Team : Global Network - Data & AI

Practice : Health Analytics

Experience : 2-4 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

- 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!

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 behavioral analysis

- Conversational AI optimization

- Large-scale data analysis

- Agentic AI (multi-agent orchestration, memory, autonomous workflows)

- Unstructured Data Handling (audio)