Senior AI Data Scientist, Consumer Lending - Remote
Gabi
Company Description
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 work towards 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 will report to the VP of Analytics Consulting.
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
- Expertise in advanced Python programming, including experience with data manipulation, modeling and deployment in cloud environments.
- Proficient in using big data platforms for scalable analytics and deployment
- Hands-on experience building agentic AI frameworks or tools, including autonomous agents
- Experience with cloud-based data platforms and production-grade ML deployment.
- 5+ years of experience in consumer lending marketing analytics; including an understanding of consumer credit data and marketing analytics methodologies
Additional Information
Benefits/Perks:
- Competitive compensation package and bonus plan
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remote, hybrid or in-office
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
- Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.
Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Remote