Senior Manager – Data Science

3 weeks ago

Bengaluru, Karnataka, India Genpact Full time
Job Description

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

. Proven experience as a Data Scientist or Data Analyst
. Strong background in data mining and statistical analysis
. Proficiency in R, SQL, and Python familiarity with Scala, Java, or C++ is a plus
. Experience with BI tools (e.g., Tableau) and big data frameworks (e.g., Hadoop)
. Strong mathematical foundation in statistics and algebra
. Excellent problem-solving, communication, and presentation skills
. Demonstrated leadership capabilities and business acumen

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