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

Accenture

India

Sur place

INR 1 200 000 - 2 400 000

Plein temps

14 jours+
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Résumé du poste

Accenture’s Health Analytics team seeks a Data Science Analyst to advance Generative AI and ML for contact center optimization in healthcare. Work involves building AI models, analyzing unstructured data, and driving value through data-driven customer experiences across multiple Indian locations.

You will collaborate with cross‑functional teams to deploy solutions that improve self‑service, reduce transfers and boost satisfaction through predictive analytics and real‑time insights.

Qualifications

  • Masters or Bachelors in a quantitative field with relevant health analytics experience.
  • Experience applying ML/NLP/AI to contact center or health analytics domains.
  • Ability to extract strategic insights from large datasets and communicate results.

Responsabilités

  • Develop and fine-tune Generative AI models to improve interactions and self-service.
  • Build ML models for intent classification, sentiment analysis, and predictive analytics.
  • Perform customer segmentation and behavioural analysis for targeted engagement.
  • Optimize conversational AI workflows and real-time decision making.
  • Collaborate with engineering, product and marketing to deploy AI solutions.

Connaissances

Machine Learning
Deep Learning
Gen AI
NLP
Python
R
SQL
Unstructured Data Handling
Visualization Tools

Formation

Master’s degree in computer science, statistics, applied mathematics or related field (2+ years experience)
Bachelor’s degree in computer science, statistics, applied mathematics or related field (3+ years experience)

Outils

Python
Spark
SQL
Tableau
Power BI

Description du poste

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:
As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experience and optimize contact centre 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 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

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