Plotly Dash Skills: Experience of building data visualization in Plotly/Dash.
Company: Mercer
Title: Senior Manager, Data Science
Category: Full Time
Location: India
Experience: Senior-level
Application: Link to apply
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,