Lead Data Scientist - Remote

Location: California, CA, us, Remote

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.

Job Description

Job description

Experian is looking for a Lead Data Scientist to join our Global Analytics team within Experian Software Solutions. This is an exciting opportunity for someone to work on impactful AI and machine learning projects, contribute to solutions, and grow alongside experienced scientists and engineers. You will help build and support machine learning models and AI systems that power Experian's products and services. You will work remotely and report to the Senior Director of Analytics and AI.

• Perform comprehensive evaluations of data assets across the full credit and fraud lifecycle, ensuring strong regulatory compliance and risk governance.
• Conduct rigorous benchmarking and champion/challenger analyses to compare external data assets against internal attributes, scores, and predictive models, ensuring measurable lift, ROI and benefits.
• Develop advanced machine learning solutions and algorithms to solve complex analytical challenges.
• Lead the design, development, and deployment of advanced AI/ML systems with a focus on multi-agent and intelligent systems.
• Collaborate cross-functionally with engineering, product, and analytics teams to translate cutting-edge research into impactful solutions.
• Stay current with advancements in AI/ML and proactively integrate emerging technologies into Experian's solutions

Qualifications

Qualifications

• 10+ years of experience driving data science, credit risk and advanced analytics initiatives at scale within financial services industry
• Advanced degree in statistics, data science, AI/ML or related field
• Expertise with machine learning algorithms and processes (such as xgboost, GANs, hyperparameter tuning, clustering, graph algorithms)
• Expertise in knowledge of modern language models (Transformers, GPT APIs, SLMs, RLHF), and agent-based architectures
• Proficiency in Python, PyTorch, and distributed computing frameworks (e.g., Spark, AWS)

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
• #LI-Remote

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

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.