Job Overview

Accenture is hiring a Data Science Associate for its S&C Global Network AI and Hi Tech team in Bengaluru. The role is full time and is suited to candidates with 0–2 years of experience.

The position focuses on data science, Generative AI, decision science, and cloud-based analytics. The work covers domains including Consumer Tech, Enterprise Tech, and Semiconductors, combining hands-on technical delivery with client-focused project execution.

Key Responsibilities

• Develop and fine-tune models for Natural Language Processing (NLP), Computer Vision, and multimodal applications using Generative AI frameworks.
• Build autonomous AI workflows using prompt engineering, API and tool integration, and orchestration frameworks.
• Monitor, debug, and fine-tune AI agents to improve context handling, error recovery, and response quality.
• Build retrieval pipelines using vector database technologies such as Pinecone, FAISS, Weaviate, and Milvus.
• Implement scalable data science workflows on Microsoft Azure or Amazon Web Services (AWS) for marketing, supply chain, or sales analytics projects.
• Use cloud-native tools for model training, deployment, and monitoring, including SageMaker and Azure Machine Learning.
• Perform advanced analytics using Python, SQL, and machine learning frameworks such as TensorFlow or PyTorch.
• Develop predictive models, recommendation systems, and optimization solutions for business requirements.
• Manage large-scale datasets, preprocessing pipelines, and feature engineering across diverse data modalities.

Required Skills

• Python for advanced analytics and data science work.
• SQL for working with and analyzing data.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Knowledge of Generative AI, model fine-tuning, NLP, Computer Vision, and multimodal applications.
• Ability to develop AI workflows using prompt engineering, API or tool integration, and orchestration frameworks.
• Understanding of retrieval pipelines and vector database technologies.
• Experience with cloud-based data science workflows on AWS or Azure.

Generative AI and AI Engineering

The role involves building and fine-tuning models for NLP, Computer Vision, and multimodal use cases. It also includes developing autonomous workflows and AI agents, monitoring their behavior, and improving context handling, error recovery, and response quality.

The job description specifically references orchestration frameworks including LangChain, LlamaIndex, and AutoGen, as well as vector databases including Pinecone, FAISS, Weaviate, and Milvus.

Cloud Platform Expertise

Candidates will work with scalable data science workflows on AWS or Microsoft Azure. The role includes cloud-native model training, deployment, and monitoring, with SageMaker and Azure Machine Learning cited as examples in the job description.

Data Science and Engineering

The position requires advanced analytics using Python and SQL, together with machine learning frameworks such as TensorFlow and PyTorch. Responsibilities include predictive modeling, recommendation systems, optimization solutions, data preprocessing, and feature engineering.

Technologies

• Python – Used for advanced analytics and data science activities.
• SQL – Used for data analysis and large-scale data work.
• Machine Learning – Applied to predictive models, recommendations, and optimization solutions.
• TensorFlow and PyTorch – Machine learning frameworks referenced in the role.
• Generative AI – Used for model development, fine-tuning, and AI workflows.
• LangChain and LlamaIndex – Referenced for AI workflow orchestration.
• Weaviate and Milvus – Referenced as vector database technologies.
• AWS and Microsoft Azure – Cloud platforms for scalable data science workflows.

Experience

This is a full-time opportunity for candidates with 0–2 years of experience.

Work Mode & Location

The job is listed in Bengaluru, which maps to Bangalore in the SoftoJobs location master. The supplied JD does not explicitly state a remote or hybrid arrangement, so the configured work mode is onsite.

Who Should Apply

This opportunity is relevant to candidates with 0–2 years of experience who have skills in data science, Python, SQL, machine learning, Generative AI, and cloud-based analytics. Candidates should also be familiar with the AI and data technologies specified in the job description.

How to Apply

Apply now through SoftoJobs to explore this opportunity.