Senior Data Scientist

Data Bridge Consultants
Data Bridge Consultants

Job Overview

Our Client, one of largest providers of annuities and life insurance in in the United States, is in need of a Senior Data Scientist – Actuarial and Finance. Full time Role. Job Duties/Responsibilities:Data Scientists in in our client’s Data Science organization work closely with cross-functional teams in marketing, distribution, actuarial, product and other functions, leveraging the company’s rich datasets to develop and deliver propensity models and data-driven insights, and ultimately drive  top line growth. A successful candidate will be passionate about finding insights in data and using quantitative analysis to answer complex questions, with a collaborative and resourceful style.Key Responsibilities:Conduct data analytics with the relevant programming / statistical package (such as R or Python) for large-scale problem solvingWork independently and possesses exceptional technical ability.Understand complex business challenges, develop hypotheses, convert into the right analytical hypothesis, and communicate the results back to the partner teams with limited or no analytical background to drive the business strategyAnalyze internal / external, online / offline, and structured / unstructured data such as speech analytics, digital footprints, financial information, proprietary market research and secondary sources to identify insightsCreate innovative solutions to business problems.Partner with other operational areas to identify opportunities for new projects.Build strong working relationships and improve workflow and organizational issues.Build complex advanced-level machine learning and advanced analytics models.Handle and resolve questions and issues referred by junior staff members.May propose, evaluate and implement process improvements to increase efficiency and effectiveness.Perform other duties as required or assigned.Essential Business Experience and Technical Skills:Doctoral degree in a technical field and two plus years of related work experience, or a Master’s degree in a technical field and at least 3-4 years of related work experience, or a Bachelor’s degree in a technical field and at least 6-8 years of related work experience.Significant professional experience required applying quantitative analysis and modeling to solving real-world business problems including experience in model validation, testing and deploymentDemonstrated proficiency in Python/PySpark requiredDemonstrated ability to perform high quality work independentlyExcellent oral and written communication skills, including the ability to explain complicated quantitative concepts to non-technical stakeholders using effective story telling techniques and visualizationAbility to translate business requirements into detailed analysis plans.Ability to prioritize requests to meet the most important and urgent business needsWorking knowledge of insurance industry is a plusPrior exposure to financial services or insurance industry preferredTravel: 5%Department:Data Science, Quantitative Research & Analytics Location:Charlotte, NC

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