Principal Data Scientist

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 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 Principal Data Scientist to join our Analytics Innovation group. This individual contributor role will focus on developing agentic AI solutions and advanced marketing analytics models that drive strategic decision-making across the consumer credit lifecycle. The ideal candidate will have deep technical expertise in coding intelligent agents, strong analytical acumen and a passion for applying AI to real-world marketing 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 iterate 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 internal stakeholders to translate business requirements into scalable AI solutions.
• Contribute to the development of new analytical products and services that enhance marketing effectiveness and customer engagement.

Qualifications

• Proven expertise in advanced Python programming, including experience with data manipulation, modeling and deployment in cloud environments.
• Proficient in leveraging big data platforms for scalable analytics and deployment
• Hands-on experience building agentic AI frameworks or tools, including autonomous agents
• Ability to manage multiple projects and deliver high-impact results.
• Experience with cloud-based data platforms and production-grade ML deployment.
• 7+ years of experience in consumer lending and/or marketing analytics; a strong understanding of consumer credit data and marketing analytics methodologies.

Additional Information

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.