Berkley Oil & Gas, (a W.R. Berkley Company) is an insurance underwriting manager providing unique property and casualty products and risk services to customers engaged in the energy sector. Our customers recognize the importance of the expertise we provide and appreciate the opportunity to work with professionals who understand their business. We are in turn committed to delivering innovative products and exceptional service to them, our valued agents and brokers, Berkley Oil & Gas is dedicated in its efforts to be well-informed of the changing dynamics of the industry; support industry efforts to minimize and mitigate risks and hazards in the ‘oil patch’, and to constantly seek ways to improve our products and services to meet customer needs.
Company URL: https://berkleyoil-gas.com/
The company is an equal opportunity employer.
ResponsibilitiesAs a Data Scientist, you will focus on leveraging the company’s substantial data assets to deliver actionable and meaningful business insights using analytics, predictive models, machine learning, and artificial intelligence. The ideal candidate will possess a strong technology background with mid-to-advanced-level expertise in data analysis and building (and deploying) predictive models. We are looking for a highly motivated individual with the ability to help us deliver next-generation solutions.
This position requires improving and supporting our application infrastructure, writing code, analyzing data, creating models, creating ad hoc apps/reports/dashboards, working with both internal and external customers, participating in project management and execution, and leading small individual and team projects.
The Advanced Analytics team is passionate about continuous learning and turning that knowledge into cutting-edge analytical solutions. We strive to deliver innovative analytical solutions that generate tangible business results.
Develop, test, deploy, and help monitor analytics products and predictive models including data engineering, data analysis, and AI/ML/NLPService the analytical needs of internal and external customers by providing high-value analysis, reports, dashboards, and/or electronic files as neededParticipate in leading high-value data science projects and assist with defining project deliverables, estimating timelines, estimating expected business value, assigning project tasks, and ensuring efficient execution and proper documentation from ideation through business integrationHelp implement automated solutions to monitor and maintain the performance of the team’s analytical products.Identify when model retraining or new solutions are neededDesign and execute well-documented experiments to identify novel uses of internal and external data to deliver business valueKeep up to date with AI and ML best practices as relates to the company’s initiatives and share key insights with the teamHelp design, evangelize, and continuously improve group best practicesConduct formal peer reviews of data science projects from other team membersWork on cross-functional teams within the company and across the larger corporation to develop and implement novel analytics and data science solutionsProvide mentorship to junior team membersCreate and deliver presentations to internal and external customers as needed Qualifications Requires minimum of 2 to 5 years of business experience as a data scientist or in a related field.Possesses an intense curiosity and determination to explore and solve complex business problems utilizing data, technology, and analytical techniques.Ability to multitask and manage assigned work under tight deadlines.Solid understanding of a variety of statistical and machine learning algorithmsIntermediate understanding of natural language processingHistory of following data visualization best practices and coding best practicesExperience in breaking projects down into deliverables, setting timelines, and providing accurate status reportsSignificant experience with working with large databases for analytical purposes. This would include both transactional systems and data warehouse systems.Intermediate-to-Advanced level understanding of SQL Databases and the SQL Programming Language – SQL Server / Oracle and including programming in T-SQL, PL/SQL or the like.Intermediate-to-Advanced level programming experience with Python and/or other DS software/platformsKnowledge of information technology practices relating to data, data warehousing, ETL processes, data mining.Understanding of project management practices and approaches including waterfall and Agile methodologies and experience with project management software such as Microsoft Team Foundation Server, Jira, Trello, etc.Experience with code management (version control) techniques utilizing tools such as Microsoft Team Foundation Server, GitHub, etc.Intermediate experience with UNIX and DockerExcellent listening and interpersonal skills.Experience working in a team-oriented, collaborative environment.Ability to translate complex subject matter into understandable written and oral communications.
Education Requirement
Bachelor’s or Advanced degree in data science, computer science, mathematics, statistics, engineering, physics or other sciences (or college degree with significant technical experience in a corporate setting).Education should include significant work in advanced mathematics, statistics, and/or data science. Undergraduate or graduate work in computer science is a plus.Insurance knowledge and experience is a plus. Additional Company Details We do not accept any unsolicited resumes from external recruiting agencies or firms.The company offers a competitive compensation plan and robust benefits package for full time regular employees.
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
Sponsorship Details Sponsorship not Offered for this Role Connect With Us! Not ready to apply? Connect with us for general consideration.