Posted:2 days ago|
Platform:
On-site
Full Time
Work towards developing skills for the larger Analytics team in predictive analytics area through coaching and training.
Work independently with clients, business development team and lead projects/relationship
Lead pilot projects for various existing clients under guidance of lead data scientist and ensure timely meeting of milestones.
Work with Project lead to develop advance analytical capabilities and assets
Apply standard and cutting-edge techniques (statistical modelling, Bayesian, data mining, predictive analytics, machine learning, text mining, segmentation/clustering and optimization) to identify drivers of a business metric in areas of Claims and Underwriting.
The resource should be able to support:
Predictive capabilities, support model redevelopment and retraining, and develop new model capabilities.
Model performance monitoring.
Select appropriate models for business needs
Platform experience is preferred: Client is currently using Domino and slowly transitioning to Sagemaker
Experience with XGBoost models and Python is essential.
Master's Degree in a quantitative discipline such as Statistics, Actuarial Sciences, Mathematics, Quantitative Finance, or Economics
Proficient in R/ Python and other statistical tools like SAS, SPSS etc.
Expert in statistical modelling, Bayesian modelling, data mining, GLM techniques, machine learning, text mining, segmentation/clustering, and optimization.
Strong analytical skills with a solid understanding of statistics and predictive modeling.
Well versed with Python/ETL/SQL/ XGBoost and Data science experience.
Advanced proficiency with Microsoft Excel, including VBA, is required
Basic database skills, including SQL and ability to pull together disparate data sources. SSRS / SSIS Experience
Should have skills to analyze data and provide insights on trends, patterns, etc. which will be critical to the business
Ability to establish priorities and handle multiple assignments concurrently with minimal direction in an evolving, fast paced work environment
Demonstrate ability to work independently and in a team environment
Self-disciplined and results oriented
Ability to communicate effectively both orally and in writing with various levels of management, including translating complex ideas and data into actionable steps for business units
Data Quality, Metadata Management and Data Governance
Hand on experience with one of the cloud technologies (AWS, Azure, GCP).
Mature outlook and upholds high standards of professional integrity
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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