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

8140 ASOL - Gurugram Non STPI Company; Gurugram District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Accenture is seeking a Data Science Analyst for the Health Analytics practice across multiple locations including Bengaluru and Gurugram. The ideal candidate has 1–4 years of experience in health analytics and a Master’s or Bachelor’s degree in a related field.

You will develop Gen AI/NLP solutions, build ML models for sentiment, intent and predictive analytics, and collaborate with cross-functional teams to deploy AI-driven insights that improve customer experiences in healthcare contact

Qualifications

• Strong ability to extract strategic insights from large data sets.
• Proficiency in statistical forecasting/modeling, ML/AI techniques and NLP.
• Experience with visualization tools like Tableau or Power BI.

Responsibilities

• Develop and fine-tune Generative AI models to improve customer interactions and self-service capabilities.
• Build ML models for use cases like intent classification, sentiment analysis, and predictive analytics.
• Analyze large-scale health interaction data to extract actionable insights and refine business strategies.
• Collaborate with engineering, product and marketing to deploy AI-driven solutions across platforms.
• Handle unstructured data (text, audio, emails, chat) to create robust AI/ML pipelines.

Skills

Machine Learning

Deep Learning

Gen AI

NLP

Python

R

SQL

Tableau

Power BI

Education

Master's degree in computer science/statistics/applied mathematics or related field with 2+ years of experience

Bachelor's degree in computer science/statistics/applied mathematics or related field with 3+ years of experience

Tools

Python

Spark

SQL

Job description

Job Title - S&C GN - Data Science Analyst Team: Global Network – Data & AI Practice: Health Analytics Location: Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Experience: 1-4 years of experience in Health Analytics Educational Qualification: Master’s degree in computer science, statistics, applied mathematics, or a related field with 2+ years of experience, OR Bachelor’s degree in computer science, statistics, applied mathematics, or a related field with 3+ years of experience. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), generative ai, and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you!

Who are we looking for?

• Strong ability to extract strategic insights from large data sets.
• Adept with using Statistical (like forecasting/modeling, optimization models), Machine Learning (GBM, Decision Trees etc.), AI techniques (Deep Learning)
• Proficient in data handling suites PYTHON, Spark, SQL, or similar packages
• Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical businesspeople.
• Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of marketing and business economics.
• Adept with knowledge & working on Visualization tools like Tableau, POWER BI, etc.

Must have skills:

• Machine Learning/Deep Learning, Gen AI, NLP, Python, R, AI, SQL, Unstructured Data Handling (text, audio, emails, chat, others), Visualization tools like Tableau, POWER BI

Good to have skills:

• Experience in Graph Neural Networks (GNNs) for complex relational data modelling.
• Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models.
• A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science.
• Exposure to Agentic AI approaches (tool use, planning/memory, multi-agent orchestration, autonomous workflows)

Professional & Technical Skills:

• Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities.
• Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics.
• Customer segmentation and behavioural analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies.
• Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making.
• Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies.
• Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms.
• Working with unstructured data (text, audio, emails, chat, others) to build robust AI/ML pipelines and solutions.

This role offers the opportunity to work on cutting‑edge AI and data science techniques, driving real‑world impact in the contact center space for healthcare

About Our Company | Accenture About 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

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