An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Get past ATS filters
Job summary
A leading global insurance company in Kuala Lumpur is looking for an experienced data scientist to deliver impactful insights and manage data-driven projects. The ideal candidate should have a strong background in generative AI, pattern recognition, and a proven ability to work within dynamic teams. Responsibilities include collaborating with design and engineering teams, researching innovative analytics models, and utilizing advanced AI technologies. This full-time role promises a diverse environment and growth opportunities within the company.
Qualifications
Five or more years of experience in data science or proven experience.
Advanced experience in pattern recognition, predictive modeling, and generative AI.
Hands-on experience with LLM frameworks like Hugging Face Transformers.
Responsibilities
Collaborate with product design and engineering teams.
Identify and integrate new datasets.
Execute analytical experiments across various domains.
Analyze data for trends and patterns.
Skills
Pattern recognition
Predictive modeling
Generative AI (LLMs, transformers)
Data mining
Mathematics
Communication and presentation skills
Problem-solving aptitude
Analytical thinking
Education
BSc/BA in Computer Science, Engineering, or relevant field
Graduate degree in Data Science or another quantitative field
Tools
Azure Machine Learning
Hugging Face Transformers
Power BI
R
SQL
Python
Job description
A leading global insurance company in Kuala Lumpur is looking for an experienced data scientist to deliver impactful insights and manage data-driven projects. The ideal candidate should have a strong background in generative AI, pattern recognition, and a proven ability to work within dynamic teams. Responsibilities include collaborating with design and engineering teams, researching innovative analytics models, and utilizing advanced AI technologies. This full-time role promises a diverse environment and growth opportunities within the company.