Data science internship jobs in San Juan Capistrano, CA

The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. 5+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. 3+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. 3+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). 2+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. 2+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). 2+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. 2+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. 1+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education: This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience.

Job Title - Principal Data Scientist- 809 Duration - 12+ months **Only on W2 ** & **California Resident Candidates Only** JOB DETAILS: Skills Required: The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. Experience Preferred Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education Preferred This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience. Additional Information California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m

Role: Principal Data Scientist Duration: 12+ Months contract The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. Required Experience • Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. • Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. • Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). • Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. • Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). • Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. • Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. • One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience. Additional Information • California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m.

Join the Pacsun Community: Co-created in Los Angeles, Pacsun inspires the next generation of youth, building community at the intersection of fashion, music, art and sport. Pacsun is a leading lifestyle brand offering an exclusive collection of the most relevant brands and styles such as adidas, Brandy Melville, Essentials Fear of God, our own brands, and many more. Our Pacsun community believes in and understands the importance of using our voice, platform, and resources to inspire and bring about positive development. Through our PacCares program, we are committed to our responsibility in using our platform to drive change and take action on the issues important to our community. Join the Pacsun Community. Learn more here: LinkedIn- Our Community About the Job: This intern position is responsible for supporting Pacsun's ERP Microsoft D365 implementation project, focusing on system integrations, data mapping, and technical documentation. The intern will assist in the mapping exercise for integration development, participate in technical sessions to gather requirements for interfaces to third-party applications, and work closely with the implementation partner, business stakeholders, and the IT team. This role offers a hands-on opportunity to gain experience in project implementation, software development life cycle, and integration technology. A day in the life, what you'll be doing: Assist with the mapping exercise for Mulesoft development, ensuring alignment with project requirements and technical standards. Participate in technical sessions to gather and document requirements for interfaces to third-party applications. Collaborate with the implementation partner, business resources, and IT team to ensure a seamless flow of information and alignment on deliverables. Analyze data flow and mapping requirements to support system integration and project goals. Document and maintain records of project updates, including meeting notes, progress reports, and technical specifications. Work autonomously to complete assigned tasks, providing regular updates to project leadership on progress, challenges, and resolutions. Contribute to testing and validating system integrations and interfaces as part of the ERP project lifecycle. What it takes to Join: Education: Enrolled in a program related to Computer Science, Information Systems, Business Systems, or a related field. Strong understanding of the software development lifecycle (SDLC) and system mapping processes. Excellent organizational and problem-solving skills with attention to detail. Ability to work independently and proactively in a dynamic project environment. Strong written and verbal communication skills to effectively collaborate with diverse teams. Interest in retail business operations. Major in Computer Science, or applicable field of study Ability to work independently Good oral and written communication skills Basic analytical and problem-solving skills Hourly Salary Rate: $20 Physical Requirements: The physical demands described here are representative of those that are required by an associate to successfully perform the essential functions of this job. While performing the duties of this job, the associate is regularly required to talk or hear. The associate is frequently required to sit; stand; walk; use hands to finger, handle or feel; as well as reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, depth perception and ability to adjust focus. Ability to work in open environment with fluctuating temperatures and standard lighting. Ability to work on computer and mobile phone for multiple hours; with frequent interruptions. Required to travel in elevator or stairwells to attend meetings and engage with associates on multiple floors throughout building. Hotel, Airplane, and Car Travel may be required. Position Type/Expected Hours of Work: This is a part-time position. Commitment to contribute at a minimum of 20 hours a week is required. Work hour flexibility is available without delaying project progress. As a National Retailer, occasional evening and/or weekend work may be required during periods of high volume. This role operates in a professional office environment and routinely uses standard office equipment. Other Considerations: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the associate for this job. Duties, responsibilities and activities may change at any time with or without notice. Reasonable accommodations may be made to qualified individuals with disabilities to enable them to perform the essential functions of the role.

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Job Duties/Responsibilities: Collaborate with key business leaders to understand their business problems and come up with analytical solutions. Applying coding skills and knowledge data structures to develop projects in partnership with other scientists and engineers in the team Build customer segmentation models to better understand our customers and tailor the clinical outcome and healthcare care experience for them. Build and fine-tune models for both LLMs and OCR-based document understanding, enabling accurate extraction from scanned or low-quality medical charts. Develop scalable model pipelines that integrate NLP, computer vision, and unstructured data, leveraging cloud-based infrastructure (Azure) and containerized environments. Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments. Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets. Partner with Coding, Compliance, CDI, Clinical, and Legal teams to ensure data outputs are aligned with CMS guidance. Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness. Help analytical support for CMS Star Ratings strategy, including: Audit sampling methodology validation Chart review error pattern identification Root cause analysis on deletion rates and extrapolation exposure Supervisory Responsibilities: N/A MINIMUM REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 2+ years of relevant experience in predictive modeling and analysis Education/Licensure: Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, or equivalent experience Other: Excellent communication, analytical and collaborative problem-solving skills Experience in building end to end data science solutions and applying machine learning methods to real world problems with measurable outcomes. Deep understanding and experience with various machine learning algorithms, including deep neural networks, natural language processing and LLMs. Solid data structures & algorithms background. Strong programming skills in one of the following: Python, Java, R, Scala or C++ Demonstrated proficiency in SQL and relational databases. Experience with data visualization and presentation, turning complex analysis into insight. Experience in setting experimental analytics frameworks or strategies for complex scenarios. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc. Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources Preferred Qualifications: Healthcare experience Experience in Big Data processing technologies: Databricks Experience in Azure, AWS or other cloud ecosystems. Experience in NoSQL databases. Published work in academic conferences or industry circles. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Knowledge of CMS Risk Adjustment Data Validation (RADV) audits Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ESSENTIAL PHYSICAL FUNCTIONS: The physical demands 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. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: Rev up your career as a Material Master Data Quality Analyst at Monster Energy, where you'll ensure our data roars with integrity, accuracy, and consistency! Dive into the action by identifying, analyzing, and crushing data quality issues, all while developing rock-solid controls. You'll collaborate with cross-functional teams to keep our data standards high and mighty. Your mission? To ensure our product components and processes are fueled by reliable data, driving effective decision-making across the Monster universe. Get ready to unleash your analytical prowess with the unstoppable energy of Monster! The impact you'll make: Perform data profiling and cleansing activities to identify and document data quality issues. Develop metrics and key project indicators (KPIs) to measure the accuracy, completeness, and consistency of material master data; Work with subject matter experts (SMEs) to identify root causes of data inconsistencies. Analyze data quality issues to determine their origins and potential impacts; Create detailed reports outlining findings, recommendations, and implemented solutions. Collaborate with data stewards and other stakeholders to address the root causes and implement corrective actions. Define and implement data quality rules, validation procedures, and quality checks tailored to material master data. Develop profiling reports and ensure adherence to data governance policies, regulatory requirements, and organizational workflows; Maintain comprehensive documentation of data quality rules and processes. Regularly monitor data quality metrics and dashboards to assess data health and identify areas for improvement; Conduct regular audits to ensure material master data meets organizational standards. Work closely with decision-makers to convey the impact of data quality issues and present actionable solutions; Partner with data stewards, SMEs, and other organizational members to resolve data quality problems effectively. Provide training and educational resources to stakeholders to promote data literacy and governance. Collaborate with data analysts, engineers, and architects to ensure that data quality is a key consideration throughout the data lifecycle; Participate in Agile or similar project management workflows to enhance data systems and ensure compliance with data quality standards. Who you are: Prefer a Bachelor's Degree in the field of -- Data Management, Data Analysis, Data Science or related field of study Additional Experience Desired: Between 3-5 years of experience in data analysis, data management or data science Additional Experience Desired: Minimum 1 year of experience in data analysis, data profiling, root cause analysis, and data quality improvement Computer Skills Desired: Microsoft Office, SAP or other database systems, Power BI, SQL, Python Preferred Certifications: N/A Additional Knowledge or Skills to be Successful in this role: N/A Monster Energy provides a competitive total compensation. This position has an estimated annual salary of $71,250 - $95,000. The actual pay may vary depending on your skills, qualifications, experience, and work location.

At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team The Additive Technology team operates at the frontier of research and development, where creativity meets capability. This is an R&D-driven environment where problems are open-ended and solutions are yours to define. You'll work alongside welders, robotics engineers, data scientists, and systems engineers at the intersection of hardware and software, creating an end-to-end additive manufacturing platform that serves a wide variety of applications. From exploring new materials to unlocking faster print speeds, to designing complex, organic geometries that can't be built any other way, it's high-impact work that sets the foundation for the future of additive manufacturing. About the Role We are seeking a highly skilled and motivated Data Science Intern to join our dynamic R&D team. You will be responsible for developing and implementing ML models and algorithms that drive advancements in Relativity's Stargate additive manufacturing platform. You will work closely with cross-functional teams such as Simulation, Robotics, and Software to identify and implement ML-based solutions that drive technology development. You will work to understand data from a wide variety of sources in and around the printer and select appropriate model architectures to achieve business goals. You'll be at the cutting edge of large scale additive manufacturing and you'll get to see the solutions you develop implemented in the Stargate platform. Key Responsibilities: Design, implement, and evaluate machine learning models related to large scale additive manufacturing systems. Use a strong theoretical understanding of ML to guide model selection and optimization based on the data on hand and model performance requirements Collaborate with other team members to deploy ML models into production environments. Extract insights from a wide range of data sources such as sensors, cameras, and physical simulations to understand and optimize the interactions between materials, printing processes, and product performance. Communicate effectively with stakeholders About You Actively pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Physics, Engineering, or a related field Strong programming skills in Python using machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong theoretical understanding of machine learning and statistics Proficiency in statistical analysis, optimization, and data visualization tools. Nice to Haves but Not Required Proficiency with collaborative software development concepts such as git, code review, and CICD Background in the field of Additive Manufacturing Proficiency with databases and SQL At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $37 - $42 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 and June 2028. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering

Established in 1991, Collabera is one of the fastest growing end-to-end information technology services and solutions companies globally. As a half a billion dollar IT company, Collabera's client-centric business model, commitment to service excellence and Global Delivery Model enables its global 2000 and leading mid-market clients to deliver successfully in an increasingly competitive marketplace. With over 8200 IT professionals globally, Collabera provides value-added onsite, offsite and offshore technology services and solutions to premier corporations. Over the past few years, Collabera has been awarded numerous accolades and Industry recognitions including. • Collabera awarded Best Staffing Company to work for in 2012 by SIA. (hyperlink here) • Collabera listed in GS 100 - recognized for excellence and maturity • Collabera named among the Top 500 Diversity Owned Businesses • Collabera listed in GS 100 & ranked among top 10 service providers • Collabera was ranked: • 32 in the Top 100 Large Businesses in the U.S • 18 in Top 500 Diversity Owned Businesses in the U.S • 3 in the Top 100 Diversity Owned Businesses in New Jersey • 3 in the Top 100 Privately-held Businesses in New Jersey • 66th on FinTech 100 • 35th among top private companies in New Jersey *********************************************** Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description Responsible for data analysis related to AMO post-market product complaints and reporting on trends to ensure compliance to all applicable Corporate and Divisional policies and procedures. Demonstrates thorough understanding of Good Manufacturing Practices (GMPs), FDA Code of Federal Regulations (CFRs) and ISO13485. Actively participates in departmental process improvements and effectively communicates knowledge to contribute to overall success of AMO. Core Job Responsibilities: Responsible for compliance with applicable Corporate and Divisional Policies and procedures. Provide Quality Assurance leadership with product quality data and complaint trending to drive product improvements and Corrective and Preventive Actions. Prepare or assist department leadership with monthly trending reports, annual post-market surveillance reports and other monthly and quarterly reports. Participate in various process improvement projects. Responsibilities include developing and reporting on relevant complaint handling system metrics. Works autonomously to identify areas for inquiry. Recognizes that failure to achieve results or erroneous decisions or recommendations may result in significant non-compliance issues. Analyze and report on complaint process metrics. The position is accountable for: - timely and accurate product complaint data analysis and reporting. - developing new and improving existing data analysis tools while maintaining compliance to all regulations. Qualifications Minimum Education, Experience and Training Required: Bachelor's degree in a sciences or engineering discipline or similar field or an equivalent combination of education plus work experience. 1+ years of experience in data analysis, preferably in a regulated medical products manufacturer - Knowledge of and experience using SQL to construct queries - Knowledge of and experience using MS Excel to analyze data - Good verbal and written communication skills - Ability to work well in a team environment. Additional Information All your information will be kept confidential according to EEO guidelines.

Data Analyst (B2B Sales) TP-Link is currently seeking a Data Analyst for our Irvine, CA. location. This position is an onsite role. Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world's top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people's lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology. Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. What we're looking for: As a B2B Sales Support Assistant at TP-Link, you will assist the B2B sales team with maintaining a proprietary database in order to support the sales processes. You will be responsible for providing information internally through reporting and daily support. Possibilities are open to support internal team's important decisions through feedback provided, overall vision and daily reporting/analysis. What your future looks like * Support the whole team by fulfilling the process and generate reports. Ability to optimize the process and provide basic analysis on reports(a plus) * Involved in team daily details including inventory reports, price and special price, sales reports, marketing funds reports etc. * Communicate and coordinate with other team on internal process such as systems, reports, inventory. * Great platform to learn about the industry and sales strategy with the world leading networking vendor. * New SKU Setup. Manage and update price list for distribution. * Track and report monthly/quarterly Spiff. * Provide support in other areas in order to support the company's success.

Reports To: Director of Operations / COO Employment Type: Full-Time Compensation: $60,000 - $250,000 (Potential Earnings) About the Role We are seeking a highly motivated and entrepreneurial Data Analyst to join our growing team. This individual will play a key role in collecting, analyzing, and interpreting data to help drive smarter decisions and improve business performance. The ideal candidate is a self-starter with strong analytical skills, proficiency in SQL, and the ability to turn complex data into clear insights and actionable recommendations. This role does require relocation to Southern California. We are only hosting in-person interviews in Newport Beach, CA for this position. No virtual interviews. If you are unable to attend an in-person interview you will not be considered for the position. Key Responsibilities Data Analysis & Reporting Develop, maintain, and optimize SQL queries, reports, and dashboards. Gather and interpret data from multiple systems to support operational and strategic initiatives. Identify trends, variances, and performance drivers across key business metrics. Automate recurring reports and streamline data workflows for greater efficiency. Business Insights & Decision Support Partner with leadership and cross-functional teams to deliver meaningful insights that inform business strategy. Support budgeting, forecasting, and performance monitoring through data-driven analysis. Translate complex data findings into actionable recommendations for process or financial improvement. Process & Systems Improvement Help refine data collection methods and ensure accuracy across internal systems. Recommend and implement improvements to reporting processes and business tools. Collaborate with technical and operational teams to enhance data accessibility and usability. Entrepreneurial Impact Take initiative to identify opportunities for improvement and innovation. Approach problem-solving with creativity and ownership. Contribute to building a data-informed culture through curiosity, collaboration, and forward thinking. Qualifications Education: Bachelor's degree in Business, Data Analytics, Finance, Economics, or related field. Technical Skills: Proficiency in SQL (writing and optimizing queries, joins, and stored procedures). Advanced Excel skills; experience with data visualization tools (Power BI, Tableau, Looker, etc.). Solid understanding of data management and general business metrics. Soft Skills: Entrepreneurial mindset - proactive, resourceful, and eager to take ownership. Strong analytical and critical-thinking abilities. Excellent communication and presentation skills. Detail-oriented and able to manage multiple priorities. Preferred Experience building automated reporting solutions or analytical dashboards. Exposure to ETL processes, workflow automation, or scripting languages (Python, R, etc.). Compensation & Benefits Competitive salary commensurate with experience Performance-based bonus opportunities Health, dental, and vision coverage Opportunities for professional growth and advancement

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 We are seeking a strong skilled SQL developer with python scripting experience in the healthcare industry. The ideal candidate should have several years of experience in data analysis and data modeling using SQL, Python, and data visualization tools such as PowerBI, SSRS, Qlik. Experience with CMS (Center for Medicare and Medicaid) and Value Based Care programs is highly preferred with an emphasis on knowledge with claims data (CCLF) and electronic medical records (EMRs). Key Responsibilities: Estimate impact with rigorous retrospective analyses (LOS, readmissions, mortality, reimbursement). Contribute into building end-to-end data modeling of clinical and claims data. Productionize efficient, reusable, and reliable SQL code to meet business requirements and help to define technical requirements as needed. Develop, test, and maintain reporting in Power BI driven from electronic medical records data, claims data, HIE data, Salesforce data and other external data sources. Collaborate with cross-functional teams to understand and define, design, and deliver new reports, dashboards, features and enhancements. Create comprehensive reports and data visualizations using Power BI to support decision-making processes. Ensure the performance, quality, and responsiveness of reporting tools. Maintain up-to-date knowledge of emerging technologies and industry trends. Participate in code reviews and contribute to a culture of continuous improvement. Ensure compliance with healthcare regulations and standards, including HIPAA. Required Qualifications: Bachelor's degree in computer science, Information Technology, or a related field, or equivalent practical experience. Four plus years of experience in working with Medicare Shared Savings Program Strong understanding of claims and EMR data structures. Proficiency in back-end technologies such as Node.js, Python, Ruby, Java, or .NET. Experience with database management systems such as Azure, SQL, and MySQL. Expertise in report writing and data visualization using Power BI in the healthcare industry. Strong understanding of healthcare regulations and standards. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in the Costa Mesa office 1-2 days per week (at discretion of hiring manager). Preferred Qualifications: Strong understanding of CMS and Value Based Care programs such as MSSP. Good understanding with Azure, MySql, MSSQL and Data Factory. Knowledge of healthcare interoperability standards (e.g., HL7, FHIR). Experience with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins, Github). Familiarity with Agile development methodologies. Familiar with LLM and AI technology solutions in healthcare.

At Panasonic Avionics Corporation, interns play a meaningful role in driving innovation and shaping the future of inflight entertainment. We're excited to welcome motivated, forward-thinking students to join our growing teams for Summer 2026. Our paid internships run 100% on-site from May/June through August/September, and all candidates must be actively enrolled students during the program. Who We Are: Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity! How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay! To learn more about internship program visit: ************************************** Responsibilities Project Scope: * Automate Quality Metrics: Design and implement processes to extract, transform, and load (ETL) source data into usable formats, reducing manual reporting effort. * Develop Interactive Dashboards: Build a Power BI dashboard that provides real-time visibility into quality performance and supports business decision-making. * Create AI-Based Tools: Develop an AI-driven interface to assess risks and predict potential quality failures, leveraging machine learning concepts. * Collaborate Across Teams: Work closely with IT to secure data access and integrate enterprise systems, ensuring compliance with security and governance standards. * Deliver Business Impact: Provide solutions that improve operational efficiency, enhance data accuracy, and support continuous improvement initiatives. What you'll gain: This internship offers a unique opportunity for the student to apply classroom knowledge to real-world challenges in data analytics, automation, and AI. The intern will gain hands-on experience working with enterprise systems and MS365 tools to automate quality metrics, develop interactive dashboards in Power BI, and build AI-driven solutions for risk assessment and predictive quality analysis. They will collaborate with IT and business teams, gaining exposure to cross-functional processes and decision-making. This experience provides practical skills in high-demand areas, portfolio-worthy deliverables, and valuable networking opportunities-preparing the student for a successful career in data science, analytics, or technology-driven business roles. The hourly wage range for this position is $25- $43. The final offer amount may vary and is based on the candidates' year in school. The minimum hourly wage for this role will be the greater of the posted range, or minimum wage for the location where the employee will be working, subject to local minimum wage requirements. Qualifications * Data Science / Data Analytics: For expertise in data transformation, visualization, and predictive modeling. * Computer Science: For strong programming skills and familiarity with automation and AI/ML concepts. * Additional Preferred Skills & Tools: * Proficiency in Power BI, Excel, and MS365 tools. * Familiarity with ETL processes and data transformation. * Basic understanding of AI/ML techniques for predictive analytics. * Strong communication and collaboration skills for working with IT and business teams. * Must be able to commute and work on-site 5 days a week. * Must be currently enrolled as a fulltime student at an accredited four-year college or university * Experience with MS Project, Excel and PowerPoint. * Ability to decipher technical documents with experience reading engineering drawings. Excellent communication skills both written and spoken. Applicants must be authorized to work on a full-time basis for any employer in the U.S. We are unable to sponsor or take over sponsorship of any type of employment-based visa at this time. Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporation #LI-VK1 REQ-153358

Experience in executing projects in Agile Framework Understanding of machine learning and deep learning frameworks Understanding of generative models (e.g., GANs, VAEs, Transformers) and natural language processing. Understanding of natural language processing (NLP). Understanding of data preprocessing and model fine-tuning. Awareness of ethical considerations and bias mitigation strategies. Proficiency in programming language Python / C# Strong analytical and problem-solving skills. Base Salary Range: $110,000 - $145,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN

Supply Chain Intern When you're part of the team at Thermo Fisher Scientific, you'll do important work, like helping customers in finding cures for cancer, protecting the environment, or making sure our food is safe. Your work will have real-world impact, and you'll be supported in achieving your career goals. Our staff members are committed to making a difference in our organization, for our client partners, and the patients we serve. We seek individuals with proven competencies and strong character to help lead our organization now and into the future. Our interns receive professional mentorship and leadership development opportunities to support future career growth with us. Whether you're looking to come back as a repeat intern, transition into one of our Leadership Development Programs, or pursue a full-time position post-graduation, our team is here to support your next step! How will you make an impact? Our interns are matched to projects based on their abilities and current business needs. All projects will have significant strategic and/or operating importance to the business to which they are assigned. Summer projects may include the following responsibilities: Contribute to supply optimization projects, partnering with leadership to identify and implement improvements that enhance efficiency and resilience across the supply chain. Support demand forecasting enhancements by refining models, conducting data analyses, and identifying opportunities to improve forecast accuracy. Assist in supply chain master data refinement, ensuring data integrity and standardization to strengthen decision-making and reporting. Develop and refine supply chain KPI dashboards and metrics, providing actionable insights to measure performance and drive continuous improvement. Apply continuous improvement methodologies (i.e., PPI, Lean, Six Sigma) to identify inefficiencies and recommend process improvements. Collaborate with cross-functional teams-including planning, operations, procurement, and analytics-to align supply chain initiatives with business objectives. Start Date This internship is set to begin on either May 11th or June 15th, 2026, for a duration of 10-12 weeks - dependent upon student availability per academic calendars. Compensation & Relocation Our undergraduate Supply Chain internships offer an hourly rate between $21.50 - $28.75 dependent upon the location you are supporting (aligned to respective cost-of-living guidelines). Additionally, a relocation stipend is offered in the amount of $5,000 if necessary. Student must be located 50+ miles away from the physical location of the internship to be eligible for the relocation stipend. How will you get here? Undergraduate student pursuing a degree in Industrial Engineering, Supply Chain Management, Supply Chain Analytics, Business Analytics, or related fields, with expected graduation between December 2026 and June 2027. 0 years of work experience required; previous related internships preferred. Strong analytical skills with the ability to interpret data, generate insights, and recommend improvements. Consistent track record of results demonstrating integrity, innovation, involvement, and intensity. Energized through championing change, driven in getting results, and savvy in navigating ambiguity. Excellent interpersonal communication skills with a high degree of emotional intelligence. If this sounds like you, we'd love to hear from you! To qualify, applicants must be legally authorized to work in the United States and should not require sponsorship (current or future) for employment visa status. Thermo Fisher does not offer employment in this position to holders of F-1, J-1, H-1, OPT, and CPT Visas for the purpose of obtaining practical experience. Compensation and Benefits The hourly pay range estimated for this position based in California is $14.75-$28.75. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: A choice of national medical and dental plans, and a national vision plan, including health incentive programs Employee assistance and family support programs, including commuter benefits and tuition reimbursement At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: *****************************************************

Details: We are seeking a reliable and detail-oriented Data Coordinator to support operational data collection and camera system monitoring across our Tustin and Corona office locations. This 3-month contract role plays a key part in maintaining accurate driver identification records, coordinating system issues with internal stakeholders, and providing general administrative support. The ideal candidate brings strong communication skills, solid office experience, and the ability to manage routine processes with precision. Details: Key Responsibilities Monitor internal camera systems to support driver identification and verification processes Perform accurate data entry and documentation of driver-related information and activity Coordinate with hiring managers and operations teams regarding camera outages, access issues, and system updates Track, organize, and validate data for internal reporting and compliance needs Provide general office and administrative support as needed Assist with basic analytical tasks related to data collection and quality review Communicate clearly with cross-functional teams to ensure issues are documented and resolved promptly Qualifications Prior office or administrative experience, including data entry or clerical support preferred Strong written and verbal communication skills High attention to detail and ability to manage routine tasks accurately Comfortable working with computer systems, tracking tools, and basic reporting platforms Ability to coordinate effectively with multiple stakeholders Reliable, punctual, and adaptable to working across two office locations Pay: $18-$21/hr

Location: On-site preferred (near Ontario, CA) Duration: 3-6 months (flexible, minimum 20 hours/week) Compensation: $18/hour Eligibility: Junior/Senior undergraduate or graduate student in business analytics, statistics, economics, or related fields Key Responsibilities: Analyze sales, advertising (Amazon DSP/Sponsored Ads), and shipping/returns data Identify performance trends, channel insights, and margin opportunities Prepare dashboards and reports for decision-making Collaborate with cross-functional teams to turn insights into business actions Support pricing, inventory, and logistics optimizations What You'll Gain: Mentorship in applied analytics, operations, and e-commerce Real-world exposure to Amazon, Wayfair, Walmart, and DTC analytics environments Opportunity to propose and test your own hypotheses with measurable business impact 🎁 Additional Perks & Benefits Flexible schedule to accommodate classes and exams Opportunities to attend industry expos or customer site visits Letter of recommendation upon completion Mentorship from experienced professionals in marketing, e-commerce, and analytics For outstanding interns: priority consideration for full-time role H-1B sponsorship available 📝 Application Process Please submit: Resume Short paragraph on why you're interested Optional: Portfolio, past project, or campaign report (for marketing positions)

PIMCO is a global leader in active fixed income. With our launch in 1971 in Newport Beach, California, PIMCO introduced investors to a total return approach to fixed income investing. In the 50+ years since, we have worked relentlessly to help millions of investors pursue their objectives - regardless of shifting marketing conditions. As active investors, our goal is not just to find opportunities, but to create them. To this end, we remain firmly committed to the pursuit of our mission: delivering superior investment returns, solutions, and service to our clients. Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients. 2026 Summer Internship - Business Development Support Analyst, US Internship positions are located at PIMCO's Newport Beach, CA Headquarters. You're eligible to apply if you: Pursuing an undergraduate degree Must be able to begin full time employment at a PIMCO office between January 2027 - August 2027 Must be enrolled at a university during the Fall 2026 semester (August 2026 - December 2026) Have a minimum 3.2 cumulative collegiate grade point average on a 4.0 scale (or the equivalent) at an accredited 4-year college or university Are business proficient in English See yourself as a Business Development Support Analyst: The Business Development Support group plays an integral part in the initial sales/marketing process for prospective clients, as well as in the servicing of PIMCO's existing clients and investment consultants worldwide. The BDS team utilizes a collaborative team approach and works closely with PIMCO's investment professionals, especially with Product Strategists and Account Managers, to respond to new business proposals across PIMCO's public and private market strategies and provide superior client servicing. Your primary responsibilities will include: Developing a strong understanding of the firm's strategy offerings and overall investment approach; presenting strategy summaries in bi-weekly meetings Researching and analyzing market trends, competitor activities and client needs to provide actionable insights Learning how to access, analyze and report data from the firm's proprietary systems, the BDS team's content library software and other data solutions actively used across the firm to service clients. Assisting with the completion of Requests for Proposals (RFPs) and questionnaires (general and due diligence), and various ad hoc requests to maintain strong client relationships and aid in business growth You'll excel as a Business Development Support Analyst if you: Demonstrate proficiency with Microsoft Office (Outlook, Word, Excel, PowerPoint) Are familiar with financial markets and have a strong interest in learning about fixed income, the asset management industry, and client/consultant relationships Have demonstrated strong analytical and problem-solving skills, which are crucial for data analysis and market research Have excellent time management & organizational skills and ability to flourish in a challenging, fast-paced, professional environment Show commitment to quality and attention to detail; ensure that work is complete, accurate and on time Show strong communication skills and ability to interact professionally with all levels of internal and external personnel in both written and verbal communications Have experience or prior college internships in a financial, client-oriented role and/or demonstrated interest through business, finance, and analytics coursework, as well as relevant professional and student organizations While our eligibility requirements are not flexible, we encourage you to apply even if you do not possess 100% of the desired skills outlined above. The PIMCO Internship Experience: The PIMCO Internship Program runs between Monday, June 8th - Friday, August 14th, 2026, with the expectation that you will be available for the full duration of the program During Week 1, you'll participate in PIMCO Fundamentals Training, providing you with the skills, knowledge, and relationships that will prepare you for success Alongside your colleagues, participate in PIMCO's Global Month of Volunteering, developed to heighten the impact of our employees' worldwide volunteer efforts Join us for a variety of cross-divisional education, networking & social events! Your supervisor, peer mentor, senior leaders and team offer guidance and mentorship throughout the summer You'll receive feedback at mid- and end-of-summer as part of a formal review process to keep you on the path to meeting your summer goals Want to learn more? Hear about The PIMCO Internship Experience from past interns As a PIMCO intern, you'll receive competitive compensation, along with a transition bonus to help with relocation to one of our office locations How you should apply: Applications open in August 2025. We review applications on a rolling basis and encourage you to apply by submitting your resume as soon as you are ready. What to expect during the interview process: After we receive your application, we will conduct an initial review of your resume If you are selected to move forward, you will have the opportunity to showcase your interests, skills, and personality by completing a one-way video interview If you are chosen to proceed after the video interview, you will then take an assessment Once you complete the assessment, you will have a final round of live interviews with us via video conference. These interviews typically include both behavioral and technical questions PIMCO is an equal opportunity employer committed to creating an inclusive, cognitively diverse environment. For more information on PIMCO and Career Opportunities, please visit ****************************** PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the fixed component of compensation that is determined by core job responsibilities, relevant experience, internal level, and market factors. The discretionary bonus is used to award performance and therefore is determined by company, business, team, and individual performance. Hourly Rate: $ 37.50 Equal Employment Opportunity and Affirmative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at ************ and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.