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Senior Data Scientist builds and leads AI/ML models and analyses to solve complex business problems using Python, Databricks, and LLM workflows, translating data insights into actionable strategies.
Designs and builds scalable market-data pipelines and APIs for trading, pricing, and risk systems using Python, Spark, Kafka, Databricks, and Snowflake.
Build and deploy AI models for healthcare, using ML, NLP, and LLMs on clinical data to drive data-driven innovations and scalable tools.
Builds and maintains scalable ETL pipelines and data warehouses to power analytics for EA’s user-generated content platform, using Python, SQL, Airflow, and cloud platforms.
Data Engineer in Munich Re’s Life & Health Reinsurance team builds and maintains actuarial models for IFRS 17, LICAT, and Solvency II reporting, using tools like AXIS, SQL, and Excel to support valuation and financial analysis.
Build and optimize ETL/ELT pipelines using AWS and Snowflake to support analytics and governance in a wealth-tech environment.
Builds and deploys generative AI models on GCP Vertex AI, designs scalable data pipelines, and collaborates on end-to-end AI product development using Python and MLOps.
Senior Data Engineer builds and optimizes Azure-based data pipelines for analytics, mentors teams, and designs scalable solutions to meet business needs in a large financial services company.
Lead the design and development of Azure-based data pipelines and warehouses for Manulife’s wealth and asset management systems, using PySpark, Synapse, and ETL processes.
Build and deploy AI/ML models, focusing on language technologies like NLP and dialogue systems using Python, PyTorch, and Hugging Face frameworks.
Build and scale AI/ML systems for banking, including LLM apps, RAG pipelines, and agentic workflows, while ensuring secure, high-quality data pipelines and MLOps automation.
Leads Azure-based data engineering and BI systems, building data warehouses and ensuring compliance with SQL, Python, and project management skills.
Develop 3D machine-vision inspection applications using C/C++ and libraries like OpenCV/PCL, turning customer requirements into high-performance tools for industrial automation.
Build and maintain scalable data pipelines and warehouses for Frostbite’s quality-engineering telemetry, enabling ML and engineering teams to analyze game-creation data efficiently.
Build and optimize data pipelines using Snowflake, Databricks, Python, and SQL to deliver scalable analytics solutions for financial clients.
Build and maintain cloud data pipelines using SQL, Python, and AWS services like Glue and Redshift to deliver reliable data solutions for clients.
Build and maintain cloud-based data platforms for trading workflows, modeling financial data and ensuring high-quality analytics for traders and investment teams.
Builds and optimizes large-scale data pipelines using Java and Apache Spark, leading a team to process and analyze big data efficiently.
Data Engineer builds and maintains AML/regulatory data pipelines using SQL, designs data quality rules, and documents lineage for a major bank.
Build and optimize real-time and batch data pipelines for a fintech platform handling billions of events daily, using Spark, Kafka, and streaming frameworks to power fraud detection and AI products.
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