Ai-Jobs in Deutschland

YOUR ROLE:

As a Data Scientist – AI/ML Development (Entry to Mid-Level), you will drive the use of machine learning to unlock business insights. Collaborating with cross-functional stakeholders, you will build and train AI models, interpret outcomes, and communicate actionable insights in an accessible way. This role is ideal for candidates with a solid foundation in data science who are eager to grow their technical expertise and create real business impact in a collaborative environment.

KEY RESPONSIBILITIES:

Data Preparation & Model Development:

• Work with diverse data sources, ensuring data is cleaned, prepared, and fit for analysis.
• Develop and fine-tune models across predictive analytics, supervised and unsupervised learning, and generative AI applications.

Cross-Team Collaboration:

• Partner with BI and IT teams to optimize data pipelines and ensure seamless data access.
• Act as a bridge between technical teams and business stakeholders, translating technical outputs into strategic business insights.

Model Interpretation & Business Impact:

• Analyse model performance, interpret outcomes, and present findings in an accessible manner to non-technical audiences.
• Translate model results into actionable recommendations that support data-driven business decisions.

Process Optimization:

• Leverage existing tools, frameworks, and cloud solutions to build efficient, scalable models.
• Identify opportunities for improving data workflows, model effectiveness, and overall ML operations.

YOUR EXPERIENCE:

• Bachelor’s or Master’s degree in Data Science, Computer Science, IT, or a related field.
• 2+ years of hands-on experience with data preparation, statistical analysis, and machine learning model development.
• Strong programming skills in Python and/or R, including experience with libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.
• Familiarity with building predictive models for asset valuation, using time series and distributional analysis techniques.
• Hands-on experience building predictive models using real-world, messy datasets.
• Experience working with cloud-based ML services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
• Familiarity with MLOps concepts such as model versioning, monitoring, and automated retraining pipelines.
• Knowledge of experiment tracking tools like MLflow, or version control for model development.
• Bonus: Experience in AI/ML lab setups, platform development, or scaling machine learning projects across multiple teams.

YOUR PERSONAL ATTRIBUTES:

• A curious mindset with a passion for understanding data and solving problems.
• Excellent communication skills, with the ability to translate technical insights into business terms.
• Hands-on mentality, solution orientation and a proactive work style.
• Strong organizational skills and attention to detail.
• A team player who thrives in a collaborative, fast-paced environment.
• Eager to learn and grow in the field of data science.

WHAT YOU CAN EXPECT FROM US:

• A multicultural, inspiring working environment
• Flat hierarchies and an open communication culture
• Flexible working hours and a modern office in the heart of Düsseldorf
• Continuous opportunities for professional and personal development
• Encouragement to independently develop and implement new ideas and concepts