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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 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 agile 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: - Bachelors 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 What makes you stand out - Master s degree in Computer Science, Engineering, or related fields. .