Data Scientist

📋 Description

• Evaluate and acquire new data assets
• Develop new product prototypes
• Provide sales support and consultancy
• Analyze, and document large datasets
• Apply machine learning, data mining, and text mining techniques to extract value from data
• Validate model and score performance

🎯 Requirements

• Proficiency in Python
• Understanding of data structures and their applications in marketing, risk, and customer management
• Familiarity with regression models, XGBoost, neural networks, SVM, and ensemble methods
• 3+ years of experience in defining scope and delivering customized analytics projects
• Expertise in advanced algorithms to solve practical business problems

🎁 Benefits

• Personal Development - career pathway for professional growth supported by learning and development
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and
• Social benefit package including food vouchers, health insurance, monthly flex allowance and
• Opportunity for Flexible working hours and Home Office