Are you a bright, analytical mind eager to dive deep into data and uncover insights that drive strategic decisions? Do you have a passion for data science and want to apply your skills in a real-world consulting environment?

We are looking for a curious and driven Data Science Intern to join our dynamic team. This is an exceptional opportunity for you to apply your data science knowledge to retrieve, organize, analyze, and visualize data, directly supporting our consulting work. You will play a key role in testing hypotheses, uncovering relationships (correlations, drivers, patterns), and feeding forecasting models, making a tangible impact on our projects.

If you enjoy analysis, experimentation, and communicating findings, this internship is designed for you to grow your skills and contribute to meaningful work.

What You'll Do & Learn (Key Responsibilities & Learning Opportunities):

• Data Wrangling & Retrieval: Master the art of extracting and preparing data from various sources (files, databases, APIs, internal systems). You'll learn to clean, transform, and structure complex datasets for robust analysis.
• Exploratory Data Analysis: Conduct in-depth exploratory analysis to identify patterns, correlations, seasonality, and anomalies. You'll develop your ability to summarize and present your findings clearly and concisely.
• Hypothesis Testing & Experimentation: Propose and execute rigorous statistical tests, applying sound statistical reasoning to prove or reject hypotheses. You'll gain hands-on experience with statistical testing (t-test/ANOVA) and classification models, learning to interpret results and articulate limitations.
• Dashboarding & Storytelling: Create impactful dashboards and compelling visualizations to communicate complex data insights to teammates and stakeholders, honing your data storytelling abilities.
• Collaborative Impact: Work closely with experienced professionals, contributing your analytical skills to solve real business challenges and influence strategic recommendations.

What We're Looking For (Requirements):

• Technical Proficiency:
• Solid command of Python for data analysis (e.g., Pandas, NumPy, Scikit-learn).
• Experience with a dashboarding tool such as Power BI or Tableau (or an equivalent).
• Statistical Foundation: Strong fundamentals in statistics and experimental thinking, including:
• Understanding of hypothesis testing, confidence intervals, and p-values.
• Familiarity with statistical testing (t-test/ANOVA) and classification models.
• Ability to interpret results critically and identify limitations or assumptions.
• Language Skills: Fluent English (written and spoken) for daily collaboration within our international team.
• Team-Ready Habits:
• Excellent communication skills, with the ability to articulate complex ideas clearly.
• Proactive in asking insightful questions and seeking clarification.
• Diligence in documenting your work for clarity and reproducibility.
• Education: Currently enrolled student from 4th semester onward in: Engineering, Applied Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.

Who Should Apply:

This role is ideal for students who are passionate about data, enjoy analytical challenges, thrive on experimentation, and are eager to communicate their findings to a broader audience. If you're looking for an internship where you can make a real impact and grow your data science career, we encourage you to apply!

Why Join Our Team?

• Real-World Impact: Contribute to consulting projects that shape business strategies.
• Mentorship & Growth: Learn from experienced data scientists and consultants in a supportive environment.
• Skill Development: Enhance your technical, analytical, and communication skills with practical application.
• Collaborative Culture: Be part of a team that values curiosity, innovation, and teamwork.
• Future Opportunities: Build a strong foundation for a career in data science or consulting.

How to Apply:

To apply for this exciting opportunity, please submit the following:

• Your CV (1 page preferred)
• A short note (5-8 lines) detailing:
• Your current semester and major.
• Your motivation for this internship and what you hope to achieve.

Siemens is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by law.