Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. 

Position Overview:

We are seeking a passionate and motivated Data Scientist Intern to join our team. The ideal candidate has a strong foundation in applied mathematics, data analytics and programming (Python and SQL). You will work closely with our data science and engineering teams to develop, test, and evaluate intelligent system models for real-world applications.

Key Responsibilities:

• Create visualizations using PowerBI
• Perform basic EDA, data preprocessing and inferential analysis
• Analyze large datasets, extract meaningful patterns, and prepare data for modeling.
• Assist in the design, development, and implementation of machine learning models, especially time series forecasting algorithms.
• Collaborate with cross-functional teams to understand domain-specific requirements.
• Document findings, methodologies, and present results to the team.

Qualifications:

• Bachelor’s degree in engineering/technology
• Knowledge in Python and SQL scripting
• Familiarity with PowerBI or similar Visualization tools
• Knowledge in machine learning fundamentals (classical) and statistical inference is a plus.
• Strong analytical, problem-solving, and communication skills.
• Good-to-have: Knowledge of automotive systems and sub systems
• Good-to-have: Experience with simulation tools (e.g. MATLAB/Simulink, or similar) is a plus.
• Good to have: Experience in mathematical modelling

Skills

• Python & SQL
• Data Cleaning
• Exploratory Data Analysis
• Data Visualization Tools (Power BI, Tableau)
• Statistics and applied mathematics