Senior AI​/ML Scientist - Remote

Overview

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

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

Job Description

Experian is looking for a Senior 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.

Responsibilities

• Architect and implement a closed-loop learning system integrating synthetic data generation, automated pattern discovery, and scenario-based stress testing
• Develop GenAI-powered data mining algorithms to identify latent structures, cross-domain patterns, and evolving risk signals across credit, transactional, and fraud datasets
• Lead bias diagnosis and counterfactual testing to ensure fairness and regulatory compliance under stress scenarios
• Collaborate with risk, compliance, and fraud teams to align AI-driven insights with business objectives and regulatory standards
• Create dynamic segmentation models that evolve with customer states and macroeconomic conditions
• Stay current with advancements in AI/ML and proactively integrate emerging technologies into Experian's solutions

Qualifications

• 7+ years of experience in AI/ML, with hands-on expertise in building, deploying and monitoring models at scale
• Strong knowledge of modern language models (Transformers, GPT APIs, SLMs, RLHF), and agent-based architectures
• Proficiency in Python, Tensor Flow, PyTorch, and cloud-based ML platform
• Advanced degree (MS or PhD) in computer science, AI/ML or related field
• Experience with machine learning algorithms and processes (such as xgboost, GANs, Clustering, Graph Algorithms, Reinforcement Learning)

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:

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,…