Company

Strides Digital

Designation

Data Engineering & AI Intern

Date Listed

29 Jun 2026

Job Type

Entry Level / Junior Executive

Job Period

From Aug 2026, For At Least 6 Months

Profession

IT / Information Technology

Industry

Others

Location Name

Paya Lebar Road, PLQ Mall, Singapore

Address

10 Paya Lebar Rd, Singapore 409057

Map

Allowance / Remuneration

$1,500 monthly

Company Profile

The company aims to accelerate the future of mobility via empowering businesses to capture value in their transformation journey through data and digitalisation

Job Description

As a Data Engineering & Artificial Intelligence Intern, you will work closely with data scientists, data engineers, software engineers, and business stakeholders to design, build, and deploy data-driven and AI-powered solutions that address real-world challenges. You will gain hands-on experience in developing data pipelines, managing data platforms, and building machine learning solutions that support operational excellence and business innovation.

Roles and Responsibilities:

• Perform data exploration, cleaning, feature engineering, and model evaluation using structured and unstructured datasets.
• Develop and maintain data ingestion, ETL/ELT pipelines, and workflows to support AI model development and business analytics.
• Assist in designing, building, and optimizing scalable data pipelines and data models for analytics and machine learning applications.
• Support the development of machine learning and AI models for use cases related to transportation industry.
• Assist in building AI pipelines, dashboards, and data products to deliver actionable insights for operations and management.
• Collaborate with cross-functional teams to understand business problems and translate them into AI solutions.
• Participate in proof-of-concepts (POCs) and pilots, and support deployment into production environments where applicable.
• Research new techniques, tools, and algorithms to enhance the team's capabilities and contribute to innovation.
• Assist in organizing and managing data repositories, documenting data sources, methodologies, and findings, and ensuring data security and privacy.

Qualifications/Experience:

• Bachelor's degree or Postgraduate degree in Artificial Intelligence, Data Engineering, Data Science, Computer Science, Statistics, or related fields.
• Strong foundation in Python and familiarity with data science libraries (e.g. pandas, numpy, scikit-learn, PyTorch / TensorFlow)
• Understanding of machine learning concepts (supervised/unsupervised learning, model validation, evaluation metrics)
• Familiarity with Large Language Models (LLMs), Generative AI concepts, and prompt engineering.
• Good knowledge of SQL and relational databases, with experience querying and manipulating large datasets.
• Familiarity with data engineering concepts such as ETL/ELT processes, data pipelines, data warehousing, and data modelling.
• Exposure to cloud platforms (e.g. Microsoft Azure, AWS, or Google Cloud Platform) and data engineering services is an advantage.
• Familiarity with data orchestration or workflow tools (e.g. Apache Airflow, Azure Data Factory) is an advantage.
• Basic understanding of version control (Git) and software development best practices.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to communicate effectively and collaborate within multidisciplinary teams.
• Self-motivated, eager to learn, and passionate about AI, data engineering, and digital transformation.

Application Instructions

Please apply for this position by emailing your text CV to

Kindly note that only shortlisted candidates will be notified.
Candidates must be available for a minimum internship period of six (6) months. Applications for internships shorter than six months will not be considered.

For non-credit bearing internship, school placement letter is required.