Job Description

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

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