Data science internship jobs in Boulder, CO - 247 jobs

Job Title: Data Governance Analyst Contract Type: Long-term contract Pay: $40-$45/hr (80k-90K annual salary) Our client is seeking a Data Governance Contractor to join our dynamic team. This role will primarily support data cataloging initiatives and broader data governance responsibilities. The ideal candidate will have strong organizational skills, technical aptitude, and the ability to thrive in a fast-paced environment with shifting priorities. Key Responsibilities Data Catalog Management: Support processes within the data cataloging platform (Alation), including metadata validation, connector activities, token upkeep, and onboarding. Maintain documentation and ensure accuracy of cataloged data. Data Governance Operations: Assist with governance processes for data access approvals and compliance. Conduct audits and ensure adherence to governance standards. Power Platform Support: Develop and enhance workflows using Microsoft Power Automate. Implement changes to approval flows and troubleshoot issues. Analytics & Reporting: Utilize Tableau dashboards for tracking requests and generating metrics. Provide insights on trends and usage patterns. Cross-Team Collaboration Engage with end users and external teams to build strong relationships. Communicate effectively with leadership and VP-level stakeholders. Qualifications 1-2+ years of experience in a corporate environment, preferably in data governance or related fields. Familiarity with data cataloging tools (Alation or similar). Experience with Microsoft Power Automate (or willingness to learn quickly). Basic knowledge of Tableau; SQL experience is a plus but not required. Strong attention to detail and ability to manage multiple priorities. Excellent communication and interpersonal skills. Nice-to-Have Skills Exposure to metadata management and governance frameworks. Experience with other data cataloging platforms. Ability to adapt quickly in a dynamic environment.

The Senior Data Scientist will serve as a technical lead in the development of advanced analytical solutions. This role uniquely combines Generative AI innovation with Six Sigma operational rigor to drive measurable improvements across Spectrum's network and customer ecosystems. You will not only build models but also optimize the processes they inhabit to ensure maximum ROI and statistical stability. Key Responsibilities Generative AI Strategy: Lead the research and implementation of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to automate complex business workflows and enhance internal knowledge management systems. Operational Excellence (Black Belt): Apply DMAIC (Define, Measure, Analyze, Improve, Control) methodology to the data science lifecycle. Identify root causes of operational inefficiencies and deploy AI solutions to mitigate them. Advanced Modeling: Build, validate, and deploy high-impact predictive models (Churn, CLV, Propensity) using Python, PyTorch, and Scikit-learn. Process Optimization: Utilize Black Belt principles to reduce "waste" in data pipelines, improving model training speed and inference efficiency within Databricks/AWS. Stakeholder Storytelling: Act as a bridge between technical AI labs and executive leadership, translating complex neural network outputs into Six Sigma-validated business cases. Required Technical Skills GenAI Stack: Experience with LangChain, LlamaIndex, Vector Databases (Pinecone/Milvus), and fine-tuning open-source models. Data Engineering: Expert-level SQL and PySpark for grooming large-scale datasets. Statistical Control: Deep understanding of Design of Experiments (DoE), hypothesis testing, and Statistical Process Control (SPC) to monitor model drift and performance. MLOps: Proficiency in versioning and deploying models in cloud environments (Azure/AWS). Education & Certifications Education: Master's or PhD in a quantitative field (Statistics, CS, Engineering). Certification: Lean Six Sigma Black Belt or Six Sigma Black Belt( Experience: 5-7+ years of experience in a data-driven environment with a proven track record of leading AI initiatives

Posting TitleGraduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis . . TypeIntern (Fixed Term) . Hours Per Week40 . Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The Geospatial Data Science (GDS) team within the Strategic Energy Analysis Center at the National Laboratory of the Rockies (NLR) is seeking a 6-12-month intern to support modeling and analysis. The GDS group conducts research at the intersection of energy deployment, big data science, and geospatial modeling and visualization. Our team of researchers develops and applies geospatial algorithms and methods to evaluate the deployment potential for energy technologies, including geothermal, hydropower, transmission, bioenergy, wind, and solar. Geospatial modeling at NLR enables detailed techno-economic assessment, capacity expansion, and power systems modeling of energy resources under a variety of regulatory, sociopolitical, and environmental factors from local to continental scales. The successful intern candidate will support a large and diverse modeling portfolio with activities involving geospatial analyses, literature reviews, cartography, scientific programming, and tasks focused on data preparation, processing, and validation. This position will assist geospatial scientists in developing novel analytical solutions to complex challenges in energy siting, deployment, and adoption. Candidates should be interested in working in an interdisciplinary field, together with geospatial data scientists, software developers, and policy analysts, which will require excellent interpersonal and communication skills. Duties will include: Manipulating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis Preparing and processing geospatial data using open-source desktop software and programmatic approaches Conducting background research on data sets, current modeling approaches, and existing tools Developing literature reviews under the guidance of research scientists Programming and scripting in Python to conduct analysis and visualize data Working in distributed computing environments including internal servers, NLR's high-performance computing (HPC) system and the Cloud . Basic QualificationsMinimum of a 3.0 cumulative grade point average. Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution. Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution. Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution. Please Note: • Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process. • If selected for position, a letter of recommendation will be required as part of the hiring process. • Must meet educational requirements prior to employment start date. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Must have completed a bachelor's degree and either: be enrolled in or recently graduated from a master's degree or currently enrolled in a PhD program in fields such as: Geography/GIS, Environmental Science, Computer Science, Engineering, or a related technical field To be considered, all candidates must include in their resume and an online code repository such as GitHub with several publicly visible coding projects. Alternatively, please explain in your cover letter why your application does not include a code repository and/or several examples of previous projects Demonstrated experience working independently with programming skills in python and libraries such as geopandas, numpy, scipy, shapely, pyproj Proficiency and experience with geospatial analysis and modeling techniques using open-source tools, such as QGIS; (please note that ESRI tools are not used in this research group) Experience working with geographic transformations and projections Ability to work within a dynamically evolving digital environment as a member of collaborative and often-dispersed team Critical thinking skills; analytic and research skills; written and verbal communication skills Preferred Qualifications Experience with linux/unix Experience with collaborative code development Experience with Machine Learning Experience with the Geospatial data abstraction library (GADL) Experience with big geospatial data processing . Job Application Submission Window The anticipated closing window for application submission is up to 30 days and may be extended as needed. Annual Salary Range (based on full-time 40 hours per week) Job Profile: / Annual Salary Range: $44,500 - $71,200 NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions. Benefits SummaryBenefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits. * Based on eligibility rules Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.Drug Free Workplace NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. Submission Guidelines Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. . Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Reasonable Accommodations E-Verify ******************** For information about right to work, click here for English or here for Spanish. E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.

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

Job Title: Computer Science Data Analyst Intern Job Summary:Apply your interest in computer programming, data analysis, and geographic information systems (GIS) to projects on tribal lands this summer. The Computer Science Data Analyst Intern is part of Sealaska's Managed Business Solutions (MBS) team working on the Bureau of Indian Affairs (BIA) Division of Water and Power. As you work alongside GIS and programming professionals, you will be introduced to a career in GIS analysis and learn key components of a GIS program. The primary initiative you will be supporting during this internship is development of a computer-based water ticketing program to replace handwritten tickets at 17 Irrigation Projects in the Western United States. Water tickets will go through a lifecycle in ArcGIS Survey123 from customer request to scheduling/canal capacity analysis and finally logging water deliveries volume to farmers. Depending on your interests and skills, the team can supply additional projects during the internship. This internship can be accomplished remotely or at the BIA Office of Trust Services in Lakewood, CO. Throughout the summer, you will visit at least one Native American reservation supported by the team's efforts. During these site visits, you can meet with local staff to learn about their workflows and mold the development of the digital water ticket system to best support their needs. Duties/Responsibilities:• Familiarize yourself with Arcade language used in water ticket logic• Meet with field staff, learn their day-to-day activities and apply to application being developed• Configure and test next iteration of the water ticket scheduled for deployment in 2027• Work with GIS Specialists to learn geospatial analysis skills to perform other duties in support of the Division Required Skills/Abilities: • Must be interested in learning about mapping or geographical information systems (GIS)• Understanding of Excel spreadsheets• Able to both collaborate with a team and work independently• Ability to meet deadlines• Strong written and verbal communication skills• Must be a Sealaska shareholder, descendant of a shareholder, or spouse of a shareholder• Legally authorized to work in the United States Education and Experience: • Must be currently enrolled in post-secondary school/Codefy program or a recent graduate (1-2 years)• Must be 18 years old at time of hire Preferred:• Possess skills related to basic computer programming (scripting), GIS, databases, HTML, hydrology, hydraulics, engineering, and/or geologic/geotechnical systems.• At least a 2.5 GPA• Strong critical thinking and research skills• Self-starter with ability to adapt to a fast-paced work environment Application Process:• Complete online application at Sealaska.com/careers by January 11, 2026 to be considered for first round of application review.• Submit a resume and cover letter describing why you are interested in an internship with MBS and the BIA, and what you hope to learn/accomplish as part of the internship.• You may be asked to provide proof of your status as a Sealaska shareholder, shareholder descendant, or shareholder spouse.• You must successfully complete a background check prior to onboarding at Sealaska. Working Conditions:The physical and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Demands: • Must be able to perform computer-based tasks and processing for up to 8 hours, including sitting or standing, mousing, interacting with information on a computer monitor.• Must be able to lift and carry or otherwise move 25 pounds regularly.• Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. • Bending or standing as necessary. Work Environment: • While performing the duties of this job, the employee will primarily work in an office setting. The noise level in the work environment is usually minimal. This description is not intended to be, nor should it be construed as an all-inclusive list of responsibilities, skills or working conditions associated with the position. It is intended to accurately reflect the activities and requirements of the position, but duties may be added, deleted, or modified, as necessary. This description does not constitute a written or implied contract of employment.

**Posting Title** Graduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis . . Type** Intern (Fixed Term) . **Hours Per Week** 40 . **Working at NLR** NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. **Job Description** The Geospatial Data Science (GDS) team within the Strategic Energy Analysis Center at the National Laboratory of the Rockies (NLR) is seeking a 6-12-month intern to support modeling and analysis. The GDS group conducts research at the intersection of energy deployment, big data science, and geospatial modeling and visualization. Our team of researchers develops and applies geospatial algorithms and methods to evaluate the deployment potential for energy technologies, including geothermal, hydropower, transmission, bioenergy, wind, and solar. Geospatial modeling at NLR enables detailed techno-economic assessment, capacity expansion, and power systems modeling of energy resources under a variety of regulatory, sociopolitical, and environmental factors from local to continental scales. The successful intern candidate will support a large and diverse modeling portfolio with activities involving geospatial analyses, literature reviews, cartography, scientific programming, and tasks focused on data preparation, processing, and validation. This position will assist geospatial scientists in developing novel analytical solutions to complex challenges in energy siting, deployment, and adoption. Candidates should be interested in working in an interdisciplinary field, together with geospatial data scientists, software developers, and policy analysts, which will require excellent interpersonal and communication skills. Duties will include: + Manipulating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis + Preparing and processing geospatial data using open-source desktop software and programmatic approaches + Conducting background research on data sets, current modeling approaches, and existing tools + Developing literature reviews under the guidance of research scientists + Programming and scripting in Python to conduct analysis and visualize data + Working in distributed computing environments including internal servers, NLR's high-performance computing (HPC) system and the Cloud . **Basic Qualifications** Minimum of a 3.0 cumulative grade point average. Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution. Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution. Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution. Please Note: - Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process. - If selected for position, a letter of recommendation will be required as part of the hiring process. - Must meet educational requirements prior to employment start date. *** Must meet educational requirements prior to employment start date.** **Additional Required Qualifications** + Must have completed a bachelor's degree and either: be enrolled in or recently graduated from a master's degree or currently enrolled in a PhD program in fields such as: Geography/GIS, Environmental Science, Computer Science, Engineering, or a related technical field + To be considered, all candidates must include in their resume and an online code repository such as GitHub with several publicly visible coding projects. Alternatively, please explain in your cover letter why your application does not include a code repository and/or several examples of previous projects + Demonstrated experience working independently with programming skills in python and libraries such as geopandas, numpy, scipy, shapely, pyproj + Proficiency and experience with geospatial analysis and modeling techniques using open-source tools, such as QGIS; (please note that ESRI tools are not used in this research group) + Experience working with geographic transformations and projections + Ability to work within a dynamically evolving digital environment as a member of collaborative and often-dispersed team + Critical thinking skills; analytic and research skills; written and verbal communication skills **Preferred Qualifications** + Experience with linux/unix + Experience with collaborative code development + Experience with Machine Learning + Experience with the Geospatial data abstraction library (GADL) + Experience with big geospatial data processing . **Job Application Submission Window** The anticipated closing window for application submission is up to 30 days and may be extended as needed. **Annual Salary Range (based on full-time 40 hours per week)** Job Profile: / Annual Salary Range: $44,500 - $71,200 NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions. **Benefits Summary** Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits. ***** Based on eligibility rules **Badging Requirement** NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement. **Drug Free Workplace** NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. **Submission Guidelines** Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. . **Equal Opportunity Employer** All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. **Reasonable Accommodations (******************************************************* **E** **-Verify** ************************ **For information about right to work, click here (************************************************************************************************** for English or** **here (************************************************ for Spanish.** E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce. The National Laboratory of the Rockies (NLR) is a leader in the U.S. Department of Energy's effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NLR is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States. NLR is subject to Department of Energy (DOE) access restrictions. All candidates must be authorized to access the facility per DOE rules and guidance within a reasonable time frame for the specified position in order to be considered for an interview and for hiring. DOE rules for site access during the interview process depend on whether the candidate is interviewed on-site, off-site, or via telephone or videoconference. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Additionally, DOE contractor employees are prohibited from participating in certain Foreign Government Talent Recruitment Programs (FGTRPs). If a candidate is currently participating in an FGTRP, they will be required to disclose their participation after receiving an offer of employment and may be required to disengage from participation in the FGTRP prior to commencing employment. Any offer of employment is conditional on the ability to obtain work authorization and to be granted access to NLR by the Department of Energy (DOE). **Drug Free Workplace** NLR is committed to maintaining a drug-free workplace in accordance with federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. Please review the information on our Hiring Process (************************************************* website before you create an account and apply for a job. We also hope you will learn more about NLR (**************************** , visit our Careers site (****************************** , and continue to search for job opportunities (**************************************** at the lab.

Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity This role sits at the intersection of our client value stream and enterprise data team. As an enterprise data analyst, you will work across business and technology teams to deliver valuable data features, support enterprise data change and transformation initiatives, and extract measurable value from our client data. * Collaborate with stakeholders across the organization to understand their challenges, objectives, and needs. Partner with the client data product owner to translate business requirements to technical specifications and agile features, such as data models and pipeline designs. * Conduct comprehensive data analysis to support business decisions, enhance data quality, and resolve operational issues using SQL, Python, and ETL tools. Present and communicate clear and timely findings to business and technical stakeholders. * Understand and apply best practices in enterprise data management to features in the client data warehouse and our downstream products. * Design, implement, and monitor automated data processes to reduce manual intervention and ensure smooth business operations. * Document data flows, establish clear data definitions, and participate in other data governance initiatives. * Participate in agile project planning activities, including risk identification, user story definition, and feature prioritization. * Complete and support Quality Assurance (QA) testing and engage in agile ceremonies to ensure project objectives are met within sprint cycles. * Create and maintain dashboards and reports to monitor key performance indicators (KPIs) and provide actionable insights. * Work collaboratively with technical teams to develop data pipelines and analytics solutions within agile frameworks. * Continuously learn and apply new technologies, tools, and best practices in business analysis and data management. * Carry out other duties as assigned. What to expect when you join our firm * Hybrid working and reasonable accommodations * Generous Holiday policies * Paid volunteer time to step away from your desk and into the community * Support to grow through professional development courses, tuition/qualification reimbursement and more * Maternal/paternal leave benefits and family services * Complimentary subscription to Headspace - the mindfulness app * Corporate membership to ClassPass and other health and well-being benefits * Unique employee events and programs including a 14er challenge * Complimentary beverages, snacks and all employee Happy Hours Must have skills: * Strong experience in data analysis or data warehousing, preferably in a business intelligence or analytics environment. * Familiarity with Agile methodology and experience in agile ceremonies. * Demonstrated experience writing SQL scripts for analysis of data warehouses or other data implementations in any of the following database platforms: Oracle, Microsoft SQL Server, Databricks Delta Lake, Snowflake. * Some experience with data visualization or reporting tool such as Tableau, Power BI, or similar BI Tool, for the purposes of monitoring data quality or performing data reconciliation. * Strong problem-solving and analytical skills. * Initiative and the ability to progress projects with minimal supervision. * Effective communication and time management skills. * A team player with a client-first mindset Nice to have skills * PowerBI dashboard and report creation experience is preferred. * Basic coding knowledge in Python is preferred. * Prior experience in the financial services industry is advantageous but not required. Supervisory responsibilities * No Potential for growth * Mentoring * Leadership development programs * Regular training * Career development services * Continuing education courses Compensation information The base salary range for this position is $100,000-$110,000. This range is estimated for this role. Actual pay may be different. This position will be open through February 28, 2026. Colorado law requires an estimated closing date for job postings. Please don't be discouraged from applying if you see this date has passed. At Janus Henderson Investors we're committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don't worry if you don't think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can't accommodate every flexible working request, we're happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at ****************************. #LI-LN2 #LI-Hybrid Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here. Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee's job functions (as determined by Janus Henderson at its sole discretion). You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants' past political contributions or activity may impact applicants' eligibility for this position. You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. Nearest Major Market: Denver

As part of the Wilshire family, you can rest assured that every day you are contributing to an organization that is helping investors improve their financial outcomes. For more than 50 years, Wilshire has been dedicated to providing customized portfolio solutions grounded in research and powered by next generation technologies. Wilshire advises on over $1 trillion in assets for some of the world's largest and most sophisticated institutional investors and is headquartered in the United States with offices worldwide. Job Description Wilshire seeks a Data Analyst to be responsible for ensuring the accuracy, integrity, and efficiency of financial data across the Finance systems. This role involves managing data flows, performing reconciliations, supporting system enhancements, and providing actionable insights. The Data Analyst will also be the administrator for critical finance systems including NetSuite, a proprietary data mart, a vendor and contract management system and Concur expense and travel. Key Responsibilities * Data Management & Integrity * Maintain and validate financial data in finance systems (e.g., Power BI/Datamart, Netsuite). * Perform regular data quality checks and reconciliations between source systems and reporting tools. * Ensure compliance with internal controls and audit requirements. * System Maintenance & Support * Monitor data integrations between finance systems and upstream/downstream applications. * Troubleshoot data issues and coordinate with IT/vendors/Finance for resolution. * Support system upgrades, patches, and configuration changes. * Act as the administrator for finance systems including user access, system configurations, optimizing use of the systems, and continual enhancement of automation / AI tools. * Reporting & Analysis * Develop and maintain dashboards and reports for Finance and other stakeholders firmwide. * Analyze trends, variances, and anomalies in financial data. * Provide insights to improve forecasting, budgeting, and revenue analysis. * Process Improvement * Identify opportunities to automate data processes and improve efficiency. * Document workflows, data dictionaries, and system procedures. * Stakeholder Collaboration * Work closely with Finance and IT teams to ensure accurate data flow. * Assist in user training and support for finance system functionalities. Qualifications * Bachelor's degree in Finance, Accounting, Data Analytics, or related field. * Strong proficiency in SQL, Excel, and BI tools (Power BI, Tableau). * Experience with finance systems (ERP, EPM tools like Netsuite, Concur). * Understanding of financial statements and accounting principles. * Excellent analytical and problem-solving skills. * Ability to manage multiple priorities and meet deadlines. Additional Information * This position will work on a hybrid model out of our Santa Monica, New York, Denver or London offices * We offer a comprehensive benefits package including a collaborative work environment, generous PTO, 401(k) match, affordable & comprehensive medical/dental/vision insurance, CFA and other professional membership reimbursement, and more. The pay range for this position is $85,000 - $140,000. However, base pay will be determined on an individual basis considering various factors, including location, qualifications, skills, and experience. The total compensation package includes eligibility for an annual discretionary bonus and a full range of health and financial benefit offerings, which will be provided in conjunction with an offer of employment. Visit **************** for additional company information. Wilshire is an SEC registered investment adviser and required to track certain political contributions under Rule 206(4)-5. As such, you may be required to disclose your prior political contributions. We are an equal opportunity employer, which means we afford equal employment opportunity to all individuals regardless of race/ethnicity, creed, color, religion, sex (including gender and gender identity), national origin, ancestry, age, marital status, veteran status, citizenship status, disability, medical condition (as defined by California Government Code section 12926), or sexual orientation. Our employees, as well as applicants and others with whom we do business, will not be subjected to sexual, racial, religious, ethnic, or any other form of unlawful harassment. In addition, Wilshire adheres to the equal employment opportunity requirements of all states and localities in which it does business. We are completely committed to these principles not only because of the various laws which address these subjects, but because it is the right thing to do for our employees and clients to thrive. If you have a disability, and require reasonable accommodations in the application process, contact Human Resources at ApplicantAccessibility@wilshire.com or ************.

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Job Description Employ some combination (2 or more) of the following skill areas: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data Effectively communicate complex technical information to non-technical audiences Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: US Citizens Only Active TS/SCI Clearance and Polygraph required Information Assurance Certification may be required Minimum of ten (10) years of relevant experience and a Bachelor's degree or twelve (12) years of relevant experience and an Associate's degree required. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university Relevant experience must be two of more of the following: Designing/implementing machine learning Data science Advanced analytical algorithms Programming (skill in at least one high-level language (e.g., Python)) Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data mining Data modeling and assessment Artificial intelligence Software engineering Salary Range: $61,244.98 - $134,738.95 _____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees. Powered by JazzHR h2mSi4iG2v

Talent Navigation Experts is a boutique staffing firm in Denver, delivering all of your recruiting needs. We're more than just headhunters; we provide best-in-class service for both Denver companies and the top talent they want to recruit. Job searches can be difficult, both for companies and candidates. At Talent Navigation Experts, we guide Denver companies through the recruiting process with a customized staffing model built just for them. Quite simply, we bring great companies and great candidates together. Job Description About the Role: Our enterprise-level client, based in Denver, CO is a leading Oil and Gas producer who is committed to reducing its carbon footprint and working toward the use of more sustainable fuel resources. They are seeking a Data Scientist to join the team full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great pay, bonus, and benefits. Qualifications Required Skills: 5+ years in Data Science. Strong Python coding/scripting Skills. AWS CI/CD exposure. Ability to build models that can drive value of data. Deploy the data into AWS environment. Additional Information About the Company: This enterprise-level arm of one of the largest Oil and Gas companies in the world is working hard, through new technology, to reduce its carbon footprint worldwide, focusing on more sustainable energy resources like Solar, Wind, and Hydrogen power. This is an incredible opportunity to join a group focused on bleeding-edge technology. They offer a great salary, incredible bonus structure, and 401k match. Compensation Range (pending experience): $130-168k plus a strong bonus and top tier 401k match Talent Navigation Experts is an Equal Opportunity/Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity employer. All your information will be kept confidential according to EEO guidelines.

Job Description At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations. Employ some combination (2 or more) of the following skill areas:I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Required Qualifications TS/SCI with agency appropriate poly Bachelor's Degree with 10 years of relevant experience Associates degree with 12 years of relevant experience Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant Experience Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services Company Environment & Perks Employee Referral Bonus Eligibility up to $10,000 Mobility Among Wyetech-supported Contracts Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. Employees receive two complementary branded clothing orders annually. Pay Range: $65.83 - $126.96 per hour* Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts. Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or ********************. We are happy to provide reasonable accommodations to ensure equal access to all candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analytics. The Level 3 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than five areas is strongly preferred. Support to IDC. Building and maintaining custom data analytics to automate and scale signals analysis. Qualifications: Bachelor's degree and 10 years' relevant experience OR Associate's degree plus 12 years' experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in the physical/hard sciences, or other science disciplines with a substantial computational component may be considered if it includes a concentration of coursework in advanced mathematics and/or computer science. TS/SCI with polygraph is required. Job Posted by ApplicantPro

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

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

Job Profile Job Title: Intern, Business Analyst Reports To: Director, Solutions Architect Department: Business Process & Technology Primary Location: Boulder and Denver, CO Compensation: $20/hour Congruex is looking for an Intern, Business Analyst to join our team. Learn more about it at **************** . Who is Congruex Congruex designs and builds broadband and wireless communications infrastructure. The work we do enables everything in the modern world to operate, from healthcare and energy to transportation and social interactions. We deliver turn-key network solutions under a single platform by aligning our engineering and in-market construction operating units. Our vision is to be the best end-to-end provider of network services in the U.S. and our core values of GRIT connect everything we do. We are building tomorrow, together. Will you join us? Your New Job Job Summary: The Operations Support Systems (OSS) Business Analyst Intern helps bridge business needs and technical solutions. The BA Intern attends Daily Stand-Up calls for prioritized work, attends / facilitates meetings with business stakeholders, and contributes to creation of documentation and other collateral. This role includes significant cross functional collaboration / co-innovation with end-user groups as well as team members from Operations, Application Development, & Digital Transformation. Key Responsibilities: · Requirements Gathering: o Attends meetings o Documents business needs / user stories o Compiles requirements into simple requirements documents · Process Analysis and Documentation: o Analyzes current state business workflows o Identifies process inefficiencies / gaps o Assists with development and documentation of future / end-state workflows o Workflow design · User Acceptance Testing: o Assists OSS / tech team with authoring test cases o Performs User Acceptance Testing o Reports issues and drives resolution to completion · Application Administration o Assists System Administrators with support tickets o Completes minor application configuration changes o Learns basics of force.com platform Qualifications: · Current University Student - Junior or Senior · Business or Technology related Major · Strong organizational and time management skills · Curiosity · Interest in technology, business process, and problem-solving · Good analytical skills & communication skills · Logical, methodical approach to problem solving Preferred Skills: · How to translate business problems into technical solutions · How to administer User Acceptance Testing · Process Documentation · Platform basics for Operation Support Systems (including Salesforce Platform, mobile applications · Agile Project Methodology · Cross functional / co-innovation work Why Work At Congruex Opportunities We offer opportunities at all levels across the nation - from students to industry veterans - in areas of engineering, construction, and professional services. Wellbeing We value the wellbeing of our people and offer competitive compensation, health benefits, wellness resources, 401(k) retirement planning, and employee recognition and leadership development programs. Options may vary by geographic location. Culture The pillars of Congruex culture are GRIT, safety, inclusion, and family. · GRIT: Our GRIT values are part of our company DNA and the touchstone for our multinational workforce. o Guts - having the guts to do the right thing o Reliability - being reliable to deliver what we promise o Innovation - innovating every day o Teamwork - embracing teamwork together as One Congruex · Safety: We are committed to 24/7 safety practices on our jobsites, within our offices, and all the places our team exists in between. · Inclusion: Congruex embraces our team's diversity and promotes an inclusive workplace for all. · Family: We are a family-oriented company committed to the long-term health and development of our people. The Fine Print: Some benefits have eligibility criteria. All requirements are subject to possible modification to reasonably accommodate individuals with disabilities. This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. This document does not create an employment contract, implied or otherwise, other than an “at-will” employment relationship.

Job Profile Job Title: Intern, Business Analyst Reports To: Director, Solutions Architect Department: Business Process & Technology Compensation: $20/hour Congruex is looking for an Intern, Business Analyst to join our team. Learn more about it at ***************** Who is Congruex Congruex designs and builds broadband and wireless communications infrastructure. The work we do enables everything in the modern world to operate, from healthcare and energy to transportation and social interactions. We deliver turn-key network solutions under a single platform by aligning our engineering and in-market construction operating units. Our vision is to be the best end-to-end provider of network services in the U.S. and our core values of GRIT connect everything we do. We are building tomorrow, together. Will you join us? Your New Job Job Summary: The Operations Support Systems (OSS) Business Analyst Intern helps bridge business needs and technical solutions. The BA Intern attends Daily Stand-Up calls for prioritized work, attends / facilitates meetings with business stakeholders, and contributes to creation of documentation and other collateral. This role includes significant cross functional collaboration / co-innovation with end-user groups as well as team members from Operations, Application Development, & Digital Transformation. Key Responsibilities: * Requirements Gathering: o Attends meetings o Documents business needs / user stories o Compiles requirements into simple requirements documents * Process Analysis and Documentation: o Analyzes current state business workflows o Identifies process inefficiencies / gaps o Assists with development and documentation of future / end-state workflows o Workflow design * User Acceptance Testing: o Assists OSS / tech team with authoring test cases o Performs User Acceptance Testing o Reports issues and drives resolution to completion * Application Administration o Assists System Administrators with support tickets o Completes minor application configuration changes o Learns basics of force.com platform Qualifications: * Current University Student - Junior or Senior * Business or Technology related Major * Strong organizational and time management skills * Curiosity * Interest in technology, business process, and problem-solving * Good analytical skills & communication skills * Logical, methodical approach to problem solving Preferred Skills: * How to translate business problems into technical solutions * How to administer User Acceptance Testing * Process Documentation * Platform basics for Operation Support Systems (including Salesforce Platform, mobile applications * Agile Project Methodology * Cross functional / co-innovation work Why Work At Congruex Opportunities We offer opportunities at all levels across the nation - from students to industry veterans - in areas of engineering, construction, and professional services. Wellbeing We value the wellbeing of our people and offer competitive compensation, health benefits, wellness resources, 401(k) retirement planning, and employee recognition and leadership development programs. Options may vary by geographic location. Culture The pillars of Congruex culture are GRIT, safety, inclusion, and family. * GRIT: Our GRIT values are part of our company DNA and the touchstone for our multinational workforce. o Guts - having the guts to do the right thing o Reliability - being reliable to deliver what we promise o Innovation - innovating every day o Teamwork - embracing teamwork together as One Congruex * Safety: We are committed to 24/7 safety practices on our jobsites, within our offices, and all the places our team exists in between. * Inclusion: Congruex embraces our team's diversity and promotes an inclusive workplace for all. * Family: We are a family-oriented company committed to the long-term health and development of our people. The Fine Print: Some benefits have eligibility criteria. All requirements are subject to possible modification to reasonably accommodate individuals with disabilities. This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. This document does not create an employment contract, implied or otherwise, other than an "at-will" employment relationship.

Bilingual Data Scientist On-site in Greenwood Village, CO $40-$50/hour 1-year long W2 contract with benefits About the Role Our client is seeking a bilingual (English + Spanish) Data Scientist to take ownership of an in‑progress Large Language Model (LLM) project. The core solution is already built using GPT-based models, and the team has implemented recursive results and foundational architecture. Your role will be to continue model development, refine existing pipelines, improve performance, and support delivery ahead of the February deadline. You will work closely with cross-functional IT and data teams, transforming complex data into actionable insights while adhering to strict privacy, compliance, and organizational standards. This position is ideal for someone who thrives in fast-paced, research-driven environments and is comfortable working with modern AI tools and cloud technologies. Key Responsibilities Develop, refine, and productionize LLM‑based models, including a partially built GPT-driven solution. Apply data science and machine learning techniques such as clustering, regression, decision trees, SVMs, k‑nearest neighbors, collaborative filtering, matrix factorization, and market basket analysis. Conduct prompt engineering and retrieval‑augmented generation (RAG) workflows for model optimization. Improve model accuracy, relevance, and stability using advanced data mining and NLP techniques. Process and translate complex research data into clear, actionable insights. Work collaboratively with IT teams to design and maintain models within technology and privacy guidelines. Ensure strict adherence to data privacy and industry compliance standards. Utilize Azure-based tools, including Azure Databricks, for model training, deployment, and scalability. Communicate findings clearly in both English and Spanish, supporting bilingual model development and evaluation. Build internal and external professional networks to validate ideas and collaborate on complex challenges. Required Qualifications 1-5 years of professional experience as a Data Scientist or in a similar analytical role. Bilingual fluency in English and Spanish (written and verbal). Practical experience working on AI or LLM-related projects (GPT or similar models). Hands-on experience with: Prompt engineering Retrieval-Augmented Generation (RAG) GPT-based or other LLM architectures NLP techniques (SpaCy experience is a plus) Strong analytical skills with proven experience using clustering, regression analysis, decision trees, SVMs, etc. Proficiency with Azure cloud services, especially Azure Databricks. Strong communication skills with the ability to translate technical content for non-technical audiences. Demonstrated experience working with strict data privacy and data governance standards. Preferred Skills Experience with recursive model workflows. Familiarity with SpaCy-based NLP solutions. Exposure to industrial-grade computing environments or proprietary research tools. Strong teamwork and collaboration abilities. Why This Role Matters The LLM solution is already underway, and the core architecture is in place. This role is crucial for ensuring final delivery-your contributions will directly influence model performance, bilingual capability, and the success of the product launch in February.

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