Data Science Intern

Company Description
All Squares Solutions helps businesses in Singapore and the United Kingdom integrate AI and automation into their daily operations. The company focuses on sectors such as family offices, freight and logistics, manufacturing, financial services, insurance, and commercial property and real estate. All Squares Solutions addresses practical challenges including document processing, reporting, approvals, quote follow-up, invoice preparation, and operational administration. By assessing existing workflows, the team identifies high-value opportunities and implements tailored solutions using standard software, process changes, integrations, or custom builds. Clients benefit from measured implementation outcomes and can explore further work based on demonstrated results.
Role Description
The Data Science Intern role is a part-time remote position supporting the design and delivery of data-driven solutions for client workflows. Day-to-day tasks include cleaning, organizing, and analyzing datasets to uncover patterns and insights relevant to AI and automation opportunities. The intern will assist in building and evaluating statistical and machine learning models, preparing visualizations and reports, and helping translate data findings into practical recommendations. Responsibilities also include collaborating with consultants and engineers, documenting analysis steps, and contributing to internal tools and prototypes that streamline client operations. The intern is expected to work independently, manage priorities, and communicate progress clearly in a remote environment.
Qualifications
Candidates should possess strong Analytical Skills to interpret complex datasets and support data-driven decision-making.
Candidates should possess skills in Statistics for hypothesis testing, model evaluation, and quantitative analysis.
Candidates should possess foundational Data Science skills, including familiarity with machine learning concepts and model development.
Candidates should possess skills in Data Analytics and Data Analysis to extract insights, build dashboards, and prepare accessible reports.
Proficiency in at least one programming language commonly used in data science (such as Python or R) and experience with data libraries and tools.
Working knowledge of SQL or similar tools for querying and managing structured data.
Clear written and verbal communication skills and the ability to explain technical concepts to non-technical audiences.
Ability to work remotely in a structured, self-directed manner and collaborate effectively with distributed teams.
Interest in AI, automation, and practical business applications of data-driven solutions.

Work arrangement
Yes