Data Scientist Consultant II - National General

National General is a part of The Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers evolving needs. We offer home, auto and accident and health insurance, as well as other specialty niche insurance products, through a large network of independent insurance agents, as well as directly to consumers. Job Description This role is responsible for leading the use of data to make decisions. This includes: the development and management of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also manage projects of medium complexity.

Responsibilities Utilizes effective project planning techniques to break down moderately complex and occasionally complex machine learning and/or development projects into tasks and ensure deadlines are kept Applies best practices in statistical modeling, machine learning, deep learning, and NLP to develop predictive models that solve business problems

Identifies and uses programming languages and tools (such as Python, R, SQL, and Linux) that bring efficiency and innovation to the team

Collaborates across teams to build and implement predictive models that improve decision-making

Reviews and communicates modeling results to teams, stakeholders, and leadership in a clear and actionable way

Begins to mentor and support junior data scientists in both technical and business-facing skill development

Stays current with industry trends and contributes new ideas for data sourcing, model innovation, and business impact

Experience or understanding of insurance industry data and use cases is a strong plus

Preferred Qualifications: Bachelor's Degree in Data Science, Computer Science, Statistics, or related field

1+ years of relevant experience

Hands-on experience with Python, R, SQL, and working in Linux environments

Familiarity with cloud platforms (Azure, AWS) is a plus

Strong background in NLP and deep learning

Prior exposure to the insurance industry or other regulated domains is preferred

Supervisory Responsibilities This job does not have supervisory duties. Education & Experience (in lieu) In lieu of the above education requirements, an equivalent combination of education and experience may be considered. #LI-PG1 Compensation National General Holdings Corp., a member of the Allstate family of companies, is headquartered in New York City. National General traces its roots to 1939, has a financial strength rating of A (excellent) from A.M. Best, and provides personal and commercial automobile, homeowners, umbrella, recreational vehicle, motorcycle, supplemental health, and other niche insurance products. We are a specialty personal lines insurance holding company. Through our subsidiaries, we provide a variety of insurance products, including personal and commercial automobile, homeowners, umbrella, recreational vehicle, supplemental health, lender-placed and other niche insurance products. Companies & Partners Direct General Auto & Life, Personal Express Insurance, Century-National Insurance, ABC Insurance Agencies, NatGen Preferred, NatGen Premier, Seattle Specialty, National General Lender Services, ARS, RAC Insurance Partners, Mountain Valley Indemnity, New Jersey Skylands, Adirondack Insurance Exchange, VelaPoint, Quotit, HealthCompare, AHCP, NHIC, Healthcare Solutions Team, North Star Marketing, Euro Accident. Benefits National General Holdings Corp. is an Equal Opportunity (EO) employer Veterans/Disabled and other protected categories. All qualified applicants will receive consideration for employment regardless of any characteristic protected by law. Candidates must possess authorization to work in the United States, as it is not our practice to sponsor individuals for work visas. In the event you need assistance or accommodation in completing your online application, please contact NGIC main office by phone at (336) 435-2000. recblid xkaxt0j7aitckbypd757qdz6xf7347