Job Description

THIS ROLE IS FOR UNDERGRADS ONLY, CURRENTLY IN UNI

We are a forward-thinking organisation focused on leveraging data to drive smarter decisions. From predictive analytics to real-time dashboards, we use data to uncover insights that improve performance, products, and customer experience. We're offering a hands-on internship opportunity for an enthusiastic undergraduate student to join our data science team and gain real-world experience.

Role Overview

As a

Data Science Intern

, you'll work closely with our analysts, engineers, and business teams to explore data, develop models, and communicate findings. This internship is designed to offer exposure to the full data science pipeline -- from data wrangling and visualisation to statistical analysis and machine learning.

Key Responsibilities

Clean, process, and analyse datasets from various sources Build visualisations and reports to communicate insights Support the development of predictive models and algorithms Work with Python, SQL, and relevant data tools (e.g. Pandas, Scikit-learn, Jupyter) Assist in the preparation of presentations for stakeholders Conduct research on relevant data science methods and best practices

Requirements

Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or related field Basic knowledge of Python and data libraries (Pandas, NumPy, Matplotlib, etc.) Familiarity with SQL and data manipulation techniques Strong problem-solving skills and attention to detail Good written and verbal communication skills Eagerness to learn and contribute to real projects

What You'll Gain

Real-world data science experience Mentorship and guidance from industry professionals A portfolio of projects to showcase on your CV Potential to transition into a longer-term role

How to Apply

To apply, please fill in the following application form:
> https://forms.gle/faJ65jvjsDSAevzr7

We look forward to learning more about you!

Job Types: Full-time, Graduate

Pay: From 23,000.00 per year

Benefits:

On-site parking Work from home
Work Location: In person

Application deadline: 05/09/2025
Reference ID: Undergrad