We are seeking a talented individual to join our Data Science (Global Energy Practice) team at Marsh Risk. 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.
Senior Manager - Data Science
This position is for an individual contributor in Data Science (Global Energy Practice), who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex NATCAT, financial and statistical analyses, and develops approaches for current, market-leading tools.
We will count on you to:
Hands on expertise in Python and data related packages such as pandas, numpy, matplotlib, streamlit etc.
Hands on data visualization tools such as Power BI, Qliksense, Tableau.
Experience with loss/exposure modeling, frequency – severity modeling
Deep understanding of natural catastrophe phenomena such as earthquake, floods, wildfire etc
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.
What you need to have:
Phd/Masters in field related to natural catastrophe, risk analytics, actuarial science or any deep risk related firlds
Bachelors degree in Engineering, Computer Science, Data Science, or related fields
8+ years of hands on experience in the field of Data Science, AI research
📌 Senior Manager (India)
🏢 Marsh
📍 India