[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Marsh jobs](https://jobs.opennash.com/companies/marsh/) · [Search jobs](/search/) Marsh # Data Science - Administrator Full-time Data & Analytics Listed on Marsh’s official careers site. Posted October 30, 2026. Check that it is still open and apply there. [Apply on Marsh’s careers site →](https://mmc.wd1.myworkdayjobs.com/MMC/job/Gurugram---DLF-Building/Data-Science---Administrator_R_365134-1) [OpenNash Jobs](https://jobs.opennash.com/) / [Marsh](https://jobs.opennash.com/companies/marsh/) / Data Science - Administrator ## Job description ### Company Marsh Description: - Strong software engineering fundamentals in Python — including writing clean, modular, testable code and designing maintainable codebases/architectures, not just scripting models - Proven experience building and deploying ML/GenAI solutions end-to-end — from model/prompt design through to production deployment, using frameworks such as scikit-learn, TensorFlow, or PyTorch Deep knowledge of LLMs and generative AI, including prompt engineering, retrieval-augmented generation (RAG), embeddings, and vector databases Experience designing and building AI agents and automation workflows (not just calling APIs — architecting multi-step, tool-using systems) Backend and API development experience, with the ability to integrate AI models cleanly into existing products and services Cloud platform experience (Azure and/or AWS) and comfort deploying containerized workloads (Docker/Kubernetes) at scale - Solid grasp of the full ML lifecycle: data preprocessing, model evaluation, monitoring, and deployment — with an eye toward reliability and scalability in production, not just notebook experimentation Git and standard version control practices ### Strongly Preferred - Familiarity with MLOps tooling and practices (CI/CD for ML, model versioning, monitoring/observability) Experience with data pipelines and ETL processes, and working with both structured and unstructured data Understanding of responsible AI, privacy, and security practices in AI systems Experience with MCP (Model Context Protocol) tools or similar emerging agent-tooling standards ### What You'll Do Architect and build AI-powered applications and services designed to scale beyond a proof of concept Fine-tune and productionize ML/GenAI models, integrating them into existing products, workflows, and APIs - Design retrieval-augmented generation and agent-based workflows for real business use cases - Make sound engineering trade-offs on system design, performance, and maintainability as usage grows ### Soft Skills - Strong problem-solving and communication skills; able to explain technical trade-offs to non-technical stakeholders Comfortable owning ambiguous problems and working independently in a fast-paced environment Collaborative — works well across engineering, data science, and product teams Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X. Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. ## At a glance - Posted by the employer: Oct 30, 2026 - First seen by OpenNash: Nov 1, 2026 - Last checked: Nov 1, 2026 - Listed for: 2 days - Employment type: Full-time[Apply on Marsh’s careers site →](https://mmc.wd1.myworkdayjobs.com/MMC/job/Gurugram---DLF-Building/Data-Science---Administrator_R_365134-1) ## Hiring at Marsh - Open jobs: 2,007 - New in the last 7 days: After two weekly collections - Tracked since: Jul 10, 2026 [All Marsh jobs](https://jobs.opennash.com/companies/marsh/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Marsh ### [Associate Director – Digital Media & Graphic Design](https://jobs.opennash.com/companies/marsh/jobs/652633c836a66e7b859a/) ### [Director - Investments](https://jobs.opennash.com/companies/marsh/jobs/551a1a6e21431d78afe0/) ### [Senior Manager - Investment](https://jobs.opennash.com/companies/marsh/jobs/ce6647308f9fc52c6be5/) ### [Senior Specialist - Research](https://jobs.opennash.com/companies/marsh/jobs/12bd836ce88ab4a277df/) ### [Specialist](https://jobs.opennash.com/companies/marsh/jobs/7416c3ffad142f1592ba/) ## Similar jobs at other companies ### [BIU:Data Science-Alternate Data](https://jobs.opennash.com/companies/axis-bank/jobs/318ebdc31d9b45182350/) Axis Bank · Mumbai ### [S&C GN - Data&AI - Resources - Data Science Manager](https://jobs.opennash.com/companies/accenture/jobs/410a730c3b8aa8d69258/) Accenture ### [EAIG:Head - Data Science](https://jobs.opennash.com/companies/axis-bank/jobs/e2e33c70c40e79554dce/) Axis Bank · Bangalore ### [Data Science Supervisor](https://jobs.opennash.com/companies/cardinal-health/jobs/9cec10243cd125cb9f3b/) Cardinal Health · Bangalore, KA ### [Data Science INTERN](https://jobs.opennash.com/companies/microsoft/jobs/e0ef48d38765babaebb7/) Microsoft · Israel, Tel Aviv, Herzliya OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)