Data Scientist GenAI and Intelligent Automation

Must Have Technical/Functional Skill

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.

Roles & Responsibilities

Key Responsibilities

Machine Learning & Predictive Modeling

• Design and develop ML models
• Build and tune models using XGBoost, Random Forest, scikit learn, and related frameworks
• Evaluate model performance using MAE, RMSE, R², and error distribution analysis

GenAI & Agent Driven AI

• Collaborate with AI Engineers to embed ML models into GenAI driven, multi agent workflows
• Work with RAG pipelines for document intelligence and contextual Q&A
• Enable human readable explanations for predictions and recommendations

Data Engineering & Feature Development

• Analyze structured and unstructured datasets from historical estimates, actual costs, documents, and images
• Perform feature engineering from:

o SAP/EES data

o Historical project attributes

o Regulatory and standards documentation

• Ensure data quality, normalization, and anomaly detection

Image & Non Text Analytics (Preferred)

• Support AI image analysis use cases:

o Classification and attribute extraction from site photos and drawings

o Compliance signals against engineering standards

• Collaborate on pipelines using computer vision outputs and ML inference

MLOps & Model Lifecycle

• Support model training, validation, and runtime invocation within cloud native platforms
• Work with DevOps and AI teams on:

o Model versioning and reproducibility

o Monitoring for drift, bias, and performance degradation

• Provide inputs for MLOps / LLMOps pipelines and governance dashboards

Required Skills & Experience

• Strong foundation in Data Science, Machine Learning, and Statistics
• Hands on experience with:

o Python

o scikit learn, XGBoost

o Data analysis libraries (NumPy, Pandas)

• Experience building regression and calibrati on models
• Strong understanding of model evaluation metrics
• Experience working with large, complex enterprise datasets
• Ability to explain model outputs in business friendly language

Preferred Skills

• 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

Salary Range: $160,000-$180,000 a year

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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