Job
In this role, you will develop the SmartRisk Engine, manage machine learning models, optimize ML pipelines, and establish MLOps standards to support decision-making processes in credit management.
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Job technologies
Your role in the team
- You assume end-to-end responsibility for the SmartRisk Engine, the central group-wide rating and PD model for onboarding and offboarding decisions in credit management.
- You develop, train, calibrate, validate, and optimize machine learning models and ensure their sustainable performance.
- You analyze model drift across different markets and customer segments and derive adjustments for models and risk strategies from it.
- You develop robust, scalable ML pipelines and are responsible for their deployment, versioning, testing, and documentation.
- You establish modern MLOps standards such as CI/CD, monitoring, alerting, model registry, data quality checks, and incident handling.
- You advise management and specialist departments, translate business requirements into data-driven solutions, and take on technical leadership as well as mentoring of Data Scientists.
Our expectations of you
Qualifications
- You possess very good knowledge of Python, SQL, as well as cloud data platforms such as Azure, Databricks, or Snowflake.
- You have extensive expertise in Machine Learning, model calibration, explainability, monitoring, and model governance.
- You have already independently managed, validated, and further developed mission-critical models throughout their entire lifecycle.
- You excel through strong communication and stakeholder management skills, as well as your ability to successfully bring together departments, IT, and management.
Experience
- You have several years of experience (ideally 7+ years) in Data Science and Machine Learning with models in production.
- You have practical experience with LLMs and generative AI solutions such as Custom GPTs.
What we offer
- This position can be filled on a full-time basis or in near-full-time part-time (at least 30 hours/week; excluding working students and explicitly advertised part-time positions).
- DKV Mobility is looking for the best talents and knows that they are not always available on a full-time basis.
- Many of our employees work part-time or in flexible working models.
- Please discuss with us during the application process the flexibility you require.
Benefits
Health, fitness & fun
Work-Life-Integration
Higher take-home pay
Food & drink
Topics you will work on
Job locations
About your employer
As a leading European mobility service provider, we devote ourselves to efficient mobility solutions for controlling commercial fleets. Our portfolio includes smart products and services around refueling, alternative propulsion options, toll handling, liquidity benefits and innovative connected services.
- 1934
- Established Company
- Onsite, Hybrid
- Logistics, Transportation
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