Position Code: BKKSC01
Organisation Description:
This company provides a single API that unifies verification methods, fraud tech, and trusted financial and identity data in Southeast Asia. They help Fintech and traditional finance businesses to overcome the challenge of data fragmentation in Southeast Asia. Their single API integrates advanced KYC verification methods, cutting-edge fraud technology and trusted financial and identity data to help onboard customers faster, more securely, and with greater confidence.
Role:
Data Scientist Intern
Internship Description:
As a Data Scientist Intern, you will work closely with our data science team to extract valuable insights from data, build predictive models, and contribute to the development of innovative solutions. This internship is designed to provide you with practical experience in data analysis, machine learning, and AI, all while addressing real-world challenges in the SAAS and eKYC industries.
- Data Analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights and identify trends relevant to SAAS and eKYC businesses
- Machine Learning: Assist in the development and implementation of machine learning algorithms and models for tasks such as fraud detection, identity verification, and customer profiling
- Data Visualization: Create visually compelling data visualizations and dashboards to communicate findings and insights effectively
- Model Evaluation: Evaluate model performance through rigorous testing and validation, making improvements as necessary
- Collaboration: Collaborate with cross-functional teams, including engineers, product managers, and data engineers, to integrate data science solutions into SAAS and eKYC products
- Research: Stay updated on the latest advancements in data science, machine learning, and AI to contribute innovative ideas to ongoing projects
- Documentation: Maintain clear and organized documentation of data analysis processes, model development, and results
Internship Requirements:
- Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field
- Strong analytical and problem-solving skills
- Familiarity with data analysis tools such as Python and SQL
- Able to research and find the solution
- Basic understanding of machine learning concepts
- Excellent communication and teamwork skills
- Attention to detail and a passion for working with data
Don’t exactly match these requirements? If you have the enthusiasm and want to learn – then speak to Pagoda about this position and we’ll see what is possible!
