Internship - Artificial Intelligence and Machine Learning (Finance)

Infineon Technologies; Singapore; On-site; SGD 11,160 - 27,900; Full time

Job summary

Infineon Technologies in Singapore is offering a unique internship opportunity in the Finance Business Partner & Development section, where you will contribute to advanced digitalization initiatives involving AI and machine learning. This role provides hands-on experience while gaining insights into complex semiconductor finance processes.

The ideal candidate should have a bachelor's degree related to Data Science, machine learning, and business analytics. Strong communication and problem-solving skills are essential, along with the ability to work both independently and collaboratively.

Qualifications

• Bachelor’s degree with sound knowledge of Data Science, Artificial Intelligence, and Machine Learning.
• Meticulous & inquisitive nature.
• High level of professional integrity and maturity.

Responsibilities

• Design, implement, and scale machine learning solutions for Finance.
• Support global deployment of ML solutions and optimize user interfaces.
• Collaborate with IT teams and stakeholders on automation tools.

Skills

Data Science

Machine Learning

Business Analytics

Python Coding

Problem Solving

Education

Bachelor's degree in Data Science or related fields

Job description

Overview

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.
• Exposure to 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

You are best equipped for this task if you have:

• Educational Background: Bachelor’s degree with sound knowledge on Data Science, Artificial Intelligence, Machine Learning, Business Analytic, Mathematic 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 solution or knowledge on new tools.
• Technical Expertise: Knowledge on data science, business analytics techniques, tool and context, data analysis and AI/ML model and algorithm, python coding.
• Preferred Internship Period: Jan 27 - Jun 27

Contact

Hillary Woo