Data Science Intern
2 weeks ago
In this internship, you would work with our data science related projects for our clients. You would gain hands on experience in understanding client’s business needs, doing data preparation, working through the data points, linkages and patterns to derive data insights with the use of machine learning models. You would be interacting with our clients with the guidance of your seniors.
Our Data Science Interns would have the opportunity to join us as our permanent staff after the internship.
The minimum period for the internship is 6 months.
**Your profile**
- Final Year students who are currently pursuing a degree program in Computer Science/Data Science, Statistical Mathematics, Engineering, Actuarial Science or any other related discipline with good data science exposure
- Competent in SQL and Python programming; Familiar with Hadoop, Sparks and its libraries
- Experience on Graph Databases would be advantageous
- Enthusiastic learner with good command of English (spoken and written)
- Strong analytical and problem-solving skills
- Good communicator, able to think-on-your-feet, have a customer service attitude
- Enjoy working in a team and is a good team player
- Able to commit to 6 months internship for training
**Join us**
At BioQuest, we value collaboration, teamwork and knowledge transfers. Our culture is friendly and supportive with a strong emphasis on ethics, diversity and inclusiveness.
- Learning opportunities in emerging technologies
- Mentorship with experienced technical consultants
- Supportive and collaborative work environment
- Excellent career growth path for good performers
We are an equal opportunity employer.
**Job Types**: Full-time, Internship
**Salary**: RM1,030.00 per month
**Benefits**:
- Professional development
Schedule:
- Monday to Friday
Ability to commute/relocate:
- Kuala Lumpur: Reliably commute or planning to relocate before starting work (required)
**Experience**:
- SQL: 1 year (preferred)
- Machine Learning: 1 year (preferred)
- Neo4j: 1 year (preferred)
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