Data Analytics Intern

• Support the development of different data science initiatives including predictive models and statistically rigorous advanced model scripts to support data science & analytics initiatives on AI, machine learning/ deep learning (NLP/CV).
• Perform advanced analysis using statistical techniques & algorithms to facilitate effective targeting, segmentation, and identification of opportunities around cross-sell / up-sell, retention and marketing program optimization.
• Ability to perform the big data analytics processes on massive data sets from different data sources: explanatory and targeted data analyses, generate and test working hypotheses, analyze historical data and identify features & signals.

• Manage BI solution development and implementation for various MI reporting (Power BI)
• Deliver insights from the data visualization process from a customer-centric approach
• Deploy analytics capabilities ranging from organization BI to advanced models to improve ongoing insight generation process and the application of such in a business-relevant way
• Support digital data cleansing based on the business requirement.

• Adhoc strategy projects covering DataMart & API on Cloud (Azure), customer segmentation, customer campaigns targeting etc.
• Work on Data projects with different stakeholders to expand data science discipline into business application spectrum.
• Work with business partners and external vendors/partners on acquiring and compiling new external data sources for the enrichment of big data analytics database.
• Learn project and stakeholder management skillsets through assisting on project activities
• Maintain project and task backlog for better task management and prioritization

• Set up the automated mechanism to distribute problematic records to relevant stakeholders on data quality program
• Support Master Data Management system health check and rule engine enhancement project with IT counterparties
• Assist the deployment of Meta-data management platform

• Project experience in data science/ analytics field.
• Major in quantitative related subjects (e.g. Statistics, Maths, Engineering, Actuarial, etc).
• Knowledge of predictive modeling, big data analysis, and data science projects ( e.g. Random forest, Gradient boosting tree, Neural network, NLP etc.)
• Must have high proficiency in scripting/programming language like Python, R, SAS, SQL
• Have experience with Cloud solution such as Azure, AWS is a plus
• Have experience with Google Analytics is a plus
• Previous exposure to / knowledge of the insurance industry will be an asset
• Proactive and with a can-do attitude
• Good command of English, Cantonese / Mandarin

AXA