Gallagher—Senior Data Scientist

Job description

Description: Introduction Welcome to Gallagher in India — where expertise, technology, and purpose come together. Since 2006, Gallagher in India has supported global teams by delivering quality, service, and speed through deep expertise, smart technology, and specialized knowledge services. More than just an operations center, it’s a place where careers grow through collaboration, continuous learning, and purposeful work. We drive efficiency, compliance, and innovation so our teams can focus on serving clients. If you enjoy solving problems and working with purpose, Gallagher is the place where you can grow and feel a sense of belonging. Overview Gallagher Center of Excellence is seeking a Data Scientist to join the analytics vertical. In this role, you will be part of a data science team focused on preparing and analyzing data, contributing to model development, and helping deploy analytic solutions. This position is ideal for candidates with basic to intermediate knowledge of statistical methods, machine learning concepts, and programming who are ready to apply and expand their skills in a supportive technical environment. How you'll make an impact Responsibilities: Clean and preprocess raw datasets to address missing values, outliers, and inconsistencies, ensuring a solid foundation for analysis. Perform exploratory data analysis (EDA) to uncover trends, distributions, and anomalies using summary statistics and visualizations. Assist in feature engineering by creating, transforming, and encoding variables to improve model inputs and capture domain insights. Build and validate baseline predictive models (e.g., linear regression, logistic regression, decision trees) to establish performance benchmarks. Calculate and interpret evaluation metrics (RMSE, accuracy, precision, recall) to compare model outputs and guide further tuning. Develop clear, concise data visualizations and dashboards (using Matplotlib, Seaborn, or Tableau) to communicate findings to internal teams. Maintain reproducible analysis pipelines with version control (Git), modular code structure, and automated scripts. Monitor and troubleshoot data ingestion and ETL processes to ensure timely, high-quality data availability for analytics tasks. Document data sources, transformation steps, model assumptions, and validation results to support transparency and knowledge sharing. Stay up to date with emerging data science tools and techniques, experimenting in sandbox environments and sharing learnings with peers. About you Qualifications: Preferred Degree: Bachelor’s / Master’s Degree in Statistics / Applied Math/Stats Experience: 2- 4 years in data science, analytics, or quantitative modeling roles, contributing to data preparation, exploratory analysis, and basic machine-learning model development; familiarity with insurance brokerage or related financial services is a plus. Basic statistical concepts and introductory machine-learning methods (linear regression, logistic regression, decision trees). Proficiency in Python and SQL for data manipulation, analysis, and simple model building. Hands-on experience with data cleansing and preprocessing using libraries such as pandas or NumPy. Working knowledge of version control (Git) and best practices for writing reproducible, well-documented code. Strong analytical mindset, attention to detail, and clear written and verbal communication skills for summarizing findings Additional Information At Gallagher, we believe supporting our colleagues goes far beyond the role itself. For more information, visit our Benefits page. Competitive compensation Comprehensive benefits programs designed to support your well-being Career development opportunities and ongoing learning A collaborative, people-first culture with accessible leadership The opportunity to do meaningful work with global reach and local impact At Gallagher, we are dedicated to building an inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to join our Talent Community to stay connected to additional career opportunities. At times, we will consider transferable skills from previous roles. Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled) Responsibilities: Responsibilities: Clean and preprocess raw datasets to address missing values, outliers, and inconsistencies, ensuring a solid foundation for analysis. Perform exploratory data analysis (EDA) to uncover trends, distributions, and anomalies using summary statistics and visualizations. Assist in feature engineering by creating, transforming, and encoding variables to improve model inputs and capture domain insights. Build and validate baseline predictive models (e.g., linear regression, logistic regression, decision trees) to establish performance benchmarks. Calculate and interpret evaluation metrics (RMSE, accuracy, precision, recall) to compare model outputs and guide further tuning. Develop clear, concise data visualizations and dashboards (using Matplotlib, Seaborn, or Tableau) to communicate findings to internal teams. Maintain reproducible analysis pipelines with version control (Git), modular code structure, and automated scripts. Monitor and troubleshoot data ingestion and ETL processes to ensure timely, high-quality data availability for analytics tasks. Document data sources, transformation steps, model assumptions, and validation results to support transparency and knowledge sharing. Stay up to date with emerging data science tools and techniques, experimenting in sandbox environments and sharing learnings with peers.