Job Responsibilities
- Use machine learning and advanced statistics to help build innovative solutions for real-life customer and business problems
- Explore new technologies to use in your own solutions
- Grow alongside a diverse team of world-class experts in data science, software engineering, actuarial science, business, and design
- Transform data into meaningful conclusions and recommendations
- Validate the scientific methodology and project outputs of the other team members
- Collaborate with our teams in HK & Canada to share knowledge, learnings, results, and tools
Job Requirements
- Currently enrolled in a post-secondary degree in a quantitative discipline such as mathematics, science, engineering, statistics, AI, computer science or a related field.
- Relevant experience in predictive modelling, machine learning and advanced statistics solving business problems is an asset
- Knowledge of the underlying theory and implementation details of machine learning techniques such as clustering, decision trees, neural networks, Linear and Non-Linear Programming, Deep Learning (ANN, RNN, CNN) and Reinforcement Learning
- Experience with our tech stack is an asset: scikit-learn, xgboost, pytorch, tensorflow, LightGBM, pandas, numpy
- Programming experience in languages such as Python or R
- Unlimited curiosity and a passion to challenge the status quo
- Ability to focus on vaguely defined issues requiring the application of a creative approach
- Excellent communication, organization and a collaborative attitude