Data Science Manager

Manager - Data Science

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 quality standards
• Solid experience with PostgreSQL and MongoDB
• Experience with workflow orchestration tools such as Airflow, Dagster, or equivalent
• Strong software engineering and backend development fundamentals
• Experience with Docker, containerized deployments, CI/CD pipelines, and GitHub
• Strong working knowledge of SQL, Linux, and modern engineering workflows
• Excellent communication skills, with the ability to clearly articulate: business context and problem statements solution design and implementation approach individual technical contributions

What makes you stand out?

• Candidates must possess full professional proficiency in both written and spoken English
• Strong problem-solving and troubleshooting skills.
• Strong communicator, in both verbal and written form, able to articulate concepts and ideas, break through barriers, engage people, and work effectively with others under pressure.
• Neutral toward technology, vendor, and product choices more interested in results than in personal preferences.
• Unflappable in the face of opposition to ideas
• Experience with Databricks ETL development
• Exposure to DevOps practices and building site reliability metrics (SRE)
• Prior experience in the financial services domain
• Experience using AI‑assisted development tools

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

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 corporate.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.

Experience Level

Mid Level