Job Location: Rolling Meadows, IL
This position can be entirely virtual/remote/work from home and you can sit anywhere in the US.
Job Responsibilities:
- Identify opportunities for data science / machine learning solutions in a business area and deliver value at scale without guidance.
- Be an expert in the domain of machine learning / data science and communicate chosen methodologies, analyses, and interpretation of model predictions to business stakeholders.
- Independently take up data science projects and deliver the same to the satisfaction of the end users without any guidance.
- Research through competing solutions to a problem, measure their pros and cons and decide on the optimal approach.
- Identify and extract data needed, assess and remediate for data quality issues, perform feature engineering and undertake other data preparation activities.
- Develop appropriate data science / machine learning models in close collaboration other team members and with product managers.
- Track model performance over a period of time and adjust models to ensure ongoing predictive value.
- Coordinates with technology partners to build and maintain systems necessary for the deployment of developed models and algorithms.
- Guide and review the work of other team members without formal supervisory responsibility.
Requirements:
- A degree in data science / machine learning / statistics or an equivalent subject. Master’s degree preferred.
- 5+ years of full lifecycle experience in data science projects; experience in insurance industry preferred.
- Should be an expert in Python and its data science libraries like Pandas, Scikit-Learn, Keras, TensorFlow, PyTorch, NumPy, MatPlotLib etc.
- Expertise in writing SQLs for data extraction, data manipulation and analysis.
- Ability to effectively communicate highly complex data science concepts in relatively simple terms to business stakeholders.
- Proven ability to lead and drive projects and assignments to completion. Effectively engage and mentor talent.
- Ability to work in a collaborative team environment and quickly adapting to a new situation.
- Ability to handle and analyze a vast amount of data.
- Experience of working in a cloud based environment, preferably Azure Databricks.
Desired Skills :
- A background in insurance, insurance brokerage, or financial services.
- Knowledge of software engineering best practices such as writing unit tests, using version control (e.g. Git), and writing technical documentation.
- Experience working in an agile environment.
- Experience building data pipelines for larger data sets and using cloud-based tools (i.e. Azure Databricks or Azure ML or AWS).
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.
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