At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone.If you believe in developing a better tomorrow, read on.WE ARE LOOKING FOR .....A creative stats nerd who plays 2 key roles within our newly formed digital channel which are:
- Responsible for ensuring successful end to end delivery of data science initiatives. These initiatives range from customer retention, lead generation, cross selling and fraud detection.
- Develop real world methodologies for experimentation and causal inference in the digital space.
Roles and Responsibilities:- Creatively solve business problems using advanced statistical analyses and machine learning techniques.
- Design, execute experiments and discover new insights to develop an understanding of consumer behavior based on experiment outcomes.
- Develop machine learning pipelines to streamline and automate deployment of models.
- Track and improve performance of data science solutions developed.
- Work with engineers to improve the data collection process.
- Partner with diverse business functions to identify & prioritize opportunities where data science can add value and provide analytics solutioning / quick prototypes that are relevant to business needs in the areas of (not limited to) persona development, signal / propensity based targeting, data-driven personalization & messaging capability, full cycle leads targeting, fraud detection, cross selling/ up selling, etc.
- Research and experiment with state-of-the-art machine learning techniques and tools
- Implement and manage a high standard of documentation.
Minimum Job Requirements:- Background in behavioral economics or research is an added advantage
- Strong mathematical, statistical or actuarial background
- Minimum 5 years of practical experience in data science, analytics, scientific research, business consulting, computing or similar data-driven roles
- Extensive experience in the complete modeling lifecycle, from ideation to deployment and continual monitoring and maintenance
- Proficient in Python and R or other statistical and scientific tools
- Preferably has experience in machine learning engineering
- Preferably familiar with Azure tools for data science
- Preferably familiar with data visualization techniques using one or more packages such PowerBI, Tableau or D3 visualisation
- Results oriented. You can cut to the core of a problem, identify what needs to be done and work with the teams to get products launched
- A talent for constructive communication of ideas, issues and solutions in a team environment
- Extremely motivated to continue learning and growing
- High level of accuracy and attention to detail
- Strong business acumen, project and people management skills
- Ability to build relationships in an international environment with a diverse group of internal and external stakeholders at different levels of the organization
