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Your Main Accountabilities As Data Science Intern Will Be
- Compile and analyze experimental data from archived projects to be utilized in data science initiatives using our ELN software and scripts.
- Build, maintain, and optimize end-to-end data pipelines that acquire, ingest, and process data from multiple sources into the enterprise Generative AI Platform.
- Develop, prototype and test LLM-based architecture and agentic systems processing large-scale structured and unstructured datasets.
- Collaborate with a multidisciplinary team to translate domain-specific problems into computational solutions (e.g. retrieval, ranking, reasoning etc.) in the field of chemistry and material science.
- Assist in the automation of manual processes & dashboards.
- Participate in code reviews and agile development cycles.
- Document data processing scripts, data workflows and generate technical reports.
- Minimum Bachelor's degree or enrolled in a Master Program in computer science, applied mathematics, engineering or statistics.
- Strong programming skills in Python; JavaScript is a plus.
- Familiar with LLMs, vector databases and prompt engineering concepts.
- Familiar with cloud service platforms (e.g., Azure).
- Basic knowledge of web development frameworks and SQL.
- Basic knowledge of machine learning is a plus.
- Strong analytical thinking and problem-solving skills.
- Passion to learn and a collaborative mindset
- Fluent in English
Key Skills
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