Internship - Artificial Intelligence and Machine Learning Finance

About This Role

This internship offers a unique opportunity to contribute to cutting-edge digitalization initiatives, including AI/ML and automation, within the Finance Controlling department. The role provides hands-on experience with advanced digital technologies and valuable exposure to complex semiconductor finance and controlling processes, allowing interns to develop both technical and business expertise in a dynamic, high-tech environment.

Responsibilities

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

Requirements

• Bachelor’s degree with sound knowledge on Data Science, Artificial Intelligence, Machine Learning, Business Analytic, Mathematics, and statistics
• Meticulous and inquisitive nature
• High level of professional integrity and maturity
• Self-motivated and a team player with the ability to work independently
• Proficient in communication, AI algorithm and Analytic Model research, and problem-solving skills
• Resourceful in finding solutions or knowledge on new tools
• Knowledge on data science, business analytics techniques, tools and context, data analysis and AI/ML model and algorithm, python coding

Internship Learning Outcomes

• 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
• Gain insight into various semiconductor controlling processes and understand their importance