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S&C Global Network - Ai - Cmt - Consultant Data Science @ Accenture

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Accenture  S&C Global Network - Ai - Cmt - Consultant Data Science

Job Description

Job Title - Decision Science Practitioner Consultant SC GN Management Level:Consultant Location:Bangalore/ Kolkata/Gurugram/Hyderabad Must have skills:Data Modelling, Conceptual Logical Design, Semantic Modelling and Understanding of Knowledge Graphs
Good to have skills: Data Science, Ontologies, AI/ML Data Enablement, GenAI Foundations Job Summary: We are seeking a highly skilled and motivated Consultant Data Modeler to design, develop, and support the maintenance of conceptual, logical, physical, and semantic data models that support advanced analytics, AI/ML, and Generative AI use cases. The consultant will work closely with domain experts/business stakeholders, data science/engineering teams to translate complex business and system knowledge into scalable, high-quality data and semantic models. These models will serve as foundational assets enabling analytics, decision science, AI-driven insights, and intelligent automation across enterprise platforms. The role requires strong collaboration skills and the ability to work across multiple client environments. Key Responsibilities
Project and Team Leadership
  • Collaborate with business stakeholders and domain experts to understand data requirements and translate them into clear conceptual, logical, and physical data models.
  • Work closely with data engineers, analytics teams, and AI/ML practitioners to ensure data models are aligned with downstream consumption needs.
  • Aptitude to work independently on modeling workstreams within client engagements, including requirements gathering, design, and documentation.
  • Document communicate modeling decisions, trade-offs, and best practices to both technical and non-technical audiences.
  • Contribute to project delivery through high-quality, low-defect delivery, documentation, design reviews, and model governance activities.
    • Data Modelling Semantic Modelling Expertise
  • Design and maintain conceptual, logical, and physical data models for structured and semi-structured data across enterprise systems.
  • Develop reusable, extensible data models supporting analytics, reporting, AI/ML feature engineering, and decision science use cases.
  • Apply semantic modeling techniques, including domain modeling, entity relationships, hierarchies, and taxonomies.
  • Enable ontology and knowledge graph modeling, translating subject-matter knowledge into machine-readable representations.
  • Ensure alignment of data models with enterprise architecture principles, data standards, and best practices.
    • AI GenAI Enablement
  • Design data and semantic models that act as foundational datasets for AI/ML and Generative AI systems.
  • Enable explainability, reasoning, and contextual grounding through ontology-driven approaches and graph-based data models.
  • Partner with data science and AI teams to ensure models support feature reuse, RAG pipelines, and intelligent agent workflows.
  • Contribute to data model designs that improve trust, interpretability, and scalability of AI-driven solutions.
    • Data Governance Standards
  • Follow and contribute to data modeling standards, naming conventions, and design guidelines across projects.
  • Support data governance initiatives including metadata management, lineage, and documentation.
  • Ensure consistency, quality, and reusability of data assets across platforms and use cases.
    • Business Impact and Innovation
  • Translate complex business concepts into clear, well-structured data models that accelerate analytics and AI adoption.
  • Enable faster solution development by providing high-quality, well-documented data foundations.
  • Support measurable outcomes by improving data usability, consistency, and decision-making effectiveness.
    • Qualification Required
    Qualifications     Experience
  • 46 years of experience with 3+ years of hands-on experience in data modelling, information modelling, or data architecture roles.
  • Experience designing conceptual, logical, and physical data models.
  • Experience working in consulting or client-facing roles is highly preferred.
    • Education
  • Bachelors or Masters degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
    • Technical Skills
  • Strong expertise in data modeling techniques and methodologies.
  • Proficiency with data modeling tools (ER modeling tools, UML, or equivalent) is preferred.
  • Experience working with relational and graph-based data models.
  • Familiarity with semantic modeling concepts, ontologies, or knowledge graphs (e.g., RDF/OWL concepts).
  • Ability to collaborate effectively with data engineers, data scientists, and business stakeholders.
    • Preferred Skills
  • Exposure to knowledge graph technologies (e.g., Neo4j or similar).
  • Familiarity with AI/ML and GenAI consumption patterns, including feature stores, RAG pipelines, and agentic systems.
  • Experience defining data standards and governance frameworks.
  • Prior experience supporting analytics, decision science, or AI-driven initiatives.

    • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Analytics - Other
    Role: Data Science & Analytics - Other
    Employement Type: Full time

    Contact Details:

    Company: Accenture
    Location(s): Bengaluru

    + View Contact

    Keyskills:   data science c data standards ai enterprise architecture data architecture enterprise systems analytics neo4j automation data modeling use cases team leadership feature engineering data governance architecture requirements gathering

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