Data science internship jobs in Greenville, WI - 47 jobs

You've discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And ─ as “one of the Healthiest 100 Workplaces in America” ─ is focused on the mind/body/soul of team members through our Culture of Care. Coordinate and oversee the data entry process for critical information in the ERP system. Establish and maintain guidelines, assessing master data related issues and implementing improvement initiatives. Work with users from across the organization to optimize master data practices for the ERP and aid in the development of system reporting and dashboards for evolving business needs. MINIMUM REQUIREMENTS Education: Relevant experience considered Experience: Minimum 2+ years of ERP or related software experience Experience with ERP or related software Experience with master data related to manufacturing, construction, financials Capability to coordinate work with cross functional teams Development and adherence to business standards Travel: 0-10% Work Schedule: This position works between the hours of 7 AM and 5 PM, Monday- Friday. However, work may be performed at any time on any day of the week to meet business needs. KEY RESPONSIBILITIES Develop and maintain data entry guidelines and procedures to streamline data input and minimize errors. Provide training and support to staff on data entry best practices and ERP system usage. Coordinate mass data entry processes to ensure accuracy and consistency across the ERP system. Collaborate with various departments to aid in the development of system reporting based on changing business needs. Monitor data entry accuracy to ensure compliance with established data governance and standards. Train users on data reporting capabilities and share new technologies for improved analytics over time. Analyze system data to identify discrepancies, inconsistencies, and areas for improvement. Drive the development and implementation of data quality improvement initiatives. Work with Business Technology and other stakeholders to resolve data-related issues and enhance system functionality. Manage the data obsolescence process. Ensure data security and confidentiality in accordance with company policies and regulations. Performs other related duties as required and assigned. The job description and responsibilities described are intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. How Does FTI Give YOU the Chance to Thrive? If you're energized by new challenges, FTI provides you with many opportunities. Joining FTI opens doors to redefine what's possible for your future. Once you're a team member, you're supported and provided with the knowledge and resources to achieve your career goals with FTI. You're officially in the driver's seat of your career, and FTI's career development and continued education programs give you opportunities to position yourself for success. FTI is a “merit to the core” organization. We recognize and reward top performers, offering competitive, merit-based compensation, career path development and a flexible and robust benefits package. Benefits are the Game-Changer We provide industry-leading benefits as an investment in the lives of team members and their families. You're invited to review the full list of FTI benefits available to regular/full-time team members. Start here. Grow here. Succeed here. If you're ready to learn more about your career with FTI, apply today! Faith Technologies, Inc. is an Equal Opportunity Employer - veterans/disabled.

The Voith Group is a global technology company. With its broad portfolio of systems, products, services and digital applications, Voith sets standards in the markets of energy, paper, raw materials and transport & automotive. Founded in 1867, the company today has around 22,000 employees, sales of € 5.2 billion and locations in over 60 countries worldwide and is thus one of the larger family-owned companies in Europe. Voith Paper is Hiring For: Data Scientist Intern Data Scientist Intern Interested to learn about Voith? Check out our video "Voith careers" on YouTube. Reasons you'll love working here: Flexibility with Work/Life Balance Competitive Compensation and Benefits Package 401K with generous company match Climate-Neutral Footprint Worldwide Tuition reimbursement Summary: We are seeking a highly analytical, self-driven Data Scientist Intern to support the design and development of innovative data-driven solutions across our organization. The ideal candidate will have a solid foundation in statistical modeling and machine learning, with hands-on experience using Python for data analysis and model development. This role will assist in building predictive models, developing scalable data pipelines, and conducting rigorous quantitative analysis to inform strategic decisions. As a Data Scientist Intern, you will work closely with senior data scientists and cross-functional teams to explore datasets, prototype algorithms, and translate analytical findings into clear, actionable recommendations. The position is well-suited for someone who is intellectually curious, eager to learn advanced methods, and motivated to solve complex problems with data. Responsibilities: Assist in developing machine learning models for forecasting, classification, optimization, and anomaly detection. Support the construction and maintenance of scalable data structures, including feature engineering and data cleaning workflows. Conduct exploratory data analysis and statistical evaluations to uncover patterns, trends, and opportunities for improvement. Implement prototype algorithms in Python using libraries such as pandas, NumPy, scikit-learn, and PyTorch. Collaborate with senior team members to evaluate model performance, tune hyperparameters, and document results. Communicate analytical findings through clear visualizations, dashboards, and technical summaries. Contribute to process optimization and continuous improvement initiatives across operations, finance, and engineering teams. Required Skills/Abilities: Excellent verbal and written communication skills. Excellent organizational skills and attention to detail. Excellent time management skills with a proven ability to meet deadlines. Ability to function well in a high-paced environment. Familiarity with machine learning concepts, neural networks, and algorithm design. Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn; experience with PyTorch/TensorFlow is a plus) Strong analytical mindset with the ability to break down complex problems into structured steps. Exposure to financial modeling, predictive analytics, or time-series forecasting is a bonus. Ability to communicate technical results clearly and collaborate in a cross-functional environment. Self-motivated with a strong desire to learn and contribute to impactful real-world projects. Education and Experience: Pursuing a Bachelor's or Master's Degree in Data Science, Computer Science, Statistics, Econometrics, Engineering, or a related quantitative field. Prior internship in Data Science, Software Engineering, or Data Engineering is a plus. Personal or academic projects demonstrating hands-on experience with Python, machine learning models, neural networks, or applied analytics are strongly preferred. Physical Requirements (Office Example - modify as necessary): Prolonged periods sitting at a desk and working on a computer.

The Staff Data Scientist plays a critical role in leveraging data to drive business insights, optimize operations, and support strategic decision-making. You will be responsible for designing and implementing advanced analytical models, developing data pipelines, and applying statistical and machine learning techniques to solve complex business challenges. This position requires a balance of technical expertise, business acumen, and communication skills to translate data findings into actionable recommendations. + Develop and apply data solutions for cleansing data to remove errors and review consistency. + Perform analysis of data to discover information, business value, patterns and trends in support to guide development of asset business solutions. + Gather data, find patterns and relationships and create prediction models to evaluate client assets. + Conduct research and apply existing data science methods to business line problems. + Monitor client assets and perform predictive and root cause analysis to identify adverse trends; choose best fit methods, define algorithms, and validate and deploy models to achieve desired results. + Produce reports and visualizations to communicate technical results and interpretation of trends; effectively communicate findings and recommendations to all areas of the business. + Collaborate with cross-functional stakeholders to assess needs, provide assistance and resolve problems. + Translate business problems into data science solutions. + Performs other duties as assigned + Complies with all policies and standards **Qualifications** + Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience required or experience may be substituted for degree requirement required + Experience in data mining and predictive analytics. + Strong problem-solving skills, analytical thinking, attention to detail and hypothesis-driven approach. + Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences. + Proficiency with data visualization tools (Power BI, Tableau, or Python libraries). + Experience with Azure Machine Learning, Databricks, or similar ML platforms. + Expert proficiency in Python with pandas, scikit-learn, and statistical libraries. + Advanced SQL skills and experience with large datasets. + Experience with predictive modeling, time series analysis, and statistical inference. + Knowledge of A/B testing, experimental design, and causal inference. + Familiarity with computer vision for image/video analysis. + Understanding of NLP techniques for document processing. + Experience with optimization algorithms and operations research techniques preferred. + Knowledge of machine learning algorithms, feature engineering, and model evaluation. This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled. EEO/Disabled/Veterans **Job** Information Technology **Primary Location** US-WI-Appleton **Schedule:** Full-time **Travel:** Yes, 5 % of the Time **Req ID:** 253790 \#LI-MF #ACO N/A

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day. SUMMARY: As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems. YOUR IMPACT: Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C. Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns. Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences. Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements. Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products. Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands. Coach and mentor other team members on new technologies and best practices across data science and business intelligence. Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. Actively supports the advancement of the strategic roadmap for data science. MINIMUM QUALIFICATIONS: Bachelors degree with five (5) or more years of experience in the field or in a related area. STANDOUT QUALIFICATIONS: Masters or doctorate degree Expertise in Power Platforms Familiarity with LLM (open source or closed) Experience in Front end web app development (Flaskapp, Gradio etc) Familiarity with RAG architecture Pay Range: $115,600.00 - $196,400.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at ******************************************. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

About the role Our Software and Data Intern will support both our application development and business intelligence work. You will be part of a medium sized Agile Scrum team that builds, supports, and enhances the systems and data solutions that power our business. This role is a fit for someone who wants hands on experience across data, reporting, and software development. This internship offers a flexible hybrid work schedule (Monday-Friday) located at our Home Office in Green Bay, Wisconsin. The hybrid work schedule is 3 days/week onsite at Home Office and 2 days/week from home. This is a paid internship with an hourly rate of pay: $18.75 What you will do * Use SQL/PLSQL in support of data analysis, data modeling, and application development tasks. * Gain exposure to BI tools and platforms including Oracle, Azure Databricks Spark, and Power BI or Tableau. * Learn application development fundamentals using Python, React, and modern cloud platforms such as AWS or GCP. * Contribute to team projects, daily Scrum activities, and real business deliverables. * Work with IT and business partners to understand requirements and help translate needs into working solutions. * Participate in system design discussions, troubleshooting, and team ceremonies. What you need to succeed * Currently pursuing a Bachelor's degree in Computer Science, Data Science, Business Administration, or a related field, with at least three semesters remaining. Students in an Associate degree program must plan to continue into a Bachelor's program. * Foundational SQL skills or related coursework are strongly preferred. Exposure to Python or a BI tool is a plus. * Strong written and verbal communication skills. * Ability to work independently on assigned tasks and follow through. * Curiosity, attention to detail, and interest in learning both data and application development. * Reliable internet connection for hybrid work. Work expectations * Approximately 15 to 20 hours per week during the school year. * Approximately 40 hours per week during summer and winter breaks. * Hybrid role with required onsite presence for collaboration and team ceremonies. If you want real experience with modern development and analytics while working with a team that invests in your growth, we would like to meet you. Internship benefits: * Opportunity to complete real-world projects, participate in team meetings and contribute your ideas * Exposure to different areas of the business around the world * Internship program that includes engaging events and opportunities to build relationships at all levels * Relocation assistance (for eligible internships) * Rewards program for referring others * Eight free counseling sessions through our Employee Assistance Program * Company-provided retirement contributions per year through our 401(k) plan and Employee Stock Ownership Plan * Volunteer opportunities to give back to the community * Discounts on our products and more For positions that require any amount of travel: Valid driver's license, auto insurance (at least state minimum- more might be required), acceptable driving record per Schreiber Foods discretion, and vehicle that will ensure applicant can meet the travel necessities of the position are required. Schreiber requires that an employee have authorization to work in the country in which the role is based. In the event, an applicant does not have current work authorization, Schreiber will determine, in its sole discretion, whether to sponsor an individual for work authorization. However, based on immigration requirements, not all roles are suitable for sponsorship. An Equal Opportunity Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Want to be alerted of new openings? Sign in and click the cloud in the upper-right corner to view your profile. From there you can setup Job Alerts.

The Staff Data Scientist plays a critical role in leveraging data to drive business insights, optimize operations, and support strategic decision-making. You will be responsible for designing and implementing advanced analytical models, developing data pipelines, and applying statistical and machine learning techniques to solve complex business challenges. This position requires a balance of technical expertise, business acumen, and communication skills to translate data findings into actionable recommendations. + Develop and apply data solutions for cleansing data to remove errors and review consistency. + Perform analysis of data to discover information, business value, patterns and trends in support to guide development of asset business solutions. + Gather data, find patterns and relationships and create prediction models to evaluate client assets. + Conduct research and apply existing data science methods to business line problems. + Monitor client assets and perform predictive and root cause analysis to identify adverse trends; choose best fit methods, define algorithms, and validate and deploy models to achieve desired results. + Produce reports and visualizations to communicate technical results and interpretation of trends; effectively communicate findings and recommendations to all areas of the business. + Collaborate with cross-functional stakeholders to assess needs, provide assistance and resolve problems. + Translate business problems into data science solutions. + Performs other duties as assigned + Complies with all policies and standards Qualifications + Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience required or experience may be substituted for degree requirement required + Experience in data mining and predictive analytics. + Strong problem-solving skills, analytical thinking, attention to detail and hypothesis-driven approach. + Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences. + Proficiency with data visualization tools (Power BI, Tableau, or Python libraries). + Experience with Azure Machine Learning, Databricks, or similar ML platforms. + Expert proficiency in Python with pandas, scikit-learn, and statistical libraries. + Advanced SQL skills and experience with large datasets. + Experience with predictive modeling, time series analysis, and statistical inference. + Knowledge of A/B testing, experimental design, and causal inference. + Familiarity with computer vision for image/video analysis. + Understanding of NLP techniques for document processing. + Experience with optimization algorithms and operations research techniques preferred. + Knowledge of machine learning algorithms, feature engineering, and model evaluation. This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled. EEO/Disabled/Veterans Job Information Technology Primary Location US-WI-Appleton Schedule: Full-time Travel: Yes, 5 % of the Time Req ID: 253790 \#LI-MF #ACO N/A

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day. SUMMARY: As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems. YOUR IMPACT: * Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C. * Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns. * Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences. * Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements. * Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products. * Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. * Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands. * Coach and mentor other team members on new technologies and best practices across data science and business intelligence. * Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. * Actively supports the advancement of the strategic roadmap for data science. MINIMUM QUALIFICATIONS: * Bachelors degree with five (5) or more years of experience in the field or in a related area. STANDOUT QUALIFICATIONS: * Masters or doctorate degree * Expertise in Power Platforms * Familiarity with LLM (open source or closed) * Experience in Front end web app development (Flaskapp, Gradio etc) * Familiarity with RAG architecture Pay Range: $115,600.00 - $196,400.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at ******************************************. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

Project Data Analyst Co-op Department: Project Management / Product Engineering Term: Spring/Summer 2026 (January-August) Summer/Fall 2026 (May-December) Fully On-Site: This internship is not eligible for virtual work. About the Role As a Project Data Analyst Co-op, you will play an integral role in supporting our Project Management and Product Engineering teams. This immersive, full-time experience offers you an opportunity to apply your analytical and project management skills in a real-world setting. You'll work on meaningful projects, collaborate with experienced professionals, and contribute innovative ideas to help shape how we manage projects and resources. This co-op is designed to provide you with valuable experience, while allowing us to assess your potential for future full-time opportunities. College credit may be available, depending on your program. Responsibilities What You'll Do You will be responsible for supporting a variety of impactful projects, including: 1. Resource Planning Tools Development Leverage historical data, AI, and internal expertise to design and implement a database and set of tools for resource planning. Analyze project scopes and complexity to develop metrics that empower effective resource allocation. 2. Lessons Learned Database Creation Develop a robust database for documenting lessons learned, with a focus on risk management and project plan baselining. Collaborate with project teams to collect, classify, and structure knowledge for future use. 3. Metrics Identification & Implementation Identify and help implement key metrics for project management and engineering effectiveness. Regularly analyze and report on data to support strategic decision-making and process improvement. You will also have the opportunity to assist with additional special projects as assigned, all designed to stretch your capabilities and offer a comprehensive introduction to project analysis within a manufacturing environment. Qualifications Who You Are Majors Preferred: Analytics, Engineering, Project Management, or similar. Problem Solver: Able to collect and synthesize information from various sources to guide your work. Communicator: Able to clearly express complex ideas, tailor information to your audience, and present compelling findings. Change Agent: Enthusiastic about learning new systems and practices, and supporting change initiatives across teams. Creative Evaluator: Approaches tasks with a practical, innovative mindset and helps turn ideas into actionable plans. Qualifications Actively pursuing a degree in Analytics, Engineering, Project Management, or a related field Strong analytical, organizational, and problem-solving skills Proficiency in Excel and data visualization tools; experience with AI/machine learning tools is a plus Excellent written and verbal communication skills Eager to learn and participate in a dynamic, team-oriented environment On-site availability in Ripon, WI for the duration of the co-op term Why Join Us? Gain hands-on experience solving real business problems Contribute to meaningful projects that impact our organization Collaborate with and learn from professionals in your area of study Bring your ideas-we value fresh perspectives! Potential to earn college credit and future full-time employment consideration Ready to jump-start your career in project and data analysis? Apply today to join our team and make your impact! ID 2025-10641 Pos. Type Co-op

Your career at Deutsche Börse Group Your Area of Work Join Clearstream Fund Services as a Data Scientist to design and prototype data products that empower data monetization and business users through curated datasets, semantic models, and advanced analytics. You'll work across the data stack-from pipelines to visualizations-and contribute to the evolution of AI-driven solutions. Your Responsibilities * Prototype data products including curated datasets and semantic models to support data democratization and self-service BI * Design semantic layers to simplify data access and usability * Develop and optimize data pipelines using data engineering tool (e.g. Databricks) * Use SQL, Python, and PySpark for data processing and transformation * Create Power BI dashboards to support prototyping and reporting * Apply ML/AI techniques to support early-stage modeling and future product innovation * Collaborate with data product managers, functional analyst, engineers, and business stakeholders * Ensure data quality, scalability, and performance in all deliverables Your Profile * Master's in Data Science, Computer Science, Engineering, or related field * 3+ years of experience in data pipeline development and prototyping in financial services or fund administration * Proficiency in SQL, Python, and PySpark * Hands-on experience with Databricks * Experience building Power BI dashboards and semantic models * Strong analytical and communication skills * Fluent in English

This role provides support to the Strategic Partners Operational and Business Development teams as well as working functionally with other key areas of the business, if needed. This role is critical to help supporting the everyday functions of the SP team including but not limited to: managing existing partner relationships, data analytics, operational process audits, agent engagement call campaigns and other tasks as see fit. WHY Jewelers Mutual: Since 1913 we've been committed to supporting the Jewelry industry and putting customers at the center of everything we do. With over a century of trusted expertise, we're financially strong, forward-thinking, and driven by curiosity. Guided by our core values of Agility, Accountability, and Relevancy, we lead through innovation. As a technology focused organization, we embrace cutting-edge tools and data-driven insights to continuously improve our products, services, and customer experience. Our mission is to be the industry's most trusted advisor by investing in our people, adopting new technologies, and striving for excellence. We're dedicated to fostering growth through collaboration, powered by bold thinking, teamwork, and the passion of our people. Here, you'll: Move fast and embrace change Always look for better ways Grow, thrive, and help shape what's next Join us and be part of a culture where you can make an impact while building your future. What you'll do: Responsible for market research using various resources to understand the prospects' business models, opportunity size/type, and value proposition/market complement to current Strategic Partners suite of relationships. May be asked to compose written correspondence to key stakeholders on updates, changes and/or announcements. Execute call campaigns for varies initiatives that promote brand awareness, agent engagement and agency registration. Assist with agent/partner events, lunch & learn sessions, and partner meetings Work closely with Account Managers to understand, document and illustrate market analysis across Strategic Partners Draft, edit and prepare correspondence, reports and other material using Microsoft Office (Word, PowerPoint, Excel, Outlook) applications, SalesForce, and internal databases Create and maintain data production spreadsheets as well as be able analyze data, evaluate trends and offer improvement strategies to increase ROI. Contributes to Strategic Partners Top Initiatives by accomplishing related duties as required. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. What you'll bring: Must be pursuing a Bachelor's Degree in Communication, Business Administration, Marketing, or a similar field. Junior or senior standing at the time of the internship is preferred. Must be able to work full-time in Neenah, WI during the summer and potential opportunity to extend internship to work part-time during the school year Must have strong attention to detail Must be a self-starter who can work independently and autonomously Must be strong with cross-functional collaboration Must be able to handle confidential information with discretion. Must exhibit strong verbal and written communication skills Willingness to manage multiple tasks, adhering to rules of engagement, be comfortable with deadlines and strong attention to details with minimal error. What We Offer You: Collaborative Culture: Work alongside talented, passionate peers who value ownership and continuous learning. Community & Giving: Benefit from 50% charitable gift matching and paid volunteer time to support nonprofit causes Great Place to Work Certified: Join a team recognized for an environment of innovation and growth. Accessibility and Accommodations We are committed to providing an inclusive and accessible recruitment process. If you require accommodation at any stage of the application or interview process, please let us know by contacting *************************.

About the Role We're looking for a Business Intelligence Intern to support the transition from Stratum to Power BI by developing, designing, and maintaining dashboards and reports that enable data-driven decision-making. This internship provides hands-on, project-based experience working with business stakeholders to understand reporting needs, build intuitive visualizations, and support user adoption through training and documentation. What You'll Do: Develop, design, and maintain dashboards and reports in Power BI to support the transition from Stratum Partner with business stakeholders to understand data requirements and how users interact with reports Recreate existing Stratum reports and use cases within Power BI Support ad hoc reporting and data analysis as needed Analyze and validate data to ensure accuracy and reliability of reports Assist with rollout and adoption of new reports by creating training materials and supporting user training Help streamline reporting processes by enabling real-time, centralized access to data What We're Looking For: Pursuing a Bachelor's degree in Business Analytics, Information Systems, Data Analytics, Computer Science, or a related field Strong analytical and problem-solving skills Interest in data visualization, reporting, and business intelligence Familiarity with Power BI, SQL, or similar reporting tools is a plus Ability to communicate technical concepts to non-technical stakeholders Comfortable working with data and collaborating across teams Organizational Values Safety - Teamwork - Customer Focus - Ownership - Initiative - Creativity At Hoffmaster, our Organizational Values and strong sense of Integrity guide how we work and engage with each other every day. The Business Intelligence Intern will demonstrate these values by supporting accurate, reliable reporting that promotes operational Safety and informed decision-making. This role exemplifies Teamwork through close collaboration with business stakeholders and data partners to ensure reporting solutions meet user needs. The intern maintains a strong Customer Focus by enabling timely access to meaningful insights; takes Ownership of assigned dashboards and documentation; shows Initiative by identifying opportunities to improve reporting efficiency and usability; and applies Creativity to design clear, intuitive visualizations that support Hoffmaster's transition to a centralized Power BI reporting environment.

Join the Steinhafels Team as a Sales Intern! Work alongside Steinhafels' Store and Sales Managers to learn how to successfully execute the mission statement by helping customers make their homes more beautiful. Interns will be fully trained sales associates and also receive training in e-commerce, customer service, marketing, our accounting department, human resources, merchandising and more. Sales interns will also be exposed to opportunities that will enhance their leadership skills. The Sales intern position has potential to grow into a leadership position amongst our sales team. What sets Steinhafels apart as a top destination for interns? * Amazing Earning Potential: This is a full commission sales position with no cap on income potential. During your first 4 pay periods of training, you'll receive an additional $15/hour bonus on top of your commissions. * Generous Training & Support: We offer paid training and provide all the tools you need to succeed. You'll work with top-quality products and an excellent service and delivery team. * Opportunities for Growth: Our interns have the opportunity to gain exposure to all areas of our organization and explore potential career paths at Steinhafels. Many of our interns have gone on to join us in professional sales, management, and corporate roles after graduation. Steinhafels, founded in 1934, is an employee-owned, family-run company. Our associates have voted us a Top Workplace in Southeastern Wisconsin 10 times! With our positive company culture and strong focus on work-life balance for our associates, we continue to be an employer of choice and are looking to add to our dynamic team. Responsibilities * Asking probing questions to understand the customers' needs• Guiding customers through the store and directing them to products, which meet their needs• Clarifying differences in products• Arranging payment and delivery for sales• Accurately completing all necessary paperwork• Customer follow-up via phone calls and/or thank you note• Utilizing good sales techniques, while following all company procedures• Always keeping customer satisfaction as the top priority Qualifications You must be comfortable using and training on computers and be available to work standard retail business hours, including nights and weekends, when our customers shop the most. Zipcode 54304

Job DescriptionThe V3 Electric Marketing internship is an opportunity like no other. Here you will have the opportunity to learn and develop crucial skills in sales, persuasion, work ethic, and professional communication. Completing the V3 program will allow you to fill your resume with real numbers, data and professional experiences. Don't wait, get a head start and come join the team today! Responsibilities & Expectations Develop, refine and master sales and communication skills Successfully engage with clients and provide necessary support for success Promote like-minded success through friendly competition and growth mindset training Be coachable Promote positivity and creative thinking in order to help your team's sales and customer service processes Learn how to effectively use sales technologies such as CRM's Learn how to generate leads and build a pipeline through cold contacting and door to door contacting. Qualifications & Skills Verbal communication Organization Scheduling Time management Professionalism Customer focus Earnings & Company Benefits Average First Year earns $ 25,000-$30,000 in commission (Realistic opportunity to make more) Multiple extra bonuses, competitions, incentives/prizes and opportunities are available Housing/furniture set up for all our employees Networking opportunities Potential opportunity for full-time upon hiring The opportunity to network with like-minded Individuals from all over the country Health and Dental Lifetime gym membership Leadership development The opportunity to live in The San Francisco Bay Area. E04JI802qmf3407oamo

JOB DESCRIPTIONJob Summary Designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, analysis, modeling, and predicting to enable informed business decisions. Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. Collaborates across departments and with customers to define requirements and understand business problems. Uses advanced mathematical, statistical, querying, and reporting methods to develop solutions. Develops information tools, algorithms, dashboards, and queries to monitor and improve business performance. Creates solutions from initial concept to fully tested production, and communicates results to a broad range of audiences. Effectively uses current and emerging technologies. KNOWLEDGE/SKILLS/ABILITIES * Extracts and compiles various sources of information and large data sets from various systems to identify and analyze outliers. * Sets up process for monitoring, tracking, and trending department data. * Prepares any state mandated reports and analysis. * Works with internal, external and enterprise clients as needed to research, develop, and document new standard reports or processes. * Implements and uses the analytics software and systems to support the departments goals. JOB QUALIFICATIONS Required Education Associate's Degree or equivalent combination of education and experience Required Experience 1-3 years Preferred Education Bachelor's Degree or equivalent combination of education and experience Preferred Experience 3-5 years To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $77,969 - $116,835 / ANNUAL * Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. About Us Molina Healthcare is a nationwide fortune 500 organization with a mission to provide quality healthcare to people receiving government assistance. If you are seeking a meaningful opportunity in a team-oriented environment, come be a part of a highly engaged workforce dedicated to our mission. Bring your passion and talents and together we can make a difference in the lives of others. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day. The position supports Oshkosh Corporation's investor relations activities through data-driven shareholder analysis and strategic investor targeting. This role will work closely with senior leadership to assess current and historical shareholder trends, benchmark against peer companies and identify new institutional and ETF investors aligned with the company's Innovate. Serve. Advance. strategy. The successful candidate will gain meaningful exposure to the capital markets and contribute insights used in executive-level decision-making. YOUR IMPACT These duties are not meant to be all-inclusive and other duties may be assigned. Analyze Oshkosh's current shareholder base to identify ownership trends, investor concentrations and engagement opportunities Evaluate historical shareholder movements and turnover patterns to provide context for targeting strategies Benchmark peer company shareholder profiles to assess gaps and new investor opportunities Develop a structured investor targeting database with segmentation by investor type, size, style and activity Identify and prioritize traditional institutional investors and ETFs with strategies aligned to Oshkosh's end markets and long-term growth outlook Prepare summary reports, dashboards and visuals highlighting shareholder dynamics and potential investor targets Support the development of investor targeting lists and outreach strategies for upcoming roadshows and conferences Participate in IR team activities such as earnings preparation, investor outreach and post-call analytics as needed Contribute research and insights to improve the quality of Oshkosh's shareholder base MINIMUM QUALIFICATIONS Current enrollment in an MBA program with a focus in Finance, Strategy or related field Strong analytical and quantitative skills with experience using Excel and PowerPoint; exposure to capital markets data tools preferred Demonstrated ability to interpret financial and market data to derive actionable insights Excellent written and verbal communication skills, capable of summarizing complex topics for executive audiences High attention to detail, intellectual curiosity and strong initiative Ability to work collaboratively and manage multiple priorities in a fast-paced environment Interest in investor relations, equity markets and institutional investor behavior Ability to work up to 40 hours per week during the summer internship period Pay Range: $18.00 - $37.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at ******************************************. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

You've discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And ─ as “one of the Healthiest 100 Workplaces in America” ─ is focused on the mind/body/soul of team members through our Culture of Care. The Business Analyst Intern assists in providing support to business technology managers, business partners, project analysts, resources, and external resources to understand and achieve business objectives. They may also participate in meetings with stakeholders, documenting needs & business processes, and uncovering opportunities for continuous improvement. Attention to detail, organization, facilitation, communication, business process improvement, and self-initiative are key skills for this role. MINIMUM REQUIREMENTS Education: Some education completed in pursuit of Information Technology, Project Management, Analyst or Business degree. or Any appropriate combination of education and experience as determined by management. Travel: 10% Work Schedule: This position works between the hours of 7 AM and 5 PM, Monday- Friday. Ability to work a flexible schedule as necessary. KEY RESPONSIBILITIES Under the guidance and supervision of the Business Analyst mentor, the BA Intern will assist in the following areas: Relationship and Communication Management: Develops and maintains a productive working relationship with BT Business Partners, Project Analysts, business owners, project sponsors, vendors, and key clients. Aids in developing business cases/justification by performing research and collecting data. Assists in mentoring other junior team members. Requirements Management: Uses standard templates and methods, collects, analyzes, develops, and documents the business requirements. Assists project managers in managing project scope, maintaining visibility to status and mitigating risks or issues. Backs up the project manager, when necessary, by leading project meetings and portfolio reporting status of assigned projects. Problem Solving and Analysis: Facilitates gathering of information required to determine level of effort for estimating cost, scope, timeline, process, and resources needed for project completion. Creates as-is and future state documentation. Performs troubleshooting to understand problems and create a recommendation for a resolution. Ensures project, technical and business requirements, functional and non-functional, are identified and achieved throughout project execution. Aides the project manager in resolving conflicts in priorities, tasks, dependencies for the project team when appropriate. Identifies other potential project predecessors or impacts and options to mitigate risk or complexities. Testing: Develops test cases to ensure requirements are met. Performs testing before user acceptance activities. Facilitates user acceptance testing liaising with the technical team members on issues identified. Manages issue resolution. Performs other related duties as required and assigned. The job description and responsibilities described are intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. How Does FTI Give YOU the Chance to Thrive? If you're energized by new challenges, FTI provides you with many opportunities. Joining FTI opens doors to redefine what's possible for your future. Once you're a team member, you're supported and provided with the knowledge and resources to achieve your career goals with FTI. You're officially in the driver's seat of your career, and FTI's career development and continued education programs give you opportunities to position yourself for success. FTI is a “merit to the core” organization. We recognize and reward top performers, offering competitive, merit-based compensation, career path development and a flexible and robust benefits package. Benefits are the Game-Changer We provide industry-leading benefits as an investment in the lives of team members and their families. You're invited to review the full list of FTI benefits available to regular/full-time team members. Start here. Grow here. Succeed here. If you're ready to learn more about your career with FTI, apply today! Faith Technologies, Inc. is an Equal Opportunity Employer - veterans/disabled.

The Product Analyst Intern will assist in a wide variety of projects supporting our Product teams. This individual will work alongside product analysts and regulatory compliance analysts, learn about insurance, data analytics, finance and accounting, regulatory compliance, and the jewelry industry, providing experience that will help prepare them for a career in any of these areas after graduation. WHY Jewelers Mutual: Since 1913 we've been committed to supporting the Jewelry industry and putting customers at the center of everything we do. With over a century of trusted expertise, we're financially strong, forward-thinking, and driven by curiosity. Guided by our core values of Agility, Accountability, and Relevancy, we lead through innovation. As a technology focused organization, we embrace cutting-edge tools and data-driven insights to continuously improve our products, services, and customer experience. Our mission is to be the industry's most trusted advisor by investing in our people, adopting new technologies, and striving for excellence. We're dedicated to fostering growth through collaboration, powered by bold thinking, teamwork, and the passion of our people. Here, you'll: Move fast and embrace change Always look for better ways Grow, thrive, and help shape what's next Join us and be part of a culture where you can make an impact while building your future. What you'll do: Document Review & Consolidation: Review and update existing materials, ensuring consistency and accessibility across all documents. Data Integrity: Maintain data accuracy by identifying and resolving inconsistencies in databases, focusing on improving data quality and reliability. Data Analysis & Reporting: Analyze operational data to identify trends, generate insights, and provide recommendations that drive process improvement and efficiency. Process Improvement Support: Assist with the refinement of onboarding procedures and the maintenance of internal systems to ensure smooth operations and updated records. General Administrative Support: Provide administrative and operational support across a variety of tasks and projects, ensuring smooth workflow and timely completion of assignments. Learn about the insurance industry through job shadowing and ride-along opportunities Assist with technology upgrades To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. What you'll bring: Currently pursuing a Bachelor's degree in Finance, Data Science, Analytics, Actuarial Science, or similar field. Will be junior or senior standing at the time of the internship. Must be able to work full-time in Neenah, WI during the summer and potential opportunity to extend internship to work part-time during the school year. Eagerness to learn and adapt in a fast-paced environment. Proficient in Microsoft Excel and Word Excellent organizational skills with attention to detail Ability to work independently and manage multiple projects simultaneously Must exhibit strong verbal and written communication skills Embraces change, leads by example, maintains a positive work environment and ongoing learning culture What We Offer You: Collaborative Culture: Work alongside talented, passionate peers who value ownership and continuous learning. Community & Giving: Benefit from 50% charitable gift matching and paid volunteer time to support nonprofit causes Great Place to Work Certified: Join a team recognized for an environment of innovation and growth. Accessibility and Accommodations We are committed to providing an inclusive and accessible recruitment process. If you require accommodation at any stage of the application or interview process, please let us know by contacting *************************.

Join the Steinhafels Team as a Sales Intern! Work alongside Steinhafels' Store and Sales Managers to learn how to successfully execute the mission statement by helping customers make their homes more beautiful. Interns will be fully trained sales associates and also receive training in e-commerce, customer service, marketing, our accounting department, human resources, merchandising and more. Sales interns will also be exposed to opportunities that will enhance their leadership skills. The Sales intern position has potential to grow into a leadership position amongst our sales team. What sets Steinhafels apart as a top destination for interns? Amazing Earning Potential: This is a full commission sales position with no cap on income potential. During your first 4 pay periods of training, you'll receive an additional $15/hour bonus on top of your commissions. Generous Training & Support: We offer paid training and provide all the tools you need to succeed. You'll work with top-quality products and an excellent service and delivery team. Opportunities for Growth: Our interns have the opportunity to gain exposure to all areas of our organization and explore potential career paths at Steinhafels. Many of our interns have gone on to join us in professional sales, management, and corporate roles after graduation. Steinhafels, founded in 1934, is an employee-owned, family-run company. Our associates have voted us a Top Workplace in Southeastern Wisconsin 10 times! With our positive company culture and strong focus on work-life balance for our associates, we continue to be an employer of choice and are looking to add to our dynamic team. Responsibilities • Asking probing questions to understand the customers' needs • Guiding customers through the store and directing them to products, which meet their needs • Clarifying differences in products • Arranging payment and delivery for sales • Accurately completing all necessary paperwork • Customer follow-up via phone calls and/or thank you note • Utilizing good sales techniques, while following all company procedures • Always keeping customer satisfaction as the top priority Qualifications You must be comfortable using and training on computers and be available to work standard retail business hours, including nights and weekends, when our customers shop the most. Zipcode 54304

Job DescriptionThe V3 Electric Marketing internship is an opportunity like no other. Here you will have the opportunity to learn and develop crucial skills in sales, persuasion, work ethic, and professional communication. Completing the V3 program will allow you to fill your resume with real numbers, data and professional experiences. Don't wait, get a head start and come join the team today! Responsibilities & Expectations Develop, refine and master sales and communication skills Successfully engage with clients and provide necessary support for success Promote like-minded success through friendly competition and growth mindset training Be coachable Promote positivity and creative thinking in order to help your team's sales and customer service processes Qualifications & Skills Verbal communication Organization Scheduling Time management Professionalism Customer focus Earnings & Company Benefits Average First Year earns $ 25,000-$30,000 in commission (Realistic opportunity to make more) Multiple extra bonuses, competitions, incentives/prizes and opportunities are available Housing/furniture set up for all our employees Networking opportunities Potential opportunity for full-time upon hiring The opportunity to network with like-minded Individuals from all over the country Health and Dental Lifetime gym membership Leadership development The opportunity to live in The San Francisco Bay Area. E04JI802qmf3407p5vp