Senior Data Scientist - Tax, Technology and Transformation

Responsibilities

Design, develop, and implement generative AI solutions to solveplex business problems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Build and maintain production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices. Manage version control using Git and collaborate with team members on code development.

To Qualify for the Role, You Must Have

As a Senior Data Scientist, you should have strongmercial development experience in developing and deploying LLM-based applications. Strong understanding of AI/ML algorithms, data science, and machine learning.

Demonstrated proficiency in: Rapid prototyping of Data Science and Machine learning problems on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, with a focus on prompt engineering and LLMs. Writing production-grade Python applications. Managing version control with Git and using Docker for containerization. Knowledge of Databricks. Experience in Agile development environment and familiar with Agile ceremonies ( stand-up, backlog refinement, sprint planning) Excellentmunication skills Ability to thrive in fast-paced environments, and a thoughtful approach to AI fairness, accountability, and transparency.What you might also haveWorking knowledge of Azure. Experience in Snowflake. Working Knowledge of Power Platform and Copilot Studio.DE&I Statement

Diversity, equity and inclusiveness are core to who we are and how we work. We hold a collectivemitment to foster an environment where all differences are valued, practices are equitable, and everyone experiences a sense of belonging - where people are inspired to team and lead inclusively in their interactions every day.

Job ID 1614677