Principal Engineer - Data Science

Company:Marsh

Description:

Marsh is seeking candidates for the following position based in the Mumbai office for their Marsh US Risk practices and Specialty teams:

Senior Specialist - Data Science

What 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?

·As 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. ·Joining us will provide a solid foundation for you to accelerate your career in the risk and insurance industry. ·You 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. ·We can promise you extraordinary challenges, extraordinary colleagues, and the opportunity to make a difference.·Our rich history has created a client service culture that we believe is second to none. Our commitments to Diversity and Inclusion, Corporate Social Responsibility, 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:

• Develop and maintain robust data pipelines for ETL processes.
• Automate data extraction, transformation, and loading (ETL) from various sources, including PDFs and APIs.
• Write efficient, reusable, and testable code to support data processing needs.
• 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.
• 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.
• Institutionalize data quality check mechanisms in the data gathering and analysis phases.
• Develop scalable solutions for automations of reports.
• Crete automated data pipelines from multiple sources and generate insights through descriptive analysis that can will help in understanding retention, claim, churn, new opportunity, etc.
• 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.
• Implement and maintain security and data protection solutions.
• Conduct code reviews and provide mentorship to junior developers.
• Collaborate with data scientists and analysts to optimize data workflows and improve data accessibility.

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 18-24 months of professional experience in Python development.
• Proven experience with data automation and building data pipelines.
• Strong knowledge of Python libraries such as Pandas, NumPy, and PySpark.
• 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).
• Solid understanding of software development best practices, including version control (Git), code reviews, and testing frameworks (PyTest, UnitTest).
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication skills and the ability to work collaboratively in a team setting.
• 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 problem-solving, structuring and critical-thinking skills.
• Ability to work independently and collaboratively in a fast-paced environment.

What makes you stand out?

• Experience with machine learning frameworks and libraries.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Experience in working with large-scale data sets and real-time data processing.

Marsh is the world’s 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 Marsh McLennan (NYSE: MMC), the world’s 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: Marsh, Guy Carpenter, Mercer, and Oliver Wyman. For more information, visit marshmclennan.com, follow us on LinkedIn and X.

Marsh 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