Intern - Data Science

DKSH Group; Kuala Lumpur; On-site; MYR 13,000 - 27,000; Full time

Job summary

DKSH Group in Kuala Lumpur is offering an Intern - Data Science to support the ITA team in data-driven initiatives across multiple business units. You will contribute to data collection, preparation, model development, and reporting while growing technical and professional skills in a collaborative setting.

The role emphasizes learning, cross-functional collaboration, and delivering insights through dashboards and visualizations.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Familiarity with Python and data science libraries (pandas, scikit-learn, matplotlib).
• Familiarity with PySpark; Databricks is a plus.
• Basic knowledge of SQL for data querying and manipulation.
• Strong analytical thinking and attention to detail.
• Willingness to learn and collaborate in a cross-functional team.
• Proficiency with Microsoft Office (Excel, Word, PowerPoint).
• Good written and spoken English communication.

Responsibilities

• Assist in data collection, cleaning, and preparation for analysis and modelling.
• Support model development, validation, and monitoring using statistical and ML methods.
• Build visualizations, dashboards, and reports for stakeholders.
• Explore new data sources and contribute to use case ideation and feasibility assessments.
• Coordinate with IT and business stakeholders to support analytics initiatives.
• Document work to ensure reproducibility and knowledge sharing.

Skills

Python

Pandas

Scikit-learn

Matplotlib

PySpark

SQL

Excel

English

Communication

Education

Bachelor’s or Master’s in related field

Tools

Databricks

Job description

Title: Intern - Data Science

Location: Kuala Lumpur, MY, MY

Global Business Unit: OTH

Job Function: Information Technology

Requisition Number: 244953

Description:

About the Role

As an Intern, Data Science, you will support DKSH's ITA team in driving data-driven initiatives that enhance decision-making, automation, and analytical capabilities across multiple business units. This internship provides a meaningful opportunity to contribute to real-world data science projects while growing your technical and professional skills in a collaborative environment.

What You Will Deliver

• Assist in data collection, cleaning, and preparation across various internal and external sources to ensure high-quality inputs for analysis and modelling


• Support model development, validation, and performance monitoring using statistical and machine learning techniques


• Build visualizations, dashboards, and reports that communicate data insights clearly to business stakeholders


• Explore new data sources and contribute to use case ideation and feasibility assessments alongside team members


• Coordinate with business and Information Technology (IT) stakeholders to support ongoing analytics and data science initiatives


• Document work clearly to ensure reproducibility and facilitate knowledge sharing within the team

What You Bring

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field


• Familiarity with Python and data science libraries such as pandas, scikit-learn, and matplotlib


• Familiarity with PySpark; experience with Databricks is a plus


• Basic knowledge of Structured Query Language (SQL) for data querying and manipulation


• Strong analytical thinking and attention to detail


• Willingness to learn and contribute to a collaborative, cross-functional team environment


• Proficiency in Microsoft Office tools including Excel, Word, and PowerPoint


• Good written and spoken communication skills in English

Why Join DKSH

At DKSH, we help companies grow in Asia and enable people to perform at their best. You will be part of an organization that values accountability, collaboration, and long-term partnerships. We offer a dynamic environment where your contributions are visible and where you can build a meaningful career in ITA.