Internship - Strategy M&A Infineon Asia Pacific at Infineon Technologies AG Australia

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

0.0

Posted On

09 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Market Research, Business Intelligence, Data Analysis, Machine Learning, Predictive Analytics, Project Management, Quantitative Data, Data Solutions, Stakeholder Interaction, Excel, PowerPoint, Neural Networks, Decision Trees, Support Vector Machines, Data Gathering, Correlations, Strategic Business Outcomes

Industry

Semiconductor Manufacturing

Description

As an integral part of Infineon’s global corporate strategy, we at the Strategy and Market Development team are keenly focused on the fast-paced Asian markets, and are actively developing Infineon’s presence in the key growth markets. We are looking for dynamic and highly motivated interns to support our market / business intelligence research and strategy development activities. Job Description In your new role you will: Undertake responsibilities that involve a blend of desk and field research Collect, clean and analyze quantitative data to develop critical insights and pragmatic data solutions and you'll source, scrub and join relevant public, commercial, and proprietary data sources Apply your deep technical knowledge of machine learning to identify insights and patterns using traditional as well as predictive and prescriptive analytics Design and create advanced predictive models such as support vector machines, neural networks, decision trees, etc., to allow more informed business decision Internship Learning Outcomes: The internship provides an unique opportunity to gain deep insights into the strategy function of a DAX-30 multinational company, with specific learning related to the various Asia Pacific market segments for semiconductors and electronics. By the end of the internship, candidates will have worked on a variety of projects, gaining hands-on experience in several areas: Project management, working with team members across various locations and functions Exposure to business intelligence research and data gathering through online and offline sources, including desk research and interactions with various stakeholders Exposure to Data analysis and correlation with operational and strategic business outcomes Your Profile You are best equipped for this task if you have: Bachelor’s / Master’s degree student in Business Administration, IT / Computer Science & Computer Engineering, Economics, Electrical & Electronic Engineering, Industrial Engineering Proficiency in MS Excel and MS PowerPoint Strong analytical skills Able to work independently and proactively Able to commit for 6 months. Candidates with shorter availability period are welcome to apply #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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Responsibilities

Interns will conduct a mix of desk and field research, collecting and analyzing quantitative data to derive insights. They will also apply machine learning techniques to develop predictive models for informed business decisions.