Data Sceintist

Responsibilities:

• Develop and implement statistical models, algorithms, and machine learning / deep learning techniques for fraud prevention and credit underwriting for the FinTech / Banking partners.
• Analyse large-scale datasets to identify patterns, anomalies, and trends to capture the user behaviour, including fraud, affluence, and credit risk.
• Stay up to date on the latest fraud trends and technologies to proactively identify vulnerabilities and enhance fraud prevention strategies.
• Design experiments to evaluate and optimise the performance of existing AI models and algorithms.
• Own the end-to-end data pipeline, including data analysis, data processing, building the AI models, and monitoring of already deployed models.

Requirements:

• Bachelor's degree or higher in Applied Mathematics, Statistics, Computer Science, or a related field.
• 5+ years of experience in Data Science and working in fintech startups or financial services-based companies is preferred.
• Strong expertise in different AI verticals, including machine learning, statistical methods, deep learning, computer vision, and NLP.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Skills

AI, ML, data science, data scientist, deep learning, machine learning