Senior Data Scientist (m/f/d)

About the Company

Experian is an international data and technology business that uses analytics, software, and data capabilities to help people and organizations make better decisions. In the DACH market, the company is recognized for its work in risk, fraud, and identity management.

The organization helps individuals access financial products and services such as loans, insurance, mobile contracts, and online purchases, while supporting businesses across industries in making more informed lending and fraud-prevention decisions. Experian operates in 32 countries, employs 25,100 people, and is listed on the London Stock Exchange as part of the FTSE 100. Its global headquarters are in Dublin, Ireland.

Role Overview

The Senior Data Scientist will take a central role in building and applying advanced analytics and machine learning solutions that support the development, monitoring, and upkeep of data products such as Scores, Attributes, and other Data Services. The position works closely with Data Engineering, Product, and Technology teams to enable data-led decisions and continuous improvement.

The core focus is on product-oriented work rather than client projects. Key responsibilities include developing, deploying, and maintaining analytical models, overseeing the Bureau Data Asset, and helping improve the Bureau Data Ingestion Pipeline.

What You Will Do

• Create and deploy machine learning models and advanced analytics solutions.
• Track the quality and performance of models and data products over time.
• Carry out ad hoc analysis to inform product development and decision-making.
• Work with Data Engineering, Product, and Tech teams to clarify needs, implement analytical solutions, launch new features, and improve processes.
• Validate models thoroughly to protect accuracy and data integrity.
• Write clear documentation for methods, workflows, and findings to support transparency and reproducibility.
• Pull, transform, and analyze information from the data lake for product development and monitoring use cases.
• Assist Legal and Compliance teams with consumer complaints, score-related questions, and changes in regulations or internal policy.
• Keep current with evolving trends and new developments in machine learning and data science.
• Deliver high-quality models and analyses within expected timelines.
• Help improve model performance and product accuracy.
• Contribute to the design of new product features and enhancements.
• Support Product Management with analysis that enables data-driven choices.
• Turn analytical findings into practical recommendations for strategic decisions.

Required Qualifications

• A bachelor’s or master’s degree in Data Science, Statistics, Computer Science, or a closely related discipline.
• Strong analytical thinking, problem-solving ability, and attention to detail.
• Solid understanding of statistical techniques and machine learning methods, particularly logistic regression and boosted trees.
• Programming experience in Python or Scala.
• Hands-on exposure to machine learning tools such as XGBoost, PyTorch, or scikit-learn.
• Experience extracting and working with data from data lakes or large-scale storage systems using SQL and Spark.
• Proven skill in analyzing complex business and risk workflows and converting them into usable data models.
• Ability to interpret models in a business setting rather than only from a theoretical perspective.
• Experience in credit bureau or financial services environments is beneficial but not required.
• Strong communication skills for presenting technical results to non-technical audiences.
• Good collaboration skills and the ability to work independently while handling multiple priorities.

Benefits

• High autonomy within a dynamic, internationally focused organization.
• A collaborative team culture that encourages innovation.
• Competitive compensation and appealing employee benefits.
• Flexible working hours and options to work remotely.

Equal Opportunity

Experian is committed to equal opportunity and affirmative action. The company values a diverse workforce and aims to provide an inclusive environment where people of all genders, ethnicities, religions, skin colours, sexual orientations, physical abilities, and ages can thrive. Candidates who need workplace accommodations due to a disability or special need are encouraged to raise this early.