Senior Data Science Consultant

Overview

Lead or participate in moderately complex data science initiatives, using advanced analytical and statistical techniques to generate actionable insights and recommendations for business decisions.

What you'll do

• Lead or participate in moderately complex initiatives and deliverables by utilizing data-driven, advanced analytical and statistical techniques, algorithms, or models to generate actionable insights, identify trends, provide recommendations, or contribute to large-scale planning with broader impact.
• Review and analyze moderately complex, large structured and unstructured datasets from various sources, requiring in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations.
• Independently analyze and resolve moderately complex issues and lead the team to meet deliverables while leveraging a solid understanding of analytical capabilities.
• Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that help resolve issues and achieve goals; may lead projects or teams or serve as a mentor to lower-level staff.
• Execute analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains.
• Interpret and analyze data using advanced analytics, modeling methods, and programming to recommend solutions to problems and influence business decisions and strategies.
• Communicate actionable insights and recommendations using data in a clear and digestible format to non-technical audiences at varying levels.

What you'll need

• 4+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
• 4+ years of experience in Data Analytics, Insight Generation, Automation, Data Visualization, and Data Science.
• 3 years of experience working in large banks or financial services organizations, translating business problems into actionable insights, with demonstrable experience delivering strategic insights and recommendations.

Nice to have

• Bachelor's degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics, computer science, or business, social, and behavioral sciences with a quantitative emphasis.
• Experience in data analysis, data extraction, and data manipulation.
• Strong programming and data skills in Python, PySpark, and SQL, with experience working with large datasets.
• Good to have knowledge of cloud-based environments such as GCP, Azure, and AWS.
• Proficiency in BI tools such as Power BI and Tableau.
• Proficiency in statistical fundamentals and basic modeling concepts, including linear and logistic regression.
• Familiarity with Generative AI concepts, including LLMs, embeddings, and prompt-based systems, for awareness and future collaboration.
• Highly effective communication skills, with the ability to convey results, concepts, issues, and challenges to partners, peers, and non-technical marketing/business audiences through executive-ready presentations.
• Organized and proactive, with the ability to manage tasks in a dynamic environment and handle multiple priorities.

Details

• Location: Bengaluru, India.
• Posting end date: 3 Nov 2026.