Data Scientist Intern: 2025

Automation: Develop and maintainPythonscripting solutions to automate data collection, processing, and analysis tasks, enhancing efficiency and accuracy.
Data Science:Collaborate with teams to construct usable data sets from various structured and unstructured sources, enabling data-driven decision-making.
Software Development:Contribute to software development projects, utilizing your strong fundamentals in computer science to design and implement solutions for complex technical challenges.
Problem-Solving: Approach technical issues creatively, employing debugging and troubleshooting skills to identify and resolve problems effectively.
Communication: Work collaboratively within a team, demonstrating excellent verbal and written communication skills to convey technical concepts and solutions clearly.
Applying data engineering techniques to gather, prepare, cleanse, and transform data for analysis, automation, and AI.
Data Modelling: Apply basic understanding or experience with predictive/prescriptive modelling techniques to derive insights from data.
Agile Development: Embrace Agile Development Methodologies and Design Thinking principles to drive innovation and streamline project delivery.
Cloud Integration: Develop a basic understanding of cloud platforms such as AWS, Azure, etc., and explore opportunities to leverage cloud services for analytics and data processing