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Gallagher in India is seeking a Data Scientist to join the analytics vertical. You will prepare and analyze data, contribute to model development, and help deploy analytic solutions in a supportive technical environment.
Ideal candidates have 2–4 years of data science experience, familiarity with Python and SQL, and a hands-on approach to preprocessing, EDA, and basic ML modeling. Join a collaborative team and grow your career with purpose.
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.
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.
Responsibilities:
At Gallagher, we believe supporting our colleagues goes far beyond the role itself.For more information, visit our Benefits page.
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)