# S&C Global Network - AI - Hi Tech - Data Science ConsultantAccenture Solutions Pvt LtdPosted on October 23, 2026---Experience6 - 11 yrsSalary (CTC)₹22.7L - ₹25.1LJob LocationBengaluru, IndiaVacancy1DesignationData Science ConsultantJob TypeNot specified---## Job Description**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. **Qualification** **Required Qualifications*** **Experience:**6+ years in data science, including team leadership and independent client delivery.* **Education:**Master??s Degree in a quantitative discipline (e.g., Computer Science, Statistics, Applied Mathematics, or related field).* **Industry Knowledge:** Experience in **Consumer Tech**, **Enterprise Tech**, or **Semiconductors**.**Technical Skills*** **Programming:** Proficiency in **Python**, **SQL**, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).* **GenAI Expertise:** Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents* **Cloud Platforms:** Experience with **Azure** and/or **AWS** in data science workflows.* **Data Science Tools:** Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).* GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)* Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.**Preferred Skills*** Experience in decision science projects focused on **marketing**, **supply chain**, or **sales**.* Strong analytical and problem-solving skills with a results-oriented mindset.* Excellent communication and stakeholder management capabilities.****Additional Information:**** - The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients- This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office.