Marsh Corporate
Manager-DataScience
Neural analysis suggests this role is
optimal for Mid candidates.
“Manager - Data Science at Marsh Corporate. Skills: Python, Data Engineering, APIs, ETL. Design Python APIs. Build Python APIs”
Industry & Context.
Problem-solving skills; Troubleshooting skills
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field., 3–4 years of full‑time, hands‑on experience in Python backend and/or data engineering roles, fundamentals of ML Algorithms and Statistical Models, proficiency in Python, real‑world experience building APIs using FastAPI, Proven experience in ETL development, data analysis, enforcing data quality standards, Solid experience with PostgreSQL and MongoDB, Experience with workflow orchestration tools such as Airflow, Dagster, or equivalent, software engineering and backend development fundamentals, Experience with Docker, containerized deployments, CI/CD pipelines, and GitHub, working knowledge of SQL, Linux, modern engineering workflows, Excellent communication skills
Nice to Have
Masters in AI/ML, Exposure to Agentic AI using LangChain and LangGraph Framework, Experience with Databricks ETL development, Exposure to DevOps practices, building site reliability metrics (SRE), Prior experience in the financial services domain, Experience using AI‑assisted development tools
What You'll Do.
Develop ETL pipelines
Support ETL pipelines
Operate data workflows
Contribute to backend architecture
Set code quality standards
Translate business requirements
Participate in Agile processes
How You'll Work.
Team & Collaboration
Collaborate with engineers; Collaborate with product partners; Collaborate with stakeholders; Work with others under pressure
Communication Scope
Excellent communication skills; Clearly articulate business context; Clearly articulate problem statements; Clearly articulate solution design; Clearly articulate implementation approach; Clearly articulate individual technical contributions; Full professional proficiency in English; Verbal communication; Written communication; Articulate concepts and ideas; Break through barriers; Engage people
Process & Methodology
Agile development processes, Sprint execution, Tracking using JIRA
Full Job Description
## Company: Marsh Corporate ## ## Description: We are seeking a talented individual to join our Tech Team(TE2A), a Marsh business]. This role will be based in Pune/Mumbai/Gurgaon/Noida. This is a hybrid role that has a requirement of working at least three days a week in the office. We are hiring a full‑time Software Developer with strong Python backend and data engineering experience to join a fast‑paced engineering team. This is an experienced individual‑contributor role (not junior), intended for engineers who are deeply hands‑on and capable of contributing quickly. The role does not require long tenure, but does require strong fundamentals, ownership mindset, and comfort working across APIs, data pipelines, and production systems. **We will count on you to:** * Design, build, and maintain scalable, production‑grade Python APIs using FastAPI * Develop and support Python‑based ETL pipelines, with a strong focus on data quality, validation, and analysis * Work with PostgreSQL and MongoDB for transactional and analytical use cases * Build and operate data workflows using Airflow, Dagster, or similar orchestration frameworks * Contribute to backend architecture, performance optimization, and code quality standards * Collaborate with engineers, product partners, and stakeholders to translate business requirements into technical solutions * Participate in Agile development processes, sprint execution, and tracking using JIRA **What you need to have:** * Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Preferred Bachelor’s or Masters in AI/ML * 3–4 years of full‑time, hands‑on experience in Python backend and/or data engineering roles * Strong fundamentals of ML Algorithms and Statistical Models * Exposure to Agentic AI using LangChain and LangGraph Framework * Strong proficiency in Python, with real‑world experience building APIs using FastAPI * Proven experience in ETL development, data analysis, and enforcing data qual
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