Generative AI Data Science ,SAS-Manager

Industry/Sector

Specialism

Management Level

Job Description & Summary

Exp 4 yrs

PwC US - Acceleration Center is actively seeking an experienced GenAI Data Scientist to join our team as this influential role you will lead the development and implementation of sophisticated machine learning models and algorithms for our GenAI projects. The ideal candidate will have extensive experience in data science a deep understanding of GenAI technologies andexpertisein statistical analysis machine learning data visualization and application programming.

Responsibilities:

Leadership & Strategy:

• Own the GenAI product roadmap prioritize use cases set measurable OKRs and align delivery with business strategy.

• Lead coach and grow a multi-disciplinary team (data scientistsMLOpsengineers full-stack developers).

• Champion Responsible AI establishgovernance bias-mitigation model-monitoring and privacy-by-design practices.

• Stakeholder engagement translate complex AI concepts into executive-ready narratives; influence partners and clients.

Technical Excellence:

• Design architect and iterate GenAI and agentic AI solutions end-to-end (LLM orchestration RAG pipelines goal-directed agents).

• Build scalable data pipelines for structured & unstructured data: intelligent chunking embeddings vector stores (FAISSpgvectors Azure AI Search).

• Oversee robustMLOps containerize workloads implement CI/CD deploy to Kubernetes across Azure AWS or GCP.

• Promote engineering best practices clean architecture unit/integration testsGitFlow code reviews automated documentation.

Requirements:

• 8 years of relevant experience in data science with significantexpertisein GenAI projects.

• Experience integrating GenAI with Azure OpenAI AWS Bedrock GCP Vertex AI or similar managed services.

• Advanced programming skills in Python andproficiencyin machine learning libraries like TensorFlowPyTorch or scikit-learn.

• Working experience in code migration use cases using GenAI(especially for stored processes macros batch jobs etc.).

• Hasproficiencyin SAS

• Has worked in R ScalaMatlabor SQL

• Agentic AI experience with LLM-backed agent frameworks includingLangChainLangGraphAutoGen andCrewAI as well as RAG patterns.

• Extensive experience in data preprocessing feature engineering and statistical analysis.

• Strong knowledge of cloud computing platforms such as AWS Azure or Google Cloud and data visualization techniques.

• Demonstrated leadership in managing data science teams and projects.

• Exceptional problem-solving analytical and project management skills.

• Excellent communication and interpersonal skills with the ability to lead and collaborate effectively in a dynamic environment.

Nice to Have Skills:

• Experience implementing Model Context Protocol (MCP) and sophisticated agent-to-agent (A2A) communication.

• Advanced model performance lead experiments on fine-tuning quantization (LoRAQLoRA PEFT) and evaluation (BLEU ROUGE toxicity factuality).

• Object-oriented programming with Java C or C#.

• Hands-on experience with leading agent orchestration platforms such asAgentspace(Google)Agentforce(Salesforce) and Mosaic AI (Databricks).

• Experience in Spark/Hadoop is preferred

Educational Background:

• BE / MCA / Degree/MBA/ Any degree

Preferred Qualifications:

• Certifications in cloud (Azure/AWS/GCP) Kubernetes or GenAI technologies.

• Having finance background or experience working with Finance or Banking domain

Travel Requirements

Job Posting End Date