Job Description

Company: MarshDescription:Marsh McLennan Global Services (MMGS) India is seeking candidates for the following position based in the Mumbai office:Job Profile: Lead Specia - Data ScienceMMC Business Unit: MarshMMGS Function: Knowledge ServicesMarsh is a global leader in insurance broking and risk management. In more than 130 countries, our experts in every facet of risk and across industries help clients to anticipate, quantify, and more fully understand the range of risks they face.Marsh Advisory is the consultative branch of Marsh, provides solutions in the increasing needs of our clients to implement risk management programs within their organization. Marsh Advisory helps companies to change their risk profiles so they can improve resiliency, reduce claims, and minimize the total cost of risk. Businesses today regularly tackle multiple challenges, whether facing property and casualty, cyber, pandemic, ERM / BCP / BCM, climate change, supply chain, reputational, or other risks, Marsh Advisory can help.MMGS is a global knowledge center for Marsh McLennan and houses teams, which work closely with the colleagues across various operating units and locations. The Knowledge Services function under MMGS aims to provide specialized services in the domain of Research, Consulting, Data Analytics, Data Science, Actuarial and Design.This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Incumbent is expected to be an expert of Data Science algorithms, Business Analytics and Data Manipulation. Expertise in Python and SQL is a must. Experience with Insurance or Banking industry is a plus.Position DetailsThis position is for an individual contributor in Data Science, who will develop and implement models using leading-edge techniques in machine learning, predictive modeling, artificial intelligence, and natural language processing as applied in commercial insurance and risk management. This position will also be using their JavaScript knowledge to develop front end applications and deploy the solutions on traditional and cloud servers. This position consults with clients and colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading analytics-based tools.Responsibilities

• Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization
• Demonstrates JavaScript capabilities to develop front end web based tool
• Develops APIs and deploys them on traditional servers
• Demonstrates excellent knowledge in writing complex SQL queries and integratin
• Serves as an internal expert resource and champion for data science within Marsh and MMC
• Coaches team members on the delivery of analytics-based tools and analyses and presentation of findings

• 5-7 years of experience in the field of Data Science, Data Engineering or similar field
• Explore and understand business nuances and help drive business strategies
• Mine and analyze data to drive optimization and implement business strategies
• Build machine learning algorithms based on the business ask
• Deploy API on the platform by understanding the technical ask
• Build and deploy front end web applications
• Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development
• 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 clients risk areas and prepare a point of view for consulting

• BE/B. Tech/MCA/MSc Computer Science and other programing related education
• Expert statistical modeling knowledge, including familiarity with machine learning techniques
• Ability to face difficult and sometimes complex problems
• Ability to develop strong internal/external client oriented solutions
• Superior detail orientation, excellent communication and interpersonal skills
• Knowledge of modern programming languages such as Python, including NumPy, TensorFlow, SQL, and PyTorch
• Knowledge of Javascript
• Knowledge of web frameworks like Flask, Django, FastAPI etc
• Knowledge of SQL

• 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

Marsh McLennan