We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities:- Work on the latest applications of data science to solve business problems
- Work directly with client stakeholders to translate business problems into high level analytics solution designs
- Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
- Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
- Design and develop machine learning and Generative AI solutions using Databricks and Azure AI services.
- Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph
- Develop agentic AI workflows for automation, insights generation, and decision support
- Implement Document Intelligence solutions for extracting insights from unstructured data
- Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
- Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution
Requirements- 8 - 13 years of professional work experience with at least 5 years in Data Science
- Strong hands-on experience with Databricks (PySpark, Delta Lake)
- Expertise in:
- Azure Data Factory (ADF)
- Azure Blob Storage
- Azure OpenAI & Azure AI Foundry
- Document Intelligence
- Proficiency in Python and SQL
- Experience with MLflow and model lifecycle management
- Hands-on experience with Databricks Model Serving
- Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
- Experience building end-to-end ML pipelines in production
- Familiarity with CI/CD pipelines, monitoring, and model governance
- Ability to design scalable and reliable AI systems
- Bachelor's in Business Analytics or equivalent work experience.
BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
