Data science internship jobs in Vermont

Data Science Intern . Come join one of America's fastest growing insurance companies with a stable history of over 175 years. At National Life Group (“NLG”), we offer a flexible work environment with opportunity for growth. As a mission-driven business, our promises are as important as the products we sell. We encourage our associates to live our values: Do Good. Be Good. Make Good. Our mission extends beyond the insurance and annuities policies that we sell. Our cause is also to make the world a better place through grants from our charitable foundation, paid time for our employees to volunteer, environmentally sustainable and healthy work sites, and events that promote the work of nonprofits in our own backyard. We invite you to explore what we have to offer and to join our cause. POSITION SUMMARY: At National Life Group, we are unlocking the power of data and AI to transform our business and enhance customer experience. Our Data & Analytics team is leading this effort through innovation in machine learning, advanced analytics, and Generative AI. As a Data Science Intern, you will contribute to projects within our AI Center of Excellence (AI CoE). You'll gain hands-on experience applying computer science and data science techniques to real business challenges. Projects may range from supporting the development of predictive models to experimenting with Generative AI solutions (such as summarization, chatbots, and content generation). This is a unique opportunity to explore both traditional data science methods and emerging AI technologies while working in a collaborative, mission-driven environment. RESPONSIBILITIES: Support the design and development of AI/ML models, including both traditional algorithms and Generative AI use cases. Assist with data analysis, feature engineering, and exploratory research to improve model performance. Help evaluate and test LLMs (Large Language Models) and other AI tools for business applications. Contribute to building datasets, pipelines, and experiments to support data-driven decision making. Participate in discussions on AI ethics, governance, and responsible use. Collaborate with cross-functional stakeholders to translate business needs into technical experiments. Document findings, build presentations, and share insights with team members. QUALIFICATIONS: Currently pursuing a Batchelor's or master's degree in computer science, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python (experience with libraries like Pandas, Scikit-learn; exposure to PyTorch/TensorFlow, Hugging Face, or LangChain is a plus). Familiarity with SQL and data manipulation. Exposure to machine learning concepts (classification, regression, NLP, etc.); coursework or projects in Generative AI is a plus. Curiosity and eagerness to learn about both modern AI technologies and foundational statistical methods. Strong communication skills and ability to work collaboratively in a team environment. HOW YOU SHOW UP: Curious, innovative, and eager to explore new approaches. Highly reliable and engaged, with a growth mindset. Comfortable asking questions, experimenting, and learning from feedback. Effective communicator to both technical and non-technical audiences. Demonstrate analytical and critical thinking skills, with a problem solver's mindset. PROGRAM HIGHLIGHTS: 10-week paid internship (June - August) with formal orientation and onboarding. Networking opportunities with peers and leaders throughout the summer. Cross-departmental group project presented at a company-wide event. Coaching and learning sessions to build technical and professional skills. Access to mentors (including prior program participants). The base compensation range represents the low and high end of the range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to qualifications, skills, competencies, location, and experience. The range listed is just one component of our total compensation package for employees. Other rewards may include an annual bonus, quarterly bonuses, commissions, and other long-term incentive compensation, depending on the position. National Life offers a competitive total rewards package which includes: a 401(k) retirement plan match; medical, dental, and vision insurance; a company funded wellness account for director and below employees; 10 paid holidays; a generous paid time off plan (22 days of combined time-off for non-exempt employees and exempt employees have discretion in managing their time, including scheduling time off in the normal course of business, but in no event will exempt employees receive less sick time than required by state or local law); 6 weeks of paid parental leave; and 6 weeks of paid family leave after a year of full-time employment. National Life is accepting applications for this role on an ongoing basis and the role remains open until filled. National Life Group is a trade name of National Life Insurance Company, Montpelier, VT - founded in 1848, Life Insurance Company of the Southwest, Addison, TX - chartered in 1955, and their affiliates. Each company of National Life Group is solely responsible for its own financial condition and contractual obligations. Life Insurance Company of the Southwest is not an authorized insurer in New York and does not conduct insurance business in New York. Equity Services, Inc., Member FINRA/SIPC, is a Broker/Dealer and Registered Investment Adviser affiliate of National Life Insurance Company. All other entities are independent of the companies of National Life Group. National Life Group 1 National Life Dr Montpelier, VT 05604 Social Media Policy Site Disclosure and Privacy Policy

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Physical and Computational Sciences Directorate's (PCSD's) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. But our most important resource is our people-experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time. The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing artificial intelligence, applied mathematics, computing technologies, and data and computational engineering. Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of complex systems in science, energy, and national security. **Responsibilities** The Future Technology Computing group seeks **PhD intern** for the **Winter/Spring of 2026** with a strong background data privacy and cybersecurity, especially focusing on data privacy techniques. Potential candidates should have also strong background in statistical methods and data privacy methodologies. Knowledge in disaggregated memory and distributed computing for scientific workflows is preferred but not strictly required. The internship can be either remote or onsite based on the availability of the candidate. The candidate will be expected to use and familiarize themselves with world leading technologies which are available at the Pacific Northwest National Laboratory. The expected outcome involves high quality research work, represented by peer-reviewed publications and: + Design and test novel privacy techniques for large data storage, shared memory systems. + Participate in the develop and publication of a peer-reviewed publication to present the proposed techniques. + Enhance novel datasets for testing the given techniques. The duration of the internship is 4 months. **Qualifications** Minimum Qualifications: + Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. + Minimum GPA of 3.0 is required. Preferred Qualifications: + Current enrollment in a Computer Science or Computer Engineering PhD program. + Prior research experience. + Experience working with disaggregated memory systems and concurrent programming. **Hazardous Working Conditions/Environment** Not Applicable **Testing Designated Position** This is not a Testing Designated Position (TDP) **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $24.04/Hr. **Maximum Salary** USD $36.06/Hr.

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 (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. 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) 11. 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 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/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@fb.com.

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. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#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: $136,000-$170,000 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 (**************************************** .

Details Our research program seeks an experienced data analyst with specialized bioinformatics expertise to support active research projects involving DNA methylation, RNA sequencing, and spatial genomics. The analyst will be responsible for processing and interpreting high-dimensional datasets using established and emerging tools. This position is essential to the success of multiple funded projects and will play a critical role in enabling future grant applications and publications. The ideal candidate is collaborative, detail-oriented, and experienced with bioinformatics pipeline and data integration in a biomedical research setting. Minimum Qualifications (or equivalent combination of education and experience) Master's degree in bioinformatics, computational biology, data science, or a related scientific discipline. Three to five years of experience in research data analysis, including experience with omics datasets and integration of multiscale data sets. Proficiency in scripting languages such as R or Python for data processing and statistical analysis, as well as interaction with HPC. Strong organizational and communication skills, with the ability to work independently and collaboratively. Desirable Qualifications Additional formal training or certification in bioinformatics, statistics, or data science. Hands-on experience processing DNA methylation array data, RNAseq, or spatial biology/transcriptomics datasets. Familiarity with tools for multi-omic integration and data visualization. Prior contributions to manuscripts or grant applications. Experience in academic or biomedical research settings. Demonstrated ability to work effectively in collaborative, interdisciplinary teams. Anticipated Pay Range $75,000-$82,000 Other Information Special Conditions A probationary period may be required, Contingent on continued funding, Occasional evening and/or weekends required (if non-exempt position, may result in overtime), This position is eligible for a hybrid schedule with an option to split time between campus and elsewhere, in accordance with the university telecommuting policy, Background Check required for this position FLSA Exempt Union Position Yes, UVMSU Posting Details Position will be posted for a minimum of one week, after which it is subject to removal without notice. Job Location Burlington, Vermont, United States Job Open Date 12/11/2025 Job Close Date (Jobs close at 11:59 PM EST.) Open Until Filled No Our Common Ground Statement The University of Vermont is a welcoming, educationally purposeful community committed to creating an inclusive environment that embraces intellectual diversity and global perspectives. We seek to prepare students to be accountable leaders who will bring to their work a grasp of complexity, effective problem-solving and communication skills, and an enduring commitment to learning and ethical conduct. Members of the University of Vermont community embrace and advance the values of Our Common Ground: Respect, Integrity, Innovation, Openness, Justice, and Responsibility. Staff play a critical role in this effort and the successful candidate will demonstrate a strong commitment to UVM's mission and advancing Our Common Ground values through the execution of their job duties. Position Information Position Title Research Data Analysis PC3 X Posting Number S5859PO Department Pathology&Laboratory Medicine/55650 Position Number 00027746 Percent of Full-Time 1.0 Standard Hours at 1.0 FTE 37.5 Term (months per year) 12 Supplemental Questions

The Data Conversion Analyst is responsible for performing quantitative and qualitative analysis that supports the successful conversion of both internal and external systems into Casella's Lead to Cash environment. The incumbent gathers and analyzes data from source systems to ensure that converted data meets Casella's standards or identifies issues requiring additional, qualified assistance. This role plays a key part in maintaining data integrity and supporting business continuity during system transitions. Hiring Range: From $80,000-$100,000 Key Responsibilities * Demonstrates deep knowledge of the Lead to Cash system and its associated data governance principles, ensuring data integrity, consistency, and compliance throughout the conversion process. * Extracts and prepares relevant data from source systems for accurate analysis and informed decision-making. * Reviews source data to detect and resolve inconsistencies prior to conversion, ensuring accuracy and alignment with data standards. * Leads the development and stewardship of Casella's master data, including products, materials, and related items. * Supports fee implementation from acquisition data and analyzes the impact of proposed fee structures. * Builds strong relationships with system users to validate data understanding and collaboratively review source data for accuracy and completeness. * Collaborates closely with IT to validate data conversion logic and ensure all assumptions align with system requirements and business objectives. * Applies sound judgment to identify when manual intervention is required to ensure accurate and complete data conversion. * Delivers high-quality work within established timelines while proactively seeking clarification when needed to ensure accuracy and alignment with project goals. * Participates in training and other learning opportunities to expand knowledge of the company, products, sales and services and performs any other duties needed to help drive our vision, fulfill our mission, and/or abide by our core values. Education, Experience & Qualifications The successful candidate will possess a strong working knowledge of the solid waste industry from an operations, accounting, or financial background. The incumbent must demonstrate effective project leadership to balance data gathering and analysis while working with key staff to complete critical business projects. A proven ability to work as part of a team in a collaborative environment is essential. Excellent verbal, written, analytical, and formal presentation skills, the ability to multitask and meet consistent deadlines, and strong time management and organizational abilities are required. Exceptional computer and financial modeling experience, along with strong leadership and interpersonal skills, are expected. An MBA or bachelor's degree is desired but not required for this position. Attributes An analytically minded and self-directed individual that possesses the critical combination of meticulous attention to detail with the ability to see the larger picture. Outstanding problem-solving skills, statistical knowledge, and the ability to work comfortably under pressure while delivering on tight deadlines are essential.

Adecco is hiring immediately for On-Site Data Entry Analysts in South Burlington, VT. While working in a Data Entry Analyst job for Adecco, you will earn $20.00-$23.00/hour based on shift + other great benefits! Our client is a global leader in financial services, offering solutions to the world's most important corporations, governments, and institutions in more than 100 countries. Get in on the ground floor with no specific skills needed, just a great attitude, desire to learn, and ability to show up and do your best every day. Data Entry Analyst jobs with Adecco enjoy some great benefits! + Competitive benefits with options such as medical, dental, vision, and 401(k) + Weekly pay + Skills Training + Bonuses Requirements: + Ability to confirm and/or correct data that is presented for data capture to align to information on document + Flexibility and willingness to learn and be utilized in all areas of operation + Ability to look at computer screen for up to 8 hours + 7,000 keystrokes per hour We have multiple shifts available and can help you choose the best shift to fit your schedule! For instant consideration for this Data Entry Analyst job in South Burlington, VT, click on Apply Now! We are hiring immediately! **Pay Details:** $20.00 to $23.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ********************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: + The California Fair Chance Act + Los Angeles City Fair Chance Ordinance + Los Angeles County Fair Chance Ordinance for Employers + San Francisco Fair Chance Ordinance **Massachusetts Candidates Only:** It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

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

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Coinbase's Unit 0x is a specialized on-chain investigations team at the forefront of securing the crypto ecosystem. We identify, analyze, and mitigate critical on-chain threats-including exploits and illicit activity-using advanced blockchain analytics and investigative techniques. Our mission-driven team protects both Coinbase and the broader web3 community from emerging risks. As an Onchain Data Analyst & Researcher, you'll lead challenging investigations into illicit activity, proactively research threat actors, and develop scalable methods to detect suspicious patterns. You'll play a key role in high-risk incidents, special projects, and the continuous improvement of our investigative processes. Success in this role requires curiosity, strong blockchain data analysis skills, and a passion for uncovering and neutralizing threats. If you thrive on solving complex problems with data and want to help shape a secure future for blockchain adoption, we want you on our team. Onchain is the new online. Join us in building a secure future for the next billion users. *What you'll be doing (ie. job duties):* * Conduct in-depth investigations and research into illicit activity, scams, onchain exploits, and vulnerabilities, using blockchain analytics and clustering techniques to surface suspicious trends and patterns. * Analyze and document exploit methodologies, attack vectors, abuse patterns, and incident impacts, providing actionable intelligence to strengthen Coinbase's security posture. * Develop and automate scalable methods for detecting and understanding emerging threats, including building dashboards, writing queries, and supporting incident response with clear, quantitative reporting. * Collaborate with cross-functional teams to educate and advise on evolving exploit tactics, risk landscapes, potential mitigations and investigative best practices. * Monitor and research threat actors, their environments, and emerging blockchain trends to stay ahead of illicit activity and technological developments. * Respond to urgent, sensitive cases with discretion and professionalism, and support team members as needed. * Handle highly sensitive cases with respective urgency and discretion; * Other duties and responsibilities as required or assigned. *What We Look For In You (i.e., Job Requirements)* * A well-organized self-starter who is able to constantly learn and work autonomously; * Ability to handle highly sensitive information; * Excellent writing, analytical and communication prowess; * Deep knowledge of blockchain ecosystems and; * Investigative mindset; * Strong SQL skills - particularly around on chain analysis in conjunction with working knowledge of abuse vectors; * Knowledge to leverage AI to 10x output. *Nice to haves:* * Previous experience in corporate OSINT analysis * Experience with Dune Analytics, Flipside, and/or Chainbase. Position ID: P70663 \#LI-Remote *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $144,500-$170,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

The Assessment Division at the Agency of Education (AOE) is seeking a Data Analyst to support the collection, management, analysis, and reporting of state assessment data in accordance with state and federal requirements. Results from state assessments play an essential role in Vermont's educational system by supporting school accountability, guiding the monitoring of school and district performance, identifying achievement gaps, and enhancing public transparency. Given the high-stakes nature of this work, the successful candidate will demonstrate a strong commitment to data quality, meticulous attention to detail, and excellence in core data science practices. Because the division's methodologies are fully transparent and many data products are publicly accessible, all outputs must be accurate, reliable, and error-free. In addition, the role involves handling sensitive information and therefore requires strict adherence to data privacy and security protocols. Primary Responsibilities: * Collaborate with assessment vendors to support all data-related components of assessment administration. * Maintain and integrate assessment data into the State Longitudinal Data System (SLDS) using SQL and secure ETL processes. Ensure accurate student matching, historical continuity, and archival storage for analysis and reporting. * Prepare and validate assessment data files for public and field reporting, including disaggregation by student group, school, and assessment program. * Conduct User Acceptance Testing on assessment vendor dashboards and internal AOE tools used for reporting. Verify accuracy, accessibility, and alignment with business rules, log issues and track vendor corrections through resolution. * Perform data stewardship activities by maintaining clear documentation and business rules for assessment and accountability processes, including data dictionaries, calculation methodologies, and crosswalks for both public use and internal audit. Ideal Candidate Qualifications: * Proficiency in data management, analysis, and reporting of assessment and accountability data, including support for ad hoc requests such as public records requests. * Strong working knowledge of data manipulation tools and environments (e.g., SQL Server; notebook-based development environments such as JupyterLab/Python or Databricks). * Experience using statistical analysis tools (e.g., SSMS, R) for data processing and reporting. * Demonstrated experience handling sensitive data responsibly and

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

Peckham Industries Pay Range: $22.00 - $22.00 Salary Interval: Intern Description: Application Instructions About Us: Family by Choice Dailey Precast, LLC, a subsidiary of Peckham Industries, Inc., specializes in the design and manufacturing of quality precast/prestressed concrete products. Our projects include parking structures, building exteriors, bridges, sports stadiums and retaining walls throughout Metro New York/New Jersey, Upstate New York, and New England. Dailey Precast utilizes the very latest technologies. Dailey Precast Capabilities and Projects Video Dailey Precast, LLC has many offerings - come work with a dynamic company with tremendous opportunities for personal and financial growth! We are looking for someone who is excited to learn about the Precast industry through training, feedback, and hands-on experience: Working at Dailey Precast Video Position Description Job Summary: The Precast Leadership Development Intern will rotate through multiple departments across a vertically integrated precast organization, gaining hands-on experience in the full lifecycle of a precast project-from pursuit and design to production, delivery, and erection coordination. Throughout this rotational program, interns will gain an end-to-end understanding of the precast concrete industry and receive exposure to engineering, operations, quality, production, logistics, and field coordination. In addition to broad departmental exposure, the Precast Leadership Development Intern will benefit from direct mentorship from experienced leaders and gain clear insight into potential long-term career paths in precast or construction. This internship is ideal for students exploring opportunities in engineering, operations, project management, commercial construction, manufacturing leadership, or business management and offers the opportunity to be considered for future internships or full-time employment. It is especially suited for those seeking a comprehensive understanding of how a precast concrete company operates before beginning their careers in the industry. Essential Functions: Rotations are flexible based on intern interest and business needs: • Sales & Estimating o Takeoff fundamentals o Introduction to bidding strategy and customer relationships • Design & Engineering o Design-assist process and coordination with general contractors, other trades, architects, and engineers of record o 3D modeling of precast components and structures o ERP system overview • Production Operations o Forming and mold preparation o Rebar cage fabrication o Concrete placement and finishing o Stripping and finishing operations o Finished product detailing • Batch Plant Operations o Mix design fundamentals o Material handling and plant automation • Quality Control o Dimensional inspection and documentation o Finish standards and defect identification o Testing and audit participation • Plant Leadership & Operations Management o Daily and long-term production planning o Labor management and safety leadership • Transportation & Logistics o Load planning and delivery scheduling • Project Management o Schedule tracking, submittals, RFIs, and customer coordination • Field Operations & Erection Coordination o Site logistics, crane coordination, and erection sequencing Position Requirements Requirements, Education and Experience: Currently enrolled in or recently graduated from an accredited college or university with a major in Concrete Industry Management (CIM), Construction Management, Civil, Industrial, or Mechanical Engineering, Architectural Technology, or other related field. Successful submission of our online application by Monday, May 11, 2026, and: A cover letter or paragraph stating your major and what intrigues you about it. A resume including your LinkedIn profile, if you have one. One written recommendation (e-mail ok) from a current or previous employer, teacher, or professor Excellent analytical and problem-solving skills. Attention to detail and a commitment to quality. Strong communication skills, both written and verbal, and the ability to work cross-functionally. Demonstrated strong work ethic and a genuine interest in understanding operational processes Proficiency in working with data, spreadsheets, and technical documentation Ability to adhere to safety protocols across the plant, office, and field environments A valid driver's license and reliable transportation Legal right to work in the U.S. Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Travel: Position may require up to 15% travel by personal vehicle to job sites and offices throughout the state of Vermont, New York, New Jersey, and Massachusetts based on the needs of the business. Work Environment/Physical Demands: This job operates in an office and professional environment, as well as a manufacturing plant and construction environment. This role routinely uses office equipment such as computers, phones, photocopiers. This position also works on or near moving mechanical parts and loud equipment. Requires the ability to sit or stand for long periods of time as well as lifting, pulling, bending, kneeling, squatting, climbing, walking, reaching, driving, and repetitive motion. Values: At Peckham, you will experience our values wherever you work: corporate offices, plants, quarries, or paving operations. We share a common set of values - safety, integrity, dedication, and efficiency which are embedded in how we show up every day. Ours is a culture where we protect family and friends, our word is our bond, we are committed to serve and results matter. Our values are the foundation of our growth, and we believe will pave the way for future success. Equal Opportunity Employer Peckham Industries, Inc. (PII) is an Equal Employment Opportunity (EEO) and Affirmative Action employer. It is our policy to provide EEO to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, pregnancy or pregnancy-related condition, or any other characteristic protected by federal, state or local law. Under the Americans with Disabilities Act or similar law, if you have a disability and you wish to discuss potential accommodations related to applying for employment at Peckham, please contact ***********************. Compensation details: 22-22 Hourly Wage PI257b0029b721-26***********5

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

**The Program:** Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor's and master's degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us! **The Company:** Oracle is the world's leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com. **What You'll Do:** Data Scientist Intern responsibilities may include, but are not limited to: Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization. Develop models to build solutions to tackle real-world business problems Interact with product and service teams to identify questions and issues for data analysis and experiments Communicate your analysis findings to product, service, and business managers We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle. **What You'll Bring (Objective Minimum Qualifications):** To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. **Please ensure that your application clearly indicates that you meet these OMQs** , either on your resume and/or by uploading additional documents such as a transcript. Will be enrolled in a Bachelor's, Master's or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the 2025-2026 school year. Have completed **at least your junior year** toward your undergraduate degree, or higher, by summer 2026. Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in **at least one** of the following programming languages: Python, Java, R, SQL, PL/SQL. Have experience through coursework, projects, internships, and/or research with **at least one** of the following libraries: Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark Have completed coursework, projects, internships, and/or research in **two or more** of the following: Algorithms Artificial Intelligence Big Data Query Data Mining Data Modeling Machine Learning Statistical Inference/Analysis Attend a university in the US. Authorized to work in the US in 2026. No visa sponsorship available Must be enrolled in a university prior to and following internship completion What We'll Give You: **High-impact projects:** You'll get the opportunity to directly influence our cutting-edge products. Got a question or idea? Voice it. Your curiosity could help advance our next-generation cloud applications and help us find new ways to apply emerging technologies like AI, machine learning, and blockchain. **Mentors that care:** Work with industry-leading professionals and award-winning engineers. On top of your project supervisor, you'll be assigned a peer mentor-a recent hire who can help you navigate the internship experience. You'll also be paired with intern buddies to ensure 360 degree support and engagement. **World-class training:** Grow from once-in-a-lifetime learning opportunities and exposure to the newest technologies. You'll benefit from comprehensive on-boarding and job-specific training that will help you get the most out of your time with us. Leadership training will help you build your eye for business. **A fun-filled summer:** Enjoy a close-knit, community experience alongside your class of fellow summer interns. Our interns work across the length and breadth of our business but come together for fun weekly events like tech talks, networking, volunteering, and fun social happenings. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from $19.62 to $53.00 per hour; from: $40,800 to $110,240 per annum. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC0 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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@fb.com.

The Data Conversion Analyst is responsible for performing quantitative and qualitative analysis that supports the successful conversion of both internal and external systems into Casella's Lead to Cash environment. The incumbent gathers and analyzes data from source systems to ensure that converted data meets Casella's standards or identifies issues requiring additional, qualified assistance. This role plays a key part in maintaining data integrity and supporting business continuity during system transitions. Hiring Range: From $80,000-$100,000 Key Responsibilities Demonstrates deep knowledge of the Lead to Cash system and its associated data governance principles, ensuring data integrity, consistency, and compliance throughout the conversion process. Extracts and prepares relevant data from source systems for accurate analysis and informed decision-making. Reviews source data to detect and resolve inconsistencies prior to conversion, ensuring accuracy and alignment with data standards. Leads the development and stewardship of Casella's master data, including products, materials, and related items. Supports fee implementation from acquisition data and analyzes the impact of proposed fee structures. Builds strong relationships with system users to validate data understanding and collaboratively review source data for accuracy and completeness. Collaborates closely with IT to validate data conversion logic and ensure all assumptions align with system requirements and business objectives. Applies sound judgment to identify when manual intervention is required to ensure accurate and complete data conversion. Delivers high-quality work within established timelines while proactively seeking clarification when needed to ensure accuracy and alignment with project goals. Participates in training and other learning opportunities to expand knowledge of the company, products, sales and services and performs any other duties needed to help drive our vision, fulfill our mission, and/or abide by our core values. Education, Experience & Qualifications The successful candidate will possess a strong working knowledge of the solid waste industry from an operations, accounting, or financial background. The incumbent must demonstrate effective project leadership to balance data gathering and analysis while working with key staff to complete critical business projects. A proven ability to work as part of a team in a collaborative environment is essential. Excellent verbal, written, analytical, and formal presentation skills, the ability to multitask and meet consistent deadlines, and strong time management and organizational abilities are required. Exceptional computer and financial modeling experience, along with strong leadership and interpersonal skills, are expected. An MBA or bachelor's degree is desired but not required for this position. Attributes An analytically minded and self-directed individual that possesses the critical combination of meticulous attention to detail with the ability to see the larger picture. Outstanding problem-solving skills, statistical knowledge, and the ability to work comfortably under pressure while delivering on tight deadlines are essential. Benefits Medical, Dental, Vision, Life & Disability Insurance, Maternity & Parental Leave, Flexible Spending Accounts, Discounted Stock Program, 401K, Employee Awards, Employee Assistance Plan, Wellness Incentive, Tuition Assistance, Career Pathways, and More.

. Come join one of America's fastest growing insurance companies with a stable history of over 175 years. At National Life Group (“NLG”), we offer a flexible work environment with opportunity for growth. As a mission-driven business, our promises are as important as the products we sell. We encourage our associates to live our values: Do Good. Be Good. Make Good. Our mission extends beyond the insurance and annuities policies that we sell. Our cause is also to make the world a better place through grants from our charitable foundation, paid time for our employees to volunteer, environmentally sustainable and healthy work sites, and events that promote the work of nonprofits in our own backyard. We invite you to explore what we have to offer and to join our cause. POSITION SUMMARY: At National Life Group we are transforming how we engage with our customers through a digital-first model. Our mission is to activate, engage, inspire, and connect with our audiences to increase awareness, deepen relationships, and establish meaningful connections anchored to our mission and purpose. Leveraging digital platforms, analytics, and emerging AI technologies, our goal is to activate, engage, inspire, and connect with our audiences to increase awareness, deepen relationships, and deliver relevant, timely, and valuable experiences that meet customers and agents where they are. With the launch of our new website, we will be creating and scheduling fresh content, while also applying advanced analytics to measure performance and inform ongoing improvements. The Digital Marketing & AI Research Intern will work as a contributing member of the Digital Marketing Team and partner with key stakeholders in the Marketing & Brand business unit to explore how AI and analytics can enhance marketing strategy, audience insights, campaign performance, and optimized content creation. This role will focus on evaluating AI-driven marketing tools, exploring how AI can optimize discoverability and support best-in-class SEO practices. Additionally, the role will research audience attributes and behavior through analytics. Insights from this AI research will be used guide marketing decisions, improve targeting, optimize campaigns, create optimized content and identify new channels or methods. The Digital Marketing & AI Research Intern will emerge from this experience with strengthened professional skills, exposure to enterprise-level digital marketing practices, and tangible contributions to meaningful initiatives that advance National Life Group's digital transformation. RESPONSIBILITIES: Focus Areas for the Internship: AI for Marketing Tools & Automation Research AI-powered platforms for content creation, chatbots, recommendation engines, or ad targeting. Evaluate tool capabilities, pricing, and applicability for different marketing objectives. Audience Discovery & Research Use analytics tools (GA4, social analytics, SEMrush, etc.) to understand audience behavior, segmentation, and preferences. Explore AI-based customer insights (e.g., predictive analytics, clustering, sentiment analysis). Discoverability & SEO Optimization Investigate AI applications for SEO, keyword optimization, content recommendation, and personalization. Examine emerging AI trends in search and social discoverability. Data Analysis & Insights Present findings on AI opportunities or audience behavior in clear reports or dashboards. Optimal Outcomes: By the end of the internship, the ideal intern would: Deliver a research report summarizing AI tools for marketing, with pros/cons and recommendations. Identify key opportunities to leverage AI for audience targeting, content personalization, and discoverability. Build dashboards or presentations highlighting insights from GA4 and other analytics sources. Document best practices or playbooks for marketing teams to integrate AI in campaigns. Provide actionable strategic recommendations of next steps to leverage AI for maximum impact on marketing outcomes. QUALIFICATIONS: Pursuing a degree in Marketing, Marketing Communications, Digital Marketing, Business, Data Analytics, or a related field. Major, specialization or minor in Digital Marketing highly desirable. Strong writing and communication skills, capable of translating research and analytics into actionable insights. Deep interest in emerging AI applications in marketing and emerging technologies. Coursework in Marketing Research or Marketing Research methods and/or experience writing and presenting research reports is required. Familiarity with digital marketing concepts, including SEO, social media, and campaign measurement. Demonstrated ability to balance creativity with analytical thinking. Experience (academic or practical) with Google Analytics, GA4 preferred; exposure to campaign tracking or UTMs a plus. Comfortable working collaboratively and cross-functionally in a professional environment HOW YOU SHOW UP : Highly reliable, proactive, and engaged in learning and contributing. Communicates effectively across technical and non-technical teams. Strong analytical and critical thinking skills, i.e. a problem solver's mindset Brings creativity, curiosity, and problem-solving to research and projects. Eager to learn, ask insightful questions, and connect research findings to business impact. Able to balance independent research with collaborative work in a professional setting. PROGRAM HIGHLIGHTS: 10-week paid internship (June 2 - August 7) with formal orientation and onboarding Networking opportunities with peers and leaders throughout the summer Cross-Departmental group project focused on an enterprise-wide solution presented at company-wide event Presentation skills coaching sessions Learning opportunities throughout program Access to mentors (former program participants) The base compensation range represents the low and high end of the range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to qualifications, skills, competencies, location, and experience. The range listed is just one component of our total compensation package for employees. Other rewards may include an annual bonus, quarterly bonuses, commissions, and other long-term incentive compensation, depending on the position. National Life offers a competitive total rewards package which includes: a 401(k) retirement plan match; medical, dental, and vision insurance; a company funded wellness account for director and below employees; 10 paid holidays; a generous paid time off plan (22 days of combined time-off for non-exempt employees and exempt employees have discretion in managing their time, including scheduling time off in the normal course of business, but in no event will exempt employees receive less sick time than required by state or local law); 6 weeks of paid parental leave; and 6 weeks of paid family leave after a year of full-time employment. National Life is accepting applications for this role on an ongoing basis and the role remains open until filled. National Life Group is a trade name of National Life Insurance Company, Montpelier, VT - founded in 1848, Life Insurance Company of the Southwest, Addison, TX - chartered in 1955, and their affiliates. Each company of National Life Group is solely responsible for its own financial condition and contractual obligations. Life Insurance Company of the Southwest is not an authorized insurer in New York and does not conduct insurance business in New York. Equity Services, Inc., Member FINRA/SIPC, is a Broker/Dealer and Registered Investment Adviser affiliate of National Life Insurance Company. All other entities are independent of the companies of National Life Group. National Life Group 1 National Life Dr Montpelier, VT 05604 Social Media Policy Site Disclosure and Privacy Policy #LI-MG