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 an experienced hands-on Sr Data Scientist who will continuously strive to push boundaries and deliver substantial business value through innovative use of data science/machine learning techniques. This position can be entirely virtual/remote/work from home and you can sit anywhere in the US. How you’ll make an impact 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. About You Required A degree in data science/machine learning/statistics or an equivalent subject; Master’s degree be preferred. 5+ years of full lifecycle experience in data science projects 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 adapt to a new situation. Ability to handle and analyze a vast amount of data. Experience working in a cloud based environment, preferably Azure Databricks. Desired A background in insurance, insurance brokerage, or financial services. Knowledge of software engineering best practices such as writing unit tests, using version control (eg Git), and writing technical documentation. Experience working in an agile environment. Experience with using LLMs like GPT. Experience with deep learning and NLP methods LI-DK3 LI-Remote 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 Here 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. #J-18808-Ljbffr
Matplotlib scikit-learn Natural language processing (NLP) pandas Data Science Python OpenAI GPT deep-learning NumPy SQL TensorFlow keras azure-databricks PyTorch