Senior Data Scientist; m​/f​/d

Company Description

Experian is a global data and technology company that empowers people and businesses around the world. With our unique combination of data, analytics and software, we have established ourselves as one of the leading service providers for risk, fraud and identity management in the DACH region. Experian gives individuals better access to financial services such as loans, insurance, mobile phone contracts and online shopping.

We help companies of all sizes and industries make smarter decisions, lend more responsibly and protect themselves and their customers from identity fraud and crime. We invest in our talented people and new, advanced technologies to harness the power of data and drive innovation. We employ 22,500 people in 32 countries and are a FTSE 100 company listed on the London Stock Exchange (EXPN).

Our headquarters are in Dublin, Ireland.

The Data Scientist plays a pivotal role in the development and application of advanced analytics and machine learning models to support the development, monitoring, and maintenance of our data products, including Scores, Attributes, and other Data Services. This role is integral to driving innovation and improving the performance of our products, working closely with our Data Engineering, Product & Tech teams to ensure data‑driven decision‑making.

The primary purpose of this role is to develop, implement, and maintain machine learning models and analytical solutions that enhance our data products. It also includes the monitoring of our Bureau Data Asset and the continuous improvement of our Bureau Data Ingestion Pipeline. The main focus of this role is product‑related tasks with only limited or no involvement in client projects.

• Develop and implement machine learning models and advanced analytics solutions
• Monitor the performance and quality of our models and data products
• Perform ad hoc analyses to support product development and decision‑making
• Collaborate closely with Data Engineering, Product & Tech teams to understand functional requirements and ensure proper implementation of analytical solutions and new product features
• Ensure model accuracy and integrity through rigorous testing and validation processes
• Document methodologies, processes, and findings to maintain transparency and reproducibility
• Extract, manipulate, and analyze data from data lake to support various product development and monitoring activities
• Support our Legal and Compliance Teams in cases of consumer complaints, questions regarding our Scores and regulatory or policy changes
• Stay up to date on industry trends and new developments in machine learning and data science

• Timely delivery of high‑quality machine learning models and analyses
• Continuous improvement of the accuracy and performance of our models and data products
• Contribution to the development of new product features and enhancements
• Support data‑driven decision making within Product Management
• Provide insights and recommendations based on data analysis to support strategic decision‑making

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field
• Strong analytical and problem‑solving skills with keen attention to detail
• Deep knowledge of statistical methods and machine learning algorithms, especially logistic regression and boosted trees, and their application
• Proficiency in programming languages such as Python or Scala
• Experience with machine learning frameworks such as XGBoost, PyTorch, or scikit‑learn
• Experience with data manipulation and extraction from data lakes or large data storages using SQL and Spark
• Proven ability to analyze complex business and risk processes and translate them into actionable data models
• Excellent German language skills, both written and spoken, and fluent English language skills

• Ability to interpret and apply analytical models within a business context, demonstrating how to analyze business processes and translate them into data models to enable data‑driven decision‑making
• Experience in the credit bureau or financial services environment (a plus)
• S…