• 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.

• Build predictive models to forecast trends such as employee turnover, workforce engagement, and talent needs. • Develop prescriptive analytics solutions to inform HR strategies and optimize decision-making processes. • Analyze large datasets from various systems (e.g., Workday, Greenhouse) to uncover actionable insights. • Implement machine learning frameworks for solving HR-related challenges. • Harness insights from unstructured or qualitative data sources, such as performance reviews, annual engagement survey comments, or open-text survey responses. • Develop natural language processing (NLP) models to analyze text data and uncover trends, sentiment, or organizational themes. • Collaborate with stakeholders to define business problems, translate them into technical solutions, and communicate results effectively. • Integrate predictive outputs into Snowflake or visualization platforms like Tableau and Looker. • Partner with HR and data engineering teams to ensure seamless data pipeline management and integrity. • Maintain a strong focus on data accuracy, security, and compliance.

• Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors. • Serve as the company's chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. • Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. • Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning. • Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. • Represent Databricks externally as a data science thought leader at industry conferences and publications. • Define and evolve company-wide scientific methodologies.