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

We will count on you to have the following skills and experience:

Data Science:

• Assembling large, complex sets of data Identifying, implementing internal process improvements including optimizing data delivery and automating manual processes 
• Expert in building data science models using techniques like Linear Regression, Logistic Regression, Cluster analysis, Tree Classification etc.
• Ability to leverage AI/Chat GPT and machine learning techniques to build analytical solutions for UK & I Placement
• Develop a strong understanding of the UK & I placement process to come up with advanced analysis and ways to optimize the business

Data Structure Understanding:

• Strong grasp of data modeling concepts and principles.
• Understanding and working with complex data structures.

 Problem-Solving and Analytical Skills:

• Ability to tackle complex data problems and develop innovative solutions.
• Strong analytical and critical thinking skills to identify patterns, trends, and insights in large datasets.
• Capacity to troubleshoot data issues and perform root cause analysis.
• Deep understanding of the program structure and calculations around the rate changes, deductibles, limits and market participation in Placement

Soft Skills:

• Understanding requirements, excellent communication skills and stakeholder management are crucial skills.

What you need to have: 

• Bachelor’s degree in Statistics/Mathematics/Economics/ Engineering discipline
• Data skills - Advanced formulae, advanced pivot tables, selecting and creating charts etc. to enable analysis of data in Excel, SQL/Oracle for data extraction from EDWH
• Strong coding skills in R or Python, ability to improve and optimize models using statistical parameters
• Strong verbal and written communication skills to communicate and partner with stakeholders
• Ability to understand business objectives and make sure any analysis and findings are aligned to those business objectives
• Keenness and urgency to learn about the Marsh and the business unit’s business, and insurance industry in general

What makes you stand out?

• Understanding of insurance industry terminology, data models, and business processes.
• Knowledge of insurance-specific data requirements, such as policy information, claims data, underwriting data, etc.
• Ability to examine data critically and identify analyses and synthesize trends out of them
• Ability to take initiatives to strive for improvement in analytics techniques, process and output.

Why join our team:                                                          

• Your contributions will impact strategic decision-making and business performance.
• 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, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow 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.