Senior Data Scientist – AI, Agentic

🕒 May 29

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Logo of Blanc Labs

Blanc Labs

51 - 200 employees

🤝 B2B

💸 Finance

☁️ SaaS

💰 Venture Round on 2016-12

B2B • Finance • SaaS

Blanc Labs is a full-service technology consulting firm focused on helping clients realize their full potential through the creative use of technology. They specialize in digital transformation, technology strategy and implementation, API management, AI, analytics, and automation. Their services include systems integration and business process improvement, especially in the financial services and healthcare sectors. Blanc Labs partners with industry leaders to enable innovative customer experiences and achieve measurable business outcomes, with a strong presence in the Canadian market.

📋 Description

• Analyze enterprise-wide business processes, subprocesses, and task-level activities to identify automation opportunities • Design and implement AI-driven strategies using GenAI and agentic systems to optimize operations • Develop architecture mappings and frameworks for scalable, intelligent automation across domains such as procurement, inventory, and operations • Translate business needs into actionable AI solutions aligned with organizational goals • Design, build, and deploy machine learning and NLP models for real-world business applications • Develop GPT-based solutions, including: Text generation and summarization, Contextual search and embeddings, Multilingual translation systems • Continuously improve model performance, scalability, and accuracy • Build and maintain end-to-end data pipelines to support AI and analytics workflows • Develop dashboards and reporting tools for real-time monitoring and decision-making • Perform data analysis, validation, and optimization in production environments • Deploy AI solutions on cloud platforms (primarily Azure)

🎯 Requirements

• Strong experience in Machine Learning, NLP, and Generative AI • Experience with GPT models, embeddings, and LLM-based architectures • Proficiency in Python, SQL, and data engineering tools • Hands-on experience with Azure or similar cloud platforms • Experience building data pipelines and analytics dashboards • Ability to map business processes to AI-driven solutions • Strong analytical and problem-solving capabilities • Experience driving enterprise automation initiatives.

🏖️ Benefits

• Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.

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