S&C Global Network - AI - Healthcare CCAI -Consultant

8140 ASOL - Gurugram Non STPI Company; Mumbai; On-site; INR 1,200,000 - 2,300,000; Full time

Job summary

Accenture is seeking a Data Science Consultant to join the Global Network – Data & AI Practice: Health Analytics. The role spans multiple locations, including Bengaluru, Gurugram, Mumbai, and other major centers, and focuses on healthcare analytics with advanced AI/ML techniques.

You will develop and deploy Generative AI models, NLP pipelines, and predictive analytics solutions while collaborating with engineering, product, and marketing teams to deliver measurable business impact.

Qualifications

• Strong programming in Python with data manipulation libraries.
• Experience building ML/NLP models for real-world data.
• Proficiency with cloud AI services and MLOps basics.

Responsibilities

• Develop and fine-tune Generative AI models to automate responses and improve customer interactions.
• Build and deploy ML models for intent classification, sentiment analysis, and predictive analytics.
• Apply NLP techniques (NER, summarization, embeddings) using frameworks like Hugging Face and LangChain.
• Optimize conversational AI workflows for real-time decision-making and enhanced self-service.
• Analyze large-scale customer interaction data to extract actionable insights.
• Work with unstructured data (text, audio, chat, emails) to build robust AI/ML pipelines.
• Collaborate with cross-functional teams to integrate AI solutions.
• Leverage cloud platforms (Azure, AWS, GCP) for scalable AI/ML development and deployment.

Skills

Python

Pandas

NumPy

SQL

PySpark

ML

DL

NLP

Hugging Face

LangChain

LLMs

Transformers

RAG

Prompt Eng

Unstructured Data

Education

Master's degree in CS/Statistics/Applied Mathematics

Bachelor's degree in CS/Statistics/Applied Math

Tools

OpenAI APIs

Azure

AWS

GCP

Hugging Face

LangChain

Job description

Job Title - S&C GN - Data Science Consultant Team: Global Network – Data & AI Practice: Health Analytics Location: Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Experience: 4-8 Years in Healthcare Analytics Educational Qualification: Master’s degree in computer science, statistics, applied mathematics, or a related field with 3+ years of experience, OR Bachelor’s degree in computer science, statistics, applied mathematics, or a related field with 4+ years of experience

Key Responsibilities

As a Data Science Consultant, you will:

• Develop and fine-tune Generative AI models to automate responses and improve customer interactions.
• Build and deploy ML models for intent classification, sentiment analysis, and predictive analytics.
• Apply NLP techniques (NER, summarization, embeddings) using frameworks like Hugging Face, LangChain, and OpenAI APIs.
• Optimize conversational AI workflows for real-time decision-making and enhanced self-service.
• Analyze large-scale customer interaction data to extract actionable insights.
• Work with unstructured data (text, audio, chat, emails) to build robust AI/ML pipelines.
• Collaborate with cross-functional teams (engineering, product, marketing) to integrate AI solutions.
• Leverage cloud platforms (Azure, AWS, GCP) for scalable AI/ML development and deployment.

What you would do in this role

Work with Managers to get Client's business requirements and deliver Analytics driven solution.

Duties and Responsibilities

Sr. Data Scientist is responsible for generating actionable recommendations well-supported by quantitative analysis to help our clients address their ongoing problems.

• Present analytic findings & opportunities for improvement to senior management and summarize key findings, and aid in the dissemination of metrics throughout the organization.
• Build knowledge base and disseminate information on applications of variety of analytical techniques.
• Develop statistical models and delivery of analytic offerings and solutions in health domain areas.

Required Skills

Technical Must-Haves

• Python programming
• Advanced data manipulation (Pandas, NumPy)
• SQL or PySpark
• Machine Learning & Deep Learning (Scikit-learn, PyTorch/TensorFlow)
• NLP and NLP Frameworks (NER, summarization, embeddings, Hugging Face, LangChain)
• Generative AI (LLMs, Transformers, Diffusion Models)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Unstructured Data Handling (text, chat, emails)

Good to Have Skills

• LLM Optimization (fine-tuning, prompt engineering, efficient deployment)
• Experience with cloud-native AI/ML services (Azure ML, AWS Sagemaker, GCP Vertex AI)
• Customer segmentation and behavioural analysis
• Conversational AI optimization
• Large-scale data analysis
• Agentic AI (multi-agent orchestration, memory, autonomous workflows)
• Unstructured Data Handling (audio)

About Our Company | Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.