Data Scientist I - Full Stack Management Trainee

At Mulligan, we are transforming small business lending by replacing legacy processes with fast, intelligent, AI-driven decisioning.

Backed by 18 years of proprietary credit data and deep risk expertise, our production-grade AI agents are already running in active credit and underwriting workflows.

As we expand this AI-first approach across Sales, Customer Lifecycle, Finance, and Capital Markets, we offer an uncommonly rich environment for emerging data scientists.

By stepping directly into the center of these efforts, you won't just observe modern machine learning—you will gain hands-on experience with advanced, industry-leading tools and complex technical architectures while contributing directly to our mission of scaling AI across the organization.

The Data Scientist I - Full Stack Management Trainee role focuses on machine learning development, model deployment, and MLOps.

Working alongside senior engineering and data science leads, you will take ownership of model construction, experimental design, pipeline development, and code productionalization on cloud infrastructure, making an immediate impact on our production systems.

At Mulligan, we are transforming small business lending by replacing legacy processes with fast, intelligent, AI-driven decisioning.

Backed by 18 years of proprietary credit data and deep risk expertise, our production-grade AI agents are already running in active credit and underwriting workflows.

As we expand this AI-first approach across Sales, Customer Lifecycle, Finance, and Capital Markets, we offer an uncommonly rich environment for emerging data scientists.

By stepping directly into the center of these efforts, you won't just observe modern machine learning—you will gain hands-on experience with advanced, industry-leading tools and complex technical architectures while contributing directly to our mission of scaling AI across the organization.

The Data Scientist I - Full Stack Management Trainee role focuses on machine learning development, model deployment, and MLOps.

Working alongside senior engineering and data science leads, you will take ownership of model construction, experimental design, pipeline development, and code productionalization on cloud infrastructure, making an immediate impact on our production systems.

• Assist in constructing, testing, and deploying machine learning models.
• Design and evaluate experimental designs and A/B testing methodologies.
• Productionalize data science code utilizing GitHub, version control, and modern MLOps pipelines.