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
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Lead cross-functional teams to deliver data science solutions, ensuring technical excellence and client satisfaction.
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Independently manage end-to-end client engagements, including scoping, planning, delivery, and stakeholder communication.
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Mentor junior team members and foster a collaborative, high-performance culture.
Generative AI Expertise
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Design and deploy GenAI solutions (NLP, CV, multimodal) using advanced frameworks.
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Architect agentic AI workflows with LangChain, LlamaIndex, AutoGen, and enterprise integrations.
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Optimize AI agents and RAG pipelines (Pinecone, Weaviate, FAISS, Milvus) for accuracy and scalability.
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Advise clients on GenAI adoption, aligning solutions with business objectives and tech ecosystems.
Cloud Platform Expertise
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Design and deliver cloud-native AI/ML platforms on Azure, AWS, or GCP, ensuring scalability, security, and cost optimization across client environments.
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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.
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Integrate AI solutions with enterprise data ecosystems, including data lakes, warehouses, and real-time pipelines.
Data Science and Engineering
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Develop and scale advanced ML solutions (predictive modeling, recommendation engines, optimization algorithms) that directly impact business outcomes.
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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
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Translate business challenges into actionable data science solutions with measurable outcomes.
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Collaborate with business stakeholders to design data-driven strategies and identify opportunities for innovation.
