2022-2023 Campus Internship

At Dow, we believe in putting people first and we’re passionate about delivering integrity, respect and safety to our customers, our employees and the planet.

Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We’re a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you’re looking for a challenge and meaningful role, you’re in the right place.

About you and this role - What you would do in this role

**Responsibilities**:

- Retrieve data from various databases using SQL queries and ensure efficient data acquisition and integration.
- Clean, preprocess, and curate the data, handling missing values, outliers, and performing necessary transformations.
- Conduct exploratory data analysis to identify the most relevant variables for predicting mechanical properties.
- Implement feature engineering techniques, such as dimensionality reduction, feature selection, and creation of new features.
- Develop and train machine learning models using libraries like scikit-learn, TensorFlow, or Keras.
- Fine-tune hyperparameters of the models to optimize performance.
- Evaluate and analyze model results, interpret outputs, and present findings effectively.
- Collaborate with domain experts and team members to gather insights and improve model accuracy.
- Stay updated with the latest advancements in machine learning and contribute to the team's knowledge sharing initiatives.

**Qualifications**:

- Currently pursuing a Master's degree in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or any related field.
- Programming skills with Python, R or similar.
- Strong analytical and problem-solving abilities.
- Effective communication and teamwork skills.

Preferred Skills
- Strong foundation in machine learning algorithms, including regression, classification, and feature selection.
- Proficiency in SQL for data retrieval and manipulation from databases.
- Experience with data cleaning, preprocessing, and feature engineering techniques using Python or similar tools.
- Familiarity with machine learning libraries and frameworks such as scikit-learn, TensorFlow, or Keras.
- Knowledge of hyperparameter tuning techniques to optimize model performance.
- Basic understanding of statistics for result validation and interpretation.

Additional notes
- Duration of the internship will be 6 to 9 months (exact duration will be discussed based on the availability).

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As part of our dedication to the diversity of our workforce, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career. Further information regarding Dow's equal opportunities is available on

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