Data Science Lead

Gallagher Re is one of the world's leading reinsurance advisory and broking firms. We bring together sophisticated analytics capabilities, risk transfer and transactional expertise to provide advice and counsel to our clients. We help our clients interpret the data to guide their decisions surrounding the management of their risk portfolio.

We're seeking an experienced Data Scientist to help us build out our data and predictive analytics capabilities globally. The level/title for this role will depend on the candidate's overall experience and skill level.

Key Responsibilities:

• Produce standard methodologies that can apply across the analytics team
• Build connections with the AJG data science team, and help to successfully implement overall data strategy
• Respond to client challenges by improving pricing models and underwriting tools
• Perform data analysis and develop high quality compliant predictive models
• Create new sales content and marketing IP to help grow revenue
• Develop technical solutions to support model development
• Identify what data is needed (internally or externally), how we will collect that data, and how it will be managed or implemented effectively
• Keep up to date on the latest developments of AI and Machine Learning

Required:

• Degree in Science, Technology, Engineering, Mathematics and or Statistics; or equivalent experience
• 5+ years of experience in a Data Science role with hands on experience applying statistical and machine learning technologies
• Strong Python programming skills, experience writing clean, high quality code, with the "scientific programming stack"
• Able to implement high quality end to end data science workflows: discovery / problem definition, Data Acquisition and Processing, Model build and Tuning, Validation, Evaluation and results communication
• Intermediate SQL skills
• Experience using Git version control
• Able to demonstrate an understanding of a broad range of Machine Learning algorithms
• An interest in the commercial pragmatic application of data science technologies to business problems

Beneficial:

• Experience using data, analytics, and AI cloud technologies on either Azure, Google Cloud, or AWS. The team will use Azure.
• Data or software engineering experience
• Experience working with large datasets e.g. BigQuery, Databricks / Spark
• Knowledge of Linux / Unix
• Experience using MLOp's technologies
• Diverse technical or industry experience
• Insurance / actuarial experience
• Experience with modern geospatial analytics
• Experience in other programming languages

Work Traits:

• Able to effectively prioritize assignments
• Good interpersonal and verbal and written communication skills
• Ability to convey complex concepts to a range of stakeholders in an understandable way
• Detail oriented

U.S. Eligibility Requirements:

• Apply online to be considered
• 18 years of age or older or must demonstrate legal capacity to enter a contract
• Any offer of employment is conditioned upon the successful completion of a background investigation
• Unrestricted work authorization to work in the United States is required. 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
• 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 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 persons with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

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