Senior Data Scientist Gen AI

Our Canadian Advanced Analytics (AA) team is seeking a highly skilled and motivated Data Scientist with a strong emphasis on Generative AI and Large Language Models (LLM). This role requires a unique blend of technical expertise and business insight to transition from promising hypotheses and ML experiments to fully‑fledged AI/ML products with real‑world impact. As a specialist in Generative AI techniques, you will work with innovative closed and open‑source Gen AI models, apply standard methodologies in prompt engineering, RAG applications, and fine‑tune LLM models to drive business outcomes.

• Develop and implement machine learning models, focusing on Generative AI techniques and LLM, to solve sophisticated business problems, using a variety of algorithms and techniques.
• Streamline Generative AI model development and deployment using Azure infrastructure and capabilities like cognitive search and Vectordb, and frameworks such as Langchain, Semantic Kernel, and Autogen.
• Apply prompt engineering techniques, work with RAG applications, and fine‑tune language models to improve their performance in specific tasks.
• Collaborate with multi‑functional teams to plan, scope, implement, and sustain predictive analytics solutions.
• Design and complete experiments to validate and optimize machine learning models, ensuring accuracy, efficiency, and scalability.
• Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration, scalability, and cost‑effectiveness.
• Develop measurements and feedback systems, and mentor associates and peers on MLOps & LLMOps standard methodologies.
• Stay up‑to‑date with the latest advancements in machine learning, generative AI, prompt engineering, RAG applications, and cloud technologies, and apply them to enhance our data science capabilities.

• Working with the AVP of Advanced Analytics, the Data Scientist will focus on various high‑visibility Generative projects such as health analytics and modernized operations.

• You obsess about customers, listen, engage and act for their benefit.
• You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
• You thrive in teams and enjoy getting things done together.
• You take ownership and build solutions, focusing on what matters.
• You do what is right, work with integrity and speak up.
• You share your humanity, helping us build a diverse and inclusive work environment for everyone.

• Hands‑on experience with Gen AI‑related tech stack, including Azure cognitive search, Langchain, Semantic Kernel, and agent frameworks like Autogen, Vectordb. Experience in fine‑tuning open‑source models like Llama, Phi2 is a bonus.
• Proven experience as a Data Scientist, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.
• Strong partner management, ability to translate sophisticated technical topics into business language, presentation skills, and an ability to balance a sense of urgency with shipping high‑quality and pragmatic solutions.
• Strong software development skills with proficiency in Python and advanced working SQL knowledge, preferably using the Azure stack and experience with Azure ML, Databricks, Azure Data Factory.
• Experience in product ionizing code through the Dev Ops pipeline (git, Jenkins pipeline, code scan).
• Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
• Over 4 years of experience with large‑scale systems in data science/software engineering.
• Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field.

• A competitive salary and benefits packages.
• A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
• A focus on growing your career path with us.
• Flexible work policies and strong work‑life balance.
• Professional development and leadership opportunities.

• Values‑first culture:
  We lead with our Values every day and bring them to life together.
• Boundless…