• Gain practical experience with end-to-end AI/ML projects in enterprise environments. • Exposure to hybrid cloud and modern data platforms. • Contribute to impactful solutions for Ensono’s clients.

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: NACI (T1) Job Family: Data Science and Data Engineering Job Qualifications: Skills: Agile Methodology, Big Data, Data Analysis, Structured Query Language (SQL)Certifications: NoneExperience: 5 + years of related experienceUS Citizenship Required: No Job Description: Deliver insights to help our clients turn data into action! As a Senior Data Scientist at GDIT, your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career. HOW A DATA SCIENTIST WILL MAKE AN IMPACT - Contributes to completion of specific programs and projects - Develops data-driven solutions to complex business challenges. - Applies and integrates predictive modeling and business analysis skills to manage complex, high-volume data from a variety of sources. - Performs data collection and analysis using SQL and Python. - Prepares presentations that reflect the results of data analysis and demonstrate to the client using QuickSuite, Excel, or other AWS Native tools. - Utilizes advanced tools and computational skills to interpret, connect, predict, and make discoveries in data and deliver recommendations for business and analytic decisions. - Evaluates the effectiveness and accuracy of new data sources and gathering techniques. - Ensures the integrity of project data, including data extraction, storage, manipulation, processing and analysis. - Uses predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes. - Works with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions. - May develop processes and machine learning based tools to monitor and analyze model performance and data accuracy. - Maintains current knowledge of relevant technologies as assigned. - Performs additional duties as assigned. - May coach and review the work of less-experienced professionals. WHAT YOU’LL NEED TO SUCCEED: - Bachelor's degree in a Data Science, Computer Science, Statistics or a related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience. - 5+ years of related data science/data analysis experience. - Strong SQL skills, required - AWS Native tools experience (such as QuickSuite, Amazon Q), a plus - Claims data experience, specifically Part D claims, a plus - Artificial Intelligence / Machine Learning experience, a plus LOCATION: Remote CLEARANCE: Must have resided in the US for 3 of the past 5 years and pass a CMS background check in order to obtain a Public Trust. GDIT IS YOUR PLACE: - Full-flex work week to own your priorities at work and at home - 401K with company match - Comprehensive health and wellness packages - Internal mobility team dedicated to helping you own your career - Professional growth opportunities including paid education and certifications - Cutting-edge technology you can learn from - Rest and recharge with paid vacation and holidays The likely salary range for this position is $97,968 - $131,100. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: None Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

• work across functional areas to support the application of data science and software engineering methods and techniques for production-scale internal use and external research • collaborate with stakeholders across Raytheon, RTX, and the Applied Artificial Intelligence team to develop analytic products for agile delivery, spanning manufacturing, engineering, business development, and supply chain functions • influence organizational standards by researching and deploying technical solutions for customers as part of a broader ecosystem of machine learning and advanced analytics professionals.

Overview Mercury Ignite – Your launchpad to a brighter career. Our summer internship program is a 12-week paid internship designed to allow students to gain practical work experience in the technology field. We are one team. The Mercury Enterprise Data Science team (EDS) is a technology team focused on utilizing data science to drive pricing and product excellence, improving risk assessment models for more accurate underwriting decisions, optimizing claims indemnity through predictive analytics and data insights, improve fraud detection capabilities to minimize financial losses, enhance customer and agency segmentation for targeted marketing, sales & customer experience improvement, and increase operational efficiency by leveraging data-driven decision making Geo-Salary Information Job Summary We are seeking curious, passionate, and hard-working students from quantitative academic fields to participate in our fully remote summer internship program. The program will be highly collaborative and immersive, with interns working on real business problems that can span multiple business units within the complex insurance landscape. As a Data Science Intern you will support analytical projects on identifying business opportunities, answering business questions and developing business solutions. But it won’t be all work! Mercury executives will host virtual lunch-and-learns with a small group of interns to discuss career aspirations, interns will get to meet Mercury people leaders and team members throughout the organization, and there will be a multitude of virtual social events. Responsibilities Job Function Interns will work with their managers and fellow interns within an interactive Agile framework that includes daily stand-ups and weekly tactical problem-solving sessions. Interns will also attend the broader meetings within their respective functions to help further contextualize their work. Over the course of the summer, interns will ultimately build a minimum viable product (MVP) and have a “capstone” opportunity to present those findings to the Mercury leadership team. Internships will begin in June 2025 • 12-week remote summer internship • 40-hour work week • Paid Internship: $30/hour for undergraduates; $30/hour for graduate students • Future full-time opportunities may be available for high performers Education Requirements • Be legally eligible to work in the U.S. • Pursuing a Bachelors (BS/BA) or Masters (MS/MA) degree in an information technology field • Able to provide current GPA, as reported by your school. Minimum 3.0 GPA required, 3.5 or higher GPA preferred. • Enrolled student attending a university program with an expected graduation date on or after August 2024 • Planning to seek full-time employment between December 2025 and September 2026 Qualifications Education: - Be legally eligible to work in the U.S. - Pursuing a Bachelors (BS/BA) or Masters (MS/MA) degree in an information technology field - Able to provide current GPA, as reported by your school. Minimum 3.0 GPA required, 3.5 or higher GPA preferred. - Enrolled student attending a university program with an expected graduation date on or after August 2024 - Planning to seek full-time employment between December 2025 and September 2026 Preferred Skills & Abilities: - Excellent verbal and written communication - Ability to manipulate and analyze data to address and solve business problems - Willingness to independently learn and make an impact within a team environment - Strong programming skills in Python or R, experience building dashboards - Preferred but not required: experience with SQL and Git/GitHub/GitLab About the Company Why choose a career at Mercury? At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Learn more about us here: https://www.mercuryinsurance.com/about/careers Perks and Benefits Why a Mercury Ignite internship - Obtain practical work experience in your field of interest - Network with other interns and industry professionals - Receive personalized coaching and mentorship - Work on real projects and initiatives - Earn a competitive salary If you’re interested in launching your career with Mercury Insurance - Apply today! Mercury is an equal opportunity employer, committed to the strength of a diverse workforce. Pay Range USD $30.00 - USD $30.00 /Hr.