Senior Data Scientist – AI & Agentic
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- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingAnalyze enterprise-wide business processes, subprocesses, and task-level activities to identify automation opportunities
Build and maintain end-to-end data pipelines to support AI and analytics workflows
Design and implement AI-driven strategies using GenAI and agentic systems to optimize operations
From the employer’s posting
Key Responsibilities 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
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
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
What you’ll bring
All qualificationsCore experience
- Strong experience in Machine Learning, NLP, and Generative AI
- Experience driving enterprise automation initiatives
- 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
Qualification wording
Strong experience in Machine Learning, NLP, and Generative AI
Experience driving enterprise automation initiatives
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
Tools in this posting
- Python
- SQL
- Azure
Source — Tool mentions in context
- 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
- Perform data analysis, validation, and optimization in production environments - Deploy AI solutions on cloud platforms (primarily Azure) Technical Skills
- Proficiency in Python, SQL, and data engineering tools - Hands-on experience with Azure or similar cloud platforms - Experience building data pipelines and analytics dashboards
Job description
Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.
We are seeking a highly skilled Senior Data Scientist with expertise in Generative AI, machine learning, and agentic systems to drive enterprise-wide automation and intelligent decision-making. This role combines deep technical capabilities with strategic thinking to identify, design, and implement scalable AI solutions across business operations.
Key Responsibilities
- 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)
Technical Skills
- 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
Blanc Labs is enabling a digital future. Headquartered in Toronto, we partner with clients in North & South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at www.blanclabs.com.
lanc Labs is an equal opportunity employer and is committed to providing employment in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on blanclabs.bamboohr.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
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- Location & working pattern
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- Status in our records
- Active
- First seen by us
- Jun 4, 2026
- Recorded sightings
- 49
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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