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 25,100 people in 32 countries and are a FTSE 100 company listed on the London Stock Exchange (EXPN). Our headquarters are in Dublin, Ireland.
Job Description
Introduction of role, purpose:
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.
Main responsibilities, tasks, duties:
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Develop and implement machine learning models and advanced analytics solutions
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Monitor the performance and quality of our models and data products
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Perform ad hoc analyses to support product development and decision-making
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Collaborate closely with Data Engineering, Product & Tech teams to understand functional requirements and to
ensure proper implementation of analytical solutions, new product features and improve processes -
Ensure model accuracy and integrity through rigorous testing and validation processes
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Document methodologies, processes, and findings to maintain transparency and reproducibility
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Extract, manipulate, and analyze data from data lake to support various product development and monitoring activities
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Support our Legal and Compliance Teams in cases of consumer complaints, questions regarding our Scores and regulatory or policy changes
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Stay up to date on industry trends and new developments in machine learning and data science
Responsibility, e.g. budget, key deliverables:
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Ensure timely delivery of high-quality machine learning models and analyses
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Maintain and improve the accuracy and performance of our models and data products
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Contribute to the development of new product features and enhancements
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Support data-driven decision making within Product Management
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Provide insights and recommendations based on data analysis to support strategic decision-making
Qualifications
Required qualification, expertise, skills:
- Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or a related field
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Strong analytical and problem-solving skills with keen attention to detail
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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
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Experience with machine learning frameworks such as XGBoost, PyTorch, or scikit-learn
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Experience with data manipulation and extraction from data lakes or large data storages using SQL and Spark
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Proven ability to analyze complex business and risk processes, translating them into actionable data models
Preferred further skills (not mandatory):
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We are not looking for a pure theorist: You should have the ability to interpret and apply analytical models within a business context. Ideally, you have demonstrated how to analyze business processes and translate them into data models to enable data-driven decision-making.
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Experience in the credit bureau or financial services environment is a plus, but not mandatory
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Strong ability to communicate complex analytical results clearly and provide actionable insights for non-technical stakeholders
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Excellent communication and collaboration skills
Ability to work independently and manage multiple tasks simultaneously
Additional Information
Benefits/Perks:
A high degree of autonomy in a dynamic, internationally oriented organization
A motivated team that values innovation and collaboration
Great compensation package and attractive employee benefits
Flexible working hours and remote work options
Experian is proud to be an equal opportunity and affirmative action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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