Data science internship jobs in Greenville, NC

Senior Data Analyst to support enterprise-wide data profiling, quality assessment, and analytical initiatives. This role requires strong SQL expertise, advanced analytical thinking, and a solid understanding of data environments across ETL pipelines, Data Warehouses, and Data Marts. The ideal candidate will partner closely with both business and technology teams to translate complex requirements into actionable, end-to-end data solutions. Responsibilities and Requirements: · 8+ years of experience in Business and Data Analysis · Proficiency in SQL · Experience working in Agile teams, including creating business and technical user stories in Jira · Mortgage domain experience (required) · Familiarity with command-line operations, including executing Python scripts and navigating log directories to analyze logs · Strong analytical skills with the ability to interpret disparate data sources, distill complex information, and generate actionable insights · Ability to translate non-technical business requirements into technical rules or methodologies · Ability to quickly learn business operations and processes · Strong communication skills, capable of articulating complex concepts to diverse audiences · Flexibility and adaptability to adjust plans based on evolving business needs · Contribute to the buildout of strategic, scalable data platforms in partnership with business and technology stakeholders · Partner with client analytics teams to understand business-specific data sources, elements, and relationships · Translate high-level business requirements into complete, end-to-end analytical solutions · Identify opportunities for advanced analytics and reporting across business-aligned testing teams · Collaborate with clients to expand capabilities in machine learning, natural language processing, and automation · Conduct exploratory data analysis to develop a strong understanding of targeted business areas · Work closely with peers, colleagues, and managers to resolve issues and drive project goals If you believe you are qualified for this position and are currently in the job market or interested in making a change, please email me the resume along with contact details at *******************

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. The candidate MUST have experience designing and building data infrastructure, developing data pipelines, transforming and preparing data, ensuring data quality and security, and monitoring and optimizing systems. The candidate MUST have extensive experience with Python and AWS. Experience with SQL, multi-data source queries with database technologies (PostgreSQL, MySQL, RDS, etc.), NiFi, Git, Elasticsearch, Kibana, Jupyter Notebooks, NLP, AI, and any data visualization tools (Tableau, Kibana, Qlik, etc.) are desired. Required Skills and Demonstrated Experience Demonstrated experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems. Demonstrated experience with data management and integration, including designing and perating robust data layers for application development across local and cloud or web data sources. Demonstrated work experience programming with Python Demonstrated experience building scalable ETL and ELT workflows for reporting and analytics. Demonstrated experience with general Linux computing and advanced bash scripting Demonstrated experience with SQL. Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS Demonstrated experience processing data sources containing structured or unstructured data Demonstrated experience developing data pipelines with NiFi to bring data into a central environment Demonstrated experience delivering results to stakeholders through written documentation and oral briefings Demonstrated experience using code repositories such as Git Demonstrated experience using Elastic and Kibana Demonstrated experience working with multiple stakeholders Demonstrated experience documenting such artifacts as code, Python packages and methodologies Demonstrated experience using Jupyter Notebooks Demonstrated experience with machine learning techniques including natural language processing Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats Demonstrated experience developing tested, reusable and reproducible work Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics Desired Skills and Demonstrated Experience Demonstrated experience with cloud services, such as AWS, as well as cloud data technologies and architecture. Demonstrated experience using big data processing tools such as Apache Spark or Trino Demonstrated experience with machine learning algorithms Demonstrated experience with using container frameworks such as Docker or Kubernetes Demonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache Superset Demonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fields Location: McLean, Virginia This position is onsite and there is no remote availability. Clearance: 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.

Title: Principal Data Scientist with Gen AI Contract: W2 Exp: 10+ Duration: Long Term Interview Mode: In-Person interview Call Notes: Looking for a Principal Data Scientist with strong focus on Generative AI (GenAI) with expertise in Machine Learning transitioned into GenAI. Need someone with good experience in RAG, Python- Jupyter, other Software knowledge, using agents in workflows, strong understanding of data. Someone with advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multi-modal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments. Highly preferred for someone who can built AI agent, MCP, A2A, Graph Rag, deployed Gen AI applications to production. Top Skills: Machine Learning & Deep Learning - Required GenAI - Required Python - Required Rag and/or Graph Rag - Required MCP (Model Context Protocol) and A2A (Agent-to-Agent) is highly preferred Job Description: We are seeking a highly experienced **Principal Gen AI Scientist** with a strong focus on **Generative AI (GenAI)** to lead the design and development of cutting-edge AI Agents, Agentic Workflows and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multi-modal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments. You will serve as a hands-on Gen AI (data) scientist and critical thought leader, working alongside full stack developers, UX designers, product managers and data engineers to shape and implement enterprise-grade Gen AI solutions. Key Responsibilities: * Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases. * Develop, fine-tune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives. * Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases. * Curate enterprise data using connectors integrated with AWS Bedrock's Knowledge Base/Elastic * Implement solutions leveraging MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication. * Build and maintain Jupyter-based notebooks using platforms like SageMaker and MLFlow/Kubeflow on Kubernetes (EKS). * Collaborate with cross-functional teams of UI and microservice engineers, designers, and data engineers to build full-stack Gen AI experiences. * Integrate GenAI solutions with enterprise platforms via API-based methods and GenAI standardized patterns. * Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment. * Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLM-powered workflows-leveraging best practices like semantic chunking and privacy controls * Orchestrate multimodal pipelines** using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows appropriate for unstructured media * Implement embeddings drives-map media content to vector representations using embedding models, and integrate with vector stores (AWS KnowledgeBase/Elastic/Mongo Atlas) to support RAG architectures Required Qualifications:** * 10+ years of experience in AI/ML, with 3+ years in applied GenAI or LLM-based solutions. * Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases (e.g., AWS KnowledgeBase / Elastic), and multi-modal models. * Proven experience with cloud-native AI development (AWS SageMaker, Bedrock, MLFlow on EKS). * Strong programming skills in Python and ML libraries (Transformers, LangChain, etc.). * Deep understanding of Gen AI system patterns and architectural best practices, Evaluation Frameworks * Demonstrated ability to work in cross-functional agile teams. * Need Github Code Repository Link for each candidate. Please thoroughly vet the candidates. **Preferred Qualifications:** * Published contributions or patents in AI/ML/LLM domains. * Hands-on experience with enterprise AI governance and ethical deployment frameworks. * Familiarity with CI/CD practices for ML Ops and scalable inference APIs.

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.

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).

Job Title: Data Scientist - AI and strong in Python Employment Type: Contract/ Contract-To-Hire About Smart IT Frame: At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together. Overview: We are looking for an experienced Data Scientist who can design develop and deploy advanced AIML models and datadriven solutions The ideal candidate will have strong expertise in machine learning deep learning LLMs and cloudbased data platforms along with handson experience in data engineering vector databases and endtoend deployment Required Technical Skills Programming Python Pandas NumPy Scikitlearn PyTorch TensorFlow SQL AIML Frameworks LangChain Hugging Face LlamaIndex Cloud Platforms AWS SageMaker Azure ML GCP Vertex AI Databases SQLNoSQL Vector DBs Pinecone Milvus Weaviate Deployment Docker Kubernetes Helm MLOps Tools MLflow Kubeflow Airflow Visualization Power BI Tableau Matplotlib Plotly Preferred Qualifications Experience with LLM finetuning and prompt engineering Knowledge of distributed computing and GPU acceleration Familiarity with data privacy regulations and responsible AI principles Mandatory Skills: Python - Data Science

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.

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

Data Analyst/Programmer- Intermediate The contractor's Data Analyst/Programmer - Intermediate develops specifications for software programming applications and modifies/maintains the existing software. The Analyst/Programmer develops, modifies, and maintains applications that may be customized or standardized. Supervisory Responsibilities: None. Duties/Responsibilities: This position participates in design and coding activities with other staff members. Specific duties shall include, but are not limited to the following: Product visualization. Algorithm development. System scaling. Develop, test and implement new software programs Clearly and regularly communicate with management and technical support colleagues Design and update software database. This includes, but is not limited to: Software Applications, Web Sites, Data Communication Processes and User Interfaces Test, maintain and recommend software improvements to ensure strong functionality and optimization Independently install, customize and integrate commercial software packages Facilitate root cause analysis of system issues Work with experienced team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing Identify ideas to improve system performance and impact availability Resolve complex technical design issues Development of technical specifications and plans Analyze user requirements and convert requirements to design documents Make good technical decisions that provide solutions to business challenges Ensure data input and output is possible on commercial mobile and desktop platforms as well as on Government operating systems. Work with designated military, civil service and subcontractors associated with designated units, to identify data management needs and create needed tools and instruments to support their requirements. Data Analyst/Programmer- Intermediate Demonstrate the ability to track routine training and evaluations, to include physical and psychological assessments. Provide a data management service that enables coaches and supervisors the ability to add notes into the database. Contractor shall ensure identified and approved personnel have access to these notes. Able to evolve with the Government as requirements and technology changes. Provide initial skills and ongoing training to data management system users. Develop reports and custom requests for users. Assist with application and user support when needed. Test programs or databases, correct errors, and make necessary modifications. Specify users and user access levels for each segment of the OHWS selected software program. Train users and answer questions. Designs/codes applications following specifications using the appropriate tools. Maintains and modifies existing applications without supervision as well as under direction from senior staff members. Performs maintenance programming for existing version. Performs custom programming at customer request. Assumes responsibility for ongoing data architecture for product. Required Skills/Abilities: Proficient understanding and working knowledge of computer, e-mail, voice mail, and telephone texts to perform duties. Proficient with Microsoft Word, Excel, and PowerPoint. Able to obtain a Secret Security Clearance. Education and Experience: The Data Analyst/Programmer- Intermediate shall have appropriate level(s) of education to perform the required function -at a minimum, shall: Possess a Bachelor's degree in Health and Exercise Science, Kinesiology or an equivalent degree with 3+ years of experience supporting software development; or Bachelor's degree in Computer Science, Information Technology or equivalent degree with 3+ years of experience supporting human performance software development

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. 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.

Cornerstone Building Brands is a leading manufacturer of exterior building products for residential and low-rise non-residential buildings in North America. Headquartered in Cary, N.C., we serve residential and commercial customers across the new construction and Repair & Remodel (R&R) markets. Our market-leading portfolio of products spans vinyl windows, vinyl siding, stone veneer, metal roofing, metal wall systems and metal accessories. Cornerstone Building Brands' broad, multi-channel distribution platform and expansive national footprint includes more than 18,800 team members at manufacturing, distribution and office locations throughout North America. Corporate stewardship and Environmental, Social and Governance (ESG) responsibility are embedded in our culture. We are committed to contributing positively to the communities where we live, work and play. For more information, visit us at cornerstonebuildingbrands.com. Job Description About the Role This internship is for Summer 2026. We are seeking a detail-oriented Data Analyst Intern to support our NFRC (National Fenestration Rating Council) thermal simulation and certification processes. In this role, you will work closely with our engineering and product development teams to analyze thermal performance data for windows and doors, validate simulation results, and ensure compliance with industry standards. This internship provides hands-on experience at the intersection of data analytics, building performance, and sustainable product development. What You'll Do * Assist in running, processing, and interpreting NFRC thermal simulation results (U-factor, SHGC, VT, condensation resistance). * Collect, organize, and analyze simulation data using Excel, Python, or other data analysis tools. * Collaborate with engineers to validate results and identify trends or discrepancies. * Support documentation required for NFRC certification submissions. * Develop reports, dashboards, and visualizations to clearly communicate simulation outcomes to internal teams. * Conduct benchmarking studies against competitor or industry performance data. * Provide insights that support R&D, product design, and energy efficiency initiatives. Qualifications What You Need * Currently pursuing a Bachelor's or Master's degree in Data Analytics, Mechanical Engineering, Materials Science, Building Science, or a related field. * Strong analytical and quantitative skills with attention to detail. * Experience with data analysis and visualization tools (Excel, Python, R, MATLAB, or similar). * Familiarity with building performance concepts such as thermal transmittance, solar heat gain, and energy efficiency. * Excellent communication skills and ability to present technical findings clearly. * Exposure to fenestration thermal simulation software (e.g., THERM, WINDOW, or equivalent) preferred. * Knowledge of NFRC standards, ENERGY STAR, or ASHRAE guidelines preferred. * Experience with statistical analysis, regression modeling, or performance benchmarking preferred. * Understanding of sustainability and green building certifications (e.g., LEED, Passive House) preferred. Additional Information WHAT YOU'LL GET * Competitive pay * Inclusive, collaborative environment * Bragging rights - you'll work for the market leader in multiple product categories * Professional development opportunities * Intern buddy Why work for Cornerstone Building Brands? Our teams are at the heart of our purpose to positively contribute to the communities where we live, work and play. Full-time* team members receive medical, dental and vision benefits starting day 1. Other benefits include PTO, paid holidays, FSA, life insurance, LTD, STD, 401k, EAP, discount programs, tuition reimbursement, training, and professional development. * Full-time is defined as regularly working 30+ hours per week. Union programs may vary depending on the collective bargaining agreement. Cornerstone Building Brands is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, or status as a protected veteran. You can find the Equal Employment Opportunity Poster here. You can also view Your Right to Work Poster here along with This Organizations Participation in E-Verify Poster here. If you'd like to view a copy of the company's affirmative action plan for protected veterans or individuals with disabilities or policy statement, please contact Human Resources at ************ or *******************************. If you have a disability and you believe that you need a reasonable accommodation in order to search for a job opening or to submit an online application, please contact Human Resources at ************ or *******************************. This email is used exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only emails received for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response. All your information will be kept confidential according to EEO guidelines. California Consumer Privacy Act (CCPA) of 2018 Must be at least 18 years of age to apply. Notice of Recruitment Fraud We have been made aware of multiple scams whereby unauthorized individuals are using Cornerstone Building Brand's name and logo to solicit potential job-seekers for employment. In some cases, job-seekers are being contacted directly, both by phone and e-mail. In other instances, these unauthorized individuals are placing advertisements for fake positions with both legitimate websites and fabricated ones. These individuals are typically promising high-paying jobs with the requirement that the job-seeker send money to pay for things such as visa applications or processing fees. Please be advised that Cornerstone Building Brands will never ask potential job-seekers for any sort of advance payment or bank account information as part of the recruiting or hiring process.

Summary/Objective Temporary part-time intern needed to perform data analytic duties for the bank's operations organization. Essential Functions Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Assist department with special projects as assigned Import, scrub, export, profile, verify, sort, group, combine and sample data Develop analytical scripts for assigned project Document results of analytical testing Create visualization reports for results of analytical project Skills/Abilities Professional written and verbal communication skills High level of professionalism Highly organized with attention to detail Ability to follow instructions and work independently on multiple tasks. Computer experience required, with working knowledge of Microsoft Word, Excel, and Outlook General knowledge of data analytic scripting preferred 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 files and open cabinets. This position requires bending, stooping or standing as necessary. Travel Limited local travel may be required for this position. Education and Experience Current undergraduate student, preferably majoring in data analytics or a related field. 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.