Data science internship jobs in Lexington, KY - 27 jobs

. The Financial Data Analyst supports strategic and operational decision-making by integrating financial planning, analysis, and business intelligence. This role converts complex clinical and financial data into clear, actionable insights that promote Lexington Clinic's growth and operational Excellence. REQUIRED QUALIFICATIONS: Bachelor's degree in finance, business, economics, fata analytics, or related field; 2 - 4 years of experience in financial analysis, business intelligence, or a related field. Strong analytical and problem-solving skills with attention to detail. Excellent written and verbal communication skills. Proven ability to manage multiple priorities independently in a fast-paced environment. Technical Experience working with large data sets and big data analytics tools. Experience with data lakes or similar big data platforms (general working knowledge acceptable), Power BI and/or Tableau, Python, R, Microsoft 365 Copilot. High-level proficiency in Microsoft Excel, including advanced formulas, pivot tables, macros, and data modeling. PREFFERED QUALIFICATION: Proficiency with database management and SQL preferred. Previous experience in the healthcare industry. Knowledge of Sage Intacct or Athenahealth. PHYSICAL GUIDELINES: Physical guidelines include the ability to move, traverse, position self remain in a stationary position and negotiate steps for up to eight hours per day, manual dexterity, visual and auditory acuity. NOTE: This document is intended to describe the general nature and level of work performed. It is not intended to act as an exhaustive list of all duties, skills, and responsibilities required of personnel so classified. Attendance is an essential function of the job. LEXINGTON CLINIC IS AN EQUAL OPPORTUNITY EMPLOYER (EOE)

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.

**Become a part of our caring community and help us put health first** The Principal Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Principal Data Scientist is highly skilled with broad, advanced technical experience and provides strategic advice and guidance to functional teams. The Consumer Digital organization at Humana develops innovative digital capabilities that empower people with personalized guidance and solutions to achieve their best health. We are seeking a Principal Data Scientist to lead advanced analytics initiatives and provide strategic insights that shape enterprise-wide decisions. This role combines deep technical expertise with leadership and advisory responsibilities, working closely with senior leadership to drive functional strategies across the organization. **Key Responsibilities** + Develop, maintain, and collect structured and unstructured data sets for analysis and reporting + Apply machine learning, mathematics, statistics, and business analysis to transform large, complex data into actionable insights + Build advanced models, projections, and presentations to support business strategy and tactics + Collaborate with senior executives to develop and drive segment- or enterprise-wide strategies + Mentor and guide junior data science talent **Use your skills to make an impact** **Required Qualifications** + Master's Degree or Ph.D. in machine learning, computer science, statistics, mathematics, data science, engineering, or a related quantitative field + 10+ years of hands-on experience applying machine learning and creating advanced analytics solutions to solve complex business problems + 2+ years of project and/or people leadership experience + Proficient in Python and PySpark, including libraries such as scikit-learn, TensorFlow, Keras, and Spark ML + In-depth knowledge of machine learning techniques such as regression, decision trees, ensemble models, neural networks, deep learning, clustering, and forecasting + Experience in working with high volumes of structured and unstructured data to develop tactical and strategic insights + Experience with cloud platforms (e.g., Azure, GCP, or AWS) + Strong analytical and critical thinking skills with a track record of delivering data-driven solutions in fast-paced environments + Experience with providing strategic advice and guidance to functional teams + Exceptional verbal and written communication skills, with the ability to explain complex concepts clearly to diverse audiences, including non-technical stakeholders + Demonstrated success in providing strategic guidance and working with senior executives on enterprise-wide initiatives + Experience mentoring and developing junior team members **Preferred Qualifications** + Knowledge of the healthcare domain + Experience in e-commerce analytics + Experience with NLP and Generative AI techniques and applications + 3-5 years of project and/or people leadership experience Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $172,200 - $236,900 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. **About us** Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. **Equal Opportunity Employer** It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ***************************************************************************

Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott & White Health Plan (Payer) and Baylor Scott & White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. **_The pay range for this position is $47.05/hour (entry level qualifications) - $72.93/hour (highly experienced). The specific rate will depend upon the successful candidate's specific qualifications and prior experience._** **ESSENTIAL FUNCTIONS OF THE ROLE** + Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations. + Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives + Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. + Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care. + Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. **KEY SUCCESS FACTORS** The ideal candidate will have some of the following skills and an eagerness to learn the rest. + Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. + Education: Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. + Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals. + Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. + Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. + Problem Solving: A passion for solving puzzles and digging into data. + Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. **BENEFITS** Our competitive benefits package includes the following + · Immediate eligibility for health and welfare benefits + · 401(k) savings plan with dollar-for-dollar match up to 5% + · Tuition Reimbursement + · PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level **QUALIFICATIONS** - EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification - EXPERIENCE - 3 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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 (**************************************** .

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve. Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies Certified as a Great Place to Work Fortune Best Workplaces in Financial Services & Insurance Data Analyst Manager **PRIMARY PURPOSE OF THE ROLE:** To manage a staff of data analysts; to develop complex reports and analyze company data including Corporate or client specific data; to serve as a technical resource for company staff on data analysis and benchmarking issues; to meet with clients on such issues as necessary; to provide training and data analysis education for program staff; and to provide technical oversight and guidance to client dedicated analysts located in multiple field offices. **ARE YOU AN IDEAL CANDIDATE?** We are looking for enthusiastic candidates who thrive in a collaborative environment, who are driven to deliver great work, are customer-oriented and are naturally empathetic. **ESSENTIAL RESPONSIBLITIES MAY INCLUDE** + Project Management experience preferred + Manages a staff of data analysts including project assignment and workflow. + Develops comprehensive, complex and accurate information reports including OSHA reporting for a specific client. + Creates complex data reports and provides analysis for forecasting and/or benchmarking used by senior management. + Reports directly to senior management and communicates data findings for forecasting and client needs. + Obtains, analyzes and provides appropriate feedback on company or client specific information needs. + Provides complex data analysis functions to meet client specific, program or company senior management needs. + Serves as a resource for colleagues on data analysis and benchmarking issues. + Provides technical oversight and guidance to client dedicated analysts located in multiple field offices. + Provides training and data analysis education for colleagues. **QUALIFICATIONS** Bachelor's degree with major in Business Administration, Statistics, or Quantitative Analysis from an accredited college or university preferred. Computer Science courses preferred. Eight (8) years of related experience or equivalent combination of education and experience required to include four (4) years business experience in an insurance related field and four (4) years statistical analysis required. Supervisory experience preferred. Skills & Knowledge + Project Management + Knowledge of risk management information systems including utilization and functionality + Excellent oral and written communication, including presentation skills + PC literate, including Microsoft Office products + Analytical and interpretive skills + Strong organizational skills + Strong time management skills + Excellent interpersonal skills + Excellent negotiation skills + Ability to work in a team environment + Ability to meet or exceed Performance Competencies Credit Check required Project Management, SQL, and Python Experience desired. **TAKING CARE OF YOU** + Career development and promotional growth opportunities. + A diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more. \#IT \#informationtechnology Work environment requirements for entry-level opportunities include - Physical: Computer keyboarding Auditory/visual: Hearing, vision and talking Mental: Clear and conceptual thinking ability; excellent judgement and discretion; ability to meet deadlines The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Sedgwick retains the discretion to add or to change the duties of the position at any time. Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. **If you're excited about this role but your experience doesn't align perfectly with every qualification in the , consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the** **right candidate for this or other roles.** Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. **If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.** **Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see** **sedgwick.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 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.

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities: Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development. Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives. Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents. Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models. Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models. Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment. Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities. Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development. Qualifications: A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred. 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision. Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs). Experience with multimodal data processing (e.g., combining text, image, and 3D data). Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy. Strong background in probability, statistics, and optimization techniques relevant to generative modeling. Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker). Familiar with software engineering principles, including version control, reproducibility, and continuous integration. Experience in the manufacturing, supply chain, or similar industries is a plus. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Your Opportunity as an Operations Engineering Intern As an intern within Operations, you will work with operating technicians and salaried employees to collect data and learn the manufacturing process to create process improvement opportunities, complete and manage projects, and effectively document and communicate results. Location: Lexington, KY Work Arrangements: On-site, 100% in-person expectation In this role you will: * Work closely with manufacturing technicians on the plant floor to develop process improvement areas and understand manufacturing processes * Coordinate activities of contractors, hourly technicians, and other resources * Prepare standard reports and documentation to communicate results * Manage projects holistically from scope development, capital appropriation, implementation, commissioning, and verification * Collect, analyze, and utilize data to execute improvements while interfacing with salaried employees and technicians to deliver effective initiatives What we are looking for: * A rising junior or senior standing in school with requisite educational experience in engineering - Mechanical, Electrical, Chemical, or Industrial engineering is preferred. * A well-rounded skill set including the ability to define problems, collect data, establish facts, and draw valid conclusions * Must be able to work in both an office and plant environment and comply with all safety procedures * A passion to help in our Inclusion, Diversity & Equity journey - working toward a thriving community where everyone feels mutual respect, a sense of belonging and can express their whole selves Why Choose the J.M. Smucker Company's Internship Program? Are you seeking an exceptional internship experience at a Fortune 500 company? At Smucker, we are dedicated to providing a world-class, award-winning internship that offers you the opportunity to: * Learn: Unlock your potential in a collaborative and supportive environment where you are treated like a true peer and challenged to be your best. * Grow: Benefit from hands-on training with a dedicated mentor and connect with peers and leaders throughout the company. * Lead: Contribute to high-profile projects that support our Company's growing categories like snacks, coffee and pet food. Additional Perks: Along with engaging work, we offer a variety of benefits to ensure your internship is both rewarding and memorable. These include: * Unique opportunities to network and interact with company leadership * Customized professional development sessions * Networking events and social outings with fellow interns * A competitive compensation package, including paid corporate holidays * Compensation range: $22 - $27/hr * Actual hourly rate is determined based upon the year of college that will be completed at the start of the internship* * A housing stipend for interns relocating for the program Experience an internship where you can learn, grow, and lead - all while being part of something special at Smucker. Learn more about working at Smucker: * Our Internship Program * Delivering on Our Purpose * Our Continued Commitment to Ensuring a Workplace for All Follow us on LinkedIn

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.

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

Responsibilities Noblis is seeking a highly motivated research intern to support critical national security programs. This position offers the opportunity to contribute to information management systems and data-driven decision-making processes that support defense and security operations. As a Noblis intern, you will do real work on projects where you can learn, contribute, and see what it's like to be a working professional in your field. You will be an integral part of our team from day one, collaborating with full-time staff to create innovative, mission-focused solutions for many of our clients' most pressing problems. This internship will be done over the course of the spring semester **Key Responsibilities:** - Support the development and maintenance of portfolio management information systems containing developmental medical countermeasures (MCMs) and related data packages - Assist in conducting research and analysis on MCM development - Contribute to the compilation and organization of critical data that drives portfolio strategies for decision makers - Support data analysis and visualization efforts to inform stakeholder decisions - Assist in preparing briefings and reports for program leadership Required Qualifications - Currently pursuing a Master's degree or higher in Biology, Biodefense or similar national security domain, or related field - Strong research experience, including systematic literature reviews and data analysis - Proficiency with data analysis tools - Experience with qualitative and quantitative research methodologies - Excellent written and oral communication skills, including policy memo writing and briefing - Ability to work with large datasets and information management systems - Strong organizational and project management skills - US Citizenship and the ability to obtain a secret clearance Desired Qualifications - Experience with open-source analysis and archival research - Background in international security, biosecurity, or related fields - Experience working on projects related to defense, security, or public health - Familiarity with portfolio management or program evaluation - Experience coordinating with professionals across multiple sectors - Demonstrated ability to manage multiple projects simultaneously Overview Noblis (*********************** and our wholly owned subsidiaries, Noblis ESI , and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Learn more at Noblis -About Us (***************************************** **Why work at a Noblis company?** Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards (************************************ . Noblis maintains a drug-free workplace. * _Remote/hybrid status is subject to change based on Noblis and/or government requirements_ Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us (*************************** . EEO is the Law (************************************************* | E-Verify (****************************************************************************************************************************************************************** | Right to Work (**************************************************************** Total Rewards At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits (************************************* page on our Careers (**************************** site. Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package. Posted Salary Range USD $23.00 - USD $38.00 /Hr.

. Schedule: To be discussed further upon interview. Requirement: Must be currently enrolled in a college/university. Pay Rate: $20.00 per hour. The advertised program is a conversational recruiting assistant that helps you apply to jobs with Compass Group. Message frequency varies. Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: *************************** Skg About Canteen: Canteen brings break time to everyone. We combine food, service, and experience backed by industry-leading technology to help companies create a better workplace and connect their employees. Canteen's solutions include markets, office coffee and snacks, unattended retail, and culinary. Our people are at the heart of everything we do. Their dedication, collaboration, and passion fuel our growth . Interested in joining our team? You bring the enthusiasm, customer service, and commitment; we'll supply the opportunity and innovation. Together, we'll continue to transform our industry. Come for the job, stay for the career. We are Canteen. Operations Intern Job Description About Canteen At Canteen, we make break time better. We provide food, snacks, coffee, and self-service retail options that help companies create great workplaces. Our work combines friendly service, great food, and smart technology to keep things running smoothly. Our people are the reason we succeed; they're passionate, team-oriented, and always ready to make an impact. If you bring the energy, strong customer service skills, and a positive attitude, we'll bring the opportunity, innovation, and support to help you grow. Let's shape the future of the industry together. Internship Overview As an intern with Canteen (part of Compass Group), you'll get hands-on experience in how we operate and support our clients. You'll learn best practices from industry leaders and apply them to real-world projects. Your internship may include work in areas like: Marketing & Customer Service Retail & Merchandising Branch Operations & Support Services Finance, Purchasing & Supply Chain Profit & Loss Management You'll also gain exposure to our core services: Coffee & Refreshments Vending Services Avenue C Micro-Markets This is a great opportunity to explore the inner workings of a national food service company while building valuable professional skills. Job Responsibilities As a Canteen intern, you'll support daily operations and contribute to meaningful projects. Responsibilities may include: Assisting with projects that improve business performance Supporting customer service efforts and occasionally interacting with clients Helping organize tasks for Micro Markets, Vending, and Coffee Services Sharing ideas to improve workflows and best practices Collaborating with your team to streamline operations and increase efficiency Job Requirements To be eligible for this internship, you should: Be currently enrolled in a college or professional hospitality or culinary program (proof of enrollment required) Meet your school's GPA requirement for internships Be available to work 32-40 hours per week, based on business needs and program requirements Have strong organizational skills and be comfortable multitasking in a fast-paced environment Understand the basics of customer service and client relationships Note: College credit is not required, but we can provide documentation if needed About Compass Group: Achieving leadership in the foodservice industry Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. Applications are accepted on an ongoing basis. Canteen maintains a drug-free workplace. Canteen

A position at White Cap isn't your ordinary job. You'll work in an exciting and diverse environment, meet interesting people, and have a variety of career opportunities. The White Cap family is committed to Building Trust on Every Job. We do this by being deeply knowledgeable, fully capable, and always dependable, and our associates are the driving force behind this commitment. **Job Summary** Internship allows students to gain hands-on experience in areas such as operations, warehouse management, distribution, production, and other departments. **Major Tasks, Responsibilities, and Key Accountabilities** + Performs designated tasks and assignments to gain understanding of business functional needs. + Provides insights and recommendations for improvements on business functions. + Assists other associates with assigned tasks. Uses these interactions to gain information, insight, and experience. + Produces findings and draws conclusions from analyses. Makes oral and written recommendations to management. + Executes tasks directly related to functional projects and/or process improvements. + Communicates issues and roadblocks related to areas of responsibility. + Assists in research or special projects in a variety of areas in order to fulfill business initiatives and meet business objectives. **Nature and Scope** + Refers complex, unusual problems to supervisor. + Under general supervision, exercises some judgment in accordance with well-defined policies, procedures, and techniques. Work typically involves regular review of output by a senior coworker or supervisor. + None. **Work Environment** + Typically located in a comfortable environment but with regular exposure to factors that may cause noticeable discomfort or a moderate risk of accident or illness, such as temperature extremes, moving machinery, loud noises, and fumes. + Ability to lift and carry up to 50 pounds in a physical environment. Ability to stand for periods of time up to and exceeding 60 minutes. Ability to make repetitive movements, such as using a 10-key or calculator, bending, or squatting. + Typically requires overnight travel less than 10% of the time. **Education and Experience** + High School Diploma or GED strongly preferred **Preferred Qualifications** + Currently pursuing a college degree. + Demonstrated superior academic performance and strong critical thinking, communication & analytical skills. + Solid track record of results-oriented leadership. If you're looking to play a role in building America, consider one of our open opportunities. We can't wait to meet you. **Functional Area** General **Work Type** On-Site **Recruiter** Baycora, Ashley **Req ID** WCJR-028369 White Cap is an Equal Opportunity Minority/Female/Individuals with Disabilities/Protected Veteran and Affirmative Action Employer. White Cap considers for employment and hires qualified candidates without regard to age, race, religion, color, sex, sexual orientation, gender, gender identity, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law.

Complete a 12-week program designed to provide overview of store operations, marketing, merchandising, purchasing, supply chain management, financial analysis and human resources. The internship also offers job shadowing with store management, a designated retail project and the experience of working as part of an effective team. Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety. Minimum Enrolled in an accredited college or university. Excellent oral and written communication skills. Ability to navigate change and respond to challenges with a positive demeanor. Demonstrate initiative and to work independently, as well as collaboratively, in a team environment. Commitment to providing superior customer service. Desired Involvement in leadership and community activities Gain understanding of a favorable customer shopping experience, the importance of associate engagement in customer service/relations and how to role model the highest level of customer service. Gain understanding of how a store manager leads teams in the planning, implementation and execution of merchandising and operating initiatives. Gain understanding of how as store manager develops action plans and communications to store associates. Training at multiple locations inclusive of retail stores, distribution and/or division office Complete special assignments, as requested. Curate a cumulative retail project and present to division leadership. Must be able to perform the essential job functions of this position with or without reasonable accommodation.

**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

Job Description/Responsibilities Through business-critical projects, you'll build a working knowledge of our industry, strengthen your professional skill sets, and directly contribute to company growth. What to Expect as an Intern, you will collaborate closely with our leadership team, gain a deep understanding of our departments and the career paths within them, and take on hands-on projects that directly influence productivity and efficiency. The Internship Experience: 12-week summer internship from May2026 -August 2026 Professional development workshops and networking opportunities Social and philanthropic activities Work with a mentor to build project plans, set goals, and receive ongoing feedback Execute process improvement projects in key areas such as bottling, processing, distribution, and maintenance Develop and document standards for assigned processes Deliver an end-of-summer project presentation Opportunity to earn a full-time role after graduation Qualifications/Requirements Currently pursuing a bachelor's degree in engineering and graduating between Dec 2026-May 2028 Must be at least 21 years of age by the start of either program GPA 3.0 or above Self-motivated, strong work ethic, innovative, solution-oriented mindset, with a passion for learning Team player with effective communication skills and a high level of emotional intelligence Strong analytical skills and technical aptitude Willingness to relocate (your intern location will be determined Spring 2026) #LI-AS1

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 PhD 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 be currently enrolled/matriculated in a PhD program at an accredited college. + Minimum GPA of 3.3 is required. 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 $24.04/Hr. **Maximum Salary** USD $36.06/Hr.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities: Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development. Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives. Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents. Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models. Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models. Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment. Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities. Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development. Qualifications: A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred. 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision. Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs). Experience with multimodal data processing (e.g., combining text, image, and 3D data). Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy. Strong background in probability, statistics, and optimization techniques relevant to generative modeling. Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker). Familiar with software engineering principles, including version control, reproducibility, and continuous integration. Experience in the manufacturing, supply chain, or similar industries is a plus. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.