Intern - Customer Solutions
Dataiku - Singapore
Posted May 1, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Intern - Customer Solutions Singapore Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . Scope of Work - Follow Dataiku's structured 30/60/90-day onboarding plan to ramp up effectively. - Shadow Sales Engineers, Customer Success Managers, and Services consultants to build on-the-job proficiency. - Lead and execute 1-to-many scaled programs (e.g., webinars, office hours, user coaching, enablement sessions). - Develop reusable assets, such as demo projects, use cases, and technical presentations, tailored to specific industries or functions. - Participate in direct 1:1 customer engagements alongside experienced team members to gain real-world exposure. - Represent and promote the Dataiku Academy Program within your university, engaging lecturers and peers. - Drive special initiatives and collaboration projects with cross-functional teams. Requirements - 6-month full-time internship - Currently pursuing or recently completed a diploma or degree in Computer Science, Information Systems, or a related field. - Academic or practical background in Data Engineering and/or Data Science , with exposure to AI/ML
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