Senior Data Scientist (Remote) – Marketing Modeling & Agentic AI - Consumer Lending
About The Position
Experian is looking for an experienced Senior AI Data Scientist to join our Analytic Innovations group. This individual contributor role will focus on developing agentic AI solutions and advanced marketing analytics models that move strategic decision-making across the consumer credit lifecycle. You will have deep technical expertise in coding intelligent agents, experience in marketing analytics for consumer lending products, with modeling knowledge, plus experience applying AI to real-world challenges in financial services. This is a fully remote position and you will be reporting to the VP, Analytics Consulting You'll have the opportunity to: Design, code, and test AI agents that support autonomous decision-making in marketing campaigns, customer acquisition, and portfolio optimization. Apply hands-on coding knowledge to create agentic AI techniques to solve complex business problems in consumer lending. Conduct exploratory data analysis and develop predictive models using credit bureau data and other consumer datasets. Prototype and improve on intelligent agent behaviors using Python, Spark and modern agentic frameworks. Support the deployment and monitoring of AI models in production environments, ensuring performance, reliability and compliance. Collaborate with company partners to translate our requirements into scalable AI solutions. Contribute to the development of new analytical products and services that enhance marketing effectiveness and customer engagement.
Requirements
- 3+ years building predictive models for marketing decisioning (propensity/response/uplift/NBA), ideally in consumer lending or credit card portfolios.
- Advanced Python proficiency (3+years) with production-quality coding practices
- Experience working with large-scale data using Spark (PySpark), SQL, and distributed compute to build features and train models.
- Demonstrated ability to build agentic prototypes quickly and iterate using modern frameworks (e.g., LangChain/LangGraph, Semantic Kernel, AutoGen, or similar)
- Bachelor’s degree in a quantitative or related field required; Master’s (or equivalent advanced experience) preferred
Nice To Haves
- Preferred hands-on experience designing and coding agentic AI systems (tool use/function calling, multi-step planning, orchestration) to automate analytics or decision workflows.
Responsibilities
- Design, code, and test AI agents that support autonomous decision-making in marketing campaigns, customer acquisition, and portfolio optimization.
- Apply hands-on coding knowledge to create agentic AI techniques to solve complex business problems in consumer lending.
- Conduct exploratory data analysis and develop predictive models using credit bureau data and other consumer datasets.
- Prototype and improve on intelligent agent behaviors using Python, Spark and modern agentic frameworks.
- Support the deployment and monitoring of AI models in production environments, ensuring performance, reliability and compliance.
- Collaborate with company partners to translate our requirements into scalable AI solutions.
- Contribute to the development of new analytical products and services that enhance marketing effectiveness and customer engagement.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
