Job Description

Gallagher Bassett is the premier provider of global claims services, dedicated to exceptional customer service and demonstrably superior outcomes. GB helps people, teams and businesses overcome adversity and loss through the guiding expertise of over 5,000 claims professionals, all committed to going beyond expectations in the continuous pursuit of a better way.

Position Summary:

Accountable for leading, developing, and providing direction to a team of data science professionals tasked with leveraging company and external data to build predictive data models to derive actionable insights.

Key Responsibilities:

• Tracks the competitive marketplace, business issues, and data challenges in order to deliver actionable insights, recommendations and business processes.
• Directs team toward analytical solutions that are highly marketable and/or have a broad (quantified) impact on the business.
• Manages staff, providing guidance, setting goals, and ensuring that overall department goals are attained.
• Leads project team to achieve milestones and objectives, and to deliver high-quality (fully tested) solutions.
• Sets strategic direction for the tools, technologies, methodologies, and skill sets employed by the company for use in solving problems with data science.
• Coordinates with technology partners to build and maintain systems necessary for the deployment of developed models and algorithms.
• Communicates chosen methodologies, analyses, and interpretation of model predictions to business stakeholders at the highest level, including flagship clients and other external stakeholders.
• Accountable for business/functional unit results and budget.

Requirements:

• Degree in a quantitative field, such as data science, statistics, mathematics, computer science, finance, or economics and minimum 9 years of relevant professional and/or technical experience.
• Relevant experience managing a team.
• Knowledge of emerging data science topics and trends, including their potential application to insurance.
• High proficiency working with SQL, data warehouses, and transactional databases.
• Advanced experience with cloud and distributed data and computing tools. Strong programming skills in one or more high-level languages (Python, R, Julia) commonly used for statistical modeling and machine learning.
• Experience leading a team through the full life cycle from data acquisition, modeling building through to deployment, and monitoring and revising models in a large-scale enterprise production environment.
• Strong analytical, problem solving, communication, management, leadership, and critical thinking skills.

Preferred:

• Advanced degree in a quantitative field, such as data science, statistics, mathematics, computer science, finance, or economics.
• Background in insurance, insurance brokerage, or financial services.
• Experience working in an agile environment and using agile software (Jira, Asana, Trello, etc.).
• Experience deploying models in a production environment including writing tests to improve code coverage, using version control (e.g. Git), and levering CI/CD tools (i.e. Jenkins, CircleCI, Travis CI, etc.).

Work Traits:

• Observes business problems and identifies those that are suitable to be solved by advanced analytics techniques.
• Conceptualizes potential solutions and manages team toward build a solution.
• Consistently motivates team toward successful completion of goals.
• Applies quantitative thinking to solve business problems.
• Conceptualizes highly complex modeling techniques as they would apply to business problems.
• Explains highly technical concepts / methodologies in a way that can be understood by non-technical staff.

U.S. Eligibility Requirements: Interested candidates must submit an application and resume/CV online to be considered

• • Must be 18 years of age or older
  • Must be willing to submit to a background investigation; any offer of employment is conditioned upon the successful completion of a background investigation
  • Must have unrestricted work authorization to work in the United States. For U.S. employment opportunities, Gallagher hires U.S. citizens, permanent residents, asylees, refugees, and temporary residents. Temporary residence does not include those with non-immigrant work authorization (F, J, H or L visas), such as students in practical training status. Exceptions to these requirements will be determined based on shortage of qualified candidates with a particular skill. Gallagher will require proof of work authorization
  • Must be willing to execute Gallagher's Employee Agreement or Confidentiality and Non-Disclosure Agreement which requires, among other things, post-employment obligations relating to non-solicitation, confidentiality and non-disclosure

Gallagher offers competitive salaries and benefits, including: medical/dental/vision plans, life and accident insurance, 401(K), employee stock purchase plan, educational expense reimbursement, employee assistance program, flexible work hours (availability varies by office and job function) training programs, matching gift program, and more.

Gallagher believes that all persons are entitled to equal employment opportunity and does not discriminate against nor favor any applicant because of race, sex, color, disability, national origin, religion, creed, age, marital status, citizenship, veteran status, gender, gender identity / expression, actual or perceived sexual orientation, or any other protected characteristic. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified applicant with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

#LI-JK1

Additional Information

more