Data Scientist GenAI and Intelligent Automation
Role overview
Data Scientist to design, build, and operationalize ML, GenAI, and predictive models that power an enterprise scale AI driven Service Planning & Design (SP&D) platform. The role focuses on cost estimation, calibration, compliance intelligence, and document/image interpretation, working closely with GenAI agents, cloud architects, and domain SMEs.
Responsibilities
- check_circle Design and develop ML models
- check_circle Build and tune models using XGBoost, Random Forest, scikit learn, and related frameworks
- check_circle Evaluate model performance using MAE, RMSE, R², and error distribution analysis
- check_circle Collaborate with AI Engineers to embed ML models into GenAI driven, multi agent workflows
- check_circle Work with RAG pipelines for document intelligence and contextual Q&A
- check_circle Enable human readable explanations for predictions and recommendations
- check_circle Analyze structured and unstructured datasets from historical estimates, actual costs, documents, and images
- check_circle Perform feature engineering from:
- check_circle Ensure data quality, normalization, and anomaly detection
- check_circle Support AI image analysis use cases:
- check_circle Collaborate on pipelines using computer vision outputs and ML inference
- check_circle Support model training, validation, and runtime invocation within cloud native platforms
- check_circle Work with DevOps and AI teams on:
- check_circle Provide inputs for MLOps / LLMOps pipelines and governance dashboards
Basic qualifications
- Strong foundation in Data Science, Machine Learning, and Statistics
- Hands on experience with:
- Experience building regression and calibration models
- Strong understanding of model evaluation metrics
- Experience working with large, complex enterprise datasets
- Ability to explain model outputs in business friendly language
Preferred qualifications
- Exposure to GenAI / LLM enabled systems
- Experience with RAG pipelines and vector search concepts
- Familiarity with computer vision outputs and non text data analysis
- Experience in utilities, infrastructure, or regulated industries
- Understanding of AI governance, explainability, and auditability
Benefits
- check_circle Discretionary Annual Incentive.
- check_circle Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- check_circle Family Support: Maternal & Parental Leaves.
- check_circle Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- check_circle Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- check_circle Time Off: Vacation, Time Off, Sick Leave & Holidays.
- check_circle Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Tags & Focus Areas
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Join Tata Consultancy Services (TCS) and help shape the future of AI.
Save for laterAbout Tata Consultancy Services (TCS)
Programming Languages & Ecosystems Mathematical & Statistical Concepts Machine Learning & Deep Learning Data Wrangling & Database Management Data Visualization & Storytelling Cloud Platforms & Services Big Data Technologies Natural Language Processing (NLP) MLOps (Machine Learning Operations) & Software Engineering Practices Data Governance & Ethics Experimentation & A/B Testing Locations: San Jose-CA, RTP-NC, Austin-TX, Dallas-TX.
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