Machine Learning Model Developer
6 days ago
About Us
Data Science and Analytics
We are a team at Discovery Limited that applies predictive analytics, machine learning, big data, and operations research skills to tackle challenges in the health, life, and short-term insurance businesses. Our focus is on running and supporting key projects for the Group and for the individual business units.
Key Challenges
- Risk management through behavioral science and intervention design
- Combining traditional data with novel sources in new ways
- Experimental design for product, rewards, marketing, communications, engagement
- Advising partner markets on how to customize and deploy locally built models
As a member of our team, you will have the opportunity to work with cutting-edge technology and advanced techniques to see your models used in real business applications.
Areas of Responsibility
- Identify and build appropriate models to predict risk, sales, and savings
- Presentation of data insights and model findings to stakeholders
- Mining and visualizing large datasets to inform product design, risk management, customer interaction strategies
- Model implementation and adoption
- Monitoring model performance and feedback for improvement
- Process and data collection improvements
- Running scientific experiments to evaluate different models
- Analytical work focused on customers, business, and staff
Requirements
- Creative attitude to unearthing valuable insights and generating value for clients
- Ability to balance multiple priorities and see how analytics fits into the wider business context
- Results-driven, curious, and able to work autonomously or within teams
- Good time and task management skills
- Clear communication of analysis results
- Alignment with Discovery values and core purpose
Education and Experience
- Master's or PhD degree in Data Science, Actuarial Science, Statistics, Operations Research, Computer Science, Applied Mathematics, or Engineering fields
- Ability to formulate problem statements, develop plans, and communicate findings verbally, visually, and in writing
- Demonstrable working experience in analytics positions focusing on machine learning models
- Experience accessing and analyzing data using Python, R, SQL, etc.
- Knowledge of Gradient Boosting Machines, Random Forests, Neural Networks, or similar algorithms
- Microsoft Office tools proficiency
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