Data Science Intern at Arcadis helping develop data-driven solutions and optimize machine learning models. Collaborating with engineers and product teams to turn data into insights and models.
Responsibilities
Help develop and optimize data-driven solutions, build machine learning models, and deploy them to production.
Perform exploratory data analysis to identify patterns, trends, and anomalies.
Design, implement, and train machine learning models for predictive and classification tasks.
Collaborate with data engineers and machine learning engineers to integrate models into production environments.
Work closely with product teams to understand business requirements and translate them into technical solutions.
Document processes, models, and findings clearly for both technical and non-technical audiences.
Requirements
Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Strong interest in data science and AI, with a willingness to explore emerging tools and technologies.
Eagerness to learn and adapt quickly in a fast-evolving AI landscape.
Basic understanding of machine learning concepts and data science fundamentals (e.g., data preprocessing, model basics, evaluation metrics).
Familiarity with Python and common data science libraries.
Ability to work collaboratively and share learnings with the team.
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