Job Profile: Senior Manager - Data Science

MMC Business Unit: Marsh
MMGS Function: Knowledge Services


Marsh
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 Details

This 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 consults with clients and colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading analytics-based tools.

Responsibilities

Develops modeling approaches for implementing new, market-leading analytics-based tools to understand and address risk
Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds Machine Learning models, and finalizes with results that unlock insight for clients and colleagues
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
Stays current with ongoing research in the field and brings new approaches to the team
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

We will count on you to

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
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

Qualifications

Masters Degree in Math, Statistics, Data Science, Actuarial Science or related field
Expert statistical modeling knowledge, including familiarity with machine learning techniques
Ability to face difficult and sometimes complex problems
Ability to influence others within and outside of the job function regarding approach and procedures
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
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




Eligibility: (to put after what you need to have)
Last Date to Apply : 13th Feb 2024
Minimum 12 months experience in current role/ position.
Should have at least On track or equivalent rating in last appraisal
Should not be under any Performance Continuity Plan, or had any official Disciplinary action within the last 3 months
Should not have applied for any other IJP within MMGS in the last 3 months