Senior Data Scientist (gn) fulltime/parttime (hybrid)

What you can expect

Do you want to play an active role in driving a company’s growth and turning big plans into reality? Then join our team! You can look forward to exciting challenges, an inspiring environment, and a work culture that combines flexibility and collaboration – with our 60/40 hybrid model and modern offices in Ratingen as a hub for ideas. As part of our team, you will take on the following responsibilities:

• You take full responsibility for data-driven analyses and independently derive actionable recommendations to maximize business value.
• You develop and apply advanced statistical methods such as regression models, time series analyses, and ML/AI algorithms while closely collaborating with stakeholders and management; you translate analytical results into clear, compelling business insights.
• You design and maintain robust end-to-end ML pipelines (data, features, models, scoring), including testing, versioning, documentation, and establishing MLOps standards such as CI/CD, model registry, monitoring, data‑quality checks, and incident handling.
• With a focus on Credit & Risk Management, you own the SmartRisk Engine (feature strategy, training/retraining, calibration, backtesting, drift monitoring, and model explainability via SHAP/Reason Codes) and implement data-driven use cases such as loss databases, early‑warning systems, limit/exposure steering, clustering, and portfolio insights.
• You develop new cloud-based Data Science solutions—primarily in Python and SQL—to drive measurable business value; ideally, you bring knowledge in credit risk (e.g., PD, EAD, LGD, rating, IFRS 9/ECL) and experience with SAP and Power BI.
• You mentor and guide other Data Scientists, encourage innovative thinking, share updates on data & ML advancements, and actively support the professional growth of the team.

What makes you stand out

• You have several years of experience in Data Science and Machine Learning, confidently applying statistical methods, regression models, time series analyses, classical ML techniques, and modern AI algorithms.
• You are highly proficient in Python and SQL and independently develop value‑adding, cloud‑based solutions — including Generative AI use cases such as LLMs, RAG systems, and “talk‑to‑your‑data” interfaces (e.g., AI agents or chat interfaces).
• You bring solid experience in building robust end‑to‑end ML pipelines, establishing and maintaining MLOps standards such as CI/CD, model registry, monitoring, and quality checks.
• In the area of Credit & Risk Management, you take ownership of risk models such as the SmartRisk Engine (feature strategy, training, calibration, backtesting) and apply explainability methods like SHAP or Reason Codes.
• Ideally, you have domain knowledge in credit risk, including PD, EAD, LGD, rating processes, and IFRS 9, as well as experience with SAP and Power BI.
• You demonstrate strong communication and leadership skills, collaborating closely with business units, IT, and management, presenting complex analytical results clearly, and mentoring other Data Scientists to foster their growth and keep the team aligned with new trends.

We are looking forward to your application and to applicants who enrich our diverse culture! Regardless of age, gender, origin and sexual identity and orientation. Severely disabled applicants will be given preference if equally qualified. This position can be full-time or part-time (min. 30h/week). DKV Mobility is looking for the best talents and knows that these are not always available on a full-time basis. Many of our employees work part-time or in flexible working models. Please talk to us about the flexibility you need during the application process.

Why DKV Mobility? Here are five good reasons...

At DKV Mobility, we are team players - because we are only successful together! #teamofteams
You should feel welcome with us from the very beginning!

We've been growing for about 90 years

How we do it? We keep adapting our products and business model to meet changing customer needs. That's how we stay mobile and master every challenge the future holds.

There are also many other good reasons to work at DKV Mobility. For example, we offer you comprehensive company health management, parent-child offices (from 2023) and support you in leasing your eBike through our partner Jobrad!

We attach great importance to work-life balance.

We stand for the compatibility of family and career! That's why we offer flexible working hours and family-friendly working time models. In addition, we rely on a balanced mix of on-site meetings and home office.

We support you in your development

We offer you optimal conditions to familiarize yourself so that you can quickly find your way around and become a part of the team! To further your personal development, we offer you access to a modern learning environment - independent of time and location. This way you can also face the challenges of tomorrow!

We are committed to a net-zero future

After reaching our Green Pledge climate target in 2023 by reducing carbon emissions in our own business operations by 50.4% compared to the base year 2019, we set ourselves ambitious net-zero climate targets. The targets have been validated by the Science Based Targets initiative. By 2050, DKV Mobility commits to reach net-zero greenhouse gas emissions across the value chain from a 2022 base year. You want to take climate action? Follow us on our road to net-zero.

We are a certified employer

Our employees trust us. As an employer, we regularly receive awards from independent institutes, e.g. as Top Employer Germany and as Great Place to Work!