Role Description We have an exciting opportunity for a Data Scientist within our data product space. This individual will be focused on designing, building, and deploying machine learning models and data products that support our enterprise initiatives. This role focuses on developing scalable, production-ready solutions by translating complex business problems into data-driven approaches and model-based outputs. Working closely with product managers, engineering teams, and business stakeholders, this position contributes to the development of data products from concept through deployment, ensuring solutions are reliable, performant, and aligned with real-world use cases. The role includes hands-on model development, feature engineering, and integration into production systems within cloud environments. The ideal candidate has experience building and operationalizing machine learning models and is comfortable working with modern AI techniques, including large language models (LLMs) and retrieval-augmented generation (RAG), where applicable. Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred. Success in this role requires strong technical expertise, problem-solving skills, and the ability to deliver high-quality solutions within a structured development environment. This role focuses on building and deployment of production data products and is not limited to exploratory analysis or reporting. This position is open to remote or hybrid. Qualifications - Strong problem-solving skills with an emphasis on product development. - Strong foundation in machine learning, statistical modeling, and data science techniques. - Experience building and deploying machine learning models in production environments. - Familiarity with modern AI approaches, including: - Natural language processing (NLP) - Large language models (LLMs) - Retrieval-Augmented Generation (RAG) - Feature engineering and model evaluation techniques. - Experience working with cloud platforms such as Azure, AWS, or similar ecosystems. - Familiarity with data pipelines, APIs, and integration patterns. - Proficiency in programming languages such as Python and database management including SQL. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), their real-world advantages/drawbacks and experience with applications. - Excellent presentation and written/verbal communication skills. Requirements - Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master’s preferred. - 2–5+ years of experience in data science, machine learning, or related roles. - Experience developing and deploying machine learning models in production environments. - Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar. - Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, or similar technologies preferred. - Experience working within enterprise software environments and SDLC practices preferred. Benefits - Comprehensive benefits package for full-time regular employees, including: - Medical (HDHP) w/Pharmacy - Dental - Vision - Long Term Disability - Health Savings Account - Flexible Spending Account Options - Life Insurance - Accident Insurance - Critical Illness Insurance - Pre-paid Legal Insurance - Parking and Transit FSA accounts - 401K and ROTH 401K - Paid time off Company Description CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries. CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients. We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities. Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!).

• Perform analyses on large sets of data to extract practical insights • Define data requirements and support the implementation of data specs • Maintain the Spotify Ads Manager’s data and reporting ecosystem • Design and conduct experiments for user and advertiser metrics • Communicate data-driven insights and recommendations

• Conduct advanced analyses and develop predictive models. • Work on building end-to-end data pipelines. • Support decision-making through **analytical insights**. • Provide **technical leadership**, contributing to the definition of methodologies.

Cerro Wire LLC As a part of the global industrial organization Marmon Holdings—which is backed by Berkshire Hathaway—you’ll be doing things that matter, leading at every level, and winning a better way. We’re committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone’s empowered to be their best. A Summer Experience. A Lifetime of Value. We’ll meet you where you are and help you go further. This summer, we’re committed to bringing early-in-career talent together, trust you to own your work and help you level up through professional development, networking, and exposure to real-world projects. We’re doing things that matter. Energizing North America: That’s the impact of your work at Cerrowire. Copper building wire doesn’t just supply electricity. It turns houses into homes. It allows hospitals to deliver the care patients need. It keeps every single industry we rely on up and running. And it all starts with you. As a part of Marmon, your impact also goes way beyond North America. You’re helping keep millions around the world healthy, connected and safe. Join the Biggest Small Business You’ll Ever Find. Headquartered in Hartselle, Alabama, Cerrowire is a copper wire manufacturing company with plants in Alabama, Georgia, Indiana, and Utah. We build, energize, and inspire by supplying building wire and cable throughout North America for commercial, industrial and residential use. We bring power to life. Cerrowire is hiring talented and innovative interns looking to power up their futures and forge a meaningful career with us. Be part of our efforts to help improve the quality of life for millions of people by engineering solutions to many of the world’s greatest needs. You will gain substantial personal learning and career development opportunities through ownership of real-world job assignments, strong coaching and mentorship, and networking opportunities with senior leaders and other interns across our organization. Our interns receive the opportunity to showcase their achievements to our Leaders for the opportunity to grow and make an impact in the current workplace, across a group, and around the world. At Cerrowire, a Marmon company, you get the best of both worlds. The strength and stability that comes with being part of Berkshire Hathaway, plus the autonomy and opportunity that comes with working at one of our 120+ companies. What You’ll Do: The Data Scientist Intern will help develop predictive machine learning models to optimize scheduling for maintenance and shipping, launch a RAG LLM for digitizing SOPs, and support workforce digital literacy training.. They will get on-hand experience collaborating with stakeholders and presenting to executives as well as mentorship from senior leaders. What You’ll Need: - Pursuing an undergraduate or graduate degree in Computer Science or related field - Rising Junior or Senior - Preferred experience with Python, Tensorflow, PyTorch, Git, or related tools - Excellent written, verbal communication and presentation skills - Ability to effectively communicate issues and solutions to all levels of the team - Strong analytical and problem-solving skills Compensation: - $22.00 - $26.00 per hour, commensurate with relevant experience and educational background Work Hours/Length of Program: - The internship will run for 12 weeks from May to August - Full Time, targeting 40 hours per week (possibility for more flexible hours and Part Time if necessary) - Exact start and end dates are flexible based on school schedules and the needs of the business - This is a paid internship Working Conditions and Physical Demands: This position is based in our Corporate Office, and employees are expected to wear business casual dress. The office is connected to a state-of-the-art manufacturing facility and may involve general exposure to a manufacturing environment, including exposure to noise, temperature fluctuations, or other factors. Employees entering the manufacturing facility are required to wear high visibility vests, eye protection, ear protection, and steel-toed shoes. - Successful completion of a drug screening is required for this role - This position involves sitting for extended periods of time. - May involve close vision, color vision, depth perception, focus adjustment, and viewing computer monitor for extended periods of time. - Involves manual dexterity for using keyboard, mouse, and other office equipment. Location: This role can be 100% remote, though preference will be given to those located within 1 hour of Hartselle, AL. Some travel may be required. Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law. We are an equal opportunity employer, and all applicants will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to careers@marmon.com, and please be sure to include the title and the location of the position for which you are applying.