AI Solution lead

Tata Consultancy Services; Chennai District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Tata Consultancy Services in Chennai, Tamil Nadu, is seeking an experienced data science professional to drive analytics initiatives and ML-based insights. The role emphasizes strong statistical background, advanced Python skills, and the ability to translate complex analyses for non-technical stakeholders.

The ideal candidate will lead building and deploying data-driven solutions, work with large-scale multi-source data, and collaborate across cross-functional teams to deliver geo-coded

Qualifications

• 6+ years in applied data science, analytics or ML engineering.
• Strong math or statistics background with descriptive and probabilistic theory.
• Strong analytic and problem-solving skills for AI-driven data insights.
• Experience with audience analytics and geo-coded data is a plus.
• Strong SQL and large-scale data handling.
• Proficient with Git and collaborative workflows.
• Advanced Python (pandas, NumPy, scikit-learn, SciPy).
• Knowledge of model evaluation metrics (AUC, calibration) and gradient boosting methods.

Skills

Applied data science

Analytics

ML engineering

Statistics

SQL

Git

Python

Model evaluation

Gradient boosting

Power BI

Data governance

Cross-functional collaboration

Communication

Job description

Skills and Experience

• Work experience of 6+ years of experience in applied data science, analytics, or ML engineering.
• Strong math or statistics background, specifically strong grasp of descriptive and probabilistic theories, sampling.
• Strong analytic and problem-solving skills, understanding and experience in application of AI methodologies for data manipulation and insight.
• Experience in building and execution of advanced solutions for audience analytics and insights.
• Strong SQL skills and comfort working with large-scale, multi-source data.
• Experience with version control (Git) and collaborative coding workflows.
• Advanced Python skills, incl. pandas, Numpy, scikit-learn, SciPy, stats models for modelling and analytics.
• Solid understanding of predictive modelling, feature selection, and model evaluation (AUC, lift, calibration, etc.).
• Experience with gradient boosting methods (xgboost, lightgbm, or cat boost).
• Experience with Power BI or other data visualization tools especially geo coded data is a big plus.
• Sufficient knowledge of data governance practices including data QA, general naming taxonomy, data & platform integration, etc.
• Ability to foster collaborative relationships with cross-functional team.
• Excellent written, oral, and presentation communication.
• Ability to communicate analytical findings to non-technical stakeholders clearly and impactfully.