Data Science Intern
iPrice group, Malaysia
Job Description
Our vision is to become your Online Shopping Companion, the place where Southeast Asia’s 600M people start their e-commerce journey, where consumers discover the latest deals, compare prices and save money. With more than 6 billion offers on our platform, 100+ million unique shoppers last year, and a reputation as an independent authority when it comes to insights about the regional e-commerce sector, iPrice is at the centre of Southeast Asia’s e-commerce revolution.
Why join us?
Surround yourself with people who are ambitious, passionate, dynamic and constantly looking for ways to improve themselves:
- Work in a Booming Sector with Exciting Challenges
- Connect with an Inspirational Leadership Team
- Hyper-charge your Personal Growth
- And don't miss out on our Awesome Culture
A a Data Science Intern at iPrice, you will have the opportunity to help one of SE Asia’s fastest growing businesses scale in a booming e-commerce market. With access to one of the region’s largest and most robust databases, encompassing everything from consumer demographics to on-site behavior, you will use the latest cutting-edge data science tools to help take our business to the next level. You will be a catalyst to enable high turnaround of data science team deliverables and work with cross functional teams to enable sophisticated modeling outcomes.
Responsibilities
- Understand the relationship between business and math, to enable modeling solutions and analyses for the business
- Produce and deploy data models, to improve iPrice web experience
- Assist with upgrading current models and building data flow pipeline
- Review and validate model deployments for a positive outcome on business
Requirements
- Current or former student of Computer Science, Information Technology, Data Science or a related major
- Knowledge of python coding language
- Creative problem-solving skills, effective interpersonal and communication skills
- Experience in an analytical role, is a plus
- Interested in the e-commerce industry and keen on exploring the data industry