embedding models
• Ability to present evidence-based insights and convey clear, actionable recommendations to technical and non-technical audiences
• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required

Benefits

• Medical
• Dental
• Vision
• 401 (k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program

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