Data Scientist developing transactional fraud detection models for Desjardins’ banking and debit payments. Deploying analytics, dashboards, and mitigation strategies to protect members and clients.
About the role
- Data Scientist 6-month contract at a top 5 bank. Hybrid role requiring 2-3 days in office per week, focusing on contact center/voice assistance data analysis.
Responsibilities
- Data Scientist role involving modeling and data analysis of contact center/voice assistance data sets. Responsibilities include data preprocessing, data mining, data profiling, modeling, cleansing, enriching, and ETL solutions, with attention to data privacy and security standards for sensitive customer data in generative AI applications.
Requirements
- Must Have Skills: • 5-8 years of experience with Python for data analysis, modeling, and scripting. • 5-8 years of experience with SQL for data manipulation and querying. • 2-5 years of experience in data preprocessing techniques, including data cleaning, transformation, and vectorization. • 2-5 years of experience in data mining, data profiling, modeling, cleansing, and enriching as well as extracting, transforming, loading (ETL) solutions. • 2-5 years of experience in data privacy and security standards, especially when handling sensitive customer data within generative AI applications. Nice-To-Have Skills: • Demonstrable experience or a strong theoretical understanding of Large Language Models (LLMs), including fine-tuning, prompt engineering, and an awareness of their current capabilities and limitations. • Familiarity with or understanding of Retrieval Augmented Generation (RAG) architectures and their implementation for grounded, factual AI responses. • Familiarity with Agentic AI frameworks (e.g., LangChain agents, AutoGen) or designing multi-step AI reasoning processes. • Familiarity with Google Cloud Platform (GCP) or other cloud computing environments.
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