Internship - Artificial Intelligence and Machine Learning (Finance)

Infineon Technologies AG; Singapore; On-site; SGD 22,320 - 33,480; Full time

Job summary

Infineon Technologies AG in Singapore is looking for an intern in the Finance Business Partner & Development section. The role offers hands-on experience in AI/ML and digitalization initiatives within finance.

Interns will work on ML solution design, algorithm research, and global deployment of automated tools, gaining exposure to the intricate world of semiconductor finance.

Applicants should possess a Bachelor’s degree and skills in data science and machine learning.

Qualifications

• Bachelor’s degree with knowledge in Data Science, AI, ML, Business Analytics, Mathematics, Statistics.
• High level of integrity and maturity, self-motivated and a team player.

Responsibilities

• Design and implement ML solutions for Finance Cost Forecasting.
• Support global deployment of ML solutions and optimize user interfaces.
• Research AI models and algorithms for solving financial challenges.
• Collaborate with global stakeholders in automation and data science.

Skills

Data Science knowledge

Machine Learning proficiency

Communication skills

Problem-solving skills

Education

Bachelor’s degree in relevant field

Tools

Python programming

Business analytics tools

Job description

As an intern in the Finance Business Partner & Development (BPD) section within the Finance Controlling department, you will have the opportunity to contribute to cutting‑edge digitalization initiatives, including AI/ML, automation, and other transformative projects. This role offers hands‑on experience with advanced digital technologies while providing valuable exposure to complex semiconductor finance and controlling processes. It’s a unique chance to develop both technical and business expertise in a dynamic, high‑tech environment.

Job Description

• ML Solution Design & Implementation: Design, implement, and scale machine learning solutions for Finance Cost Forecasting and Controlling, leveraging time‑series statistical and ML models to deliver accurate predictions.
• Advanced Feature Development: Enhance existing ML solutions by incorporating advanced features such as vertical forecasting, simulations, and causal AI analytics.
• Global Deployment & Platform Optimization: Support global deployment of ML solutions while optimizing user interfaces on the HICP cloud platform for seamless user experience.
• End‑to‑End Model Lifecycle Management: Participate in the full lifecycle of AI/ML model development and implementation, depending on project stage and requirements.
• Innovation & Experimentation: Explore and experiment with AI/ML and digitalization use cases using finance datasets across multiple platforms to drive innovation and impactful outcomes.
• AI & Algorithm Research: Conduct research on AI models and algorithms to identify effective approaches for solving complex business challenges.
• Automation & Dashboard Support: Contribute to automation and dashboard development projects as needed.
• Cross‑Functional Collaboration: Collaborate with IT teams and global stakeholders on standard automation tools and specialized data science topics, fostering knowledge sharing and alignment.
• Community Engagement: Engage in digitalization and innovation initiatives, as well as departmental activities, to stay informed on industry trends and promote a collaborative culture.

Internship Learning Outcomes

• Practical AI/ML & Digitalization Experience: Gain valuable exposure and hands‑on experience in digitalization, AI/ML solutions, business analytics, and automation initiatives/projects within the Finance department, allowing for the application of academic knowledge to real‑life situations.
• Semiconductor Industry Knowledge: Gain insight into various semiconductor controlling processes and understand their importance.
• Gain exposure in collaboration: Collaborate and communicate with Finance Domain Experts, Technical Experts, and like‑minded team members who are enthusiastic about digital transformation, providing valuable exposure to diverse perspectives.
• Presentation & Communication: Enhance presentation skills through the opportunity to present project works to various stakeholders, gaining valuable experience.

Your profile

• Educational Background: Bachelor’s degree with sound knowledge on Data Science, Artificial Intelligence, Machine Learning, Business Analytic, Mathematics, and statistics.
• Personal Attributes: Meticulous & Inquisitive in nature.
• Professional Ethics: High level of professional integrity and maturity, self‑motivated personnel and a team player with the ability to work independently.
• Core Competencies: Proficient in communication, AI algorithm and Analytic Model research, and problem‑solving skills.
• Adaptability: Resourceful in finding solutions or knowledge on new tools.
• Technical Expertise: Knowledge on data science, business analytics techniques, tools and context, data analysis and AI/ML model and algorithm, python coding.

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.