Senior Data Scientist

Job description

About Jewel Paymentech

We're a Financial Technology startup which focuses on developing intelligent solutions to mitigate fraud and other risks for the banking and financial industry. We were also named as one of the most promising FinTech startups in Asia by SWIFT.


  • Analyze requirements and deliver solution that meets the requirements
  • Write code by using best software development practices, for ex. PEP8, Jewel Developer Best Practices
  • Write clear & concise documentation for solutions/code
  • Produce code that meets security standards as per Jewel policy (Pay-ology, OWASP, PCI-DSS, etc.)
  • Estimate timelines and deliver solutions within agreed timeline
  • Continuously improve knowledge on new technologies
  • Work with Products, Business, Engineering, Platform and Devops teams for end-to-end development of AI solutions
  • Train junior data scientists and interns


  • BSc or MSc in Computer Science, Engineering, Artificial Intelligence, Mathematics, or any related quantitative discipline. Equivalent experience will also be considered.
  • 5 or more years of relevant work experience
  • Strong experience and solid basic of Python, Flask, Django, Celery
  • Proficiency in database engineering and design, for both SQL and NoSQL databases
  • Proficient in Scikit-learn, scipy, pandas, matplotlib
  • Proficient in machine learning methodologies such as classifiers, clustering methods, topic models, word embedding, anomaly detection algorithms, graph-based algorithms
  • Knowledge in deep learning methodologies such as Autoencoder, neural networks, convolutional neural networks, recurrent neural networks, transformer models (such as BERT)
  • Having knowledge in the following is a PLUS: Apache, Nginx, AWS, Alicloud, Microservices, Distributed Computing Concepts
  • Good knowledge in HTML5, CSS, Javascript
  • Additional advantage with proficiency in natural language processing

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