Data ScientistInternship

About the role

Join our ai & research work as a data scientist intern. You will contribute to a scoped project, discuss your approach with the team, and document what you learn. This is a remote position with collaboration coordinated in GMT+7.

What you will do

• Clean and explore datasets with clear assumptions.
• Develop statistical or predictive baselines.
• Explain findings, uncertainty, and limitations to the team.

What you will build

A reproducible analysis, an evaluation notebook, and a decision-focused summary.

What we are looking for

• Python or R for analysis
• Statistics and data visualization fundamentals
• Willingness to ask questions, receive feedback, and document your work.
• Reliable communication and availability for agreed GMT+7 coordination.

Nice to have

Helpful experience, not a requirement to apply.

• SQL
• Time series or causal analysis

What you will learn

• Problem framing
• Robust evaluation
• Data storytelling

Team structure

You will collaborate with the ai & research team and relevant project contributors. A supervisor, review cadence, and project scope will be agreed during onboarding. The specific reporting line will be discussed during hiring.

Benefits & working arrangements

Remote collaboration, exposure to practical projects, feedback on your work, and opportunities to learn across disciplines. Public portfolio contributions require permission and respect for confidentiality.

Duration, weekly hours, equipment arrangements, and any additional benefits are confirmed in the written offer.

Salary / compensation

A compensation range has not been published for this internship. Ask about the arrangement during hiring; the final terms must be confirmed before you accept. No salary, allowance, or employment conversion is implied by this listing.

Hiring process

1. 01

   Apply with your work

   Choose a role and share your CV or profile, a project you can discuss, and your availability. Student and personal projects are welcome.

2. 02

   Application review

   The relevant team reviews your interests, foundations, and examples of work against the role. Applications are reviewed by people; no automated hiring decision is made.

3. 03

   Conversation & practical discussion

   If shortlisted, discuss your work and approach in an online conversation. Any role-specific exercise, scope, and expected time will be explained in advance.

4. 04

   Offer & onboarding

   Before you accept, confirm the scope, duration, time commitment, compensation if offered, supervision, and start date in writing.