Consultant, Enterprise Analytics (Data Science)

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.

As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

If you believe in developing a better tomorrow, read on. 

About the Role

Responsible for changing AIA’s analytics landscape and business formulas by delivering best-in-class advanced analytical solutions to drive business growth, improve efficiencies and reduce costs

Roles and Responsibilities:

• Design, implement and evaluate advanced statistical and machine learning models and approaches for application to various business problem statements.
• Communicate findings from analytical modelling results to relevant stakeholders that will give insights to improve decision making and drive business performance.
• Implement machine learning models into production systems through proper MLOps practices and collaborating with relevant stakeholders.
• Develop processes and tools to monitor & analyse model performance, incorporate Responsible & Explainable AI for both traditional and Generative AI and implement improvements as needed. 
• Provide support in building the foundation of technical analytics capabilities within Enterprise Analytics department, including sharing of best practices for coding, modelling, and analysis within the team.
• Drive analytics innovation by keeping abreast of industry’s trends, evaluating, and adapting new and improved data science approaches for the business.

• Develop in depth understanding of the business and be able to advise the business on the technical solutioning by participating in business discussions and presentations as applicable.

Financial and Non-Financial Measures:

• Quality and Timeliness of completion of deliverables
• Effective stakeholder management
• Achieve planned benefits realisation
• Effective problem solving through self or through collaboration with teams

Communication Requirements

• Able to communicate to all levels in the organisation.
• Able to communicate complex model results in a simplified, comprehensible, and convincing manner for non-technical stakeholder audiences through Data & Business Storytelling skills.

Minimum Job Requirements:

• Bachelor’s degree ideally in STEM disciplines (Science, Technology, Engineering, Math); graduate degree in Economics, Statistics, Applied Math, Data Science, or another related quantitative field is preferred.
• Approximately 4-7 years of relevant hands-on experience in analytics/data science.
• Experience in Python for data analysis, visualization, and insight generation.
• Experience handling large datasets using advanced SQL/Spark based Big-Data technologies. Knowledge of Databricks is a plus.
• Experience with Business Intelligence tools (e.g. Tableau), Excel, PowerPoint.
• Knowledge of advanced statistical inferencing concepts (Distributions, Regressions, Hypothesis Testing, ANOVA, PCA, Factor Analysis, Feature Selection etc.) and experience with their appropriate applications.
• Knowledge of a variety of machine learning methods (GLMs, Clustering, Decision Trees, Ensemble Models, Time Series etc.) and their real-world advantages/drawbacks.
• Experience in maintaining Machine Learning production systems and MLOps.
• Understanding and experience in implementation of LLM based RAG applications will be a plus.
• Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.
• Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes.
• Project management skills and ability to manage multiple priorities.
• Strong sense of urgency, accountability, and ownership to drive business outcomes.
• Passionate about working with numbers.
• A drive to learn and master new technologies and techniques.

Believe in better with AIA. If you work at AIA, you play an important part in this movement. Which is why we give you every opportunity to learn, grow and shape your career - your way! 

#LI-SF1

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

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