Data Scientist designing and deploying AI agents and copilots for clients' business needs. Developing scalable solutions with Microsoft technologies and leading AI initiatives in a collaborative environment.
Responsibilities
Build AI agents and copilots using Microsoft Copilot Studio
Develop automated workflows using Power Automate / Azure Logic Apps
Integrate AI agents with enterprise systems via APIs, connectors, and Azure services
Implement RAG architectures, grounding, semantic search using Azure OpenAI and Azure Cognitive Search
Ensure security, governance, and responsible AI practices across agent ecosystems
Collaborate with architects, analysts, and business teams to deploy scalable AI solutions
Design and build agentic systems from scratch, including orchestration, memory, reasoning, and tool-use patterns
Consult with clients to understand business needs, identifying opportunities where AI, specifically LLMs, can add value
Help prioritize the backlog and define business cases for GenAI-based initiatives
Architect and design scalable AI solutions that integrate LLMs and generative AI technologies
Lead development of MVPs, collaborating with data scientists, ML engineers, and client stakeholders
Provide thought leadership on best practices for deploying and scaling AI models in production
Guide clients on AI governance, data privacy, model interpretability, and responsible AI practices
Drive the design of autonomous AI agents, copilots, and multi-agent systems for enterprise use cases
Requirements
Advanced degree in Computer Science, Data Science, or related field
5+ years of experience in AI architecture, with strong focus on consulting and LLMs
Proven track record in building and deploying large-scale AI models, including hands-on experience with LLMs
Demonstrated experience in building AI agents and agentic systems from scratch
Strong experience with Microsoft Copilot Studio and Microsoft 365 Copilot
Knowledge of Azure OpenAI and other common LLM platforms
Excellent communication skills to bridge technical solutions with business objectives
Senior Data Scientist at Analytic Partners designing advanced data science and AI solutions. Collaborating with teams to drive innovations and impact on products and clients.
Data Scientist supporting management consultants conduct data analysis and providing strategic decision - making insights. Involves data processing, model development, and collaborative problem - solving with clients.
Data Scientist analyzing large datasets to discover trends and supporting business stakeholders with data - driven insights. Designing machine learning models and presenting information through data visualization.
Senior Data Scientist designing generative AI applications at Roche, leveraging extensive expertise in AI and business applications. Collaborating with teams and influencing technical priorities in a dynamic environment.
Data Scientist building extensible multi - agent infrastructure at Roche. Focused on Generative AI solutions transforming healthcare and biotech operations.
Data Scientist executing complex data science projects in Pharma R&D at Roche. Leading AI initiatives and data integration efforts to drive strategic decision - making.
Senior Data Scientist building machine learning solutions for Kempower's EV charging software. Collaborating across teams and mentoring junior colleagues in a hybrid work environment.
Data Science Intern supporting AI/ML initiatives within Foundation GEOINT. Working on computer vision and geospatial data analysis for government customers.
Data Scientist helping drive customer success and engagement using data - driven insights at OpenAI. Collaborating with various business units to optimize performance and foster growth.
Senior Data Scientist developing NLP and data science solutions for fast - evolving markets at LSEG. Collaborating with Subject Matter Experts to ensure production - ready, customer - focused outcomes.