Opportunity brief
Volvo Group is hiring for the role of Graduate Apprentice Trainee – Data Science!
Responsibilities of the Candidate:
- Assist in collecting, cleaning, transforming, and validating data from different sources. - Prepare and analyze datasets using Python, SQL, and tools such as DataBricks. - Perform exploratory data analysis to identify patterns, trends, and useful insights. - Support the development and testing of basic analytical and Machine Learning models for forecasting, prediction, and classification. - Assist in building dashboards, reports, and visualizations using Power BI or similar tools. - Collaborate with Data Scientists and business teams to understand requirements and support data-driven solutions. - Document data sources, assumptions, analysis, and key findings. - Contribute to data-quality improvements and identify opportunities to apply Data Science, Machine Learning, and AI to business challenges. - Communicate findings clearly through reports, dashboards, and presentations.
Requirements:
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Analytical and Logical Thinking
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Problem Solving
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Attention to Detail
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Innovation and Curiosity
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Collaboration and Teamwork
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Continuous Learning
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Effective Communication
- Curiosity and willingness to learn new concepts and technologies. - Structured approach to problem-solving. - Attention to detail and commitment to data accuracy. - Good written and verbal communication skills. - Ability to explain technical findings in simple language. - Ability to work independently on assigned tasks with appropriate guidance. - Willingness to collaborate, receive feedback, and continuously improve. - Good time-management skills and a sense of responsibility. - Responsible handling of data and confidential information. - Bachelor's degree in Data Science, Computer Science, Engineering or a related field. - Basic understanding of statistics, probability and data analysis concepts. - Basic programming knowledge in Python. - Familiarity with SQL and fundamental database concepts. - Introductory understanding of Machine Learning and its applications. - Strong logical-thinking and problem-solving skills. - Willingness to learn new tools and technologies and apply analytical thinking to practical business problems.