Data science internship jobs in South Burlington, VT - 24 jobs

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Physical and Computational Sciences Directorate's (PCSD's) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. But our most important resource is our people-experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time. The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing artificial intelligence, applied mathematics, computing technologies, and data and computational engineering. Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of complex systems in science, energy, and national security. **Responsibilities** PNNL is seeking a PhD intern with a focus on foundational graph models, graph representation learning, graph neural networks, knowledge graph construction and semantic search, scientific machine learning, and applications to electronic design automation and cybersecurity. The candidate should have experience with or interest in scientific software development and management of scientific data in accordance with the FAIR principles. The emphasis will be given to the design and development of graph neural networks, large language models, or applications in science. The successful candidates are also expected to help summarize the technical findings and contribute to peer-reviewed publications. The successful candidates will be collaborating on a multi-disciplinary technical team and must have strong communication and interpersonal skills. **Qualifications** Minimum Qualifications: + Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. + Minimum GPA of 3.0 is required. Preferred Qualifications: + Undergraduate degree in Computer Science, Applied Mathematics, Data Science, or closely related fields. + Background in basic and applied energy sciences (e.g., computational physics, or computational chemistry, power systems). + Strong skills in selected areas of applied mathematics (e.g., analysis, linear algebra, machine learning, graph theory, topology, operator theory). + Proficiency in Python language and data science packages (e.g., Numpy, Pandas, SciPy, Matplotlib). + Proficiency with software version control systems (e.g., Git). + Proficiency in modern machine learning libraries (e.g., Pytorch or Tensorflow). + Proficiency in graph databases (e.g., Neo4j). + Experience with modern deep learning methods (e.g., graph neural networks, foundation models, large language models). + Publication record in scientific conferences such as NeurIPS, ICML, ICLR, AAAI. **Hazardous Working Conditions/Environment** Not Applicable **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $24.04/Hr. **Maximum Salary** USD $36.06/Hr.

at Parts Town Product Data Analyst See What We're All About As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That's key. But we're also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list! Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We're more interested in passionate people with fresh ideas from different backgrounds. That's what keeps us at the top of our game. We're proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain's Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years. If you're ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let's chat - Apply Today! Perks Parts Town Pride - check out our virtual tour and culture! Quarterly profit-sharing bonus Team member appreciation events and recognition programs Volunteer opportunities Monthly IT stipend Casual dress code On demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away - don't worry, we've got you covered. The Job at a Glance The Product Data Analyst is an entry-level position that will be responsible for the collection, creation and maintenance of an industry leading product data repository that helps drive a self-service customer experience on our websites and mobile apps. You will use tools and technologies to efficiently gather, cleanse and load product content including manuals, models and BoM data, categorization of products and equipment, and other relevant product information. The data you collect will help drive on-site searchability and improve our SEO positioning. A Typical Day Collects and updates manufacturer's models and associated model information such as manuals, images, and BoM data Categorizes Products and Equipment into relevant taxonomy categories Gathers product classification attributes to improve website refinements Optimizes short product descriptions to improve on-site searchability and SEO relevance Builds and audits microsite equipment and product catalogs catered toward strategic customer accounts Collaborate with the Manufacturer Partnership team to ensure data and branding reflect manufacturer and supplier's vision Analyze data daily regarding product attributes that affect descriptions, images, specifications/features, and product replacement or obsolescence Utilize numerous Ecommerce tools such as Google Analytics, Hotjar, Mirakl, Hybris, Pimberly and more to improve the customer's digital buying experience To Land This Opportunity Experience with product master data management Strong knowledge of Excel Basic knowledge or strong desire to learn and utilize Python and SQL Experience with Ecommerce platform's back office or PIM system Strong analytical skills You're an all-star communicator and are fluent in English (both written and verbal) About Your Future Team Our Product Data team is an eclectic bunch who likes to have fun, eat, and drink a lot of coffee (we are in the foodservice space after all). If you have a wealth of knowledge of pop culture, you like sci-fi, love red staplers or Hawaiian shirt day is your favorite day, you'll fit in just fine… Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

At BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture. BETA is looking for a talented Data Scientist to join our Digital Products team. In this role, you will support BETA's expanding test programs, fleet operations, and manufacturing processes by creating tools to extract meaningful insights from data, building machine learning models, and transforming data to create derived, structured datasets. The ideal candidate enjoys diving into technical domains, can articulately convey findings and insights, and has a passion for data-driven solutions built on modern cloud data architecture. Working as part of our collaborative Data Science team, you will engage directly with diverse stakeholders across the organization, dive into various subdomains, and directly impact critical business decisions. Together, we're passionate about stewarding BETA's extensive datasets, building "Data for All" tools, empowering data-driven decision making, and extracting maximum value from our data assets. How you will contribute to revolutionizing electric aviation: * Maintain and develop data pipelines that extract, transform, and validate data from data lakes and other sources * Perform exploratory data analysis (EDA) to uncover trends and patterns * Build data exploration tools and dashboards for technical stakeholders * Develop, deploy and monitor machine learning models in production environments * Design and implement data quality checks and monitoring systems * Collaborate with cross-functional teams to address business problems with data-driven solutions * Effectively communicate with both technical and non-technical stakeholders, translating complex data concepts into understandable insights and recommendations * Work collaboratively with the Data Science team on technical design and architectural decisions while engaging directly with users to understand needs and iterate on solutions * Take ownership of code and algorithms, ensuring thorough documentation and knowledge sharing to eliminate single points of ownership * Conduct code reviews to maintain code quality, share knowledge, and uphold data science standards across the team * Identify opportunities to eliminate manual workflows through automation and improved tooling * Write clean, well-tested, production-ready code with comprehensive documentation following engineering best practices Minimum Qualifications: * Master's degree in a related field (Data Science, Mathematics, Computer Science) or equivalent practical experience * 5+ years of professional Data Science experience building and maintaining production-grade machine learning models, data pipelines, dashboards, and analytical tools * Proficiency in a statistical programming language (e.g., Python) with demonstrated ability to write clean, maintainable code * Experience with data manipulation libraries (e.g., Pandas, NumPy) * Proficiency in SQL and other database systems for data extraction and aggregation * Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) * Knowledge of ETL/ELT processes, data pipeline design, and data modeling best practices * Experience with version control systems (Git), automated testing, and CI/CD practices * Experience with cloud platforms (e.g., AWS, GCP, or Azure) and their data services * Excellent problem-solving and analytical skills * Excellent written and verbal communication skills, with ability to present findings to non-technical stakeholders and collaborate effectively across cross-functional teams * A strong desire to learn and adapt in a fast-paced, dynamic environment Above and Beyond Qualifications: * Experience in aviation, aerospace, engineering, or manufacturing, with contextual domain knowledge related to the components of BETA Technologies * Experience with data pipeline orchestration tools (e.g., Airflow) * Experience with dashboard and visualization tools (e.g., Grafana, Tableau, PowerBI) * Experience with DBT Core to build, test, and maintain data models * Familiarity with large-scale data processing tools (e.g., Spark, Hadoop) * Experience with knowledge graphs and graph databases (e.g., Neo4j, Amazon Neptune) * Familiarity with containerization technologies (Docker) * Experience deploying and using monitoring and alerting tools (e.g., Cloudwatch, Grafana) $110,000 - $150,000 a year The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process. Build electric airplanes with us! We encourage all driven candidates to apply, even if they do not meet every listed qualification. We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace. Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Description & Requirements Maximus has an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This is a remote position. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Essential Duties and Responsibilities: - Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable): - 10+ years of relevant Software Development + AI / ML / DS experience - Professional Programming experience (e.g. Python, R, etc.) - Experience with AI / Machine Learning - Experience working as a contributor on a team - Experience leading AI/DS/or Analytics teams - Experience mentoring Junior Staff - Experience with Modeling and Simulation - Experience with program management Preferred Skills and Qualifications: - Masters in quantitative discipline (Math, Operations Research, Computer Science, etc.) - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors - Ability to leverage statistics to identify true signals from noise or clutter - Experience working as an individual contributor in AI or modeling and simulation - Use of state-of-the-art technology to solve operational problems in AI, Machine Learning, or Modeling and Simulation spheres - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions - Use and development of program automation, CI/CD, DevSecOps, and Agile - Experience managing technical teams delivering technical solutions for clients. - Experience working with optimization problems like scheduling - Experience with Data Analytics and Visualizations - Cloud certifications (AWS, Azure, or GCP) - 10+ yrs of related experience in AI, advanced analytics, computer science, or software development #techjobs #Veteranspage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,640.00 Maximum Salary $ 234,960.00

DATA MANAGEMENT ANALYSTLOCATION: Remote within ME, VT, or NH HOURS: Full Time, 37.5 hours per week, Hourly (Non-Exempt) The data analyst is focused on determining and developing reporting of major business drivers. This position is responsible for coordinating and facilitating the Data Governance workgroup and providing data support to various management staff and groups, including the Management Team, Health Care Delivery teams, External Affairs teams, CEO, and CFO. YOUR DAY- TO-DAY RESPONSIBILITIES: Lead and support data governance efforts to ensure the agency uses data consistently and accurately. Understand how key data systems (including the EHR) are structured in order to find, organize, and report information effectively. Create, maintain, and update documentation, resources, and shared tools that help staff access and understand reports. Produce regular and ad-hoc data reports for internal teams and external partners, ensuring information is accurate and delivered on time. Collaborate with departments to build reporting tools, provide basic training, and support staff who rely on data for decision-making. Contribute to agency needs by completing special projects, supporting teamwork, and staying flexible as priorities and schedules shift. JOB PERKS: Work with a group of dedicated professionals No late night or overnight hours Collaborative Work Environment - PPNNE upholds high workplace values and patient service standards, fostering respect, engagement, and teamwork to create the best experience for employees and patients alike. Gain experience with a trusted leader in affordable, high quality, health care Experience using the Electronic Medical Records program EPIC Travel Milage Reimbursement Make a Difference! - Make a direct impact in your community by providing patients with access to high quality & essential health care services • COMPENSATION: Pay Range - Candidates can expect to earn between $31 - $38 per hour based on years of related & relevant work experience. BENEFITS: Up to 3 weeks paid time off (increases with tenure) & up to 10 Paid Holidays Paid Parental Leave Medical, Dental & Vision Insurance PPNNE Funded Health Reimbursement Account to cover portion of medical deductible costs 403b retirement account and 2% employer match eligibility Employee Assistance Program (confidential counseling and resources) Employee referral bonuses Employer Paid Short Term Disability & Life Insurance KNOWLEDGE, SKILLS AND ABILITIES: Bachelor's degree plus a minimum of 3-5 years relevant practical experience; or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired. Minimum educational requirements include High School Diploma/GED Experience in business analysis and reporting and proficiency in presenting quantitative data to a diverse audience Excellent Microsoft Excel, Word and report writing skills are required Strong SQL experience and knowledge required Experience in Epic reporting workbench and Epic Slicer Dicer required Epic certifications in Clarity and Caboodle preferred, otherwise the ability to get and maintain Epic Caboodle /Clarity badges within the first 90 days of employment required Working knowledge of health care key performance indicators, medical terminology, practice management systems and ICD-10/CPT coding is preferred Experience with O365 platform, including Microsoft Teams and SharePoint, preferred WHY JOIN PPNNE? Planned Parenthood of Northern New England (PPNNE) was founded on the belief that everyone has the fundamental right to make decisions about their bodies and reproductive futures free from harassment or fear. Working for Planned Parenthood is more than just a job. Joining Planned Parenthood means becoming part of a mission-driven movement, where your work will help make sexual and reproductive health care more accessible to all. Interested applicants please submit a cover letter and resume by visiting our website at **************************** Planned Parenthood of Northern New England welcomes diversity & is an Equal Opportunity Employer

The Office of Racial Equity (ORE) at the State of Vermont is seeking a Racial Justice Data Analyst. This position will work within the Division of Racial Justice Statistics (DRJS) to provide analysis and recommendations on processes to improve data collection and quality. The position may prepare information to inform testimony for legislative hearings, attend meetings with state Boards, Committees, Commissions, and Councils as requested. The Data Analyst will contribute to the development and management of public-facing data tools, visualizations, and websites, which may require working with the Agency of Digital Services to coordinate the development of necessary tools, systems, and future enhancements to support the work. The position may help coordinate research partnerships and contracts with external partners, and help coordinate research requests, and will assure that federal and state statistical reporting requirements are met. This position will bring an equity lens to all aspects of research and policy analysis, which will require: * Knowledge and ability to

The **Enterprise** **Fraud Strategy** group provides bank-wide support for detecting, preventing, and investigating fraudulent activity across multi-channel payment systems. The **Fraud Data Scientist** reports directly to the Manager, Fraud Reporting & Analytics, supporting business reporting and analytical needs for fraud initiatives. The **Fraud Data Scientist** works as a member of a reporting and analytics team and utilizes tools for conducting analytics for managing fraud strategies, as well as creating reports consumed by LOB (lines of business) senior executives. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Operations leadership. **This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area but only within the US.** **_How you'll spend your time:_** + Work closely across the organization to develop and implement statistical analysis, artificial intelligence, machine learning processes and algorithms, and deep learning for fraud modeling. + Use dynamic techniques like Machine Learning to gain insights about the future. + Answer the "What will happen, and What should be done?" questions. + Gather business detail from peers and internal customers to adapt/enhance models. + Routinely measure model performance and implement modifications as needed. **_We're excited to talk if you have:_** + Master's Degree in Computer Science, Math, Economics, Statistics, or another quantitative field and 2+ years of unsupervised data modeling and segmentation experience **OR** any combination of education and experience that would provide an equivalent background. + Proven expert level foundation of math, statistics, and programming. + Demonstrated hands-on working knowledge of R or Python, Snowflake, SQL Server or similar database management tool and visualization tools such as Tableau or Power BI. + Superior critical thinking skills. + Strong proficiency in statistical algorithm development and evaluation. + Proficiency in advanced statistics, hyperparameter tuning, A/B Testing, predictive modeling, recommendation systems, propensity scoring, natural language processing, clustering, customer segmentation, data acquisition, mining structured and unstructured data, designing tools, automation systems, and data frameworks. **_Bonus Points if you have:_** + Banking or financial services industry experience. + Fraud reporting or analytics experience. **Applicants must have legal authority to work in the United States. Work Visa sponsorship not available for this position.** Deadline to Apply: March 8, 2026 **Compensation Range:** $69,230.00 - $149,000.00 _The posted compensation range on this listing represents UMB's standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. In addition, this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information._ UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary. **Are you ready to be part of something more?** You're more than a means to an end-a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard. _UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e-mail to_ _*************************_ _to let us know the nature of your request._ _If you are a California resident, please visit our_ Privacy Notice for California Job Candidates (*********************************************************************************************************************************** _to understand how we collect and use your personal information when you apply for employment with UMB._ **_Who we are_** We are more than a company. We are advisors, consultants, problem solvers, friends, community members, experts, and we are here to help you make the best of every moment with a financial foundation that can help you succeed. Learn more about UMB's vision (****************************************************************************************************** Check out the road to a career at UMB

Job Description The City of Essex Junction is seeking two seasonal Water Quality Technician Interns to support the day‑to‑day operations of our Water Resource Recovery Facility and Stormwater Utility Management Program. These positions offer valuable hands-on experience in water quality, environmental protection, and stormwater management. Key Responsibilities Inspect stormwater infrastructure and develop maintenance plans Update infrastructure mapping and documentation Perform water quality sampling, testing, and analysis Inspect construction sites for proper erosion control measures Assist with daily inspections of equipment and facilities Participate in seasonal maintenance projects Collect, record, and analyze environmental data Collaborate with experienced operators to support efficient operations Work outdoors in varying weather conditions Maintain accurate records as required Schedule & Compensation Hours: Monday-Friday, 7:00 a.m. to 3:30 p.m. Season: June-August Pay: $18.50 per hour Qualifications Strong attention to detail Experience with data collection and documentation Ability to work independently and as part of a team Comfortable working outdoors for extended periods Must have reliable transportation and a valid driver's license Interest in science, water quality, environmental studies, or engineering preferred What You'll Gain As an intern, you'll work closely with a knowledgeable team, gaining hands-on experience in stormwater management, water quality assessment, and environmental conservation. This is a meaningful opportunity to contribute to local sustainability efforts while building practical skills for future career pathways. Powered by JazzHR 2Iespt1Y29

The Consultant level Data Governance Analyst is responsible for designing, developing, and implementing processes related to metadata management, reference data management and data quality monitoring. This position is expected to have hands-on experience with technology, people and process that are critical for the success of Data Governance program. This position is expected to have an advanced understanding of Data Governance principles and processes. This role will directly report to the Data Governance Manager, performing analysis on a variety of highly complex projects under minimal supervision and typically leading complex initiatives or projects. This role will work Monday-Friday during regular business hours. We are committed to offering flexible work options where approved and stated in the job posting. However, we are currently not considering candidates who reside or plan to reside in the following states: California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings. **Essential Functions** This Data Governance Analyst - Consultant position will drive a business‑driven, technology-enabled provider and location master data program. Specific responsibilities include: + Set system‑of‑record/source‑of‑truth strategy; + Identify data owners/stewards, define/approve standards & definitions, and drive adherence-especially for provider/location attributes and code sets. + Align clinical, operations, and analytics stakeholders to a shared roadmap and outcomes; + Facilitate conversations and workshop skills to surface pain points, reconcile definitions, and prioritize use cases + Guide MDM platform and operating‑model decisions to deliver sustainable, measurable outcomes. + Leads and performs the analysis, design, implementation, and ongoing management of Data Governance tools + Identifies data governance requirements by directly interacting with business and technical data users + Designs, coordinates and develops processes related to data ingestion, data lineage, data classification and data search + Collaborates with data subject matter experts to capture the definition of business terms and metrics + Manages data quality use cases and delivers satisfactory data quality monitoring solutions to customers + Leads and coordinates with data subject matter experts on the root cause analysis of detected data quality issues + Builds data mapping across systems to allow semantic comparability and interoperability for operational and analytics projects + Defines and applies best terminology management practices in maintaining reference data for various Intermountain clinical, business and analytical applications + Engages and educates business and technical data users across the enterprise for continuous participation and adherence to key data governance and stewardship policies + Ensures that documentation, data quality, and best practices are followed by teams across the data supply chain as key data assets are optimally leveraged and administered through the Data Governance program + Maintains technical knowledge of data management industry best practices, including those specific to healthcare + Assists in the definition and monitoring of program KPIs and metrics + Trains others on skills and competencies required for essential data governance work and assists with project management to drive timely deliverables **Skills** + Data Cataloging + Data Lineage Analysis + Reference Data Management + Data Quality Management + Data Stewardship Operationalization + Data Modeling + Data Architecture + Data Analysis + Software Development + System Integration + Business Glossary Management + Business Intelligence + Effective Communication + Problem Solving + Creative Thinking **Minimum Qualifications:** + Experience in independently managing and accomplishing key Data Governance work such as data cataloging, data classification, data lineage, business glossary management, and data stewardship operationalization + Experience with system and data integration via API + Experience with major Electronic Health Record (EHR) vended solutions and deep understanding of the backend data architecture and data modeling + Experience with modern enterprise data platforms such as Databricks and knowledge about data warehousing, data lakehouse, and ETL processes + Experience with business intelligence tools and metric definition and calculation + Experience with deploying and maintaining cloud-native applications + Must be able to demonstrate good understanding of how the clinical and administrative data are produced, consumed, and transformed + Experience with implementing enterprise data quality framework + Experience in Data Governance committees and the ability to work effectively with business stakeholders across and at all levels within the organization + Strong presentation skills, particularly in the development of compelling and insightful visual support materials + Proficiency in PowerPoint, Excel, Word, etc. and effective verbal, written and interpersonal communication skills **Preferred Qualifications:** + Experience with MDM + Experience with Data Governance + Experience with Collibra + Interact with others by effectively communicating, both orally and in writing + Operate computers and other office equipment requiring the ability to move fingers and hands. + See and read computer monitors and documents + Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment **Location:** Lake Park Building **Work City:** West Valley City **Work State:** Utah **Scheduled Weekly Hours:** 40 The hourly range for this position is listed below. Actual hourly rate dependent upon experience. $54.12 - $85.20 We care about your well-being - mind, body, and spirit - which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged. Learn more about our comprehensive benefits package here (***************************************************** . Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process. All positions subject to close without notice.

**Why join Pearson's intern program?** Pearson is the world's learning company. We help people of all ages acquire the knowledge and skills they need to be successful in their work and careers. We believe that everyone should be able to keep learning, every day and in every way, throughout their lives. Bringing together everything we know about the science of learning and the latest technology; we're shaping the future of teaching and learning. We're looking for the next generation of talented graduates to join our team for an unforgettable 8-week internship. An internship at Pearson is an opportunity to bring your own unique perspective as a learner, together with your academic knowledge, technical skills, and enthusiasm, to help create products that help fix the skills challenges faced by learners, employees and employers. As one of our interns, you will gain a comprehensive introduction to our business. You'll be assigned to a team to support real-life projects that bring our products and services to life and are ready to launch to our learners. On-the-job training and professional development will be provided to enable you to contribute to the business. You'll also have direct access to a senior member of the team, as each intern will be mentored to help you make the most of the 8-week program. During your internship, you will gain valuable hands-on experience to build your resume to stand out with future employers, such as Pearson We foster a work environment that's inclusive as well as diverse, where our people can be themselves. Every idea and perspective is valued so that our products reflect the people we serve - our teachers and students, employers and employees, and consumers and learners. **What Does the Internship Program Offer?** Pearson is offering an 8-week summer internship in 2026 for two exceptional doctoral students with strong psychometric skills who are eager to gain hands-on experience in large-scale educational assessment. Interns will engage in various aspects of operational K-12 assessments, including assessment development, item analysis, standard setting, and technical reporting. This opportunity also supports our LEAD goal, as interns frequently collaborate with our research scientists on co-publications and present their work at industry conferences. **Pay rate** The award includes a $9,000 stipend. You will be eligible for accrued paid sick time per the policy guidelines. Please refer to the Sick Leave Policy. **Job Description** As an Associate Research & Psychometric Analyst Intern, you will gain hands-on experience in large-scale educational assessment. Interns will work closely with Pearson research scientists to support operational K-12 assessment contracts, gaining applied experience in assessment development, item analysis, standard setting, and technical reporting. This internship also provides opportunities to collaborate on research, co-publish with experts, and present at industry conferences, enhancing both technical skills and professional communication in educational measurement **What does the 8- weeks involve?** During the 8-week program taking place between June and August 2026, with some flexibility in scheduling. Interns will gain hands-on experience in large-scale educational assessment, working closely with Pearson research scientists. Key activities include assessment development, item analysis, standard setting, and technical reporting. Interns will also have opportunities to enhance their collaboration and communication skills in educational measurement while contributing to real-world K-12 assessment projects. This position is fully remote, with occasional travel to company offices or partner locations as necessary. The role is primarily designated as a Remote Employee. For reporting purposes, the office location will be US-TX-Austin-400 Center Ridge. **Minimum Requirements** + Currently enrolled in a doctoral program in educational measurement, educational statistics, educational psychology, or a related field. + Completion of at least two years of doctoral-level coursework + Strong written and verbal communication skills. + Ability to commit exclusively to the Pearson summer internship (no concurrent internships or externships). _Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply._ _Pearson believes that wherever learning flourishes, so do people. We are committed to being an anti-racist company in everything we do. We value the power of an inclusive culture and a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm, and all individuals are supported in reaching their full potential._ _Through our talent, we believe that diversity, equity, and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to a sustainable environment and workplace where talent can learn, grow, and thrive._ _To learn more about Pearson's commitment to a diverse and inclusive workforce, please click here:_ *********************************************************** **APPLICATION PROCEDURE:** All candidates must apply online at: ********************** Type (21885) in the keyword search box to access the posting. In addition to the online application, each candidate must submit a curriculum vita, copy of graduate school transcript, two letters of recommendation, and a statement of purpose describing his or her interest in the internship. All application materials must be received by February 8, 2026. Internship awards will be announced by March 8, 2026. **Who we are:** At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing ******************************************. **Job:** Research, Efficacy, and Psychometrics **Job Family:** LEARNING\_&\_CONTENT\_DEVELOPMENT **Organization:** Assessment & Qualifications **Schedule:** FULL\_TIME **Workplace Type:** Remote **Req ID:** 21885 **Req Type:** Student \#location

**Summer 2026 Internship, Enterprise Data Management** Under Armour has one mission: to make you better. We have a commitment to innovation that lies at the heart of everything we do, not just for our athletes but also for our teammates. As a global organization, our teams around the world push boundaries and think beyond what is expected. Together our teammates are unified by our values and are grounded in our vision to inspire you with performance solutions you never knew you needed but can't imagine living without. **Position Summary** As an Under Armour Rookie you'll be given a hands-on, self-driven project that makes a real business impact. Throughout the 12 weeks you'll work one-on-one with a mentor and have access to learning experiences, such as interactive Q&A sessions with our executives and professional development opportunities with our talent advisors. With our focus on cross-functional collaboration and global mindset, as a Rookie, you get to see how your work goes way beyond yourself. **Placement Area** **Enterprise Data Management (EDM)** The Enterprise Data Management Rookie will join a team powering the storage, processing, integration and cataloging of UA data. As an EDM Rookie you will work across teams to support building pipelines, services, and tools that enable both internal teammates and our integrated systems with the data, information, and knowledge to fulfill UA's mission. This opportunity might appeal to students with majors such as: Computer Science, Mathematics, Statistics, Data Management, Data Science/Analytics, Economics or Engineering. **Eligibility** + Currently enrolled in a 4-year undergraduate or graduate program (expected graduation between December 2026 - July 2027). **Workplace Location** + Baltimore, MD headquarters office. + Relocation assistance provided. + Hybrid or fully in-office work schedule. **Hiring Process** Our resume review process will start immediately upon applying for this role. If our teams are interested in your experience, you will be invited to interview virtually with members of your potential team. You may have the ability to interview for multiple roles if the opportunity arises. Once virtual interviews are completed our recruiting team will extend offers or follow up with you directly on your status. **_At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Under Armour believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool._** Requisition ID: 162821 Location: Remote, US Business Unit: Region: North America Employee Class: Employment Type: Learn more about our Benefits here

About Encore Renewable EnergyEncore Renewable Energy is a leading integrated clean energy services company headquartered in Burlington, Vermont, focused on developing, building, owning and operating sustainable, high return community-scale solar PV systems, large scale energy storage applications and 21st century solutions for the redevelopment of underutilized property. Encore is a dynamic, high-growth entrepreneurial company, which requires a high degree of self-motivation, team orientation and an eager willingness of all team members to contribute to the firm's success across activities that fall directly within the scope of their position description as well as those that do not fall directly under the scope of the position. About this position Encore is currently seeking a highly motivated undergraduate or graduate student with the skills, experience, and aptitude to serve as a Business Development Intern. The successful candidate will work with our Business Development Team in support of the firm's rapidly growing renewable energy project origination, development, finance, and construction management practice. The Business Development Intern will work across the entire portfolio of Encore's project development activities. They will work closely with business development, project development, finance, and legal to support customer and land acquisition efforts utilizing a combination of outreach campaigns, GIS analysis, site research, and project financial model evaluation. This is a full time, 40 hours/week, internship will run from Tuesday, May 26 through Friday, August 14.Application will close 2/3/2026 at 11:59 pm.Your Core Responsibilites Answer inbound landowner calls generated from marketing outreach, gather basic site and land owner information, and schedule follow-up appointments for Business Development team members. Greenfielding/ Site Origination using GIS tools Initial Site Assessment Assist in preparing outreach campaigns to landowners to maximize response rates, managing incoming leads by phone/email, and cold-calling targeted lists. Lease Contract Development and Support Aid with day-to-day business development activities as needed such as CRM management, project tracking, and other administrative work. Other Responsibilities May Include Evaluate utility policies, tariffs, and electric rate schedules Research state-level solar and clean energy regulatory and interconnect policies as well as incentive programs related to Encore's interests Develop working knowledge of project financial models to assist with project evaluations Research land records and parcel information Assisting with preparing proposals in response to RFP solicitations and presentation materials to support customer meetings Research and keep Encore current with new laws, regulatory conditions, and incentives pertaining to energy generation and storage Your Strengths and Interests Passion for renewable energy or environmental issues Experience and/or education in Finance, Business, Engineering, Math, Economics, or other quantitative fields. Experience with Microsoft Office (Word, PowerPoint, Excel). Demonstrated abilities to develop high impact presentations and proposals and effectively develop work products and analyze data in Excel is a plus. Demonstrated capacity to learn complex concepts (local zoning ordinances, energy policy, renewables programs, etc.) Excellent verbal and written communication skills. Diligent, detail-oriented, and dynamic. Ability to manage competing priorities, set and work to deadlines, often with limited direct oversight. A high degree of emotional intelligence and grit. Experience working with ArcGIS, ESRI, Google Earth Pro, or other GIS-intensive software is a plus. Justice, Diversity, Equity, and InclusionEncore believes that an equitable and inclusive work environment, and a diverse, empowered team are key to achieving our mission. We are not looking for candidates who are “culture fits.” We are looking for candidates who can expand our culture, challenge business as usual, and bring their whole selves to work. We strive to provide all candidates with an equitable and accessible recruitment process. Encore provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, Encore complies with applicable state and local laws governing nondiscrimination in employment in every location in which Encore has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate.

Join Cognizant's Campus Recruitment Team and play a vital role in shaping the future of our workforce. As a Campus Recruiting Intern, you will gain hands-on experience at a global technology leader committed to innovation and inclusion. This role allows opportunities to connect with future leaders and contribute to impactful recruitment initiatives. Being on the campus recruitment team, the intern will work alongside encouraging mentors who are invested in one's career growth and make an impact through meaningful work that shape our future pipeline. This four-month internship offers real-world exposure, professional development, and the potential opportunity for conversion into a full-time role based upon performance, successful completion of the internship, and business needs. **Responsibilities** + Collaborate with campus teams to plan and implement recruiting events and strategies. + Build relationships with universities and student organizations to enhance Cognizant's visibility. + Coordinate and support activities such as career fairs, interviews, and campus presentations. + Manage communications with candidates, ensuring a seamless and positive experience. + Analyze recruitment metrics and trends to refine processes and elevate outcomes. + Contribute to creative projects that strengthen Cognizant's employer brand. **Basic Qualifications** + Pursuing or recently completed a degree in Human Resources, Psychology, Communications, or a similar field (May 2025 or December 2025 graduates preferred). + Passionate about talent acquisition, relationship building, and teamwork. + Excellent communication and organizational skills with an eagerness to learn. + Prior HR or recruiting internship experience is a plus, but not required. **Location(s)** This position is located in Teaneck, NJ, Plano, TX, Phoenix, AZ, Chicago, IL, Atlanta, GA, and Englewood, CO. **Start Date(s)** The internship will last 16 weeks, starting in Spring 2026. **Why Choose Us?** Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most sophisticated and patented capabilities. Our associate's backgrounds offer varied perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients. If you're comfortable with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you! **Salary and Other Compensation:** Applications are accepted on an ongoing basis. The hourly rate for this role is $30/hour depending on experience and other qualifications of the successful candidate. **Benefits:** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer:** The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. **Work Authorization** Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program). _Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities._ Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Job Title:** Operations Internship, Spring 2026 **Department:** Supply Chain **Country:** United States of America **State/Province:** Connecticut **City:** West Haven **Full/Part Time:** Part time Under close supervision, this position will assist with customers on providing transportation/logistics services. **:** Key Responsibilities: - Gain exposure and understanding of basic transportation management principles. - Become involved and participate in daily operational tasks including planning of freight; asset utilization; safety management; Department of Transportation (DOT) compliance; driver payroll; Customer Value Delivery; logistics management/analysis; driver supervision; profit-and-loss management; maintenance coordination. - Gain understanding of industry trends and company initiatives as it relates to driver retention. - Perform pertinent account-specific duties as required by customer. - Perform other related duties as required or assigned. **Qualifications:** Minimum Qualifications: + Currently enrolled in a four year undergraduate degree program and in good standing at an accredited college or university and pursuing a business degree or related field. Must be able to work 20-25 hours a week and complete a 12 week internship program. Junior or Senior level preferred. The expected starting pay range for this position is between [$15 - $18.75]. Skills & Abilities: Must have strong organizational skills and the ability to multi task Knowledge of Microsoft Office Suite applications Willing to work flexible hours **Compensation:** Factors which may affect starting pay within this range may include skills, education, experience, geography, and other qualifications of the successful candidate. This position may be eligible for annual bonus and incentives based on profitability or volumes in accordance with the terms of the Company's bonus and incentive plans, as applicable and in effect from time to time. **Benefits:** The Company offers the following benefits for full-time positions, subject to applicable eligibility requirements, as may be in effect from time to time: medical benefit, dental benefit, vision benefit, 401(k) retirement plan, life insurance, short-term and long-term disability coverage, paid time off commensurate with tenure (includes vacation and sick time), six weeks of paid maternity leave along with two weeks of paid parental leave, and six paid holidays annually. **Education:** GED (Required), High School (Required) **Work Experience:** Transportation/Logistics **Certifications:** **Job Opening ID:** 00614049 Operations Internship, Spring 2026 (Open) **_"This job description has been designed to indicate the general nature and level of work performed by employees within this_** **_classification._** **_It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job._** **_To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions."_** **_J.B. Hunt Transport, Inc. is committed to basing employment decisions on the principles of equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, persons with disabilities, protected veterans or other bases by applicable law._** **Fortune 500 experience. Career advancement. Nationwide relocation possibilities.** Headquartered in Northwest Arkansas, J.B. Hunt is a dominant force in transportation and logistics, offering exciting career opportunities both at corporate and at field locations across the country. There are a variety of job types that support our business, so no matter your passion, J.B. Hunt is the place to jumpstart your career. **Why J.B. Hunt?** J.B. Hunt is a leading transportation and logistics company for one simple reason - our people. The career possibilities and benefits of working at J.B. Hunt are endless. From competitive salary and benefits packages, to defined career paths and growth opportunities, we take care of our people and take great pride in our efforts to build and sustain an inclusive workplace for all employees. **What are we looking for?** J.B. Hunt welcomes high-energy, forward-thinking people of all backgrounds and experience levels to join our team. We offer full-time, entry level, professional and management opportunities across all departments. Whether you are fresh out of school or bring years of industry experience, a role at J.B. Hunt could take your career to the next level. J.B. Hunt is proud to serve individuals of all abilities. If you need assistance completing your application, please contact us at ************************* . J.B. Hunt Transport, Inc. affirms its belief in equal employment opportunity for all employees and applicants for employment in all terms and conditions of employment. J.B. Hunt is committed to both the spirit and the letter of affirmative action law and continues its good-faith efforts to comply with all applicable government laws and regulations. The company is committed to basing employment decisions on the principles of equal employment opportunity. J.B. Hunt will recruit, hire, compensate, offer benefits to, upgrade, train, layoff, terminate, and/or promote individuals without discrimination in regards to race, color, religion, sex, national origin, age, sexual orientation, gender identity, status as a qualified individual with a disability, status as a protected veteran, or other bases by applicable law. J.B. Hunt Transport, Inc. offers reasonable accommodation in the employment process for individuals with disabilities. If you need assistance in the application process due to a disability, you may request accommodation at any time by calling **************.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The AI and Data Analytics (AIDA) Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support. Read more about the AIDA division at ****************************************** We welcome qualified individuals to express interest in this position. All candidates who meet the minimum qualifications are encouraged to apply. **Responsibilities** PNNL is seeking Undergraduate students for assignments within the National Security Internship Program (NSIP). The AI and Data Analytics Division is looking for individuals who have a passion for solving critical national challenges using advanced computational, statistical, and mathematical techniques. The intern will be given an opportunity to be presented with complex problems in national security, energy, and science; apply cutting-edge research to make our nation safer and stronger; develop complex computer code; develop and participate in cyber competitions; design new visualization; work with big data and optimize solutions in diverse domains. Participants will be starting in cohort sessions and must be available to start in May or June 2026. **Diverse Focus Areas:** Your internship can be in one of six technical groups. + **Math, Stats, and Data Science:** We employ powerful tools and techniques, such as mathematical modeling and computational statistics, graph and game theory, network science, and uncertainty quantification to solve complex problems in a variety of domains. Disciplines : Applied Mathematics, Machine Learning, Statistics, Operations Research. + **Applied AI Systems:** We develop hardened and robust models to distill large, fast, distributed, and messy data into knowledge to support decision processes in operational environments on sponsor systems. Disciplines : Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language Processing. + **Foundational Data Science:** We conceptualize and develop fundamentally new algorithms and tools to address unresolved challenges in distilling large, fast, distributed, and messy data into knowledge to support sponsors' decision processes. Disciplines : Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language Processing. + **Software Engineering & Architectures:** We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using Agile development practices, code reviews, automated testing, and CI/CD pipelines. Disciplines : Cloud Engineering, Large-Scale Data Engineering, Scalable Machine Learning/Artificial Intelligence, DevSecOps, Automated Testing, Software Engineering. + **Human Centered Computing:** We combine innovative interactive visualizations with advanced automated data analysis techniques to enable users to gain deeper insights from their data. Make complex data useful through skillful visual design, compelling human computer interaction, sound analytic methods, and solid engineering. Disciplines : Data Science, Human-Computer Interaction, User Experience, Software Engineering, Natural Language Processing, Graph Analytics and Data Visualization. + **Operational Readiness & Enablement** : We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using agile development practices, code reviews, automated testing, and CI/CD pipelines. Disciplines : cloud computing, DevSecOps, software testing, data and AI engineering, project management. Positions are based in Richland or Seattle, WA. Work is primarily on-site, with remote arrangements considered only in rare circumstances and strictly based on business need. ****HOW TO APPLY**** To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration: Step 1: Upload Resume or CV in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to). Step 2: Upload a Cover Letter separately in "Additional Documents" section of the application titled "AIDA - Summer 2026 NSIP Cover Letter". Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 4:00 p.m. (PST) on the posting close date. **Qualifications** Minimum Qualifications: + Candidates must have a high school diploma /GED or higher + Candidates must be degree-seeking undergraduate students enrolled at an accredited college or university + Candidates must be taking at least 6 credit hours and have an overall cumulative GPA of 3.3 Preferred Qualifications: + Disciplines of interest: Applied Mathematics, Mathematics, Statistics, Data Science, Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Cloud Computing, Cybersecurity, Operations Research, Information Technology, Human-Computer Interaction, User Experience Design, Geospatial Science, Cognitive Science (computational focus), Systems Engineering, Project Management, Management Information Systems **Hazardous Working Conditions/Environment** Not applicable **Additional Information** This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $16.25/Hr. **Maximum Salary** USD $26.00/Hr.

At BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture. BETA is looking for a talented Data Scientist to join our Digital Products team. In this role, you will support BETA's expanding test programs, fleet operations, and manufacturing processes by creating tools to extract meaningful insights from data, building machine learning models, and transforming data to create derived, structured datasets. The ideal candidate enjoys diving into technical domains, can articulately convey findings and insights, and has a passion for data-driven solutions built on modern cloud data architecture. Working as part of our collaborative Data Science team, you will engage directly with diverse stakeholders across the organization, dive into various subdomains, and directly impact critical business decisions. Together, we're passionate about stewarding BETA's extensive datasets, building “Data for All” tools, empowering data-driven decision making, and extracting maximum value from our data assets.How you will contribute to revolutionizing electric aviation: Maintain and develop data pipelines that extract, transform, and validate data from data lakes and other sources Perform exploratory data analysis (EDA) to uncover trends and patterns Build data exploration tools and dashboards for technical stakeholders Develop, deploy and monitor machine learning models in production environments Design and implement data quality checks and monitoring systems Collaborate with cross-functional teams to address business problems with data-driven solutions Effectively communicate with both technical and non-technical stakeholders, translating complex data concepts into understandable insights and recommendations Work collaboratively with the Data Science team on technical design and architectural decisions while engaging directly with users to understand needs and iterate on solutions Take ownership of code and algorithms, ensuring thorough documentation and knowledge sharing to eliminate single points of ownership Conduct code reviews to maintain code quality, share knowledge, and uphold data science standards across the team Identify opportunities to eliminate manual workflows through automation and improved tooling Write clean, well-tested, production-ready code with comprehensive documentation following engineering best practices Minimum Qualifications: Master's degree in a related field (Data Science, Mathematics, Computer Science) or equivalent practical experience 5+ years of professional Data Science experience building and maintaining production-grade machine learning models, data pipelines, dashboards, and analytical tools Proficiency in a statistical programming language (e.g., Python) with demonstrated ability to write clean, maintainable code Experience with data manipulation libraries (e.g., Pandas, NumPy) Proficiency in SQL and other database systems for data extraction and aggregation Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) Knowledge of ETL/ELT processes, data pipeline design, and data modeling best practices Experience with version control systems (Git), automated testing, and CI/CD practices Experience with cloud platforms (e.g., AWS, GCP, or Azure) and their data services Excellent problem-solving and analytical skills Excellent written and verbal communication skills, with ability to present findings to non-technical stakeholders and collaborate effectively across cross-functional teams A strong desire to learn and adapt in a fast-paced, dynamic environment Above and Beyond Qualifications: Experience in aviation, aerospace, engineering, or manufacturing, with contextual domain knowledge related to the components of BETA Technologies Experience with data pipeline orchestration tools (e.g., Airflow) Experience with dashboard and visualization tools (e.g., Grafana, Tableau, PowerBI) Experience with DBT Core to build, test, and maintain data models Familiarity with large-scale data processing tools (e.g., Spark, Hadoop) Experience with knowledge graphs and graph databases (e.g., Neo4j, Amazon Neptune) Familiarity with containerization technologies (Docker) Experience deploying and using monitoring and alerting tools (e.g., Cloudwatch, Grafana) Build electric airplanes with us! BETA offers a competitive Total Compensation package designed to support you now and as you grow with us. This role includes both Restricted Stock Units and Performance Stock Units for all full-time team members, so everyone shares in our success. You'll have access to onsite healthcare in Vermont, comprehensive medical coverage, dental and vision, short- and long-term disability, and paid parental leave. We also take care of the everyday details with daily lunch provided, and yes-flight lessons are part of the experience, along with a range of additional perks that make work here genuinely rewarding. We encourage all driven candidates to apply, even if they do not meet every listed qualification. We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace. Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.

Description & Requirements The Business Development Intern supports the Business Development Federal Civilian Growth team by leveraging quantitative and independent research skills in the analysis of large, complex, and incomplete data sets to identify and assess potential business opportunities that result in measurable revenue growth and team success. The ideal candidate will live within a commutable distance to McLean, VA. Since 1975, Maximus has operated under its founding mission of Helping Government Serve the People, enabling citizens around the globe to successfully engage with their governments at all levels and across a variety of health and human services programs. Maximus delivers innovative business process management and technology solutions that contribute to improved outcomes for citizens and higher levels of productivity, accuracy, accountability and efficiency of government-sponsored programs. With more than 30,000 employees worldwide, Maximus is a proud partner to government agencies in the United States, Canada, Saudi Arabia, and the United Kingdom. For more information, visit *********************** Essential Duties and Responsibilities: - Conduct business analysis to support the Business Development department. - Support process improvements and project deliverables. - Research potential market trends. - Assist in special projects in the Business Development department. - Assist with ad-hoc reporting and other tasks. Job Specific Duties: -Conduct various forms of open-source research, including but not limited to: competitive intelligence, contracts & task order information, teaming partner analysis, and market trends. -Attend meetings to record essential information and assist in composing debriefs. -Support staff with ad hoc research and analysis. -Pull contracts intelligence data from industry research databases such as GovWin, Bloomberg Government, and SAM.gov. -Conduct market analysis and teaming partner activities. -Provides support to Capture and Proposal efforts as needed. Minimum Requirements - Currently enrolled in an accredited college or university and pursuing a college degree in a related field. - Must have completed a minimum 2 years of coursework. - Ability to perform comfortably in a fast-paced, deadline-oriented work environment. - Skilled in standard computer applications and platforms such as Outlook and MS Office Suite, PowerPoint, and Excel. - Excellent interpersonal communication, teamwork, and customer service skills. - Demonstrated ability to juggle multiple priorities with superior attention to detail. Preferred: -Excellent organizational and analytical skills -Demonstrated coursework in business, economics, or commerce related activities -Positive attitude and eagerness to learn EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 27.00 Maximum Salary $ 27.00