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 invest in our talented people and new, advanced technologies to harness the power of data and drive innovation. 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 ensuring 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 continues improvement of our Bureau Data Ingestion Pipeline.
Main focus of this role are 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 to
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
Ensure timely delivery of high-quality machine learning models and analyses
Maintain and improve the accuracy and performance of our models and data products
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
Deep knowledge of statistical methods and machine learning algorithms, especially logistic regression and boosted trees and its 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, translating them into actionable data models
Excellent German language skills, both written and spoken, as well as fluent English language skills
Ideally, you have demonstrated how to analyze business processes and translate them into data models to enable data-driven decision-making.
Great compensation package and attractive employee benefits
Flexible working hours and remote work options