Data Scientist
Job type:Permanent
Town/City:Remote
Region:Nordrhein-Westfalen
Sector:Data & AI
Client Company Type:In-House
Job ref:9060
Post Date:May 15, 2026
Meet Our Recruiter
About the Role
Data Scientist
Location: Germany / Remote
Our client is seeking a Data Scientist to support the development of predictive models and data-driven analytics solutions within a fast-paced environment. This role focuses on time series analysis, machine learning and the application of modern AI approaches to large-scale datasets.
Location: Germany / Remote
Our client is seeking a Data Scientist to support the development of predictive models and data-driven analytics solutions within a fast-paced environment. This role focuses on time series analysis, machine learning and the application of modern AI approaches to large-scale datasets.
Key Responsibilities:
- Develop and optimise predictive models and analytical frameworks.
- Analyse large datasets to identify patterns, trends and actionable insights.
- Support forecasting and modelling initiatives using statistical and machine learning techniques.
- Work with structured and unstructured data sources, including text-based datasets.
- Conduct backtesting, validation and performance optimisation of models.
- Collaborate with technical and business stakeholders on data-driven initiatives.
- Contribute to the evolution of modern AI and analytics capabilities.
Your Profile:
- Strong experience within data science, quantitative analysis or statistical modelling environments.
- Expertise in time series analysis and forecasting techniques.
- Strong Python programming skills.
- Experience with machine learning and AI-related technologies.
- Analytical, hands-on and solution-oriented mindset.
- Ability to work independently and take ownership of projects.
- Strong communication and collaboration skills.
What’s on Offer?
- Flexible remote working environment.
- Exposure to modern AI and advanced analytics projects.
- High level of ownership and influence within the role.
- Long-term development and growth opportunities.