Job Description

Company: MarshDescription:Marsh is seeking candidates for the following position based in the Mumbai office for their Marsh US Risk practices and Specialty teams:Senior Manager - Data ScienceWhat can you expect?

• Be a part of the team that is core to driving analytics for impactful business outcomes.
• A vibrant and collaborative community of professionals across capabilities such as data management, data analytics, data visualization, data science, business intelligence and many others.
• An open, inclusive and meritocratic environment with an emphasis on innovation and solving business problems.
• Collaborative approach to work, in order to work with global setup with multiple stakeholders.
• Be a part and work with multi-cultural teams

What is in it for you?\xc2\xb7As a global leader in insurance broking and risk management, we are devoted to finding diverse individuals who are committed to the success of our clients and our organization.\xc2\xb7Joining us will provide a solid foundation for you to accelerate your career in the risk and insurance industry.\xc2\xb7You will join a team of talented professionals from across the globe which is dedicated to helping clients manage some of the world's most challenging and complex risks.\xc2\xb7We can promise you extraordinary challenges, extraordinary colleagues, and the opportunity to make a difference.\xc2\xb7Our rich history has created a client service culture that we believe is second to none. Our commitments to , , and sustainability demonstrate our commitment to stand for what is right.As a Marsh and McLennan Company colleague, you will also receive additional benefits such as:

• A competitive salary
• Employee friendly policies
• Health care and insurance for you and your dependents
• Healthy Work life balance
• A great working environment
• Flexible benefits packages to suit your needs and lifestyle.
• Future career opportunities across a global organization

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.

What makes you stand out?

• Masters 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.

is the worlds leading insurance broker and risk adviser. With more than 45,000 colleagues advising clients in over 130 countries, Marsh serves commercial and individual clients with data-driven risk solutions and advisory services. Marsh is a business of (NYSE: MMC), the worlds leading professional services firm in the areas of risk, strategy and people. With annual revenue of $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses: , , , and . For more information, visit , follow us on andMarsh McLennan 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 McLennan 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 McLennan 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

Marsh McLennan