Data & AI Solutions Trainee
Job Description
About the Role
Key Responsibilities
- Assist in data collection, cleansing, transformation, and preprocessing activities for analytics and AI/ML projects.
- Support the development and testing of data pipelines and ETL (Extract, Transform, Load) processes.
- Build and maintain dashboards, reports, and visualizations for internal and client-facing projects.
- Participate in machine learning model development, testing, and evaluation under supervision.
- Conduct research on emerging AI, machine learning, and data engineering technologies and best practices.
- Document technical processes, workflows, methodologies, and project findings.
- Perform data validation and quality assurance activities.
- Support solution teams in preparing presentations, demonstrations, and technical documentation.
- Participate in agile ceremonies, sprint reviews, and knowledge-sharing sessions.
- Perform database queries, data extraction, and basic analysis tasks as assigned.
- Collaborate with cross-functional teams on innovation and AI-driven initiatives.
Technical Skills & Competencies
Applicants should possess basic to intermediate knowledge in at least two (2) of the following areas:
- Demonstrate proficiency in programming languages such as
Python, SQL, React, or Node.js
.
- Utilize AI-assisted development and productivity tools such as
Cursor, Replit, Claude Code
, or similar platforms.
- Perform database querying, management, and basic administration using
MySQL, PostgreSQL, or Microsoft SQL Server
.
- Apply AI and automation frameworks such as
n8n, LangChain
, or other AI orchestration tools.
- Understand cloud computing fundamentals and be familiar with
AWS, Microsoft Azure, or Google Cloud Platform (GCP)
.
- Apply data engineering concepts including
ETL processes, data warehousing, and data integration
.
- Use version control tools such as
Git and GitHub
to manage and collaborate on code development.
- Leverage
Unity 3D, Unreal Engine
, or similar platforms for 3D development projects (optional).
- Demonstrate strong analytical thinking and problem-solving capabilities when working with technical challenges.
- Exhibit attention to detail and a commitment to producing high-quality deliverables.
- Communicate effectively and collaborate with cross-functional teams in a professional environment.
- Show adaptability, a willingness to learn, and curiosity about AI, data, and emerging technologies.
Eligibility Criteria
All trainees must fulfil the following criteria:
- Singapore Citizen or Singapore Permanent Resident.
- Graduated in 2024, 2025, or 2026 from a University, Polytechnic, Institute of Technical Education (ITE), or other educational institution (including private universities and overseas institutions); or
- Graduated earlier from the above institutions and completed National Service (NS) in 2024, 2025, or 2026.
- Must have no prior working experience.
- Must be prepared to commit six (6) month full-time traineeship with DXC Technology.
Note: Trainees who complete their studies in 2026 but will only receive their qualification or certification award in 2027 are also eligible to apply.
What You Will Gain
- Hands-on experience working on enterprise Data & AI projects.
- Exposure to modern cloud, analytics, and artificial intelligence technologies.
- Mentorship from experienced Data Scientists, AI Engineers, and Technology Leaders.
- Practical experience in data engineering, machine learning, and AI solution delivery.
- Professional development within a global IT services organization.
- Opportunity to build industry-relevant skills and enhance future employability.
Location: Singapore Employment Type: Full-Time Traineeship (6 Months) Depending on project assignment, you may be required to work at a client site and successfully pass any required security clearance checks.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.
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Not included in the source posting: about the role, benefits.
Skills
Who can apply
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