Why join us
Dragon Law’s core mission is to help small and midsized organizations to modernise their businesses, increase their efficiency and reduce cost. We do this with our proprietary, Cloud based App using state of the art technology. The passion for a technology based approach to running our business is deeply ingrained in whatever we do.
Data management and intelligent use of data are critical enablers to the success of online businesses. At Dragon Law, we have a wide range of data sources and a body of historical data that we use to develop better tools and experiences to meet our customer's legal and business needs. Making sense of this data, managing the storage, transformation, and processing of that data, and applying modern techniques such as mining and machine learning present a varied set of challenges requiring a unique combination of technical acumen and business savvy.
An intern will have the opportunity to work with our team under the supervision of a Data Officer, at various stages of the data management process. There will opportunity to apply techniques to solve a concrete business challenge, and develop skills working with real data, as part of a diverse, ambitious team of experienced professionals dedicated to building one of Asia’s top companies.
- Familiarity with use and administration of relational and NoSQL database
- Some experience with statistical software tools such as SPSS, SAS, or R
- Some programming experience in languages such as Python, Ruby, and R
- Good written English skills
Prior internship experience in fast‐paced startup environment a plus but not essential
- Fluent written and spoken English is a must
- Other languages spoken in Singapore a plus but not essential
Undergraduate or graduate coursework in programming and mathematics
All interns will be paid a modest monthly stipend and be reimbursed for expenses incurred in the course of performing work
Must possess valid (student/visit) pass in Hong Kong that allows for minimum two months' full‐time work
- Data Management
- Data Science
- Machine Learning
- Ruby on Rails
- SAS (Statistical Software)