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Internship - Artificial Intelligence and Machine Learning (Finance)

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Employment
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Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • Design, implement and scale ML solutions for finance cost forecasting and controlling

  • Add features such as vertical forecasting, simulations and causal AI analytics

  • Support global deployment and optimize user interfaces on the HICP cloud platform

  • Contribute to automation and dashboard development projects

  • Research AI models and algorithms for complex business challenges

From the employer’s posting
Design, implement, and scale machine learning solutions for Finance Cost Forecasting and Controlling
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
Contribute to automation and dashboard development projects as needed.
Conduct research on AI models and algorithms to identify effective approaches for solving complex business challenges.
Education & alternatives
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

Tools in this posting

  • Python
Source — Tool mentions in context
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

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Open 3 monthsWe first saw this posting 113 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

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First seen by us
Jul 9, 2026 · 113 days ago
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224
Last seen by us
Oct 31, 2026
Employer says posted
Jun 26, 2026

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Job description

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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 In your new role you will: * 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 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 #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. This means 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. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon.
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