S&C Global Network - AI - Hi Tech - Data Science Consultant

S&C Global Network - AI - Hi Tech - Data Science Consultant

Job Title -   Decision Science Practitioner Consultant S&C GN

Management Level: Consultant

Location: Bangalore/ Kolkata/Gurugram/Hyderabad

Must have skills: Generative AI

Good to have skills: Data Science

Experience: 6+ years in data science/Gen AI

Educational Qualification: Master’s degree in computer science, Statistics, Applied Mathematics, Engineering or related field

Job Summary:

We are seeking a highly skilled and motivated Data Science Consultant/Team Lead to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines hands-on technical expertise, team leadership, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.

Key Responsibilities

Project and Team Leadership

• Lead cross-functional teams to deliver data science solutions, ensuring technical excellence and client satisfaction.
• Independently manage end-to-end client engagements, including scoping, planning, delivery, and stakeholder communication.
• Mentor junior team members and foster a collaborative, high-performance culture.

Generative AI Expertise

• Design and deploy GenAI solutions (NLP, CV, multimodal) using advanced frameworks.
• Architect agentic AI workflows with LangChain, LlamaIndex, AutoGen, and enterprise integrations.
• Optimize AI agents and RAG pipelines (Pinecone, Weaviate, FAISS, Milvus) for accuracy and scalability.
• Advise clients on GenAI adoption, aligning solutions with business objectives and tech ecosystems.

Cloud Platform Expertise

• Design and deliver cloud-native AI/ML platforms on Azure, AWS, or GCP, ensuring scalability, security, and cost optimization across client environments.
• Advise on MLOps best practices – from model training and deployment to monitoring and governance – leveraging platforms such as SageMaker, Azure Machine Learning, and Vertex AI.
• Integrate AI solutions with enterprise data ecosystems, including data lakes, warehouses, and real-time pipelines.

Data Science and Engineering

• Develop and scale advanced ML solutions (predictive modeling, recommendation engines, optimization algorithms) that directly impact business outcomes.
• Lead the design of robust data architecture and feature engineering pipelines, supporting GenAI and ML applications across structured, unstructured, and multimodal datasets.

Business Impact and Innovation

• Translate business challenges into actionable data science solutions with measurable outcomes.
• Collaborate with business stakeholders to design data-driven strategies and identify opportunities for innovation.