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Marsh McLennan

Manager - Data Science

Posted 19 Hours Ago
Be an Early Applicant
Hiranandani Gardens, Mumbai Suburban, Mahārāshtra
Mid level
Hiranandani Gardens, Mumbai Suburban, Mahārāshtra
Mid level
As a Data Science Manager at Marsh, you will analyze data to improve business strategies, build machine learning algorithms, deploy APIs, and utilize risk models. You will also engage in client research and collaboration, needing strong communication skills and expertise in statistical modeling.
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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:

  • Mine and analyze data to drive optimization and implement business strategies using Python, SQL, VBA and other Data Science related tools
  • Build machine learning algorithms based on the business ask
  • Deploy API on the platform by understanding the technical ask
  • Utilize risk models related to Time Series Forecasting, Clustering, GLM/Regression, Boosting, Trees, etc.
  • Use advanced analytics to augment consulting deliverables with data backed outputs
  • Conduct research on the client’s risk areas and prepare a point of view for consulting.

What you need to have: 

  • 3-6 years of experience in the field of Data Science, Data Engineering or similar field
  • Master’s Degree in Math, Statistics, Data Science, Computer Science or related field
  • Expert statistical modeling knowledge, including familiarity with machine learning techniques
  • Superior detail orientation, excellent communication and interpersonal skills
  • Knowledge of programming languages such as Python, including NumPy, TensorFlow, SQL, and PyTorch
  • R or VBA may be helpful but not required

What makes you stand out?

  • Understanding of insurance and risk management
  • Knowledge and demonstrated experience of advance NLP and computer vision
  • Experience of building data visualization in Plotly/Dash/D3.js
  • Hands on experience with stochastic or econometric modelling

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 McLennan (NYSE: MMC) 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 marshmclennan.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.



Top Skills

Python
SQL

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