Job Description

Employment Type: Full-time Location Type: Remote (US) Salary: Not specified

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 digital 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 realise their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland.

Learn more at experianplc.com.

Position Overview

You will have a unique blend of technical expertise and marketing knowledge, guiding data-informed strategies through advanced analytics, machine learning, and model deployment. You will report to the Vice President of Analytics Consulting.

Main Responsibilities

• Deploy AI/ML models to support marketing programs and customer insights.
• Collaborate with clients and internal partners to translate our goals into data-driven solutions.
• Develop scalable analytics pipelines using cloud-based platforms.
• Communicate complex technical findings to non-technical partners.

Qualifications

• 5+ years of industry experience.
• Previous experience with AI/ML model development and deployment.
• Background in marketing or banking analytics and campaign performance measurement.
• Hands-on experience with cloud computing platforms (AWS, Azure, GCP).
• Proficient in data engineering and analytics tools (Python, PySpark, Spark).
• LLM and Agentic AI build experience (Langchain, Pydantic, etc.).
• Experience bridging the gap between technical teams and marketing partners.
• Experience with customer segmentation, personalization, and attribution modeling.
• Familiarity with AI-driven tools and platforms.
• Bachelor's degree in Computer Science, Data Science, or a related field.

Additional Information

Benefits/Perks

• Great 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

Company Culture & Recognition

Experian's culture and people are important differentiators. We celebrate your uniqueness and take our people agenda very seriously, focusing on what matters: DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering, and more. Experian's people-first approach is award-winning, including:

• World's Best Workplaces™ 2024 (Fortune Top 25)
• Great Place To Work™ in 24 countries
• Glassdoor Best Places to Work 2024

Learn more about Experian Life on social media or our Careers Site.

Compensation Philosophy

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. You will also be eligible for a variable pay opportunity.

Equal Opportunity Employer

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. Innovation is an important part of Experian's DNA and practices, and our inclusive workforce allows everyone to succeed and bring their whole self to work.

If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.