Senior Data Scientist (Remote) – Marketing Modeling & Agentic AI - Consumer Lending

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job description

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.

You'll have 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.

Qualifications

• 3+ years building predictive models for marketing decisioning (propensity/response/uplift/NBA), ideally in consumer lending or credit card portfolios.
• Preferred hands-on experience designing and coding agentic AI systems (tool use/function calling, multi-step planning, orchestration) to automate analytics or decision workflows.
• 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

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.