About Ededge
Ededge nurtures young people's potential and empowers them to explore technology and other high-growth fields. It provides training in specific fields alongside industry experience and conducts webinars featuring accomplished leaders.
Responsibilities
•Gather, refine, and analyze extensive datasets with the data science team
•Apply machine learning and data mining methods to derive insights from large datasets, including identifying Excel interface structures
•Use Python for exploratory data analysis in practical business contexts, focusing on risk analytics in banking and finance
•Develop scientific tests and optimize model performance using modeling technologies such as no-code databases and data mining
•Collaborate with a multidisciplinary team to build machine learning pipelines for commerce, finance, and procurement applications
•Engage with internal stakeholders to understand business data, develop hypotheses, and evaluate strategies using techniques such as T-tests
•Address challenges and devise solutions using modeling technologies such as bike share systems
•Apply advanced analytical techniques using tools such as Tableau
•Create reports and presentations to communicate data analysis methodologies and findings
Requirements
•Strong problem-solving and critical-thinking abilities
•Currently pursuing a degree and committed to continuous learning and professional growth
•Excellent communication and teamwork skills
•Ability to work independently and remotely
Conditions
•Unpaid internship
•Internship
•Located in the European Union
