science + computing AG
Senior Data Scientist(m/w/x)
Full-timeWith HomeofficeSenior
Düsseldorf, Fürth, Essen, Tübingen, Frankfurt am Main, Ingolstadt, Hamburg, Stuttgart, Berlin, München
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EXExperian
Senior Data Scientist(m/w/x)
Frankfurt am Main
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Developing and maintaining ML models for risk, fraud, and identity management solutions at a global data tech firm. Deep knowledge of statistical methods, ML algorithms (e.g., boosted trees), and Python/Scala proficiency required. Flexible working hours, remote work options.
Requirements
- Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or related field
- Strong analytical and problem-solving skills with keen attention to detail
- Deep knowledge of statistical methods and machine learning algorithms (logistic regression, boosted trees)
- Proficiency in Python or Scala
- Experience with machine learning frameworks (XGBoost, PyTorch, scikit-learn)
- Experience with data manipulation and extraction using SQL and Spark
- Proven ability to analyze business and risk processes, translate into data models
- Ability to interpret and apply analytical models in business context
- Ideally, demonstrated analysis of business processes and translation into data models
- Experience in credit bureau or financial services environment (plus, not mandatory)
- Strong ability to communicate complex analytical results and provide actionable insights
- Excellent communication and collaboration skills
- Ability to work independently and manage multiple tasks simultaneously
Tasks
- Develop and implement machine learning models.
- Develop and implement advanced analytical solutions.
- Maintain machine learning models and analytical solutions.
- Monitor the performance and quality of models.
- Monitor the performance and quality of data products.
- Perform ad hoc analyses for product development.
- Perform ad hoc analyses for decision-making.
- Collaborate with Data Engineering, Product, and Tech teams.
- Understand functional requirements for solutions and features.
- Ensure proper implementation of analytical solutions.
- Ensure proper implementation of new product features.
- Improve team processes.
- Ensure model accuracy through rigorous testing.
- Ensure model integrity through validation processes.
- Document methodologies, processes, and findings.
- Extract, manipulate, and analyze data from the data lake.
- Support product development and monitoring activities.
- Support Legal and Compliance Teams on consumer complaints.
- Support Legal and Compliance Teams on Score questions.
- Support Legal and Compliance Teams on regulatory changes.
- Support Legal and Compliance Teams on policy changes.
- Stay updated on industry trends in machine learning.
- Stay updated on new developments in data science.
- Ensure timely delivery of high-quality ML models.
- Ensure timely delivery of high-quality analyses.
- Maintain and improve model accuracy and performance.
- Maintain and improve data product accuracy and performance.
- Contribute to developing new product features.
- Contribute to enhancing existing products.
- Support data-driven decision-making in Product Management.
- Provide insights from data analysis.
- Provide recommendations for strategic decision-making.
- Monitor the Bureau Data Asset.
- Continuously improve the Bureau Data Ingestion Pipeline.
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Scala
- XGBoost
- PyTorch
- scikit-learn
- SQL
- Spark
Benefits
Purpose-Driven Work
- Autonomy
Flexible Working
- Flexible working hours
- Remote work options
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Experian and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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EXExperian
Senior Data Scientist(m/w/x)
Frankfurt am Main
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Developing and maintaining ML models for risk, fraud, and identity management solutions at a global data tech firm. Deep knowledge of statistical methods, ML algorithms (e.g., boosted trees), and Python/Scala proficiency required. Flexible working hours, remote work options.
Requirements
- Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or related field
- Strong analytical and problem-solving skills with keen attention to detail
- Deep knowledge of statistical methods and machine learning algorithms (logistic regression, boosted trees)
- Proficiency in Python or Scala
- Experience with machine learning frameworks (XGBoost, PyTorch, scikit-learn)
- Experience with data manipulation and extraction using SQL and Spark
- Proven ability to analyze business and risk processes, translate into data models
- Ability to interpret and apply analytical models in business context
- Ideally, demonstrated analysis of business processes and translation into data models
- Experience in credit bureau or financial services environment (plus, not mandatory)
- Strong ability to communicate complex analytical results and provide actionable insights
- Excellent communication and collaboration skills
- Ability to work independently and manage multiple tasks simultaneously
Tasks
- Develop and implement machine learning models.
- Develop and implement advanced analytical solutions.
- Maintain machine learning models and analytical solutions.
- Monitor the performance and quality of models.
- Monitor the performance and quality of data products.
- Perform ad hoc analyses for product development.
- Perform ad hoc analyses for decision-making.
- Collaborate with Data Engineering, Product, and Tech teams.
- Understand functional requirements for solutions and features.
- Ensure proper implementation of analytical solutions.
- Ensure proper implementation of new product features.
- Improve team processes.
- Ensure model accuracy through rigorous testing.
- Ensure model integrity through validation processes.
- Document methodologies, processes, and findings.
- Extract, manipulate, and analyze data from the data lake.
- Support product development and monitoring activities.
- Support Legal and Compliance Teams on consumer complaints.
- Support Legal and Compliance Teams on Score questions.
- Support Legal and Compliance Teams on regulatory changes.
- Support Legal and Compliance Teams on policy changes.
- Stay updated on industry trends in machine learning.
- Stay updated on new developments in data science.
- Ensure timely delivery of high-quality ML models.
- Ensure timely delivery of high-quality analyses.
- Maintain and improve model accuracy and performance.
- Maintain and improve data product accuracy and performance.
- Contribute to developing new product features.
- Contribute to enhancing existing products.
- Support data-driven decision-making in Product Management.
- Provide insights from data analysis.
- Provide recommendations for strategic decision-making.
- Monitor the Bureau Data Asset.
- Continuously improve the Bureau Data Ingestion Pipeline.
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Scala
- XGBoost
- PyTorch
- scikit-learn
- SQL
- Spark
Benefits
Purpose-Driven Work
- Autonomy
Flexible Working
- Flexible working hours
- Remote work options
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Experian and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Experian
Industry
FinancialServices
Description
The company is a global data and technology provider specializing in risk, fraud, and identity management.
Not a perfect match?
- science + computing AG
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Senior Data Analyst Insurance(m/w/x)
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