S&C Global Network - AI -CMT– Consultant Data Science job opportunity at Accenture Plc.

Home Jobs In India Tag: AI & Data S&C Global Network - AI -CMT– Consultant Data Science position at Accenture Plc


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Accenture Plc S&C Global Network - AI -CMT– Consultant Data Science
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AI & Data

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degreeBachelor's (B.Sc.)
loacation Gurugram, India
loacation Gurugram....India

Job Title - Decision Science Practitioner Consultant S&C GN Management Level: Consultant Location: Bangalore/ Kolkata/Gurugram/Hyderabad Must have skills: Telecom Network & Data Science Good to have skills: Data Science Job Summary: We are seeking a highly skilled and motivated Data Science Consultant to design, develop, and implement AI/ML and Generative AI solutions for telecom network use cases. The consultant will work closely with business stakeholders, product teams, and engineering groups to translate complex telecom data challenges into scalable, innovative AI-driven solutions that improve network performance, customer experience, and operational efficiency Key Responsibilities Project and Team Leadership Collaborate with domain experts and business teams to identify and define AI/ML/GenAI use cases within telecom networks (e.g., anomaly detection, fault prediction, traffic forecasting, automated troubleshooting, knowledge assistants). 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. Translate business requirements into AI-driven solution architectures and PoCs aligned with design guidelines. Generative AI Expertise Translate business requirements into AI-driven solution architectures and PoCs aligned with design guidelines. Provide technical consulting, present findings, and guide stakeholders on best practices for AI/ML adoption in telecom. 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. Required Qualifications Experience: 4–8 years of experience in data science / machine learning, with at least 2 years applying AI/ML in telecom or network-related domains. Education: Master’s Degree in a quantitative discipline (e.g., Computer Science, Statistics, Applied Mathematics, or related field). Industry Knowledge: Experience in Telecom Network Technical Skills Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with NLP, LLMs, and Generative AI frameworks (LangChain, Hugging Face, Azure OpenAI, etc.). Strong understanding of telecom network data (OSS/BSS, KPIs, alarms, logs, CDRs, performance counters). Knowledge of time series analysis, anomaly detection, and predictive modeling in telecom scenarios. Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tools for model deployment and monitoring. Strong problem-solving, consulting, and stakeholder communication skills. Preferred Skills Experience in 5G/4G network analytics, RAN/Core KPIs, and SON use cases. Exposure to knowledge graph techniques for telecom use cases. Prior experience working in consulting / client-facing roles delivering AI/ML solutions. Contributions to AI/ML/GenAI open-source projects or research publications.

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