IJP - Senior Manager - Data Science

Marsh; Gurugram District; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

Marsh is seeking a Senior Manager - Data Science to lead advanced analytics initiatives in a hybrid Mumbai role. You will drive data strategy, build robust pipelines, and collaborate with cross-functional teams to translate insights into business value.

The role requires 8-12 years of Python development, strong data engineering expertise, and experience with AI/ML tools. You will mentor junior developers, implement scalable architectures, and ensure data integrity across platforms.

Qualifications

• Bachelor’s degree in Engineering, Analytics, or a related field.
• 8-12 years of Python development experience.
• Experience building data pipelines and ETL processes.

Responsibilities

• Identify opportunities to add business value and improve processes.
• Collaborate with stakeholders across levels to align analyses with objectives.
• Design, develop, and maintain data pipelines for ETL from diverse sources.
• Automate data extraction and loading from PDFs and APIs.
• Develop scripts to extract data from PDFs using Python.
• Build scalable data storage and integrate with existing systems.
• Create dashboards to visualize KPIs, projections, and history.

Skills

Stakeholder management

Leadership

Project management

Communication

Mentorship

Education

Bachelor’s degree in Engineering/Analytics/related field

MBA

Tools

Python

Pandas

NumPy

PySpark

Camelot

AWS/Azure/Google Cloud

Job description

Company:

Marsh

Description:

We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.

Role: Senior Manager - Data Science

Location : Mumbai

Number of Roles : 1

Last Date to Apply : 16th June 26

We will count on you to:

• Identify opportunities which add value to the business and make the process more efficient.
• Have the ability to work with colleagues and stakeholders across levels, understand business objectives and make sure all analysis and findings are aligned to those business objectives.
• Invest in understand the core business including products, process, documents, and data points with the objective of identifying efficiency and value addition opportunities.
• Gather, analyze, and model data using analytical tools and techniques to develop business insights to drive decisions
• Design, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources.
• Automate data extraction, transformation, and loading (ETL) from various sources, including PDFs and APIs.
• As the operational scales up design and implement scalable data storage solutions and integrate them with existing systems.
• Develop scripts and applications to extract and process data from PDF documents using Python.
• Collaborate with data scientists and analysts to optimize data workflows and improve data accessibility.
• Write efficient, reusable, and testable code to support data processing needs.
• Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing.
• Perform data extraction from multiple data sources and ensure data integrity and accuracy.
• Utilize AI/ML models and tools, including Large Language Models (LLM) and Generative AI, to enhance data processing capabilities.
• Design scalable and reliable system architectures to support data-intensive applications.
• Implement and maintain security and data protection solutions.
• Conduct code reviews and provide mentorship to junior developers.
• Stay up-to-date with the latest technology trends and best practices in data engineering and cloud services.
• Develop dynamic dashboards that provide insights and visualization into performance relative to KPIs, projections, and historical performance.
• Use technical skills to gather and work with large volumes of data using the most suitable technology.
• Institutionalize data quality check mechanisms in the data gathering and analysis phases.
• Develop scalable solutions for automations of reports.
• Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues.
• Be responsible for the professional development of your projects and institute a succession plan.

What you need to have:

• Bachelor’s degree in Engineering, Analytics, or a related field, MBA, Computer Applications, IT, Business Analytics, or any discipline.
• Proven experience of 8-12 years in Python development
• Proven experience with data automation and building data pipelines.
• Proven track record in building and maintaining data pipelines and ETL processes.
• Hands-on experience with AI/ML models and tools.
• Strong knowledge of Python libraries such as Pandas, NumPy, and PySpark, Camelot.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
• Proficiency in extracting data from various sources, including APIs and PDFs.
• Familiarity with database management systems (SQL and NoSQL databases).
• Experience in designing and implementing system architecture.
• Ability to operate in a multi layered technology architecture and shape the technology maturity of the organization.
• Solid understanding of software development best practices, including version control (Git), code reviews, and testing frameworks (PyTest, UnitTest).
• Strong attention to detail and ability to work with complex data sets.
• Effective communication skills to present findings and insights to both technical and non-technical stakeholders. Specify superior listening, verbal and written communication skills
• Excellent project management and organization skills
• Superlative stakeholder management skills – ability to positively influence stakeholders.
• Synthesis skills- Ability to connect the dots and answer the business question.
• Excellent problem-solving, structuring and critical-thinking skills.
• Ability to work independently and collaboratively in a fast-paced environment

Eligibility

• Minimum 12 months experience as Manager (D2) / Senior Manager(E)
• Should have at least “On-Track” or equivalent rating in last appraisal.
• Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months.
• Should not have applied for any other IJP in the last 3 months

Disclaimer

• Candidates who wish to apply for inter-location positions are required to check with the Transport Help Desk (THD) to confirm if their place of residence is within the served transport service zone
• Mention your employee id and official email address in the resume

What makes you stand out?

• Master’s degree in Computer Science, Engineering, or related fields.
• Experience in working with large-scale data sets and real-time data processing.
• Familiarity with additional programming languages like Java, C++, or R.
• Strong problem-solving skills and ability to work in a fast-paced environment

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 Risk is a business of Marsh (NYSE: MRSH), 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 about Marsh Risk, 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.