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Build and deploy AI models (LLMs, agentic AI) using Azure to extract insights from insurance data, collaborating with engineering teams to create data products that power smarter business decisions.
Design and build ML models for banking AI solutions, experiment rapidly, and collaborate with teams to deliver data-driven innovations.
Design and deploy backend services integrating Generative AI, RAG, and intelligent agents to automate workflows and transform data into actionable insights for real-world products.
Data science intern analyzes user-product interactions, builds dashboards, and prototypes ML models to improve MoneyLion’s fintech app and embedded finance platform.
Build and deploy ML models for fintech and cybersecurity products, owning the full lifecycle from data exploration to production deployment and monitoring.
Build and deploy production-grade AI models for clients, including credit risk, fraud detection, and generative AI solutions using Python, ML frameworks, and cloud MLOps.
Build and deploy ML models using PyTorch to create end-to-end analytics solutions, mentor junior team members, and collaborate with cross-functional teams in a product-focused AI company.
Lead a data-science team to deliver consumer-behavior insights for CPG/FMCG clients using advanced analytics, Python/R, and visualization tools.
Design and implement ML models and ETL pipelines to solve business problems, collaborating with engineering and product teams in Malaysia.
Lead AI/ML projects for CelcomDigi’s telecom business, building scalable analytics and models to drive strategic decisions in the Consumer unit.
Build and deploy AI/ML models, RAG pipelines, and Generative AI solutions for clients in banking and healthcare using Python, LLMs, and enterprise platforms like Azure ML and Databricks.
Build and deploy ML models and experiments to optimize MoneyLion’s fintech products, from fraud detection to credit underwriting, using Python, SQL and A/B testing.
Build and deploy production-grade deep learning models using PyTorch and LLMs to solve Extreme Multilabel Classification problems for retail analytics.
Lead a data-science team to build predictive models and analytics solutions using Python, scikit-learn, TensorFlow, and Airflow for a large tech organization in Kuala Lumpur.
Build AI-driven analytics and experiments to optimize fintech products, partnering with teams to increase revenue and reduce costs.
Build and refine demand-forecasting models to optimize airport capacity and operational planning using advanced analytics and cutting-edge tools.
Description The creative problem-solvers in Liberty Mutual’s USRM Data Science group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward…
Lead data strategy for Canva’s China, Japan, South Korea, and India markets, shaping growth metrics, experimentation frameworks, and localisation decisions using SQL, Python, and Rust.
Leads a 2-person team building ML models and GenAI agents for bank-card distribution logistics, optimizing delivery routes and customer interactions in a large Russian bank.
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