Data Science Trainee
Hybrid · Poznań, Greater Poland, Poland
Job Summary
Data Science Trainee to be based in Poznań Office; internship with 20-35 hours/week, hybrid working pattern. Responsibilities include researching and developing predictive models for hydroponic cultivation, testing architectures (neural networks, ARIMA, D-Linear, decision trees), optimizing parameters, analyzing external factors and substrate/crop type impact, automating experiments, and building algorithms from predictive results. Familiarity with Python (numpy, pandas, scikit-learn) and ML fundamentals is required; AWS exposure (SageMaker, EC2, S3) and deep learning libraries (TensorFlow, PyTorch) are nice-to-have. English at least level B2. The role offers onboarding, a modern office in Poznań, and a flexible/hybrid work style.
Required Qualifications
- Current student status
- Completed at least 3 years of higher education in Computer Science, Mathematics, Engineering, Data Science, or a related field
- Knowledge of Python (numpy, pandas, scikit-learn)
- English at minimum B2 level
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