Data & AI Solutions Trainee

DXC Technology helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private, and hybrid cloud environments. We are seeking motivated and passionate graduates to join our Data & AI team through the Graduate Industry Traineeships(GRIT) Programme. The Graduate Industry Traineeships (GRIT) Programme is an initiative by the Skills and Workforce Development Agency (SWDA) that provides fresh graduates with structured traineeship opportunities across various industries for a period of 3 to 6 months. The programme aims to support fresh graduates with no prior working experience by providing hands-on industry exposure and practical skills development. Through structured training and real-world project experience, trainees gain industry-relevant competencies that support their transition into full-time employment.

About the Role The Data & AI Solutions Trainee will support DXC Technology's Data & AI team in delivering data-driven solutions for enterprise clients. This traineeship provides hands-on exposure to real-world data engineering, analytics, artificial intelligence, and machine learning projects within a global IT services environment. The trainee will work alongside experienced Data Scientists, AI Engineers, Solution Architects, and Consultants to develop foundational skills in data management, AI technologies, and enterprise-grade digital solutions. This role is ideal for motivated graduates who are passionate about data, analytics, artificial intelligence, and emerging technologies and are eager to apply their academic knowledge in a professional environment. 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.