Senior Data Scientist
Silent Eight
BigQueryDockerLinuxPySparkPythonSQL
Data Scientist – Risk Management
Binance
internship
Posted on:
Location Type: Remote
Location: Remote • 🇸🇬 Singapore
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Develop and evaluate AI models for KYC fraud detection, especially in face verification and document forgery use cases.
- Explore and prototype LLM-based solutions to automate case review, generate rule-based explanations, and assist in fraud pattern mining.
- Utilise our petabyte-scale data warehouse to conduct in-depth analyses aimed at delivering personalised services and enabling automated detection of abnormal user behavior.
- Collaborate with data scientists and engineers to optimize detection pipelines and provide actionable insights to stakeholders.
Requirements
- Able to commit for at least 6-12 months.
- Currently enrolled as a full-time undergraduate or graduate student.
- Hands-on experience in developing image analysis and video analysis models.
- Strong grasp of AI concepts and mathematical foundations, including deep learning, generative AI, reinforcement learning, prompt engineering and optimisation techniques.
- Proficiency in programming languages such as Python, SQL is preferred.
Benefits
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI modelsKYC fraud detectionface verificationdocument forgeryLLM-based solutionsimage analysisvideo analysisdeep learninggenerative AIreinforcement learning
Soft skills
collaborationcommunicationanalytical thinkingproblem-solving