Job Overview

Accenture is seeking a Data Science Associate 3 for its S&C Global Network AI and Hi Tech practice in Bengaluru. The full-time role is listed with an experience range of 0–2 years and focuses on data science, Generative AI, decision science and cloud-based analytics.

The job summary describes work across areas such as consumer technology, enterprise technology and semiconductors. The position combines hands-on technical delivery with coordination of client-facing project work to develop and implement analytical and AI-driven solutions.

Key Responsibilities

Generative AI Development

• Develop and fine-tune models for natural language processing, computer vision and multimodal use cases, using relevant Generative AI frameworks.
• Create autonomous workflows by combining prompt engineering, API and tool integration, and orchestration frameworks.
• Observe, troubleshoot and refine AI agents, with attention to context handling, error recovery and response quality.
• Build retrieval pipelines that use vector databases to support AI applications.

Cloud Platform Implementation

• Implement scalable data science workflows on Microsoft Azure or Amazon Web Services for analytics projects involving areas such as marketing, supply chain or sales.
• Use cloud-native services and tools for model training, deployment and monitoring.
• Work with services such as Amazon SageMaker or Azure Machine Learning where they are relevant to the project.

Data Science and Engineering

• Perform advanced analysis using Python, SQL and machine learning frameworks.
• Develop predictive models, recommendation systems and optimization solutions that address business requirements.
• Work with large datasets, including preprocessing, feature engineering and preparation for different data modalities.
• Apply analytical and technical methods to translate project needs into data-driven solutions.

Required Technical Skills

• Python: Use Python for analytical work, data preparation and development of machine learning solutions.
• SQL: Query and work with data as part of analytics and data science workflows.
• Machine Learning: Apply machine learning techniques to develop predictive models, recommendations and optimization solutions.
• TensorFlow and PyTorch: Understand and use machine learning or deep learning frameworks for model development.
• Generative AI: Develop and refine models and workflows for NLP, computer vision and multimodal applications.
• Prompt Engineering and AI Agents: Build agent-based workflows and improve their context management, recovery behavior and output quality.
• Cloud platforms: Work with Azure or AWS to implement scalable data science processes and support model lifecycle activities.
• Vector databases: Build retrieval pipelines using technologies such as Pinecone, Weaviate or Milvus; the posting also names FAISS.

Frameworks and Tools Mentioned

The description names LangChain, LlamaIndex and AutoGen as workflow orchestration frameworks for autonomous AI applications. For retrieval solutions, it identifies Pinecone, FAISS, Weaviate and Milvus as vector database or retrieval technologies. These tools are presented as examples within the role description.

For cloud-based model workflows, the posting refers to Amazon SageMaker and Azure Machine Learning as examples of services that can support training, deployment and monitoring. The job also references TensorFlow and PyTorch for machine learning and deep learning development.

Experience and Work Arrangement

The listing specifies 0–2 years of experience and identifies the position as full time. It names Bengaluru as the job location. The supplied posting does not explicitly state a remote or hybrid arrangement, so this listing uses the configured onsite default rather than asserting a separate work-from-home policy.

Domains and Project Context

Projects may relate to Consumer Tech, Enterprise Tech and Semiconductors. The responsibilities include analytics work for marketing, supply chain or sales, alongside AI and decision-science initiatives. The exact project assignment and the mix of tools may depend on the work being delivered.

Who Should Apply

This opportunity may suit candidates whose experience falls within the stated 0–2 year range and who have practical skills in Python, SQL, data science or machine learning. Applicants interested in Generative AI, autonomous workflows, retrieval pipelines and cloud-based analytics can review the listed technical areas to assess their alignment with the role.

The provided description does not specify a required degree, academic branch, passing batch, salary range or application deadline. Candidates should consult the current application page for any additional eligibility details or updates before applying.

How to Apply

Review the role details and submit an application through Accenture's application process using the provided application link. Apply now through SoftoJobs to explore this opportunity.