Senior Manager – Data Science!

Inviting applications for the role of Senior Manager - Data Science!

In this role, you will lead the development and deployment of advanced analytical models and machine learning solutions to solve complex business problems. You will collaborate with cross-functional teams to drive data-driven strategies and ensure best practices in ethical AI and model governance.

Responsibilities

Roles & Responsibilities - Data Scientist (AI & GenAI )

Core AI & ML

Develop, train, and optimize machine learning models (supervised, unsupervised, reinforcement learning) for predictive and prescriptive insights.

Build scalable data pipelines and feature engineering workflows to support AI models.

Apply advanced statistical techniques for experimentation (A / B tests, causal inference, regression analysis).

GenAI (Generative AI)

Design, fine-tune, and deploy Large Language Models (LLMs) for use cases like summarization, text generation, retrieval-augmented generation (RAG), and multi-agent workflows.

Implement prompt engineering, chain-of-thought design, and evaluation frameworks to improve GenAI outputs.

Build domain-specific knowledge bases and vector databases for contextualized AI responses.

Integrate GenAI with enterprise systems (e.g., SAP, CRM, ServiceNow) to enable intelligent automation.

Data & Engineering Collaboration

Partner with Data Engineers to ensure clean, reliable, and well-structured datasets for model consumption.

Collaborate with ML Engineers to productionize models with CI / CD, MLOps , and monitoring.

Work with UX / Product teams to translate model outputs into actionable insights and intuitive dashboards.

Business & Domain

Understand business problems and map them into AI / GenAI solutions with measurable ROI.

Translate technical insights into business-friendly narratives for leadership and clients.

Identify emerging AI / GenAI trends and evaluate their relevance to business strategy.

Governance & Ethics

Ensure models comply with responsible AI principles : fairness, transparency, explainability, and bias mitigation.

Establish monitoring frameworks for accuracy drift, hallucinations, and ethical risks in GenAI usage.

Qualifications we seek in you!

Minimum Qualifications

• . Bachelor's degree in Engineering or Computer Science
• . Graduate degree in Data Science is preferred
• . Hands-on experience with MLOps tools and platforms such as Azure ML, SageMaker

Preferred Qualifications / Skills