S&C Global Network - AI - Hi Tech - Data Science Sr. Analyst
Accenture · Bengaluru · onsite · Posted 23d ago
Undisclosed2–5 yrsfulltimeSourced from
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About this role
Job Summary:
We are seeking a highly skilled and motivated Data Science Sr. Analyst 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, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.
Key Responsibilities
Generative AI Expertise
- Design and fine-tune GenAI models for NLP, CV, and multimodal use cases, ensuring enterprise scalability.
- Architect agentic AI solutions with orchestration frameworks (LangChain, LlamaIndex, AutoGen), integrating APIs and enterprise knowledge bases.
- Optimize agent workflows by defining monitoring, fine-tuning RAG pipelines, and improving context handling and reliability.
- Build scalable retrieval pipelines using vector databases (Pinecone, FAISS, Weaviate, Milvus) for high-performance enterprise integration.
Cloud Platform Expertise
- Design scalable AI/ML workflows on Azure or AWS for cross-functional domains with cost and performance optimization.
- Leverage cloud-native MLOps tools (SageMaker, Azure ML) for model training, deployment, monitoring, and governance.
Data Science and Engineering
- Develop advanced predictive models, recommendation engines, and optimization solutions, ensuring business relevance and measurable impact.
- Engineer robust data pipelines and feature stores to support GenAI and ML models across structured, unstructured, and multimodal datasets.
Qualification
Required
Qualifications
Qualifications
- Experience:4+ years in data engineering/data science
- Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field
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.
Sourced from naukri
Skills
cloud platformsapisComputer Visioncloud platformamazon web servicesbigqueryazure mlclient deliveryAnalyticsApplied MathematicsData EngineeringcloudArchitectureAzure Data LakeAi SolutionsMicrosoft AzureData PipelineData ScienceArtificial Intelligence
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Accenture
IT Services & Consulting
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