AI and Machine Learning Data Scientist (Insurance)

Get quick access to Insurance Data Science Consultants with extensive experience

Cloud Description

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

Are you an Expert in this field?

If you possess proficiency in any of the skills in this field, you can apply to this TalentCloud. Once you have been approved to join this Cloud, you will be able to access exclusive contract opportunities from our clients.