Company:
Gallagher Bassett
Location: Rolling Meadows
Closing Date: 01/12/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Introduction
Join our growing team of dedicated professionals at Gallagher Bassett, who guide those in need to the best possible outcomes for their health and wellbeing. You'll be part of a resilient team that works together to redefine the boundaries of excellence. At our organization, we value collaboration and making a positive impact in the lives of our clients and claimants, offering you the opportunity to join a team where your skills and dedication can truly make a difference. GUIDE. GUARD. GO BEYOND.
We believe that every candidate brings something special to the table, including you! So, even if you feel that you’re close but not an exact match, we encourage you to apply.
Overview
We are looking to hire experienced hands-on data science professionals who continuously strive to push boundaries and deliver substantial business value through innovative use of data science / machine learning techniques.
How you'll make an impact
Identify opportunities for data science / machine learning solutions in a business area and deliver value at scale without any 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 for a large dataset containing millions of records.
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.
Provide mentorship and guidance to junior members of the team without formal supervisory responsibility.
Review the work of other team members and provide feedback.
About You
A degree in Data Science / Machine Learning / Statistics / Computer Science or an equivalent subject. Master’s degree will be preferred.
Should have at least 8 years of full lifecycle experience in data science projects in any industry. Experience in insurance industry will be preferred.
Should have an excellent understanding of fundamental concepts of data science and machine learning methods and their evaluation methods.
Should be an expert in Python and its data science libraries like Pandas, Scikit-Learn, Keras, TensorFlow, PyTorch, NumPy, MatPlotLib etc.
An expert level knowledge and experience of working with NLP, GenAI and Large Language Models.
Knowledge and experience of working with Retrieval Augmented Generation (RAG) frameworks like LangChain or Llama Index.
Ability to effectively communicate highly complex data science concepts in relatively simpler terms to business stakeholders.
Expertise in writing SQLs for data extraction, data manipulation and analysis.
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 claims management, 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).
Experience with deep learning methods
#LI-NP1
Compensation and benefits
On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits.
Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:
Medical/dental/vision plans, which start from day one!
Life and accident insurance
401(K) and Roth options
Tax-advantaged accounts (HSA, FSA)
Educational expense reimbursement
Paid parental leave
Other benefits include:
Digital mental health services (Talkspace)
Flexible work hours (availability varies by office and job function)
Training programs
Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
Charitable matching gift program
And more...
We value inclusion and diversity
Click to review our U.S. Eligibility Requirements
Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.
Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.
Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.
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 person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.
Join our growing team of dedicated professionals at Gallagher Bassett, who guide those in need to the best possible outcomes for their health and wellbeing. You'll be part of a resilient team that works together to redefine the boundaries of excellence. At our organization, we value collaboration and making a positive impact in the lives of our clients and claimants, offering you the opportunity to join a team where your skills and dedication can truly make a difference. GUIDE. GUARD. GO BEYOND.
We believe that every candidate brings something special to the table, including you! So, even if you feel that you’re close but not an exact match, we encourage you to apply.
Overview
We are looking to hire experienced hands-on data science professionals who continuously strive to push boundaries and deliver substantial business value through innovative use of data science / machine learning techniques.
How you'll make an impact
Identify opportunities for data science / machine learning solutions in a business area and deliver value at scale without any 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 for a large dataset containing millions of records.
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.
Provide mentorship and guidance to junior members of the team without formal supervisory responsibility.
Review the work of other team members and provide feedback.
About You
A degree in Data Science / Machine Learning / Statistics / Computer Science or an equivalent subject. Master’s degree will be preferred.
Should have at least 8 years of full lifecycle experience in data science projects in any industry. Experience in insurance industry will be preferred.
Should have an excellent understanding of fundamental concepts of data science and machine learning methods and their evaluation methods.
Should be an expert in Python and its data science libraries like Pandas, Scikit-Learn, Keras, TensorFlow, PyTorch, NumPy, MatPlotLib etc.
An expert level knowledge and experience of working with NLP, GenAI and Large Language Models.
Knowledge and experience of working with Retrieval Augmented Generation (RAG) frameworks like LangChain or Llama Index.
Ability to effectively communicate highly complex data science concepts in relatively simpler terms to business stakeholders.
Expertise in writing SQLs for data extraction, data manipulation and analysis.
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 claims management, 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).
Experience with deep learning methods
#LI-NP1
Compensation and benefits
On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits.
Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:
Medical/dental/vision plans, which start from day one!
Life and accident insurance
401(K) and Roth options
Tax-advantaged accounts (HSA, FSA)
Educational expense reimbursement
Paid parental leave
Other benefits include:
Digital mental health services (Talkspace)
Flexible work hours (availability varies by office and job function)
Training programs
Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
Charitable matching gift program
And more...
We value inclusion and diversity
Click to review our U.S. Eligibility Requirements
Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.
Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.
Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.
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 person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.
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