Data science internship jobs in Grand Junction, CO

Denver, CO 12+ Months Contract Complete Onsite Experience Required:9+ Years • 7+ years of progressive experience in Data Science, Business Analytics, or a related quantitative field, with at least 2 years in a managerial or team lead capacity. • Master's degree in Business Analytics, Data Science, or a quantitative field. • Active CPA license or a strong accounting/finance background is highly preferred, demonstrating an understanding of financial reporting, cost management, and revenue reconciliation processes. Expert-level proficiency in: o Programming languages: Python (for AI/Neural Networks, web scraping, ETL) and R (for statistical modeling and machine learning). o Database management: SQL (complex querying, data manipulation). o Data Visualization: Tableau and PowerBI. • Proven track record of delivering significant, quantifiable business value and cost savings (e.g., multi-million dollar recovery/savings). • Excellent communication and presentation skills, with the ability to clearly articulate complex analytical findings to a non-technical executive audience. Please note - Centraprise is an equal opportunity employer. Applicants must be authorized to work in the U.S. U.S. Citizens and Green Card holders are strongly encouraged to apply. We respect your online privacy. If you would like to be removed from our mailing list please reply with "Remove" in the subject and we will comply immediately. We apologize for any inconvenience caused. Please let us know if you have more than one domain. The material in this e-mail is intended only for the use of the individual to whom it is addressed and may contain information that is confidential, privileged, and exempt from disclosure under applicable law. If you are not the intended recipient, be advised that the unauthorized use, disclosure, copying, distribution, or the taking of any action in reliance on this information is strictly prohibited. We are an equal opportunity employer with a diverse workforce.

Job Title: Data Scientist Job-Type: Full-Time We are seeking a Data Scientist focused on fraud detection and prevention to join a growing fraud detection team. In this role, you will use advanced analytics, machine learning, and statistical modeling to uncover hidden fraud patterns, monitor portfolio health, and design proactive solutions that protect the business, customers, and retail partners. Your work will directly strengthen defenses, reduce fraud losses, and build customer trust. Duties & Responsibilities: Develop and deploy fraud detection models and strategies using Python and SQL. Engineer fraud-specific features (e.g., velocity checks, behavioral profiling, device/IP analysis). Analyze portfolio trends, monitor fraud risks across customer and merchant segments, and design proactive controls. Partner with the Fraud Prevention Manager and broader fraud/data science teams to close fraud gaps. Share insights and recommendations with leadership to influence fraud strategy and decision-making. Support hybrid rule and machine-learning based fraud prevention platforms (e.g., Kount, CyberSource, Signifyd). Required Experience & Skills: Degree in Data Science, Mathematics, Computer Science, Statistics, or related field. 3+ years' experience programming in Python (NumPy, Pandas, Scikit-learn, XGBoost). 2+ years' experience with SQL (Snowflake experience a plus). Knowledge of fraud typologies, attack vectors, and vulnerabilities. Understanding of the chargeback dispute/management process. Strong problem-solving skills with the ability to balance fraud loss, customer experience, and portfolio performance. Ability to work independently and take ownership of solutions. Employment Eligibility: Gravity cannot transfer nor sponsor a work visa for this position. Applicants must be eligible to work in the U.S. for any employer directly (we are not open to contract or “corp to corp” agreements).

Internship Opportunity: Data Science Department: BCI Neuralace - Data Science Duration: 3 Months - 6 Months (Possible Contract Extension) Our Mission Blackrock Neurotech is 100% focused on improving human lives through neuroscience research and technology. The passion and dedication behind this mission has nurtured a dynamic, enjoyable and fulfilling corporate environment in which learning, and growth are commonplace. We operate in an innovative field that requires our staff to meet the highest standards. Every step of the way, we encourage one another by providing continuous motivation and promoting a healthy work environment. Community Contributions Not only are Blackrock's employees committed to improving lives through their work, but many also strive to improve the community by volunteering in their spare time. Our efforts vary from donating blood and feeding the hungry to volunteering at the Utah Food Bank. We also value community education -teaching science labs to children, coaching sports teams, and teaching first aid courses. We take pride in our employee's extracurricular activities that contribute to the betterment of local communities. Disclosure In order to provide a safe and productive work environment, all offers of employment at Blackrock Neurotech are contingent upon a thorough background check. A criminal history will not automatically disqualify a candidate from an offer of employment. About Neuralace Neuralace is advancing the future of brain-computer interface (BCI) technology through innovation, precision, and purpose. We're growing a team dedicated to developing groundbreaking neurotech solutions that bridge the gap between science and real-world impact. About the Internship At the forefront of patient-focused research, the BCI Clinical team uncovers the scientific insights that make tomorrow's brain-computer interfaces possible. Our neuroscientists, engineers, and clinicians work side by side with research and engineering partners to tackle the most pressing challenges in BCI. We champion rigorous experimental design, thoughtful inquiry, and a collaborative spirit. Technical Skills * Strong Python programming and software engineering fundamentals * Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn) * Signal processing expertise (filtering, Fourier/wavelet transforms, feature extraction) * Knowledge of neural decoding methods and real-time data streaming Analytical Abilities * Ability to build and validate predictive models * Statistical rigor in model evaluation and performance tuning * Data-wrangling skills for large, high-dimensional datasets Personal Qualities * Curiosity and creativity in algorithm design * Collaborative mindset for working with engineers, clinicians, and researchers * Comfort explaining complex data insights to mixed audiences Internship Benefits * Public transportation pass reimbursement (up to $100/month) * Company swag * Company-sponsored events * Company-sponsored intern social events * 12 company-paid holidays * 3 paid sick days * Employee recognition program * Weekly catered lunches * Fully stocked kitchen with snacks and drinks

Posting TitleGraduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis . . TypeIntern (Fixed Term) . Hours Per Week40 . Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The Geospatial Data Science (GDS) team within the Strategic Energy Analysis Center at the National Laboratory of the Rockies (NLR) is seeking a 6-12-month intern to support modeling and analysis. The GDS group conducts research at the intersection of energy deployment, big data science, and geospatial modeling and visualization. Our team of researchers develops and applies geospatial algorithms and methods to evaluate the deployment potential for energy technologies, including geothermal, hydropower, transmission, bioenergy, wind, and solar. Geospatial modeling at NLR enables detailed techno-economic assessment, capacity expansion, and power systems modeling of energy resources under a variety of regulatory, sociopolitical, and environmental factors from local to continental scales. The successful intern candidate will support a large and diverse modeling portfolio with activities involving geospatial analyses, literature reviews, cartography, scientific programming, and tasks focused on data preparation, processing, and validation. This position will assist geospatial scientists in developing novel analytical solutions to complex challenges in energy siting, deployment, and adoption. Candidates should be interested in working in an interdisciplinary field, together with geospatial data scientists, software developers, and policy analysts, which will require excellent interpersonal and communication skills. Duties will include: Manipulating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis Preparing and processing geospatial data using open-source desktop software and programmatic approaches Conducting background research on data sets, current modeling approaches, and existing tools Developing literature reviews under the guidance of research scientists Programming and scripting in Python to conduct analysis and visualize data Working in distributed computing environments including internal servers, NREL's high-performance computing (HPC) system and the Cloud . Basic QualificationsMinimum of a 3.0 cumulative grade point average. Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution. Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution. Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution. Please Note: • Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process. • If selected for position, a letter of recommendation will be required as part of the hiring process. • Must meet educational requirements prior to employment start date. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Must have completed a bachelor's degree and either: be enrolled in or recently graduated from a master's degree or currently enrolled in a PhD program in fields such as: Geography/GIS, Environmental Science, Computer Science, Engineering, or a related technical field To be considered, all candidates must include in their resume and an online code repository such as GitHub with several publicly visible coding projects. Alternatively, please explain in your cover letter why your application does not include a code repository and/or several examples of previous projects Demonstrated experience working independently with programming skills in python and libraries such as geopandas, numpy, scipy, shapely, pyproj Proficiency and experience with geospatial analysis and modeling techniques using open-source tools, such as QGIS; (please note that ESRI tools are not used in this research group) Experience working with geographic transformations and projections Ability to work within a dynamically evolving digital environment as a member of collaborative and often-dispersed team Critical thinking skills; analytic and research skills; written and verbal communication skills Preferred Qualifications Experience with linux/unix Experience with collaborative code development Experience with Machine Learning Experience with the Geospatial data abstraction library (GADL) Experience with big geospatial data processing . Job Application Submission Window The anticipated closing window for application submission is up to 30 days and may be extended as needed. Annual Salary Range (based on full-time 40 hours per week) Job Profile: / Annual Salary Range: $43,700 - $69,900 NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions. Benefits SummaryBenefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits. * Based on eligibility rules Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.Drug Free Workplace NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. Submission Guidelines Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. . Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Reasonable Accommodations E-Verify ******************** For information about right to work, click here for English or here for Spanish. E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.

Creating Peace of Mind by Pioneering Safety and Security At Allegion, we help keep the people you know and love safe and secure where they live, work and visit. With more than 30 brands, 12,000+ employees globally and products sold in 130 countries, we specialize in security around the doorway and beyond. Additionally, in 2024 we were awarded the Gallup Exceptional Workplace Award, which recognizes the most engaged workplace cultures in the world. Summer Intern, Product Data - Indianapolis, Indiana As a Product Data Intern on the Global Engineering Solutions team, you will contribute meaningful work and make a direct impact to the Global Engineering Competency. You will gain valuable experience in defining and scoping requirements for process workflows, testing engineering tool enhancements and upgrades, developing training materials, and proactively improving product data integrity for existing products. Additional opportunities include cross-functional collaboration outside of Engineering, learning about material compliance and sustainability in the door hardware industry, and honing your communication skills through customer service and training opportunities. If you are seeking a summer experience that offers meaningful work, learning opportunities, professional development and an opportunity to build strong relationships with your peers and leaders, Allegion is the right place for you! Qualified candidates must be legally authorized to be employed in the United States. The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position. What You Will Do: * Work with an international team to produce and implement well-rounded CAD and/or PLM solutions * Drive continuous improvement on Allegion's globally used Enterprise processes * Develop, release, and maintain process related documentation and training materials * Learn about, evaluate, and share best practices on product data software tools and capabilities * Update CAD and/or PLM product data to comply with internal best practices and standards * Deepen your understanding in CAD modeling and product data management best practices * Obtain the experience to create a foundation for growth and future opportunities within Allegion What You Need To Succeed: * Pursuing a degree in a relevant discipline, e.g., Mechanical Engineering, Mechanical Engineering Technology, Computer Graphics Technology, Digital Enterprise Systems, or other technical field * Demonstrated leadership ability and initiative, e.g., school club officer, sports team captain, resident advisor, leadership on school or work projects, etc. * Experience with 3D CAD Modeling and PLM software, PTC products (Creo and Windchill) preferred * Ability to work in both a team and individual setting * Resiliency and ability to adapt quickly * Effective listening, time management and creative problem-solving techniques * A desire to learn, grow and develop by working on projects that will impact Allegion's business and customers Why Work for Us? Allegion is a Great Place to Grow your Career if: * You're seeking a rewarding opportunity that allows you to truly help others. With thousands of employees and customers around the world, there's plenty of room to make an impact. As our values state, "this is your business, run with it". * You're looking for a company that will invest in your professional development. As we grow, we want you to grow with us. * You want a culture that promotes work-life balance. Our employees enjoy generous paid time off, because at Allegion we recognize that you have a full life outside of work! * You want to work for an award-winning company that invests in its people. Allegion is proud to be a recipient of the Gallup Exceptional Workplace Award for the second year in a row, recognizing our commitment to employee engagement, strengths-based development, and unlocking human potential. What You'll Get from Us: * An opportunity to be a part of a dedicated team that collaborates on real, hands-on projects * Professional Growth through exposure to Allegion's leaders, professional development and skill building opportunities, and mentor/mentee relationships * Meaningful time to network and get to know your peers through Allegion sponsored activities hosted by the Talent Attraction Team * Opportunities to leverage your unique strengths through Clifton Strengths testing and coaching Join our team of experts today and help us make tomorrow's world a safer place! Not sure if your experience perfectly aligns with the role? Studies have shown that some people are less likely to apply to jobs unless they meet every single qualification and every single preferred qualification of a job posting. At Allegion, we are dedicated to building a diverse, inclusive, and authentic workplace. So, if you're excited about this role but your past experience doesn't align perfectly with every item in the job description, we encourage you to apply anyway. You may be just the right candidate for this role. #ALLEGION Colorado Springs CO Hancock We Celebrate Who We Are! Allegion is committed to building and maintaining a diverse and inclusive workplace. Together, we embrace all differences and similarities among colleagues, as well as the differences and similarities within the relationships that we foster with customers, suppliers and the communities where we live and work. Whatever your background, experience, race, color, national origin, religion, age, gender, gender identity, disability status, sexual orientation, protected veteran status, or any other characteristic protected by law, we will make sure that you have every opportunity to impress us in your application and the opportunity to give your best at work, not because we're required to, but because it's the right thing to do. We are also committed to providing accommodations for persons with disabilities. If for any reason you cannot apply through our career site and require an accommodation or assistance, please contact our Talent Acquisition Team. Allegion plc, 2023 | Block D, Iveagh Court, Harcourt Road, Dublin 2, Co. Dublin, Ireland REGISTERED IN IRELAND WITH LIMITED LIABILITY REGISTERED NUMBER 527370 Allegion is an equal opportunity and affirmative action employer Privacy Policy

As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Position Overview: Join Thermo Fisher Scientific Inc. as a Quality Specialist - Data Analysis and play a pivotal role in ensuring flawless data quality and outstanding insights! This ambitious role offers the opportunity to work with world-class teams, strictly focusing on data analysis to determine and successfully implement improvements in quality metrics. Key Responsibilities: Extract, clean, and analyze quality metrics data from various sources. Build and manage dashboards for displaying key performance metrics and quality data. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Identify trends, patterns, and anomalies in data to support continuous improvement initiatives. Ensure data accuracy and integrity by performing regular audits and validation checks. Present findings and recommendations to team members through clear and concise reports and visualizations. Automate data collection and reporting processes to improve efficiency. Stay updated with industry standard methodologies and emerging trends in data analysis and visualization. Qualifications: Pursuing Master's degree or equivalent experience in Data Science, Statistics, Computer Science, or a related field. Must graduate between December 2026 - June 2027. Proven experience as a Data Analyst or in a similar role. Proficiency in data visualization tools such as Tableau, Power BI, or similar. Solid understanding of SQL and experience with database management. Familiarity with statistical analysis and data modeling techniques. Excellent problem-solving skills and attention to detail. Strong communication skills, both written and verbal. Ability to work independently and as part of a team. Experience with Python or R for data analysis is a plus. Start Date: This internship is set to begin on either May 11th or June 15th, 2026 for a duration of 10-12 weeks - dependent upon student availability per academic calendars. Compensation & Relocation: Our undergraduate Operations internships offer an hourly rate between $21.50 - $28.75 dependent upon the location you are supporting (aligned to respective cost-of-living guidelines). Additionally, a relocation stipend is offered in the amount of $5,000 if necessary. Student must be located 50+ miles away from the physical location of the internship to be eligible for the relocation stipend. To qualify, applicants must be legally authorized to work in the United States and should not require sponsorship (current or future) for employment visa status. Thermo Fisher does not offer employment in this position to holders of F-1, J-1, H-1, OPT, and CPT Visas for the purpose of obtaining practical experience.

Job Description Summary:This opportunity is open ONLY to undergraduates enrolled in a degree-seeking program at a U.S. university or college. The NESSI program cannot accommodate students who are attending schools on a quarterly schedule. The NSF National Center for Atmospheric Research (NCAR) Education, Engagement, and Early Career Development (EdEC) seeks undergraduate Earth System Science students to participate as interns in the 2026 NSF NCAR Earth System Science Internship (NESSI). The 2026 NESSI will run for 11 weeks, from May 18 - July 31, 2026. Interns collaborate with NSF NCAR scientists and engineers on research across any NSF NCAR laboratories, exploring a wide range of topics in Earth system science, such as atmospheric science, computational science, engineering, and solar and space physics. Beyond the core geosciences, NSF NCAR's interdisciplinary mission encourages the integration of various fields to address complex challenges in climate, weather, and related Earth system disciplines. As a result, there are also valuable opportunities for projects in data science, social science, and science education. Each research project is shaped by the student's interests and the availability of an NSF NCAR mentor working in a related field or topic.Position Details: Visa Sponsored Job: No Relocation Assistance Eligible: No Job Location: Boulder, Colorado Position Type & Term: Full time, Term - less than 6 months (Fixed Term) Compensation Min - Mid Range: Hourly Rate: $23.41 Application Notes To know more about the Internship and the Application requirements, please visit this website: ************************************ Job Location: Boulder, CO Job Type: In Person (Interns are required to be on-site for the entire duration of the Internship) The Internship duration is 11 weeks, from May 18 to July 31, 2026 Visa sponsorship is NOT available for this position. Relocation Assistance is NOT available for this position. Application Deadline: January 4, 2026. Required application materials: Please review our AI Usage guidelines here before submitting your application material: 1. Resume 2. Unofficial transcript 3. Cover letter (not-to-exceed two pages and must include the following topics): Motivation for applying : Describe why you are interested in an internship at NSF NCAR. What aspects of NSF NCAR's mission, research areas, or mentorship opportunities most appeal to you? Research Interests : Briefly summarize your primary research interests or topics you are most curious about within the Earth system sciences. Educational & Career Goals : Please describe how an internship would benefit your education and career goals. Discuss what you hope to contribute to the internship cohort and NESSI program. Background Checks: Conducted for candidates selected for hire. Learn more. What You Will Do Here is a brief summary of what one would expect to be generally responsible for in this role. Key Responsibilities: Research: Interns work with NSF NCAR scientists to conduct research in any NSF NCAR lab(s) on a wide range of topics, including atmospheric science, computational science, engineering, and solar & space physics. In addition to research in core geosciences, NSF NCAR has a strong interdisciplinary mission to apply knowledge from other fields to address significant issues in climate, weather, and related disciplines. Thus, there is also a significant opportunity for data science, social science, and science education projects. Research projects should be defined by the student's interest and the ability to pair them with a mentor working in a similar field or topic. Reports and Presentations: At the conclusion of the summer program, each intern prepares an oral and poster presentation of their work to be presented either in person or virtually to scientists, staff, and peers. Community and Professional Behavior: NESSI interns work together and are part of a larger community of UCAR and NSF NCAR summer interns. NESSI interns will conduct themselves in an appropriate and professional manner, adhering to UCAR's Code of Conduct. Interns are expected to participate during regular office hours, when NESSI functions fully, and while traveling for the internship. Who We'd Love To Join Our Team Successful candidates will ensure their application materials speak to the following criteria: Education and Experience REQUIRED: MUST be currently enrolled as an undergraduate student in sophomore year or above (no Freshman) in an accredited US university or college with a major/concentration in any of the following disciplines: Earth System Science Atmospheric Science Computer Science Social Science Engineering Physics Mathematics Geography Must be a Sophomore or above (Candidates should have completed the equivalent of at least one year of college, no Freshman/first-year) Education & Experience Desired but Not Required: Have some basic research and programming experience and have a cumulative GPA of 3.0 or higher (on a 5.0 scale) Knowledge, Skills, and Abilities REQUIRED: Ability to work on-site, full-time (40 hours per week) during the entire 11-week summer program Basic knowledge, through coursework, of Earth system science concepts Good problem-solving skills Ability and willingness to learn and use scientific computing tools and programs Ability to work with a variety of staff members Good oral and written communication skills Ability to interact with mentors and peers in a manner that supports collaboration and inquiry Working knowledge of essential office and communication software (e.g., G Suite, email clients) Ability and willingness to work within the guidelines and policies of the organization and assigned workgroups Commitment to Job Application Fairness Applicants are not required to provide age or age-related information and may redact information related to age, date of birth, or dates of attendance at or graduation from an educational institution from any submissions during the initial application process. Some Final Considerations At NSF NCAR| UCAR | UCP , you will work alongside a dedicated team of professionals conducting critical research and community outreach to solve complex Earth system science problems including climate change, air pollution, extreme weather, floods, drought, wildfires, and space weather, all with the goal of improving human life and reducing economic loss. Each of us, from scientists to the professionals who support their work, serves the public and a collaborative community of scientists in our mission to understand the complex processes that make up the Earth system, from the ocean floor to the Sun's core. Flexible Work At UCAR, we are committed to supporting our mission by giving staff the flexibility to find the schedule and location that works best to maintain their own work-life circumstances and reach their full potential as professionals. Many positions within our organization are eligible for fully on-site, hybrid (three days per week) and/or flexible work hours. Equal Opportunity Employer UCAR is committed to providing equal opportunity for all employees and applicants for employment and does not discriminate on the basis of race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy. Whatever your intersection of identities, you are welcome at UCAR. Export Control All positions are required to comply with U.S. export compliance regulations and work location requirements regarding access to facilities and research systems. Work Location UCAR requires ALL positions to be performed within the U.S., excluding U.S. Territories. AI Software ChatGPT and similar AI software are powerful tools that are changing the way society receives, processes, and leverages information promptly. While we acknowledge its benefits and do not restrict leveraging it with job applications, we highly encourage a majority of the applicant material to be original work.

Internship Description Job Type: Internship, minimum 15hr/week, maximum 40hr/week (January-May 2026) Salary: $20/hr About this Job As part of the Product Development/Innovation team, this role will help explore new technologies and new markets for sustainable, renewable raw materials, like wood residuals (think sawdust & shavings from lumber/furniture and floor making industries). The work is very cross-functional and feeds into a portfolio of new business opportunities. We're putting a lot of focus on consumer products, so branding, consumer research, and market analysis are a big part of what you'll be involved in, along with prototyping, business model creation, and vendor/partner coordination. About Lignetics, Inc. We're a family of brands dedicated to producing high-quality, 100% natural products that turn wood waste into a range of premium eco-friendly products. Our commitment to creating premium-grade wood products is central to everything we do. As a family of brands we own and manage 25+ mills across the country that turn wood waste into clean, green products. Our eco-friendly offering includes premium wood pellets, logs and fire starters for super-efficient heating, seasoned BBQ pellets that naturally seals in food flavor, and highly absorbent animal bedding that ensures warmth and comfort. We're dedicated to making the best performing and most trusted natural wood products in America. Lignetics is the largest residential wood pellet manufacturing company in the U.S. which now has a production capacity of over 2,000,000 tons of wood pellets per year. Please send cover letter along with resume and application. Requirements Duties and Responsibilities • Conduct product tests; performance and QA-related. • Develop new test methods with guidance. • Analyze data and share results. • Prepare prototype formulations. • Conduct online research on material and/or vendor options. • Support consumer testing programs and data analysis. Education, Skills and Physical Requirements • Working towards Bachelor's degree in Engineering, Chemistry, Material Science, Physical Science or like field. • Previous internship or part-time experience relative to major a plus. • Must have a “roll up your sleeves” approach, be highly analytical and forward-thinking. • Requires the ability to do simple to complex math calculations. • Able to conduct experiments with solid scientific method skills. • Able to analyze and communicate data and results. • Interest/experience in non-technical product development (marketing, branding) another plus. #IDCorporate Salary Description $20/hour

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Team Adobe Digital Insights (ADI) is the acknowledged leader in real time economic and digital experience insights. Our findings regularly appear in print and on television across publications as varied as Good Morning America, The New York Times, and CNBC. We work with hundreds of top companies, offering them unique insight into their customers and the state of their industry that they cannot get anywhere else! The Opportunity Join the Adobe Digital Insights (ADI) team as a Summer 2026 Intern! We transform Adobe's vast digital data into actionable insights that enhance the brand, inform business strategy, and strengthen customer relationships. You will play a key role in acquiring, processing, and producing insights from the Adobe Content Analytics product. The ideal candidate will have a strong background in analysis and a keen interest in data-driven storytelling. All Adobe interns in 2026 will be co-located hybrid-working between their assigned office and home. Interns will be based in the office where their manager and/or team are located to ensure strong collaboration and support. The frequency of in-office work will be determined by team priorities. What You'll Do * Acquire and process large-scale content engagement data to uncover patterns and trends. * Create a comprehensive understanding of Adobe Content Analytics content performance, customer engagement, and conversion measurement insights. * Build dashboards and reports that deliver meaningful insights to business collaborators. * Develop scripts and automation tools to streamline data extraction and transformation. * Contribute to the development of internal analytical tools that enhance team productivity and insight generation. What You Need to Succeed * Currently enrolled full time and pursuing a Master's in Statistics, Mathematics, or Engineering is desired; or equivalent experience required with an expected graduation date of December 2026 - June 2027 * Solid understanding of SQL and R/Python * Understanding of statistical modeling/machine learning/ data mining concepts, and a track record solving problems with these methods. * Ability to apply statistical/machine learning techniques such as hypothesis testing, time series forecasting, linear and logistic regression, random forests, etc. * Ability to participate in a full-time internship between May-September 2026 Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $38.00 -- $51.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Project Name: Data Science/Research & Innovation Support Interns Preferred Degree: Currently pursuing a master's or Ph.D. in engineering, computer science, or other relevant degrees. Project Description: The projects' general objectives include supporting research by way of data collection to improve railway safety, performance, and efficiency. Projects supported may include, but are not limited to, Exploratory Data Analysis (EDA), Supervised Machine Learning (ML) Applications, Feature Importance, Rail Inspection, and Wheel & Axle Inspection Technology. These projects may be funded by the Association of American Railroads as part of MxV Rail's Strategic Research Initiatives program, through the Federal Railway Administration (FRA), MxV Rail's internal research and development, and/or commercial customers. Primary Duties: Conduct data analysis, including, but not limited to: * Exploratory Data Analysis (EDA). * Supervised machine learning model development and deployment. * Feature importance and interpretability analysis. * Statistical analysis of track, wheel, axle, and mechanical data. * Track and mechanical data collected at FAST or other sources. * Model development: Assist in building, training, and fine-tuning machine learning and deep learning models, with a primary focus on time series data (e.g., raw UT waveforms, electromagnetic data, other modalities). * Data processing: Participate in the collection, cleaning, and preprocessing of large datasets used for training and evaluating AI models. * Algorithm research: Conduct research on state-of-the-art algorithms and emerging AI technologies to improve the accuracy and efficiency of inspection systems. * Prototyping and testing: Develop proof-of-concept models and test them against real-world data to evaluate performance. Work with engineers to test and validate deployed models. * Code generation: Write clean, well-documented code in Python to support data pipelines, model building, and system integration. * Data Fusion: Explore data fusion approaches for UT and electromagnetic data. * Collaboration: Work closely with cross-functional teams to integrate AI/ML solutions into research. * Reporting: Document findings, methodologies, and results, and present progress to technical and non-technical stakeholders. * Ensures that all duties and responsibilities are performed in a safe manner. * Perform other related duties as assigned. Minimum Qualifications: * Open to learning and living the MxV Rail values (Momentum, Insight, Teamwork, Rigor, Purpose) in all facets of the organization's work. * Pursuing a Master's or PhD. in Industrial Engineering, Operations Research, Computer Science, Data Science, Electrical Engineering, or a related technical field. * Extensive experience in exploratory data analysis (EDA) and statistical analysis (coursework, research projects, or job experience). * Experience using Microsoft Office software. * Knowledge in AI/ML methods. * Knowledge of Python and/or R. * Willingness to learn about railroad operations, rolling stock, and maintenance concepts, literature review, multi-tasking, and strong communication & leadership skills. * Strong programming skills, with a preference for Python. * Completed coursework in machine learning, artificial intelligence, or computer vision. * Familiarity with at least one major machine learning framework, such as PyTorch or TensorFlow. * Fundamental understanding of machine learning concepts, algorithms, and evaluation metrics. * Strong analytical and problem-solving skills. * MxV Rail policy requires all prospective employees to complete a criminal background check (Disclosure for Consumer Reports Consent Form) and a pre-employment substance abuse screening (Applicant Consent for Drug Testing Form) as a condition of employment. Preferred Qualifications: * Extensive experience using Python or R. * Knowledge using SQL. * Strong foundations in AI /ML. * Knowledge of data manipulation and analysis libraries like NumPy and Pandas. * Experience with version control systems, such as Git. * Familiarity with cloud computing platforms (e.g., AWS, Azure, or GCP) for training models. * A portfolio of personal projects related to AI, ML, or computer vision is a plus. Length of Service: The internship term is the summer of 2026 (preferably May through September). Alternative start and end dates may be accommodated based on the selected candidate's availability. Continuation or extension beyond the agreed term will be evaluated based on the intern's performance and MxV Rail's current project needs, funding, and strategic priorities at that time. Please note that extensions are not automatic and may not always be possible. The internship is a full-time position requiring 100% of the intern's work hours. The schedule follows a fortnight (9/80) pattern: Monday-Thursday: 7:00 AM - 4:30 PM Friday: 7:00 AM - 3:30 PM (every other Friday off) Project Deliverables: Assist the Data Science and Research & Innovation Team with a variety of tasks that may include: * Exploratory Data Analysis (EDA) * Conduct a comprehensive EDA on selected data. Use statistical methods and data visualization techniques to understand the data's structure and variables. Maintain a detailed Jupyter notebook file outlining the EDA process, including code, statistical summaries, and visualization. Develop an interactive dashboard (e.g., using Plotly or another library) that allows non-technical users to filter and visualize the data. Present Power PowerPoint presentation summarizing the project. * Supervised Machine Learning (ML) Application * Develop a supervised ML prediction model based on selected data and questions. Maintain a detailed Jupyter notebook file for the data processing and model training pipeline, with clear documentation. Present a PowerPoint presentation summarizing the project findings. * Feature Importance * Analyze the provided dataset to identify which features are the most influential predictors. Maintain a detailed Jupyter notebook file with a function that can be used to select the most relevant features from similar datasets. Develop a list with the rank of the most important features, supported by visualizations. Present a PowerPoint presentation summarizing the project findings. * Rail Inspection and Wheel & Axle Inspection Technology * Explore AI/ML algorithms for utilizing raw ultrasonic and EM data for flaw detection and characterization. Perform data fusion using multi-modality hybrid sensing data. Develop, train, test, and validate AI/ML models/ algorithms. Working Environment and Level of Physical Activity: The conditions herein are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions. * Environment: Office and field environments. Must be able to walk in an industrial and/or railroad environment, including uneven surfaces such as ballast. * Vision: See in the normal visual range with or without correction; vision sufficient to read computer screens and printed documents. * Hearing: Hear in the normal audio range with or without correction. Benefits Overview: * Railroad Retirement * 401(k) Program with Company Match * Fortnight Schedule * Paid Holidays Hourly Rate: $20

Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and in every action seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do. Ignite is currently seeking a driven, detail-oriented Data Scientist to join our team supporting the Space Force Concepts and Technology Delta and Space Warfighter Analysis Center in Colorado Springs, Co. This position can be filled in either Colorado Springs, CO or Huntsville, AL. In this role you will develop and utilize data analysis tools to create complex data sets for evaluating the future of warfare in space. Job Requirements Responsibilities include, but are not limited to: * Development of models and simulation runs for logistics analysis. * Development of software tools for data ingestion, storage, processing and analysis. * Development of advanced Machine Learning (ML) and Artificial Intelligence (AI) architectures and use cases in support of customer needs. * Development of presentation materials and demonstrations for internal and external stakeholders. * Development of Open-Source Intelligence tools * Development of advanced visualizations for data and network analyses Job Requirements and Qualifications: * One to five years of experience in data science or related field. * Strong Python knowledge and familiarity * Experience using FastAPI and ETL pipelines * Experience with ReactJS /JavaScript * Git/GitLab experience with version control * Data visualization using Matplotlib/Seaborn * OSINT Tooling (Playwright/BeautifulSoup) * Familiarity with MongoDB or other NoSQL schema * Microsoft Office skills * Basic professionalism Security Clearance Requirements: Must have an active Secret Security Clearance or the ability to obtain one. Top Secret Clearance is a plus. Education Requirements: * Bachelor's of Science or Masters of Science in Data Science, Data Engineering, Statistics, Software Engineer, Artificial Intelligence or a related field. Other Requirements: Must be a US citizen and be able to obtain and hold an active Security Clearance Salary Range: $90k - $140k We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law. Accommodation Request: If you are a qualified individual with a disability or are a disabled veteran and are unable or limited in your ability to use or access our Careers sites as a result of your disability, you have the right to receive assistance in completing the application process. Please send your request to **********************

+ A Company is redefining home energy intelligence through data and AI to enable personalized comfort, energy efficiency, and demand-response optimization across millions of connected homes. + We are seeking a Staff Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events. + Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance. **Responsibilities:** + Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies. + Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics. + Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences. + Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences. **Experience:** + Proven expertise in predictive modeling, forecasting, and applied ML (e.g., regression, gradient boosting, time-series, causal inference). + Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems. + Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP). + Ability to take models from concept to production in collaboration with engineering partners. + Skilled in statistical analysis, feature engineering, and experimental design (e.g., A/B testing). + Excellent communication and storytelling skills for complex, data-driven topics. **Skills:** + Experience with energy forecasting, thermal modeling, or Demand Response optimization. + Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts. + Familiarity with LLM or generative AI applications in analytics and optimization. + 5+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives. **Education:** + Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is 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, disability, or status as a protected veteran.

** Summer 2026 Internship Interviews begin January 2026 | Offers extended in March | Start date projected for May Location: This internship will be based at one of Waystar's four basecamp locations, offering an in-person experience designed to foster collaboration and hands-on learning. **WHAT YOU'LL DO** Waystar is seeking a curious, analytical, and detail-driven Data Analyst Intern to join our Summer 2026 Internship Program. This opportunity is ideal for students who love working with data, uncovering insights, and solving complex problems that drive smarter decisions in the healthcare technology space. As a Data Analyst Intern, you'll collaborate with cross-functional teams to support data-driven initiatives across the organization. What You'll Gain: + Exposure to healthcare data and analytics tools + Hands-on experience with data visualization, reporting, and trend analysis + Opportunities to work on meaningful projects that inform strategic decisions + Mentorship from experienced analysts and collaboration across departments **WHAT YOU'LL NEED** **Program Timeline** The interview process for Summer 2026 internships will begin in **January 2026** , with offers expected to be extended in **March** . Interns will officially onboard in **May** , aligning with the start of the summer program. **ABOUT WAYSTAR** Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar (**************************** on Twitter. **WAYSTAR PERKS** + Competitive total rewards (base salary + bonus, if applicable) + Customizable benefits package (3 medical plans with Health Saving Account company match) + We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays + Paid parental leave (including maternity + paternity leave) + Education assistance opportunities and free LinkedIn Learning access + Free mental health and family planning programs, including adoption assistance and fertility support + 401(K) program with company match + Pet insurance + Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. **Job Category:** Technology/Engineering **Job Type:** Part time **Req ID:** R2768

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

Company Details At Verus Specialty Insurance, a proud member of the esteemed W.R. Berkley Corporation (NYSE: WRB), we stand as a leading Excess and Surplus Lines provider delivering comprehensive solutions across the United States. Backed by the formidable strength of a Fortune 500 titan and operating with the agility of a nimble startup, we blend the best of both worlds to foster innovation and excellence in everything we do. Our nationwide operations are supported by a robust network of select wholesale producers, ensuring that our reach and capabilities are always close at hand. We are driven by a forward-thinking leadership that champions a dynamic culture where questioning the norm is not just welcomed but expected. This ethos empowers our team to consistently surpass customer expectations and drive the industry forward. At Verus, we are more than just a company; we are a community that thrives on collaboration, growth, and taking ownership of our actions. We are constantly on the lookout for exceptional talent who are eager to contribute, innovate, and grow with us. If you are passionate about making a mark in the insurance industry and align with our vision, we eagerly await your application. Join us and be a part of a team where your contributions are valued, and your potential fully realized! The Company is an equal employment opportunity employer. ************************* Responsibilities Come join the Verus team as a summer intern! Our interns work with many different people to learn and gain hands on experience in reporting work and data. This is a great opportunity for anyone interested in starting their career. We will be hiring an intern to learn and grow in a cohort environment. Interns are responsible for performing data analyst related support duties while gaining valuable real-world experience which can be utilized both personally and professionally. Resume builder and steppingstone to a future career in the Insurance Industry. Assist with developing SQL queries needed for reports or analysis. Analyze internal and external data. Assist with projects. Build or revise Power BI reports that are used throughout the organization. Qualifications Current college student (and/or recent graduate) working towards a degree program in a STEM related major with a 3.0 GPA or higher. Must demonstrate excellent oral and written communication skills. Must be willing to work collaboratively and embrace innovative ideas and processes. Must be technology-focused and proficient in the use of a computer and its applications. Proficiency with Power BI and SQL preferred. #LI-FL1 #LI-INTERNSHIP Additional Company Details We do not accept any unsolicited resumes from external recruiting firms. This is a 10-week, paid internship - Monday, June 1, 2026 - Thursday, August 6, 2026. The hourly rate range based on a 37.5-hour work week is $20.00 - $22.00 an hour. This role does not offer a benefits package, as it is a temporary, summer internship position. Additional Requirements The application window for this role is estimated to be open through November 28, 2025, but may be extended, if necessary. Please submit your application as soon as possible prior to November 28, 2025. Sponsorship Details Sponsorship not Offered for this Role Not ready to apply? Connect with us for general consideration.

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

Spectrum Job DescriptionAt a Glance You're a motivated rising junior or above student with a 3.0 GPA or higher seeking a degree in one of the following areas listed below from an accredited college or university: Business Analytics Data Analytics Strategic Planning This is a learning-intensive program designed to give you essential business insights and hands-on experience in your field of choice. It's a full-time, 10-week commitment from June 1, 2022 through August 5, 2022. Benefits include professional development sessions, networking opportunities, and mentorship. The Spectrum Internship Experience You have clear aspirations and are seeking a summer internship program that will help you meet them. Find it at Spectrum, named one of the Top 100 Internship Programs in the United States by WayUp. Our internships are designed to provide: Opportunities to gain new skills and elevate the ones you already have, all in a robust and forward-thinking business setting. First-rate, hands-on experience in the telecommunications industry. Opportunities to connect you with people who can give you a better understanding of the industry and help you accomplish real goals you can add to your résumé, this includes assigning you a formal mentor and interactions with senior executives. What you can expect in this role As a Spectrum Intern, you'll be essential to two teams - your respective department and your Intern peer group. Department and team-focused projects account for about 80% of your schedule. You'll spend the other 20% on professional development sessions and networking activities, including the Kickoff Conference on June 2, webinars, community service, cross-functional project, and final presentations. Internship responsibilities may include Gather, analyze, refine, validate, document and maintain complex L&D data for various reporting needs Oversee the import and export of data from all L&D data sources used for departmental reporting to insure data integrity is maintained, including generation and extraction of custom data reports Create scripted automations for data extracts and to notify recipients of updated reports via email or SharePoint uploads Create dashboards and reports using data to tell a story, Participate in conference calls with learning leaders across the organization Present data and findings to learning leaders Support the organization with adhoc or critical data needs as they arise Being flexible to the changing needs of the organization while working efficiently to meet deadlines. Here's what it takes to get started Required qualifications Must be currently enrolled in an accredited College or University completing a Bachelor's Degree or Advanced Degree

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. E04JI802qmf3407sa9b

At a Glance You're a motivated rising junior or above student with a 3.0 GPA or higher seeking a degree in one of the following areas listed below from an accredited college or university: Business Analytics Data Analytics Strategic Planning This is a learning-intensive program designed to give you essential business insights and hands-on experience in your field of choice. It's a full-time, 10-week commitment from June 1, 2022 through August 5, 2022 . Benefits include professional development sessions, networking opportunities, and mentorship. The Spectrum Internship Experience You have clear aspirations and are seeking a summer internship program that will help you meet them. Find it at Spectrum, named one of the Top 100 Internship Programs in the United States by WayUp. Our internships are designed to provide: Opportunities to gain new skills and elevate the ones you already have, all in a robust and forward-thinking business setting. First-rate, hands-on experience in the telecommunications industry. Opportunities to connect you with people who can give you a better understanding of the industry and help you accomplish real goals you can add to your résumé, this includes assigning you a formal mentor and interactions with senior executives. What you can expect in this role As a Spectrum Intern, you'll be essential to two teams - your respective department and your Intern peer group. Department and team-focused projects account for about 80% of your schedule. You'll spend the other 20% on professional development sessions and networking activities, including the Kickoff Conference on June 2, webinars, community service, cross-functional project, and final presentations. Internship responsibilities may include Gather, analyze, refine, validate, document and maintain complex L&D data for various reporting needs Oversee the import and export of data from all L&D data sources used for departmental reporting to insure data integrity is maintained, including generation and extraction of custom data reports Create scripted automations for data extracts and to notify recipients of updated reports via email or SharePoint uploads Create dashboards and reports using data to tell a story, Participate in conference calls with learning leaders across the organization Present data and findings to learning leaders Support the organization with adhoc or critical data needs as they arise Being flexible to the changing needs of the organization while working efficiently to meet deadlines. Here's what it takes to get started Required qualifications Must be currently enrolled in an accredited College or University completing a Bachelor's Degree or Advanced Degree