Data science internship jobs in Kingsport, TN

Need strong Data Management resources that have hands-on data provisioning and ability to distribute the data. Moderate to Advanced SQL skills (writing complex queries is a plus) Commercial Lending (iHub, WICS, WICDR systems)/Commercial Banking Background Metadata/Data Governance Regulatory Reporting Data Management Framework SQL Data Quality

Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support. MUST have experience with Python, PyTorch, Flask (knowledge at minimum with ability to quickly pickup), Familiarity with REST APIs (at minimum), Statistics background/experience, Basic understanding of NLP. Desired skills for a candidate include experience performance R&D with natural language processing, deploying CNN and LLMs or foundational models, deploying ML models on multimedia data, experience with Linux System Administration (or bash), experience with Android Configuration, experience in embedded systems (Raspberry Pi). Required Skills and Demonstrated Experience Demonstrated experience in Python, Javascript, and R. Demonstrated experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch. Demonstrated experience with statistical inference, as well as building and understanding predictive models, using machine learning methods. Demonstrated experience with large-scale text analytics. Desired Skills Demonstrated hands-on experience performing research or development with natural language processing and working with, deploying, and testing Convolutional Neural Networks (CNN), large-language models (LLMs) or foundational models. Demonstrated experience developing and deploying testing and verification methodologies to evaluate algorithm performance and identify strategies for improvement or optimization. Demonstrated experience deploying machine learning models on multimedia data, to include joint text, audio, video, hardware, and peripherals. Demonstrated experience with Linux System Administration and associated scripting languages (Bash) Demonstrated experience with Android configuration, software development, and interfacing. Demonstrated experience in embedded systems (Raspberry Pi) Develops and conducts independent testing and evaluation methods on research-grade algorithms in applicable fields. Reports results and provide documentation and guidance on working with the research-grade algorithms. Evaluates, Integrates and leverage internally-hosted data science tools. Customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods Location: Reston, Virginia This position is onsite and there is no remote availability. Clearance: Active TS/SCI with Full Scope Polygraph Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements. Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.

10+years of experience required in Information Technology. Python Programming: At least 5 years of hands-on experience with Python, particularly in frameworks like FastAPI, Django, Flask, and experience using AI frameworks. • Access Control Expertise: Strong understanding of access control models such as Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC). • API and Connector Development: Experience in developing API connectors using Python for extracting and managing access control data from platforms like Azure, SharePoint, Java, .NET, WordPress, etc. • AI and Machine Learning: Hands-on experience integrating AI into applications for automating tasks such as access control reviews and identifying anomalies • Cloud and Microsoft Technologies: Proficiency with Azure services, Microsoft Graph API, and experience integrating Python applications with Azure for access control reviews and reporting. • Reporting and Visualization: Experience using reporting libraries in Python (Pandas, Matplotlib, Plotly, Dash) to build dashboards and reports related to security and access control metrics. • Communication Skills: Ability to collaborate with various stakeholders, explain complex technical solutions, and deliver high-quality solutions on time. • PlainID: Experience or familiarity with PlainID platforms for identity and access management. • Azure OpenAI: Familiarity with Azure OpenAI technologies and their application in access control and security workflows. • Power BI: Experience with Microsoft Power BI for data visualization and reporting. • Agile Methodologies: Experience working in Agile environments and familiarity with Scrum methodologies for delivering security solutions.

This person is responsible for extracting insights and building predictive models from data. Analyzes curated data, builds ML models, and validates them with experiments. The DS researches and defines business problems and translates them into analytical or ML tasks. Conducts exploratory data analysis to identify patterns, correlations, and anomalies. They will be in charge of designing, training, and evaluating statistical, ML, or AI models. Works with SMEs to determine use cases, model requirements, and alternative solutions. Defines requirements and specifications from which Data Specialists build data structures. Works closely with Data Engineers and customers to ensure correct implementation. Required Experience: Bachelor's in Mathematics, OR, Business, Economics, or related field preferred. Minimum 7+ years designing and implementing mathematical and statistical models. Strong experience with Python/R, PyTorch, Scikit-Learn, Jupyter, visualization, A/B testing. SQL (Oracle, MySQL, or Hive). Oracle DB and Hadoop experience preferred. Ability to work independently and under deadlines. Strong communication and problem-solving skills. Clearance Requirement: Must be a US Citizen with an active DoD Secret security clearance.

Job Title: Senior Snowflake Data Scientist Long term Contract For data scientists, additional skill set required to be in AIML, RAG & LLM Models, Agentic AI experience. The Senior Snowflake Data Scientist will lead the development, deployment, and operationalization of machine learning and statistical models that solve complex business problems and drive strategic decision-making. This role requires an expert blend of statistical rigor, advanced programming, and deep knowledge of leveraging Snowflake's ecosystem (e.g., Snowpark, Streamlit, external functions) for high-performance, in-warehouse data science. Key Responsibilities 1. Advanced Modeling & Analysis Model Development: Design, build, train, and validate sophisticated machine learning (ML) and statistical models (e.g., predictive, prescriptive, clustering, forecasting) to address key business challenges (e.g., customer churn, sales forecasting, risk modeling). Feature Engineering: Utilize advanced SQL and Python/Snowpark to perform large-scale feature engineering, data transformation, and preparation directly within Snowflake, ensuring high data quality and low latency for modeling. A/B Testing & Causal Inference: Design and analyze experiments (A/B tests) and employ causal inference techniques to measure the business impact of product features, strategies, and model outputs. 2. MLOps & Production Deployment Operationalization: Lead the process of deploying trained models into production environments, utilizing Snowpark, Snowflake UDFs/UDTFs, and external functions for scalable inference and real-time scoring. Pipeline Automation: Collaborate with Data Engineering to integrate ML pipelines into CI/CD workflows, ensuring models are automatically retrained and redeployed using tools like Airflow or orchestration platforms. Monitoring: Establish and maintain robust monitoring for model performance (drift, bias, accuracy) and operational health within the Snowflake environment. 3. Data Visualization & Storytelling Insight Generation: Conduct deep-dive exploratory data analysis (EDA) using complex Snowflake SQL to uncover hidden patterns, opportunities, and risks. Visualization & Communication: Effectively communicate complex analytical findings, model outputs, and recommendations to technical and non-technical stakeholders and senior leadership using compelling data storytelling and visualization tools (e.g., Tableau, Power BI, or Snowflake Streamlit). 4. Platform & Technical Leadership Best Practices: Define and promote best practices for statistical rigor, ML coding standards, and efficient data processing within the Snowflake ecosystem. Mentorship: Provide technical guidance and mentorship to junior data scientists and analysts on modeling techniques and leveraging Snowflake's data science features. Innovation: Stay current with the latest features of the Snowflake Data Cloud (e.g., Generative AI/LLMs, Unistore, Data Sharing) and propose innovative ways to leverage them for business value. Minimum Qualifications MS or Ph.D. in a quantitative discipline (e.g., Statistics, Computer Science, Engineering, Economics, or Mathematics). 7+ years of progressive experience in Data Science, with at least 3+ years of hands-on experience building and deploying ML solutions in a cloud data warehouse environment, preferably Snowflake. Expert proficiency in Python (including packages like scikit-learn, NumPy, Pandas) and writing scalable code for data processing. Expert-level command of Advanced SQL for complex data manipulation and feature engineering. Proven experience with Machine Learning algorithms and statistical modeling techniques. Strong understanding of MLOps principles for model lifecycle management. Preferred Skills & Certifications Snowflake SnowPro Advanced: Data Scientist Certification. Hands-on experience developing solutions using Snowpark (Python/Scala). Experience building data apps/dashboards using Snowflake Streamlit. Familiarity with cloud platforms and services (AWS Sagemaker, Azure ML, or GCP Vertex AI) integrated with Snowflake. Experience with workflow orchestration tools (e.g., Apache Airflow, dbt).

Dexian is seeking a Data Scientist with GenAI and Python for an opportunity with a client located in Charlotte, NC. Responsibilities: Design, develop, and deploy GenAI models, including LLMs, GANs, and transformers, for tasks such as content generation, data augmentation, and creative applications Analyze complex data sets to identify patterns, extract meaningful features, and prepare data for model training, with a focus on data quality for GenAI Develop and refine prompts for LLMs, and optimize GenAI models for performance, efficiency, and specific use cases Deploy GenAI models into production environments, monitor their performance, and implement strategies for continuous improvement and model governance Work closely with cross-functional teams (e.g., engineering, product) to understand business needs, translate them into GenAI solutions, and effectively communicate technical concepts to diverse stakeholders Stay updated on the latest advancements in GenAI and data science, and explore new techniques and applications to drive innovation within the organization Utilize Python and its extensive libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, LangChain) for data manipulation, model development, and solution implementation Requirements: Proven hands-on experience implementing Gen AI project using open source LLMs (Llama, GPT OSS, Gemma, Mistral) and proprietary API's (OpenAI, Anthropic) Strong background in Retrieval Augmented Generation implementations In depth understanding of embedding models and their applications Hands on experience in Natural Language Processing (NLP) solutions on text data Strong Python development skills. Should be comfortable with Pandas and NumPy for data analysis and feature engineering Experience building and integrating APIs (REST, FastAPI, Flask) for serving models Fine tuning and optimizing open source LLM/SLM is a big plus Knowledge of Agentic AI frameworks and Orchestration Experience in ML and Deep Learning is an advantage Familiarity with cloud platforms (AWS/Azure/GCP) Experience working with Agile Methodology Strong problem solving, analytical and interpersonal skills Ability to work effectively in a team environment Strong written and oral communication skills Should have the ability to clearly express ideas Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit ******************* to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

BUILT TO CONNECT At Astec, we believe in the power of connection and the importance of building long-lasting relationships with our employees, customers and the communities we call home. With a team more than 4,000 strong, our employees are our #1 advantage. We invest in skills training and provide opportunities for career development to help you grow along with the business. We offer programs that support physical safety, as well as benefits and resources to enhance total health and wellbeing, so you can be your best at work and at home. Our equipment is used to build the roads and infrastructure that connects us to each other and to the goods and services we use. We are an industry leader known for delivering innovative solutions that create value for our customers. As our industry evolves, we are using new technology and data like never before. We're looking for creative problem solvers to build the future with us. Connect with us today and build your career at Astec. LOCATION: Chattanooga, TN On-site / Hybrid (Role must report on-site regularly) ABOUT THE POSITION The Data Scientist will play a key role in establishing the analytical foundation of Astec Smart Services. This individual will lead efforts to build pipelines from source to cloud, define data workflows, build predictive models, and help guide the team's approach to turning data into customer value. He or she will work closely within Smart Services and cross-functionally to ensure insights are actionable and impactful. The role blends Data architecture, data engineering, and data science to help build Smart Services analytical foundation. This person will be instrumental in helping to build Astec's digital transformation and aftermarket strategy. Deliverables & Responsibilities Data Engineering: Build and maintain robust data pipelines for ingestion, transformation, and storage. Optimize ETL processes for scalability and performance. Data Architecture: Design and implement data models that support analytics and operational needs. Define standards for data governance, security, and integration. Data Science: Develop predictive models and advanced analytics to support business decisions. Apply statistical and machine learning techniques to large datasets. Strong business acumen to understand decision drivers with internal and external customers Collaborate with individuals and departments across the company to ensure insights are aligned with customer needs and drive value. To be successful in this role, your experience and competencies are: Bachelor's degree in data science, engineering, or related field. (Adv. degrees a plus.) 5+ years of experience in data science, including at least 3 years in industrial or operational environments. Strong communication and project management skills are critical. Proficiency in data pipeline tools (e.g., Spark, Airflow) and cloud platforms (Azure, AWS, GCP). Strong understanding of data modeling principles and database technologies (SQL/NoSQL). Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis. Ability to work across data architecture design and data science experimentation. Programming: Python, SQL, and optionally Scala or Java. Familiarity with distributed systems and big data technologies. Strong communication skills for translating technical insights into business value. Ability to work across technical, commercial, and customer-facing teams. Supervisor and Leadership Expectations This role will not have supervisory or managerial responsibilities. This role will have program management responsibilities. Our Culture and Values Employees that become part of Astec embody the values below throughout their work. Continuous devotion to meeting the needs of our customers Honesty and integrity in all aspects of business Respect for all individuals Preserving entrepreneurial spirit and innovation Safety, quality and productivity as means to ensure success EQUAL OPPORTUNITY EMPLOYER As an Equal Opportunity Employer, Astec does not discriminate on the basis of race, creed, color, religion, gender (sex), sexual orientation, gender identity, marital status, national origin, ancestry, age, disability, citizenship status, a person's veteran status or any other characteristic protected by law or executive order.

Accentuate Staffing is working with a client that is hiring an experienced Data Scientist to work on predictive analytics and join their data and AI team. This role combines advanced machine learning research with strategic business analytics to create scalable predictive solutions that drive efficiency and smarter decision-making across the enterprise. The ideal candidate will bring a blend of technical expertise in machine learning, cloud platforms, and data engineering, alongside strong business acumen. You'll build and refine predictive models that help the company forecast sales, understand demand patterns, and make smarter operational decisions - from production planning to staffing and supply chain management. Responsibilities: Design and implement advanced predictive and machine learning models to support sales forecasting, demand planning, and strategic decision-making. Build and maintain scalable ETL/ELT data pipelines that integrate structured and unstructured data from multiple business sources. Experiment with AI techniques such as NLP, computer vision, and generative models to explore innovative applications across the organization. Partner with business and IT teams to define analytics requirements, operationalize models, and integrate outputs into dashboards and reporting platforms. Develop and manage self-service analytics dashboards using Power BI, SAP Analytics Cloud, or similar tools to deliver actionable insights. Ensure data integrity, quality, and governance across predictive systems. Qualifications: Degree in Data Science, Computer Science, Statistics, or a related field. Experience in predictive analytics, data science, or AI engineering within a business setting. Proficiency in Python, R, SQL, and experience with cloud-based ML platforms such as Azure ML, AWS, or GCP. Hands-on experience with data pipeline technologies (Azure Data Factory, Spark, Hadoop) and business intelligence tools (Power BI, Tableau, or SAP Analytics Cloud). Strong understanding of machine learning model lifecycle management, from design through deployment and monitoring. Exceptional communication and stakeholder engagement skills, with the ability to translate technical work into business value.

• Collect, clean, and preprocess large datasets from multiple sources. • Apply statistical analysis and machine learning techniques to solve business problems. • Build predictive models and algorithms to optimize processes and improve outcomes. • Develop dashboards and visualizations to communicate insights effectively. • Collaborate with cross-functional teams (Product, Engineering, Risk, Marketing) to identify opportunities for leveraging data. • Ensure data integrity, security, and compliance with organizational standards. • Stay current with emerging technologies and best practices in data science and AI. ________________________________________ Required Qualifications • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. • Strong proficiency in Python, R, SQL, and experience with data manipulation libraries (e.g., Pandas, NumPy). • Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Solid understanding of statistical modeling, hypothesis testing, and data visualization. • Experience with big data platforms (e.g., Spark, Hadoop) and cloud environments (AWS, Azure, GCP). • Excellent problem-solving skills and ability to communicate complex concepts clearly. ________________________________________ Preferred Qualifications • Experience in risk modeling, financial services, or product analytics. • Knowledge of MLOps and deploying models in production. • Familiarity with data governance and compliance frameworks. ________________________________________ Soft Skills • Strong analytical thinking and attention to detail. • Ability to work independently and in a team environment. • Effective communication and stakeholder management skills. #LI-CGTS #TS-0455

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we'll give you what you need to make it happen. It won't always be easy, growing takes grit. But at ABB, you'll never run alone. Run what runs the world. This Position reports to: IS Domain Delivery Manager, Data & Analytics As an intern, you will have the opportunity to gain practical experience through various projects. Each day, you will acquire knowledge by performing tasks as directed. You will also showcase your skills by supporting ABB's operations and enhancing personal education/employment opportunities. The work model for the role is onsite/hybrid in Cary, NC. You will be mainly accountable for: Supports the implementation, delivery, and continuous improvement of D&A products and services as directed. Acquires practical experience to support the academic studies/course(s) and enhance personal employment opportunities. Collaborate with various teams to support ABB's operations, ensuring effective coordination and successful project completion within the defined timelines. Utilizes their understanding of customers' needs and ABB's solutions to determine effective solutions for customers, ensuring successful project outcomes aligned with customer requirements. Communicates with the business to understand the existing processes and contributes to continuous process improvement efforts in the project. Participates in team meetings, brainstorming sessions, and other collaborative efforts. Seeks feedback and guidance from manager and team members to improve performance and skills. Support Power BI Dashboard development activities Qualifications for the role: Currently enrolled in a bachelor's or master's degree program in Information Systems, Data Analytics, Computer Science, or related fields, in the United States. Intern must have reliable transportation to and from the worksite. Must be legally authorized to work in the United States without company sponsorship now and in the future. Utilize critical thinking skills to analyze complex situations and develop strategic solutions. Effectively organize and prioritize tasks to meet deadlines. Exhibit the capability to manage several tasks at once while maintaining high standards of quality. Collaborate with team members to convey ideas, share information, and provide updates on project progress. Why ABB? What's in it for you We want you to bring your full self to work-your ideas, your energy, your ambition. You'll have the tools and freedom to grow your skills, shape your path, and take on challenges that matter. Here, your work creates impact you can see and feel, every day. ABB is an Equal Employment Opportunity and Affirmative Action employer for protected Veterans and Individuals with Disabilities at ABB. All qualified applicants will receive consideration for employment without regard to their- sex (gender identity, gender expression, sexual orientation), marital status, citizenship, age, race and ethnicity, inclusive of traits historically associated with race or ethnicity, including but not limited to hair texture and protective hairstyles, color, religious creed, national origin, pregnancy, physical or mental disability, genetic information, protected Veteran status, or any other characteristic protected by federal and state law. For more information regarding your (EEO) rights as an applicant, please visit the following websites: ******************************************************************************************** As an Equal Employment Opportunity and Affirmative Action Employer for Protected Veterans and Individuals with Disabilities, applicants may request to review the plan of a particular ABB facility between the hours of 9:00 A.M. - 5:00 P.M. EST Monday through Friday by contacting an ABB HR Representative at **************. Protected Veterans and Individuals with Disabilities may request a reasonable accommodation if you are unable or limited in your ability to use or access ABB's career site as a result of your disability. You may request reasonable accommodations by calling an ABB HR Representative at ************** or by sending an email to ****************. Resumes and applications will not be accepted in this manner. Internships at ABB within the United States are not eligible for company-sponsored medical benefits, 401(k) contributions, or paid time off. The hourly rate is determined by things such as the successful applicant's qualifications, graduation year and experience. This position is expected to pay between $20 - $34 per hour. We value people from different backgrounds. Could this be your story? Apply today or visit *********** to read more about us and learn about the impact of our solutions across the globe.

Corporate Office - Knoxville, TN Who Are We? Stand Out For Good, Inc. is a rapidly growing women's fashion company with 5 unique brands, in 130+ locations, across 38 states. Our stores feel like a sanctuary - a place of beauty from the inside out. From welcoming experiences and warm associates to thoughtfully curated products, our brands are built upon the founding principles of giving back and making a difference in the World. Our Mission “Stand Out. For Good”. At Altar'd State, those four words are more than just our motto, they are why we exist. From Mission Mondays, where 10% of our net proceeds go directly to local charitable organizations, to our long-standing partnership with Coprodeli USA, in which we are in the process of building 22 schools for impoverished communities in Peru, we are committed to giving back in meaningful ways to those in need. The DC Analyst/Data Intern will have the opportunity to gain hands-on experience with data-driven operations in the fashion retail industry. Working in the Distribution Center, the intern will support the Operations and Analytics teams in tracking, analyzing, and reporting on warehouse performance and inventory flow. This role offers exposure to data management, reporting tools, and operational decision-making while working in a fast-paced, team-oriented warehouse environment. The intern will collaborate with experienced analysts and operations leaders to understand how accurate data and insights drive business success. Key Responsibilities Assist in gathering and cleaning data from multiple sources to ensure accuracy and consistency. Support the Analytics team in preparing reports, dashboards, and visualizations for internal stakeholders. Help identify trends, anomalies, and opportunities within sales, inventory, and customer data. Participate in process improvement initiatives to streamline data workflows and enhance reporting efficiency. Perform administrative tasks such as maintaining databases, updating spreadsheets, and documenting data processes. Collaborate with teams to provide insights that support merchandising, marketing, and operational decisions. Qualifications Senior, or recent graduate pursuing a degree in Data Analytics, Statistics, Business, Information Systems, or a related field. Interest in data analysis, business intelligence, or retail analytics. Proficiency in Google Workspace; familiarity with Excel, SQL, or data visualization tools is a plus. Excellent attention to detail and strong organizational skills. Ability to work independently in a fast-paced environment as well as collaborate with a team. Problem-solving mindset with a willingness to learn and adapt to evolving processes. Must have a few days of open availability and be able to work a minimum of 20-25 hours per week. Stand Out For Good, Inc. is an equal opportunity employer and values diversity. All employment decisions are decided on the basis of qualification, merit and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. We are proud to share that our associates have made us one of Fortune's Best Companies to Work For! Recently, our team has received the following recognition: #73 in Fortune 100 Best Companies to Work For 2023 #4 in Fortune Best Workplaces in Retail™ 2022 #93 in Best Workplaces for Millennials™ 2023 #34 in Fortune Best Workplaces for Women™ 2022

The Junior Data Analyst Intern will be responsible for developing, modifying and assisting in the support of several internal database systems and tools. Will troubleshoot existing systems and help develop recommendations, fixes and advancements. Work with experienced professionals who will guide processes. An opportunity to expand your skills and utilize your current knowledge. Job Requirements High School Diploma Enrolled in a current college program Strong IT and Database experience Ability to adapt book knowledge to real-world situations

We are seeking a motivated and analytical Logistics Data Analyst Intern to join our Charlotte office. This internship will provide exposure to freight forwarding operations with a focus on data analysis, predictive modeling, and process improvement. It's an excellent opportunity for students pursuing a degree in Data Analytics, Supply Chain, or a related field to apply classroom knowledge in a global logistics setting. On-site role Location: Charlotte, NC (DP World does not offer accommodations for internships) Strong performance could lead to a full-time position after graduation 10-week program that will run from June 2026 to August 2026 KEY ACCOUNTABILITIES Data Analysis: Collect, analyze, and interpret data related to freight forwarding operations, with a focus on ocean freight Predictive Modeling: Assist in building and testing predictive indexes to improve forecasting and operational efficiency Reporting: Develop dashboards and reports to track performance metrics and identify trends Process Improvement: Provide insights based on data analysis to support decision-making and optimize operations Project Support: Collaborate with team members on ad hoc projects related to freight forwarding and logistics QUALIFICATIONS, EXPERIENCE AND SKILLS Pursuing a degree in Data Analytics, Supply Chain Management, Business, or a related field Strong analytical and problem-solving skills Proficiency in Microsoft Excel; experience with data tools (SQL, Python, Power BI, Tableau) a plus Interest in logistics, freight forwarding, and supply chain operations Ability to manage multiple tasks, prioritize, and work independently What You Will Gain Hands-on experience in freight forwarding and logistics operations Exposure to predictive modeling and advanced data analysis techniques Opportunities to contribute to projects that improve efficiency and decision-making Mentorship and guidance from experienced logistics and data professionals Please note: This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in The United States without sponsorship now or in the future. ABOUT DP WORLD Trade is the lifeblood of the global economy, creating opportunities and improving the quality of life for people around the world. DP World exists to make the world's trade flow better, changing what's possible for the customers and communities we serve globally. With a dedicated, diverse and professional team of more than 115,000 employees from 160 nationalities, spanning 78 countries on six continents, DP World is pushing trade further and faster towards a seamless supply chain that's fit for the future. We're rapidly transforming and integrating our businesses -- Ports and Terminals, Marine Services, Logistics and Technology - and uniting our global infrastructure with local expertise to create stronger, more efficient end-to-end supply chain solutions that can change the way the world trades. What's more, we're reshaping the future by investing in innovation. From intelligent delivery systems to automated warehouse stacking, we're at the cutting edge of disruptive technology, pushing the sector towards better ways to trade, minimizing disruptions from the factory floor to the customer's door. DP World is on a mission to transcend boundaries and bridge the gap between all nations and cultures - not just in what we do but also in how we behave. We are dedicated to creating a culture where everyone feels respected, supported, and empowered to reach their full potential. We believe that embracing inclusion and diversity, drives innovation and growth and helps us connect people, businesses, and societies. Free minds and different perspectives are changing our world, and together we can change what's possible. WE MAKE TRADE FLOW TO CHANGE WHAT'S POSSIBLE FOR EVERYONE. DP World is committed to the principles of Equal Employment Opportunity (EEO). We strongly believe that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, race, religion or belief. By submitting your resume and application information, you authorize DP World to transmit and store your information in the world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies. #LI-JR2 #LI-Hybrid

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

Who We Are: Bandwidth, a prior “Best of EC” award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders! At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband What We Are Looking For: As the Summer 2026 Fraud Analyst Intern with Bandwidth Fraud Mitigation team, you will assist with stopping fraud and unwanted traffic across Bandwidth's Network. Being a part of this team, you will understand how we monitor our network for fraudulent and unwanted activity, how we look for new patterns, and how we stop fraudsters in their tracks. What You'll Do: Assist with data analysis to improve Bandwidth's ability to detect and stop fraudulent and unwanted traffic. Create and improve automation to alert our Fraud Analysts of potentially fraudulent traffic. Assist in drafting requirements for new tools, methods, and visualizations to improve Fraud Mitigation efficiency. Understand how to detect patterns and find fraudulent anomalies. What You Need: Working towards a Bachelors or graduate degree in Computer Science, Statistics, Analytics, or other fraud fighting course of study Interest in preventing, detecting, and stopping fraud and unwanted activities. Experience with analytics methods to identify trends, statistical significance, and anomalies. Comfort working large datasets. Experience using a business intelligence application such as Sigma, Domo, Tableau, or PowerBI to show trends, and present insights that meaningfully help make decisions. Bonus Points: Python, or other programming/scripting, experience for manipulating large datasets. SQL / Snowflake Experience Experience in fraud identification/investigation. The Whole Person Promise: At Bandwidth, we're pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well… Are you ready for an awesome internship experience? At Bandwidth we're all about making your time with us fun and fulfilling! Take a break with our 90-minute workout lunch to energize your day, or roll up your sleeves for some cool volunteer activities that give back to our community. You'll also get to meet and connect with our leaders who can share their wisdom and advice. And let's not forget the fun social activities to bond with your fellow interns! Join us for a summer full of learning, laughter, and new experiences-let's make some great memories together! Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do you feel you can work to help us crush the mission? If you answered ‘yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND. Applicant Privacy Notice

The Data Science Intern will work with a team of data scientists, data engineers, and actuaries. You will learn to apply analytical and software engineering skills to solve business problems arising in mortality risk quantification, insurance pricing, explainable/interpretable machine learning, and ML fairness. Other job function expectations include: using tools such as python, jupyter, git, and communicating outcomes using MS PowerPoint. Responsibilities Participate in an intensive 11-week data science internship and learn how data science is practiced in the industry Work as part of an agile team of data scientists, actuaries, and machine learning engineers Assist data scientists in training/interpreting ML models, and conducting experiments Assist data scientists in writing ML pipelines, while applying SOLID design principles to develop analytics software Assist data scientists in understanding financial impact of machine learning models Research and present a final project to Americas Data Analytics staff Qualifications Pursuing Masters or Bachelor's degree, preferably in a quantitative field (CS, Engineering, Math, Data Science, etc.) Python - should be able to write working python code Probability, statistics, and/or machine learning related coursework Strong academic performance and analytical thinking Hands-on experience with data tools and projects Effective communication and collaboration skills Hybrid work policy - SCOR is committed to an “in-office” culture where people can collaborate, exchange ideas and establish stronger working relationships while still providing flexibility. To support employee work life balance and increase opportunities for employees to excel every day, SCOR operates with a hybrid working arrangement. SCOR employees work 3 days per week in an office with the flexibility to work 2 days per week remotely. Candidates must have valid authorization to work in the U.S. without the need for employer sponsorship now or in the future. Pay Range: $22.00 - 24.00 hourly rate. Actual salaries may vary based on various factors including but not limited to location, experience, role and performance. The range listed is just one component of SCOR's total compensation package for employees.

ATPCO is the world's primary source for air fare content, holding over 200 million fares across 160 countries. Every day, the travel industry relies on ATPCO's technology and data solutions to help millions of travelers reach their destinations efficiently. Join us and contribute to the development of innovative applications that power global travel. ATPCO is everywhere people buy flights. We're not just shaping the future of air travel- we're redefining how and where great work happens. At ATPCO, we believe in flexibility, trust, and a culture where your wellbeing comes first Our Culture: We've built a remote-first culture rooted in trust, transparency, and belonging. With open-door leadership, weekly 1:1s, and real-time recognition, we keep our people connected and valued-no matter where they work. Our cultural pillars of Collaboration, Empowerment, Innovation, Learning, Transparency, and Trust guide how we show up for one another and grow together. Job Description Overview Join our Marketing Analytics team as a Marketing Data Analyst Intern to bridge data, technology, and strategy. You'll collect, organize, and visualize data from key systems like HubSpot, MS Dynamics, and Power BI to uncover insights that inform marketing performance, customer engagement, and growth opportunities. What You'll Do Collect, clean, and analyze marketing and customer data across multiple platforms. Design and maintain dashboards in Power BI and HubSpot to track KPIs and campaign impact. Automate recurring reports and improve data accuracy and reporting workflows. Analyze campaign results, customer journeys, and lead performance to identify trends and opportunities. Translate data into actionable insights and recommendations for the marketing and leadership teams. What You'll Bring Pursuing a degree in Data Analytics, Marketing, Information Systems, or a related field. Proficiency with Power BI (or similar tools), Excel/Sheets, and basic data cleaning. Familiarity with HubSpot CRM, MS Dynamics, or marketing analytics platforms. Strong analytical mindset with curiosity to connect data insights to business outcomes. Bonus: experience with SQL, workflow automation (Zapier/Make), or marketing KPI Additional Information At ATPCO, we are deeply committed to diversity, equity, and inclusion. Our supportive policies promote work-life balance through flexible work arrangements, and we cultivate a workplace where every employee feels valued, respected, and a true sense of belonging. We consider qualified applicants for employment without regard to race, gender, age, color, religion, national origin, citizenship status, marital status, disability, sexual orientation, protected military/veteran status, gender identity or expression, genetic information, marital status, medical condition, or any other legally protected factor All your information will be kept confidential according to EEO guidelines.

Opportunity: The Healthcare Data Intern role presents an exceptional opportunity for individuals looking to gain healthcare and data analytics experience. Joining LBMC means being part of a collaborative team of data and healthcare experts, where you will drive innovative solutions and make significant contributions to our clients' success. As an LBMC Healthcare Data Intern, you will engage in diverse healthcare consulting advisory and data projects, collaborating directly with small private practices, hospitals, health systems, and private equity-backed provider groups. Your daily work will directly impact our clients' outcomes, offering a rewarding environment where no two weeks are alike. With our team's expertise, diverse client base, and aggressive growth plans, this role provides opportunities for professional growth, with high-performing individuals on a clear path to convert to a full-time employee. This role has the ability to be in our Nashville or Knoxville, Tennessee office locations. Responsibilities: * Provide advisory support to healthcare clients seeking guidance on operational improvement, revenue optimization, industry benchmarking, and more. * Support coding and compliance reviews through robust analytics, ensuring regulatory adherence and revenue optimization. * Conduct comprehensive buy and sell-side healthcare due diligence, providing valuable insights for informed decision-making. * Prepare client deliverables, ensuring high-quality outputs, and adherence to project timelines. * Design and implement scalable data models and pipelines using modern data engineering practices. * Optimize SQL queries and data processing workflows for performance and reliability. Qualifications: * Bachelor's degree in a relevant field or working toward a bachelor's degree (e.g., Healthcare Administration, Business Analytics, Accounting, Finance). * Proficiency in building robust Excel models and Microsoft Power BI dashboards. * Familiarity with cloud-based platforms and processes, including but not limited to, data ingestion, modeling, and data analytic/visualization components. * Familiarity with SQL with experience in query optimization and database design. * Excellent communication and interpersonal skills, capable of effectively engaging with diverse stakeholders and presenting findings to executive audiences. Preferred Qualifications: * Snowflake and/or Databricks experience with modern cloud data platforms. * Private equity or financial services background - understanding of investment data, portfolio management, or financial reporting. * Python programming skills for data manipulation, automation, and analytics. * Experience with additional Azure services (Synapse, Logic Apps, Power Platform). * Knowledge of data governance and compliance frameworks. Join the LBMC team and help shape the future of healthcare consulting, data analytics, and AI!

Summary/Objective Data Analytics Summer Intern needed to support the Finance team with data-driven analysis. This internship offers a hands-on opportunity to apply coding, statistical, and visualization skills to solve real-world banking challenges. Working closely with Finance leaders, the intern will help enhance reporting capabilities, streamline data processes, and provide insights that drive strategic and financial decision-making. Essential Functions Query, clean, and transform large datasets using SQL, Python, or R Build dashboards and visualizations (Power BI or similar) to monitor and communicate key performance metrics Develop and automate reporting solutions to improve efficiency and accuracy in reporting processes Present technical findings in a clear, business-oriented way to stakeholders Skills/Abilities Proficiency in at least one programming language (SQL, Python, or R required) Detail-oriented, proactive, and eager to solve problems with data Familiarity with statistical methods and applied analytics in business contexts Strong communication skills, with the ability to simplify complex data for non-technical stakeholders Understanding of banking a plus Supervisory Responsibility This position does not have supervisory responsibilities. Work Environment This job operates in an office setting, the opportunity to telework is not available. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Office environment with job duties conducted via telephone, face to face meetings, and on the computer. Physical Demands This position requires manual dexterity, the ability to lift computers, network equipment, files and open cabinets. This position requires bending, stooping or standing as necessary. Travel No travel required for this position. Education and Experience Currently enrolled in a Bachelor's program in Data Analytics, Computer Science, Finance, or a related field. Please note this is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Equal Employment Opportunity/M/F/disability/protected veteran status Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Include shift schedule Not IncludedInclude budgeted hours Not Included