Purpose:
Developing personalized models and algorithms aimed at fostering healthy habits, achieving positive health outcomes, and enhancing user engagement with the clients products and services
Optimizing customer communication through our expansive data assets
Employing Large Language Models (LLMs) to elevate our servicing and coaching capabilities
Fostering a culture of experimentation through a test-learn-adapt approach, ensuring continual improvement and innovation.
Individuals with two-five years’ experience (not required but advantageous) in the above areas will have the opportunity to work with cutting edge technology and advanced techniques to see their models used in real business applications.
Areas of responsibility may include but not limited to:
Data analysis and modelling
Collaboration with Cross-functional Teams
Reporting and Insights
Personal Attributes and Skills
A creative and enthusiastic attitude to unearthing valuable insights and generating value
Ability to balance multiple priorities and to step back and see how analytics work fits into the wider business context
Results driven, curious and able to work autonomously or within teams
Good time and task management skills
Ability to communicate results of analyses in a clear and effective manner
Aligned to the clients values and core purpose
Education and Experience
Honors, Master’s or PhD degree in either Data Science, Actuarial Science, Statistics, Operations Research, Computer Science or Applied Mathematics
Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing
Demonstrable working experience in an analytics position, where the focus was on building and implementing machine learning models to solve business problems
Experience accessing and analyzing data using language/tools/databases such as Python, R, SQL, etc.
Experience using Gradient Boosting Machines, Random Forests, Neural Networks or similar algorithms.
Good knowledge of Microsoft Office tools.
Advantageous
Some experience in working with big disparate sets of data and exposure to big data tools
Desired Skills:
- Big Data
- Computer Skills
- Data
- Data Analysis
- Data Science
- Digital
- Python