We are looking for a talented Data Scientist to extract insights from complex datasets and build predictive models. The ideal candidate will have a strong background in data science and machine learning, with experience in Python or R and SQL. The role involves analyzing large datasets, developing statistical models, and collaborating with business and technical teams.
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Key Responsibilities
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Job Description
📌 Job Title: Data Scientist
📍 Location: Berlin / Munich / Frankfurt, Germany
💼 Employment Type: Full-time (Hybrid / Remote options available)
🏢 Company: UKY Justice Commission
🌟 About the CompanyUKY Justice Commission is a data-driven organisation leveraging advanced analytics and AI to support strategic decision-making across Germany and Europe. We are looking for a talented Data Scientist to extract insights from complex datasets and build predictive models.
🚀 Key Responsibilities- Analyse large datasets to identify trends and actionable insights
- Develop and implement statistical models and machine learning algorithms
- Work on use cases such as predictive analytics, forecasting, and customer segmentation
- Clean, preprocess, and validate structured and unstructured data
- Collaborate with business and technical teams to define data solutions
- Communicate findings through dashboards, reports, and visualisations
- Continuously improve model performance and data processes
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- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field
- 2–5 years of experience in data science or analytics roles
- Strong proficiency in Python or R
- Experience with machine learning libraries (Scikit-learn, TensorFlow, PyTorch)
- Strong knowledge of statistics and data modelling
- Proficiency in SQL and data manipulation
- Experience with data visualisation tools (Tableau, Power BI, Matplotlib, Seaborn)
- Familiarity with big data tools (Spark, Hadoop) is a plus
- Strong analytical thinking and problem-solving skills
- Fluent in English; German is a plus
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- Competitive salary aligned with the German data market
- Flexible working hours and hybrid/remote options
- 25–30 days annual leave
- Health insurance and social security benefits
- Career development and training opportunities
- International and collaborative work environment
- Visa sponsorship / EU Blue Card support if applicable
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