DKV Mobility
Data Scientist - AI Lab(m/w/x)
Full-time/Part-timeWith HomeofficeExperienced
Ratingen
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DKDKV Mobility
Senior Data Scientist(m/w/x)
Ratingen
Full-time, Part-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Developing ML/AI algorithms and regression models for B2B payment solutions. Several years of Data Science and ML experience required. Flexible working hours, eBike leasing support.
Requirements
- Several years of Data Science and Machine Learning experience
- Application of statistical methods
- Application of regression models
- Application of time series analyses
- Application of classical ML techniques
- Application of modern AI algorithms
- High proficiency in Python
- High proficiency in SQL
- Development of cloud-based solutions
- Development of Generative AI use cases
- Development of LLMs
- Development of RAG systems
- Development of 'talk-to-your-data' interfaces
- Solid experience building ML pipelines
- Establishment of MLOps standards
- Maintenance of MLOps standards
- Experience with CI/CD
- Experience with model registry
- Experience with monitoring
- Experience with quality checks
- Ownership of risk models
- Experience with SmartRisk Engine
- Application of explainability methods
- Experience with SHAP
- Experience with Reason Codes
- Domain knowledge in credit risk
- Knowledge of PD, EAD, LGD
- Knowledge of rating processes
- Knowledge of IFRS 9
- Experience with SAP
- Experience with Power BI
- Strong communication skills
- Strong leadership skills
- Collaboration with business units
- Collaboration with IT
- Collaboration with management
- Clear presentation of analytical results
- Mentoring other Data Scientists
- Fostering team growth
- Keeping team aligned with new trends
Tasks
- Conduct data-driven analyses
- Derive actionable recommendations
- Develop advanced statistical methods
- Apply regression models, time series analyses, ML/AI algorithms
- Translate analytical results into business insights
- Design robust end-to-end ML pipelines
- Maintain data, features, models, scoring
- Implement testing, versioning, documentation
- Establish MLOps standards
- Manage CI/CD, model registry, monitoring, data-quality checks, incident handling
- Own the SmartRisk Engine
- Develop feature strategy
- Train and retrain models
- Calibrate and backtest models
- Monitor model drift
- Ensure model explainability via SHAP/Reason Codes
- Implement data-driven use cases
- Create loss databases
- Develop early-warning systems
- Manage limit/exposure steering
- Perform clustering and portfolio insights
- Develop cloud-based Data Science solutions
- Use Python and SQL
- Leverage credit risk knowledge (PD, EAD, LGD, rating, IFRS 9/ECL)
- Work with SAP and Power BI
- Mentor and guide Data Scientists
- Encourage innovative thinking
- Share updates on data and ML advancements
- Support team professional growth
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- Generative AI
- LLMs
- RAG systems
- AI agents
- chat interfaces
- MLOps
- CI/CD
- model registry
- monitoring
- quality checks
- SmartRisk Engine
- SHAP
- Reason Codes
- SAP
- Power BI
Benefits
Healthcare & Fitness
- Comprehensive company health management
Family Support
- Parent-child offices
- Family-friendly working time models
Company Bike
- eBike leasing support
Flexible Working
- Flexible working hours
- Balanced mix of on-site meetings and home office
Learning & Development
- Access to modern learning environment
Other Benefits
- Top Employer Germany award
Informal Culture
- Great Place to Work award
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DKV Mobility 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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DKDKV Mobility
Senior Data Scientist(m/w/x)
Ratingen
Full-time, Part-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Developing ML/AI algorithms and regression models for B2B payment solutions. Several years of Data Science and ML experience required. Flexible working hours, eBike leasing support.
Requirements
- Several years of Data Science and Machine Learning experience
- Application of statistical methods
- Application of regression models
- Application of time series analyses
- Application of classical ML techniques
- Application of modern AI algorithms
- High proficiency in Python
- High proficiency in SQL
- Development of cloud-based solutions
- Development of Generative AI use cases
- Development of LLMs
- Development of RAG systems
- Development of 'talk-to-your-data' interfaces
- Solid experience building ML pipelines
- Establishment of MLOps standards
- Maintenance of MLOps standards
- Experience with CI/CD
- Experience with model registry
- Experience with monitoring
- Experience with quality checks
- Ownership of risk models
- Experience with SmartRisk Engine
- Application of explainability methods
- Experience with SHAP
- Experience with Reason Codes
- Domain knowledge in credit risk
- Knowledge of PD, EAD, LGD
- Knowledge of rating processes
- Knowledge of IFRS 9
- Experience with SAP
- Experience with Power BI
- Strong communication skills
- Strong leadership skills
- Collaboration with business units
- Collaboration with IT
- Collaboration with management
- Clear presentation of analytical results
- Mentoring other Data Scientists
- Fostering team growth
- Keeping team aligned with new trends
Tasks
- Conduct data-driven analyses
- Derive actionable recommendations
- Develop advanced statistical methods
- Apply regression models, time series analyses, ML/AI algorithms
- Translate analytical results into business insights
- Design robust end-to-end ML pipelines
- Maintain data, features, models, scoring
- Implement testing, versioning, documentation
- Establish MLOps standards
- Manage CI/CD, model registry, monitoring, data-quality checks, incident handling
- Own the SmartRisk Engine
- Develop feature strategy
- Train and retrain models
- Calibrate and backtest models
- Monitor model drift
- Ensure model explainability via SHAP/Reason Codes
- Implement data-driven use cases
- Create loss databases
- Develop early-warning systems
- Manage limit/exposure steering
- Perform clustering and portfolio insights
- Develop cloud-based Data Science solutions
- Use Python and SQL
- Leverage credit risk knowledge (PD, EAD, LGD, rating, IFRS 9/ECL)
- Work with SAP and Power BI
- Mentor and guide Data Scientists
- Encourage innovative thinking
- Share updates on data and ML advancements
- Support team professional growth
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- Generative AI
- LLMs
- RAG systems
- AI agents
- chat interfaces
- MLOps
- CI/CD
- model registry
- monitoring
- quality checks
- SmartRisk Engine
- SHAP
- Reason Codes
- SAP
- Power BI
Benefits
Healthcare & Fitness
- Comprehensive company health management
Family Support
- Parent-child offices
- Family-friendly working time models
Company Bike
- eBike leasing support
Flexible Working
- Flexible working hours
- Balanced mix of on-site meetings and home office
Learning & Development
- Access to modern learning environment
Other Benefits
- Top Employer Germany award
Informal Culture
- Great Place to Work award
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DKV Mobility 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
DKV Mobility
Industry
Transportation
Description
The company is part of a leading European B2B platform for on-the-road payment solutions, committed to a sustainable future of mobility.
Not a perfect match?
- DKV Mobility
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