Sound understanding of ML concepts Probabilistic Models, Supervised vs Unsupervised Learning, Ensemble Techniques, Hyperparameter Optimization, and Deep Learning; Strong experience in developing and maintaining machine learning models.

· Proficient in Python with strong capabilities in data engineering, data transformation, data analysis and data visualization. Knowledge of R/SQL will be a plus

· Good knowledge in machine learning tools and libraries (scikit-learn, h2o, R, MLlib, etc)

3-10 years programming experience in Python, including Numpy, Scipy, Pandas, Regex, Matplotlib and other machine learning libraries
Experience in visualization tools like Qlik, Power BI etc. will be an added advantage
Must have experience with data and machine learning services using Azure
Must have experience with Github and RESTful APIs
Knowledge/ Experience in Big data technologies will be an advantage
Should be able to work in a team setting to understand problems and map out solutions; Must have strong problem solving skills
Multi-tasking along with strong organization and time management skills is essential
Should be adept at research and must look to apply new methodologies to varied situations
Strong communication and presentation skills
Must possess an advanced degree in data science, business analytics, computers, statistics, mathematics or economics

Actuarial