Kuala Lumpur, Kuala Lumpur, Malaysia · Hybrid
About the Role Calibrax AI delivers end-to-end AI solutions, from strategy and model development to deployment, integration, and long-term optimisation. Our engineers build the systems that make AI actually work at scale…
Skills: Python, Pandas, Numpy, Scikit-learn, SQL
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Support engineering and delivery teams by preparing, exploring, and modelling data for internal systems and tooling. This includes pulling, cleaning, and validating datasets and contributing to models, dashboards, or pipeline components.
Candidates should be pursuing or have completed a degree in a quantitative field with proficiency in Python and SQL. A solid grounding in core ML concepts and the ability to communicate technical findings to non-technical stakeholders is required.
Calibrax AI delivers end-to-end AI solutions, from strategy and model development to deployment, integration, and long-term optimisation. Our engineers build the systems that make AI actually work at scale: pipelines, APIs, integrations, and the infrastructure that keeps everything running. We work across a diverse range of clients and enterprises, in environments where reliability and performance are not optional.
We are looking for a Data Science Intern who can support our engineering and delivery teams in preparing, exploring, and modelling the data that feeds our internal systems and tooling. During this internship, you'll be working with real datasets, real constraints, and real deliverables, alongside consultants and engineers who expect you to bring rigour, not just curiosity.
Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field
Comfortable with ambiguity as client data can be messy, priorities shift, and you won't always get a clean brief
Genuinely interested in how AI systems behave in production
Able to explain your reasoning and your results to people who are not technical
Self-directed enough to move with minimal hand-holding, but knows when to flag a blocker early
Proficiency in Python for data work (pandas, numpy, and at least one ML library such as scikit-learn)
Working knowledge of SQL
Solid grounding in core ML concepts like regression, classification, clustering, and how to evaluate a model honestly
Experience with data cleaning, exploratory data analysis, and visualisation
Strong written English, since findings get communicated to the team and leadership, not just left in a notebook
Within the first few weeks, you're pulling, cleaning, and validating datasets independently, with minimal supervision
You've contributed to at least one deliverable, a model, a dashboard, or a pipeline component
You can walk a non-technical internal stakeholder through your analysis and its limitations without oversimplifying or overselling it
You flag data quality or scope issues proactively, before they become someone else's problem
Calibrated AI. Accelerated Business.
Calibrax.ai is a team of high-caliber AI practitioners dedicated to building cutting-edge, practical AI solutions with real business impact. We help organizations craft their AI strategy, ensuring alignment with their goals, and deliver end-to-end solutions—from ideation and model development to deployment and long-term optimization. Our culture values ownership, curiosity, and innovation—where questioning assumptions, learning continuously, and thinking differently are encouraged. At Calibrax, we don’t just develop AI; we calibrate it for precision, efficiency, and long-term success.
Calibrated AI. Accelerated Business.
Calibrax.ai is a team of high-caliber AI practitioners dedicated to building cutting-edge, practical AI solutions with real business impact. We help organizations craft their AI strategy, ensuring alignment with their goals, and deliver end-to-end solutions—from ideation and model development to deployment and long-term optimization. Our culture values ownership, curiosity, and innovation—where questioning assumptions, learning continuously, and thinking differently are encouraged. At Calibrax, we don’t just develop AI; we calibrate it for precision, efficiency, and long-term success.
