Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

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.

Benefits

Significant 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.

Originally posted on Himalayas

Lead Data Scientist - GenAI at Tiger Analytics