Data 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 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 accomplish 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.

In Short

• Build scalable data ecosystems to power advanced analytics, predictive modeling, and thoughtful decision-making.
• Lead forecasting and scenario modeling by integrating dynamic inputs, validating assumptions, and delivering forward-looking insights that anticipate risks and opportunities.
• Automate analytical workflows to accelerate speed-to-insight and reduce manual intervention.
• Use large-scale structured and unstructured data to uncover patterns, create relevant insights, and develop predictive and prescriptive models.
• Design, deploy, and operationalize advanced machine learning solutions to solve complex business challenges.
• Maintain model development pipelines while driving proof-of-concept programs and rapid experimentation.
• Partner with teams to define high-impact use cases and embed data science solutions into strategic decision-making.
• Establish scalable data and model governance practices to ensure reliability, transparency, and continuous improvement.
• Use modern analytics and cloud platforms (e.g., Python, AWS, Databricks) to find the latest solutions.
• Develop intuitive data visualizations and interactive tools to communicate complex insights.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Proficiency in Python and experience with machine learning frameworks such as scikit-learn, XGBoost, or PyTorch.
• Hands-on experience with generative AI tools and advanced machine learning techniques.
• Ability to deploy and scale models in production using cloud platforms (AWS, GCP, Azure).
• Experienced in analyzing complex datasets and developing predictive models.
• Understanding of statistical modeling and performance optimization for machine learning algorithms.
• Ability to translate complex technical concepts into clear insights for diverse team members.
• Experience managing projects end-to-end, delivering impactful solutions.

Benefits

• Great compensation package and bonus plan.
• Core benefits including full medical, dental, vision, and matching 401K.
• Fully remote environment.
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.