Internship - Artificial Intelligence and Machine Learning (Finance)

The student, as part of the Finance Development (FD) section within the Finance Controlling department, he/she will have the opportunity to engage in AI/ML, automation, and other digitalization project activities, particularly focusing on digitalization (AI/ML) projects. In addition, he/she will gain valuable exposure to complex semiconductor finance and controlling processes, offering a unique opportunity to work in a diverse and inclusive environment.

In your new role you will:

- **Develop, implement, and scale machine learning solutions focused on Finance Cost Forecasting**by leveraging time-series statistical and machine learning models to drive accurate predictions. Additionally, enhance the solution by incorporating vertical forecasting, simulations, and causal AI analytics.
- **Participate in the full lifecycle of AI/ML model solutions**, including evaluation, optimization, refinement, and the maintenance of high-performance outcomes.
- **Support the global scale-up of machine learning solutions**while maintaining and enhancing user interfaces on the HICP cloud platform for seamless interaction.
- **Explore and experiment with various AI/ML and digitalization**using finance datasets across multiple digital platforms to foster innovation and drive impactful solutions.
- **Conduct research on AI models and algorithms**to identify effective solutions for complex business problems.
- Work on automation and dashboarding projects.
- **Collaborate with IT teams, and local and global stakeholders**to work on standard automation tools and specific data science topics, fostering communication and knowledge sharing.
- **Engage in digitalization and innovation events, along with departmental activities**, to stay updated on industry trends and contribute to a culture of collaboration.

**Internship Learning Outcomes**:

- **Gain insight into various semiconductor controlling processes and understand their importance**.
- 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.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:

- On track to attaining Bachelor’s degree with sound knowledge on Data Science, Artificial Intelligence, Machine Learning, Business Analytic, Mathematic and statistics.
- Meticulous & Inquisitive in nature.
- High level of professional integrity and maturity
- Self-motivated personnel 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 solution or knowledge on new tools - Data Science skills: - Knowledge on data science, business analytics techniques, tool and context.
- Knowledge on data analysis and AI/ML model and algorithm.Knowledge on python coding.

**#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.