Data Scientist (Remote from Poland - only)
13300-18000 PLN miesięcznie (Umowa o pracę)
Grupa Progres
Czym będziesz się zajmować?
- Develop, test, and maintain machine learning models to solve key business problems in areas such as policy retention, new acquisitions, risk management, etc.
- Perform statistical and predictive modeling using tools and techniques such as SQL, Python, Spark, machine learning, deep learning, natural language processing
- Implement NLP solutions for document analysis, search, summarization, and other descriptive and predictive tasks
- Work closely with stakeholders across the business to understand requirements and ensure models meet business needs
- Work with our Machine Learning Engineers to productionise, and implement model monitoring, model recalibration, and model performance reporting
Kogo poszukujemy?
- 2+ years' experience building and deploying machine learning models in a commercial setting
- Expert knowledge of Python, SQL, and common data science libraries (for example: NumPy, Pandas, SciKit-Learn, PySpark, Streamlit, Transformers, Pytorch, MLflow, etc.)
- Strong statistics and machine learning fundamentals.
- Excellent written and verbal communication skills in English
Nice to have:
- MSc or PhD in Computer Science, Software Engineering or any related quantitative field
- Familiarity with MLOps and CI/CD
- Experience in the insurance or financial services industry
- Knowledge of natural language processing techniques and libraries
- Experience with big data tools like Spark, Hadoop etc.
- Familiarity with cloud services such as AWS SageMaker, EMR, Athena etc.
Języki:
Jakie warunki i benefity otrzymasz?
- 13300-18000 PLN miesięcznie (Umowa o pracę)
- Umowa o pracę - Elastyczne godziny pracy (100%)
- Praca zdalna: W całości
- Budżet szkoleniowy, Szkolenia wewnętrzne, Klasy językowe
- Pakiet medyczny, Ubezpieczenie, Pakiet sportowy
Kim jesteśmy?
Aktualnie poszukujemy kandydata na stanowisko IT Managera dla naszego klienta, który specjalizuje się w tworzeniu zaawansowanych rozwiązań ML w branży ubezpieczeniowej.