Interrnship - Data Scientist and Automation

Infineon Technologies; Singapore; On-site; SGD 13,392 - 20,088; Full time

Job summary

Infineon Technologies Singapore invites a data science student to join the digitalization team. Under senior guidance, you will engage in projects across digitalization and AI to drive real-world impact.

Your role includes designing automation pipelines, applying analytics and modeling, developing dashboards, and assisting in AI model training and validation within a manufacturing context. This internship emphasizes collaboration and practical learning.

Qualifications

• Enrolled in a degree program in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Strong interest in artificial intelligence and machine learning applications.
• Programming skills in Python and SQL; experience with R or Java is a plus.
• ML frameworks exposure: TensorFlow, PyTorch; data preprocessing and model evaluation advantageous.
• Experience with data visualization tools such as Tableau, Power BI, or D3.js.
• Familiarity with data manipulation libraries like Pandas and NumPy.
• Proficient in Microsoft Office (Excel, PowerPoint, Word).
• Strong analytical thinking and a structured problem-solving approach.
• Excellent communication and teamwork abilities.

Responsibilities

• Automation & Data Pipelines: Design and implement automation solutions for data ingestion, processing, and analysis using Python, SQL, and data pipeline frameworks.
• Advanced Analytics & Modeling: Apply statistical and machine learning techniques to analyze manufacturing datasets and support optimization.
• Data Visualization & Insights: Develop dashboards, reports, and visualizations to communicate insights and enable data-driven decisions.
• AI Research, Training & Validation: Support model training, testing, evaluation, and validation to ensure accuracy and reliability.

Skills

Python

SQL

R

Java

Analytical thinking

Communication

Teamwork

Education

Currently enrolled in CS/DS/AI degree

Tools

TensorFlow

PyTorch

Tableau

Power BI

D3.js

Pandas

NumPy

Job description

The student, as part of the digitalization team, and under the guidance of senior team members, will undertake projects related to digitalization and AI.

Your Role

Key responsibilities in your new role

• Automation & Data Pipelines: Design and implement automation solutions to streamline data ingestion, processing, and analysis using tools such as Python, SQL, and data pipeline frameworks.
• Advanced Analytics & Modeling: Apply statistical and machine learning techniques to analyze complex manufacturing datasets, identify trends, predict outcomes, and support process optimization under the guidance of senior team members.
• Data Visualization & Insights: Develop interactive dashboards, reports, and visualizations to communicate manufacturing insights and enable data-driven decision‑making and continuous improvement.
• AI Research, Training & Validation: Support the development of AI models and algorithms by contributing to model training, testing, evaluation, and validation to ensure accuracy, robustness, and reliability.

Internship Learning Outcomes

• Cross‑Functional Collaboration: Learn to work with cross‑functional teams to deliver data science and AI initiatives in a manufacturing environment.
• Analytics Skill Development: Strengthen practical skills in data analysis, modeling, and visualization through real‑world projects.
• AI Model Lifecycle Understanding: Build foundational understanding of AI model development, testing, evaluation, and validation processes.

Your Profile

Qualifications and Skills To Help You Succeed

• Education: Currently enrolled in a degree program in Computer Science, Data Science, Artificial Intelligence, or a related field.
• AI/ML Interest: Strong interest in artificial intelligence and machine learning applications.
• Programming Skills: Familiarity with programming languages such as Python and SQL; experience with R or Java is a plus.
• ML Framework Exposure: Basic understanding of machine learning frameworks (e.g., TensorFlow, PyTorch), data preprocessing, feature engineering, and model evaluation is advantageous.
• Data Visualization Tools: Experience with visualization tools such as Tableau, Power BI, or D3.js.
• Data Libraries: Familiarity with data manipulation and analysis libraries such as Pandas and NumPy.
• Productivity Tools: Proficient in Microsoft Office (Excel, PowerPoint, Word).
• Analytical & Problem‑Solving Skills: Strong analytical thinking with a structured approach to problem solving.
• Communication & Teamwork: Strong communication and interpersonal skills with the ability to work independently and collaboratively.
• Preferred Intake: Jan 27 – May/June 27.

Contact

Hillary Woo

We embrace diversity and inclusion and welcome everyone for who they are.

At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities.