Data scientists in the insurance industry should be able to use statistical models and supervised and unsupervised machine learning to solve a variety of business problems. Experts in this TalentCloud are expected to have 3+ years of experience in the insurance industry.
Required Skills
- Proficient in Python/R and SAS/STATA
- 3+ years of experience in the insurance industry or a related field
- Extensive experience with quantitative research, optimization, statistical models, time series analysis, forecasting, and back-testing
- 2+ years of experience with NLP/NLU and Computer Vision
- Extensive experience with scikit-learn, statsmodels, SciPy, Keras, PyTorch, and TensorFlow or similar packages in R
- Expert in supervised (classification, regression) and unsupervised machine learning (anomaly detection, cluster analysis)
- Proficient in building/ tuning/ testing models using machine learning and deep learning algorithms including tree-based methods, Bayesian models, support vector machines, feed forward networks, recurrent neural networks, and convolutional neural networks
- Extensive experience with feature engineering and dimensionality reduction methods
- Expert in pre-processing data including dealing with anomalies and outliers, dealing with missing values, flooring/ capping, and data transformations
- Hands-on experience writing data processing and data pipeline for structured and unstructured data model development
- Expert in statistical models such as regression analysis, survival analysis, and time series analysis
- Proficient in SQL
- Excellent communication and storytelling skills
- Comfortable working independently
- Familiarity with version control, especially Git/GitHub
Preferred Skills
- Graduate degree or foreign equivalent in Statistics, Applied Statistics, Economics, Computer Science, or another related quantitative field
- Experience with econometric models such panel data analysis and vector autoregression
- Experience with Apache Spark
- Experience with NoSQL databases
- Experience with Django
- Experience with Containers
- Experience in cloud platforms such as GCP, AWS, or Azure
