Job Description

About the Voith Group

The Voith Group is a global technology company. With its broad portfolio of systems, products, services and digital applications, Voith sets standards in the markets of energy, paper, raw materials and transport & automotive. Founded in 1867, the company today has around 22,000 employees, sales of € 5.2 billion and locations in over 60 countries worldwide and is thus one of the larger family-owned companies in Europe.

Voith Paper is Hiring For:

Data Scientist Intern 
Data Scientist Intern

 

Interested to learn about Voith? Check out our video " Voith careers " on YouTube.

Reasons you’ll love working here: 

• Flexibility with Work/Life Balance 
• Competitive Compensation and Benefits Package 
• 401K with generous company match 
• Climate-Neutral Footprint Worldwide 
• Tuition reimbursement 

Summary:

We are seeking a highly analytical, self-driven Data Scientist Intern to support the design and development of innovative data-driven solutions across our organization. The ideal candidate will have a solid foundation in statistical modeling and machine learning, with hands-on experience using Python for data analysis and model development. This role will assist in building predictive models, developing scalable data pipelines, and conducting rigorous quantitative analysis to inform strategic decisions.

As a Data Scientist Intern, you will work closely with senior data scientists and cross-functional teams to explore datasets, prototype algorithms, and translate analytical findings into clear, actionable recommendations. The position is well-suited for someone who is intellectually curious, eager to learn advanced methods, and motivated to solve complex problems with data.

Responsibilities:

• Assist in developing machine learning models for forecasting, classification, optimization, and anomaly detection.
• Support the construction and maintenance of scalable data structures, including feature engineering and data cleaning workflows.
• Conduct exploratory data analysis and statistical evaluations to uncover patterns, trends, and opportunities for improvement.
• Implement prototype algorithms in Python using libraries such as pandas, NumPy, scikit-learn, and PyTorch.
• Collaborate with senior team members to evaluate model performance, tune hyperparameters, and document results.
• Communicate analytical findings through clear visualizations, dashboards, and technical summaries.
• Contribute to process optimization and continuous improvement initiatives across operations, finance, and engineering teams.

Required Skills/Abilities:

• Excellent verbal and written communication skills.
• Excellent organizational skills and attention to detail.
• Excellent time management skills with a proven ability to meet deadlines.
• Ability to function well in a high-paced environment.
• Familiarity with machine learning concepts, neural networks, and algorithm design.
• Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn; experience with PyTorch/TensorFlow is a plus)
• Strong analytical mindset with the ability to break down complex problems into structured steps.
• Exposure to financial modeling, predictive analytics, or time-series forecasting is a bonus.
• Ability to communicate technical results clearly and collaborate in a cross-functional environment.
• Self-motivated with a strong desire to learn and contribute to impactful real-world projects.

Education and Experience:

• Pursuing a Bachelor’s or Master’s Degree in Data Science, Computer Science, Statistics, Econometrics, Engineering, or a related quantitative field.
• Prior internship in Data Science, Software Engineering, or Data Engineering is a plus.
• Personal or academic projects demonstrating hands-on experience with Python, machine learning models, neural networks, or applied analytics are strongly preferred.

Physical Requirements (Office Example – modify as necessary):

• Prolonged periods sitting at a desk and working on a computer.

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