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Description - External

We are Cognizant AIA - Artificial Intelligence and Analytics !!

**About AI & Analytics:** Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies! By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models! Cognizant’s AIA practice takes insights that are buried in data and provide businesses with a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

We are seeking an experienced Data Modeler with 12 to 16 years of expertise in data mapping, integration, and modeling. The ideal candidate will possess a strong background in ANSI SQL, data analysis, and proficiency with tools such as IBM InfoSphere Data Architect and ERWin. This hybrid role demands a detail-oriented professional capable of designing and implementing logical and physical data models that support evolving business objectives.

Senior Data Scientist (NLP & Conversational AI) — Python Expert

Role Summary

We are looking for a **Senior Data Scientist** with deep expertise in **Natural Language Processing (NLP)** and **Python** , who can design, build, and optimize conversational AI systems integrated with **Voice AI** . The role involves scaling real-time transcription pipelines, persona extraction from millions of conversations, and enhancing dialogue agents for production environments. You will work closely with engineering teams to integrate bots with backend systems (e.g., WebSocket APIs) and ensure robust, tested, and documented solutions.

Key Responsibilities

+ **Conversational AI Development** :

+ Enhance and optimize **conversation bots** that interact with Voice AI and backend systems.

+ Implement **dialogue management** strategies using NLP techniques and persona-based responses.

+ **Speech & Text Processing** :

+ Build and improve pipelines for **real-time transcription** and **persona extraction** from large-scale datasets (millions of transcriptions).

+ Apply advanced NLP for intent detection, entity recognition, and context-aware responses.

+ **Integration & Orchestration** :

+ Integrate bots with **WebSocket APIs** and backend services for seamless communication.

+ Collaborate with external systems (e.g., Fiserv WebSocket) for data exchange and orchestration.

+ **Performance & Scalability** :

+ Optimize Python code for speed and memory efficiency in high-volume environments.

+ Scale persona generation and testing frameworks for large datasets.

+ **Quality & Documentation** :

+ Complete **unit testing** , error handling, and performance benchmarking.

+ Maintain clear documentation in **Confluence** and ensure reproducibility of workflows.

+ **Continuous Improvement** :

+ Implement enhancements to conversation logic (e.g., phone number validation, persona diversity).

+ Drive innovation in conversational AI using best practices in NLP and speech technologies.

Required Skills

+ **Expert Python** : clean, optimized, production-grade code.

+ Strong **NLP fundamentals** : text preprocessing, tokenization, embeddings, transformer-based models (BERT, RoBERTa).

+ Experience with **speech-to-text (ASR)** and **real-time transcription pipelines** .

+ Hands-on with **conversation bots/dialogue systems** and persona-based modeling.

+ Familiarity with **WebSocket integration** , REST APIs, and backend orchestration.

+ Proficiency in **ML lifecycle** : model training, evaluation (precision/recall/F1), deployment (FastAPI/Flask), and monitoring.

+ Knowledge of **data scaling strategies** for millions of records.

+ Strong unit testing and debugging skills.

Nice-to-Have

+ Experience with **voice AI frameworks** or **speech synthesis** .

+ Familiarity with **vector databases** (FAISS, Elasticsearch) for semantic search.

+ Cloud platforms (AWS/Azure/GCP) for scaling and deployment.

+ Exposure to **MLOps tools** (MLflow, DVC) and CI/CD pipelines.

Success Metrics

+ Deliver **optimized conversation bot** integrated with Voice AI and backend WebSocket.

+ Scale persona extraction from **hundreds to millions of transcriptions** .

+ Achieve **robust unit testing coverage** and performance benchmarks.

+ Maintain comprehensive documentation and reproducible workflows.

\#LI-KN1

Salary and Other Compensation:

Applications will be accepted until October 19 th 2025. The annual salary for this position is between $120K- 130K depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:· Medical/Dental/Vision/Life Insurance· Paid holidays plus Paid Time Off· 401(k) plan and contributions· Long-term/Short-term Disability· Paid Parental Leave· Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.