Data Science Intern profile banner profile banner

Data Science Intern

The Programme 

Employers are looking for ways to attract the best talents in the market, engage their workforce and manage it at a reasonable cost. On the other hand, Employees are looking for more than just basic protection benefits. They are also looking at benefits that boost well-being.  

Career Opportunities: 

  • Learn to solve real business problem with advanced data science technique.
  • Understand insurance from analytical point of view.
  • Great exposure in participating in large scale projects that impact various business lines. 

What You Will Do 

  • Responsible for data analytics, ad hoc request & dashboard.
  • Help innovate & develop predictive models and statistically rigorous advanced model scripts to support data science & analytics initiatives on AI, machine learning/ deep learning.
  • Perform advanced analytics using statistical techniques & algorithms to facilitating effective targeting, segmentation, and identification of opportunities.
  • Commercialization of insights from data scientists under a customer-centric, need-based context and turn into campaign opportunities to business lines and distribution models. 

Required Skills and Abilities 

  • Prefer undergrad students in quantitative related subjects (e.g. Statistics, Maths, Actuarial, etc.).
  • Knowledge of predictive modelling, big data analysis, and data science projects: machine learning, statistical modeling, and data mining techniques & algorithms (e.g., logistic regression, linear regression etc.).
  • Some experience in scripting/programming language like Python, SQL.
  • Proactive and with a can-do attitude.
  • Good command of English, Cantonese and preferably Mandarin. 
Closed 4 months ago
Closed 4 months ago
  • Job type:Internships
  • Disciplines:

    Actuary, Data Science and Analytics, Mathematics,

  • Citizenships:

  • Locations:

    Hong Kong (Hong

  • Closing Date:10th Apr 2021, 6:00 pm


Enter an employer or university you want to find in our search bar.