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Sr Data Scientist

Moody's
CompanyMoody's
CategoryData & Analytics
LocationBengaluru / Bangalore, Karnataka
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryINR 1100k
Posted8 Aug 2026
Last verified12 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
At Moodys, we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, were advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.Skills and CompetenciesExperience in data science, data engineering, machine learning, financial analytics, digital assets, capital markets or risk analyticsStrong understanding of structured and unstructured data, including on-chain and off-chain data sourcesExperience developing and deploying scalable data, analytics or artificial intelligence and/or machine learning capabilities that support business, analytical or strategic objectivesExperience working with APIs, data services and integration frameworks to ingest, enrich and operationalize data within analytical workflows and technology platforms.Working knowledge of artificial intelligence, machine learning and advanced analytics, with the ability to apply these techniques in financial, analytical or market-facing contextsAbility to translate complex digital asset, market and analytical concepts into quantitative insights and scalable data capabilitiesStrong programming, data engineering, data modeling and analytical problem-solving skills, including experience with large and complex datasetsExperience operating in cross-functional environments and partnering with business, analytical, technology and data stakeholders to deliver complex initiativesDemonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows, enhance operational efficiency and support responsible and ethical AI useEducationBachelors degree or equivalent relevant experience in data science, computer science, engineering, finance, economics, statistics, mathematics or a related fieldResponsibilitiesBuild data, analytics and AI capabilities that strengthen digital asset insight and market readinessSupport the development of scalable data capabilities that enhance Moodys Ratings ability to analyze digital assets, tokenized instruments and emerging market infrastructureIdentify, structure and integrate digital asset, market infrastructure and ecosystem data sources to improve accessibility, quality and usabilityPartner with technology, analytical, external data and industry stakeholders to strengthen data processes that support business priorities and long-term capability developmentDevelop and refine analytical models, data pipelines and tools that transform complex digital asset data into actionable insights.Develop analytical approaches to interpret complex digital asset, tokenization and market infrastructure dataConvert structured and unstructured data into insights that support strategic decision-making and analytical preparednessApply quantitative techniques to identify patterns, trends and risk-relevant signals across digital financial marketsExplore artificial intelligence, machine learning and advanced analytics opportunities to improve data processing, insight generation, scalability and business efficiencyCollaborate with technology, architecture and business teams to integrate data, analytics and AI capabilities into products, platforms and operational workflows.Translate technical insights into practical recommendations that inform roadmap discussions, investment decisions and strategic planningAbout The TeamOur Digital Economy team within Moodys Ratings supports the firms strategy for innovative technologies including digital assets, tokenization, decentralized finance, stablecoins, on-chain infrastructure and data-driven innovation. The team works across analytical, technology, risk oversight, commercial and operational functions to develop scalable capabilities that help Moodys Ratings understand, assess, ingest and deliver credit-relevant insights in digital financial markets. By joining the team, you will contribute to data science work at the intersection of blockchain networks, stablecoins, artificial intelligence and capital markets, while supporting responsible adoption of artificial intelligence and advanced analytics to strengthen workflows, decision-making and business readiness.Moodys is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.Candidates for Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.