S&C Global Network - AI - CCAI -Analyst

Accenture; Gurugram District; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Accenture's Data Science team in India is seeking a Data Science Analyst to advance conversational AI and analytics for contact centers. You will develop generative models, fine-tune AI systems, and deploy ML solutions for intent, sentiment, and predictive insights to improve customer experiences.

Join a fast-moving group focused on real-world challenges, collaborating with engineering, product, and marketing to scale AI-driven improvements and measurable business impact.

Qualifications

• PhD with 1+ years of relevant experience, OR Masters with 2+ years, OR Bachelors with 3+ years.
• Must have skills: Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL.

Responsibilities

• Develop and fine-tune 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 behavioral 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.

Skills

Machine Learning

Deep Learning

Gen AI

NLP

Python

R

AI

SQL

Education

PhD with 1+ years of relevant experience

Masters degree with 2+ years of experience

Bachelors degree with 3+ years of experience

Tools

Graph Neural Networks (GNNs)

LLM Optimization

Job description

About The Role

• Job Title - SC GN - Data Science Analyst
• Location: Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad
• Must have skills: Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL
• 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.
• Experience Educational Qualification:
  • PhD with 1+ years of relevant experience, OR.
  • Masters degree with 2+ years of experience, OR
  • Bachelors degree 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), 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.

If you''re passionate about applying data science to solve real-world customer experience challenges, this is the team for you!

Professional Technical Skills:

• As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include:
• 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 behavioral 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.

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