Lead Data Scientist

Tata Consultancy Services; Hyderabad, Chennai District, Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Tata Consultancy Services is seeking an experienced data science professional to advance analytics initiatives in a collaborative, cross-functional team. You will leverage statistics, ML, and visualization to deliver impactful insights and data-driven decisions across business units.

The role emphasizes strong communication, governance, and scalable analytics solutions with tools like Power BI and Python-based modelling.

Qualifications

• 7+ years of experience in applied data science, analytics, or ML engineering.
• Strong math or statistics background with descriptive and probabilistic theory.
• Strong analytical/problem-solving skills applying AI for data insights.
• Experience building analytics solutions for audience analytics.
• Strong SQL with large-scale multi-source data.
• Experience with Git and collaborative coding workflows.
• Advanced Python skills: pandas, numpy, scikit-learn, scipy, statsmodels.
• Experience with gradient boosting methods like XGBoost/LightGBM/CatBoost.
• Knowledge of data governance, QA, taxonomy, data & platform integration.
• Ability to communicate findings to non-technical stakeholders.

Responsibilities

• Translate data insights into actionable business recommendations.
• Collaborate with cross-functional teams to implement analytics solutions.
• Present analytical findings clearly to stakeholders.

Skills

Statistics

ML engineering

SQL

Python (pandas, numpy)

Descriptive statistics

Probabilistic theory

Gradient boosting

Data visualization

Git

Cross-functional collaboration

Education

Bachelor's or advanced degree in Statistics/Economics/Math/Sciences

Tools

Power BI

Job description

• Bachelors or advanced degree in Statistics, Economics, Business, Math, or Sciences is preferred.
• Work experience of 7+ 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, statsmodels 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 catboost).
• 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.