Data science internship jobs in East Ridge, TN

Responsibilities: Provide project planning and coordination for Privacy Impact Assessments Design and implement privacy requirements into key processes and tools across the enterprise Define, Implement, and operate Data Ethics Governance Process Develop, monitor, and report privacy metrics Requirements: 1.Banking or financial services experience 2. Five years of experience or an equivalent combination of education and work experience involving the following: -- Enforcing TCPA, CPRA, GLBA, and CAN-SPAM requirements. --Designing and executing risk assessments. Nice to have: 1.Experience managing project scope and timelines 2. Experience creating dashboards using Qlik or Tableau 3. Exeperience creating workflow and digital forms using Nintex

Responsible for implementing the day-to-day needs of the data governance and data quality program. Participate in recommending and implementing policies and procedures for data governance approved by the Data Governance council and Data Governance team. Identify data quality opportunities and drive compliance with data governance and quality initiatives. Ensure data governance opportunities are identified and addressed throughout the project life cycle. Job Specific Responsibilities and Preferred Qualifications Preferred Qualifications - Remote East Coast Role Strong expertise in SQL with the ability to write, optimize, and troubleshoot complex queries for data extraction, analysis, and reporting. Proficiency in creating, testing, and troubleshooting regular expressions (Regex) for text parsing, validation, and pattern-based data manipulation. Experience with eCommerce analytics, including analyzing performance metrics and delivering actionable insights to improve business outcomes. Hands-on experience with data visualization tools (e.g., Tableau, Adobe Analytics) and preparing clear reports and presentations for leadership and cross-functional teams. Familiarity with cloud-based data platforms such as Snowflake, AWS Redshift, or Google BigQuery; Python for data manipulation and automation is a plus. Demonstrated ability to support data governance initiatives by applying policies, standards, and dashboards to monitor and improve data quality. Strong analytical and problem-solving skills with exceptional attention to detail, accuracy, and data integrity. Major Tasks, Responsibilities, and Key Accountabilities Participates in the execution and implementation of approved data definitions, policies, standards, process data access, and dashboard statistics. Supports requests to change configurations, use, or design of data elements for specific area of influence. Conducts testing and user acceptance of new system functionality. Analyzes and identifies data sources, data, redundancy, and implements processes to remediate data issues and /or data clean-up efforts. Supports governance principles, policies, and stewardship within the business. Assists in the development and distribution of data quality dashboard. Scopes, resources, and manages data quality initiatives. Participates in the review of all system enhancements and new technologies for data needs, use, and redundancies. Nature and Scope Demonstrates skill in data analysis techniques by resolving missing/incomplete information and inconsistencies/anomalies in more complex research/data. Nature of work requires increasing independence; receives guidance only on unusual, complex problems or issues. Work review typically involves periodic review of output by a supervisor and/or direct customers of the process. May provide general guidance/direction to or train junior level support or professional personnel. Work Environment Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds). Typically requires overnight travel less than 10% of the time. Education and Experience Typically requires BS/BA in a related discipline. Generally 2-5 years of experience in a related field OR MS/MA and generally 2-4 years of experience in a related field. Certification is required in some areas.

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

Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Financial Data Analyst at Alpharetta , GA . Role : Financial Data Analyst Location : Alpharetta , GA 30005 / 3 days from Office Hiring Type: Fulltime with Genpact + Benefits Responsibilities Define and execute the product roadmap for AI tooling and data integration initiatives, driving products from concept to launch in a fast-paced, Agile environment. Translate business needs and product strategy into detailed requirements and user stories. Collaborate with engineering, data, and AI/ML teams to design and implement data connectors that enable seamless access to internal and external financial datasets. Partner with data engineering teams to ensure reliable data ingestion, transformation, and availability for analytics and AI models. Evaluate and work to onboard new data sources, ensuring accuracy, consistency, and completeness of fundamental and financial data. Continuously assess opportunities to enhance data coverage, connectivity, and usability within AI and analytics platforms. Monitor and analyze product performance post-launch to drive ongoing optimization and inform future investments. Facilitate alignment across stakeholders, including engineering, research, analytics, and business partners, ensuring clear communication and prioritization. Minimum qualifications Bachelor's degree in Computer Science, Finance, or related discipline. MBA/Master's Degree desired. 5+ years of experience in a similar role Strong understanding of fundamental and financial datasets, including company financials, market data, and research data. Proven experience in data integration, particularly using APIs, data connectors, or ETL frameworks to enable AI or analytics use cases. Familiarity with AI/ML data pipelines, model lifecycle, and related tooling. Experience working with cross-functional teams in an Agile environment. Strong analytical, problem-solving, and communication skills with the ability to translate complex concepts into actionable insights. Prior experience in financial services, investment banking, or research domains. Excellent organizational and stakeholder management abilities with a track record of delivering data-driven products. Preferred qualifications Deep understanding of Python, SQL, or similar scripting languages Knowledge of cloud data platforms (AWS, GCP, or Azure) and modern data architectures (data lakes, warehouses, streaming) Familiarity with AI/ML platforms Understanding of data governance, metadata management, and data security best practices in financial environments. Experience with API standards (REST, GraphQL) and data integration frameworks. Demonstrated ability to partner with engineering and data science teams to operationalize AI initiatives. Why join Genpact? • Lead AI-first transformation - Build and scale AI solutions that redefine industries • Make an impact - Drive change for global enterprises and solve business challenges that matter • Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills • Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace • Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything webuild • Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

We are seeking a highly skilled GIS Data Analyst to support the creation, maintenance, and quality assurance of critical geospatial infrastructure data for enterprise-level Engineering initiatives. This role plays a key part in ensuring the accuracy and reliability of GIS data used across the organization - including compliance-related programs and operational analytics. The ideal candidate is a hands-on GIS professional with strong analytical skills, advanced geospatial editing experience, and the ability to interpret field data into accurate digital representations. PTC (Positive Train Control) and rail experience are preferred but not required. Key Responsibilities Create, modify, and quality-check geospatial infrastructure data for engineering and business operations Utilize GIS tools to ensure accurate topology and track geometry representation Convert field-collected spatial data into a validated digital rail network aligned with organizational standards Review, approve, and promote data change sets submitted by GIS/CAD technicians Conduct regular inventory analysis including track mileage, asset counts, and spatial measurements Collaborate with engineering sub-groups and business partners to support enterprise GIS initiatives Contribute to the preparation, assembly, and deployment of geospatial data to support compliance programs and corporate systems Support continuous improvement by recommending cost-saving initiatives leveraging GIS technologies Assist senior GIS staff in additional GIS responsibilities as needed Required Skills & Qualifications Advanced proficiency with GIS software, ideally ESRI tools (ArcGIS Pro, Desktop, geodatabase editing, topology management) Strong analytical, problem-solving, and data quality assurance capabilities Ability to interpret engineering drawings, field data, and spatial reference materials Familiarity working with infrastructure or utility network datasets Excellent communication and collaboration skills Bachelor's degree required - GIS, Computer Science, Software Engineering, IT, Geography, or related Preferred Qualifications (Nice to Have) Exposure to railroad infrastructure or linear transportation networks Experience supporting Positive Train Control (PTC) data models or compliance initiatives Working knowledge of CAD-to-GIS workflows Experience with Enterprise GIS deployments in large-scale organizations Soft Skills Detail-oriented data stewardship mindset Ability to make informed decisions and manage competing priorities Strong teamwork and communication in a technical environment

Log-Net, Inc provides the finest trade, transportation, and logistics information technology systems via the internet. We currently have a unique opportunity in the areas of international logistics process improvement and trading partner management. Your primary roles would be to support the ongoing deployment of a global logistics solutions and to facilitate the management of all supplier interfaces between our clients, including coordinating and monitoring activity with the trading partners, managing the EDI processes, ensuring quality control standards are maintained and setting and maintaining agreed upon service level of standards. If you enjoy a challenging and fast paced demanding environment with customer interaction, we invite you to take a closer look at this opportunity. Responsibilities Understand the day-to-day issues that our business faces, which can be better understood with data Being the point of contact for EDI and reporting around EDI Successfully onboard and be the point of contact for new trade partners into LOG-NET Compile and analyze data related to business EDI issues Be able to fully understand LOG-NET's platform and the capabilities of it Conducting analysis, presentations, and reports on the supply chain outlook. Developing carrier scorecard reports and analysis. Integrated logistics communication with trade partners and carriers. Coordinating client problem solving and troubleshooting. Self-starter, technical aptitude with an attitude towards learning Qualifications Bachelor's or Master's degree in Logistics, Supply Chain, Statistics, Applied Mathematics, Physics or equivalent experience preferred EDI or API integration experience preferred 0-1 years of Analytical experience Experience with data analytics, SQL, Big Query preferred Experience in international supply chain preferred Authorization to work in the United States is required for this position SALARY RANGE: USD 50,000-70,000

Job Responsibilities: Analyze large financial datasets to extract insights and support business decisions. Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings and recommendations through reports, dashboards, and presentations. Work with data engineers to ensure data quality and pipeline reliability.

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.

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.

We are looking for a Data Scientist with expertise in optimization and forecasting to help improve how we manage labor, staffing, and operational resources across our retail locations. This role is critical in building models and decision-support tools that ensure the right people, in the right place, at the right time - balancing customer service, efficiency, and cost. You will work closely with Operations, Finance, and Store Leadership teams to deliver practical solutions that improve labor planning, scheduling, and demand forecasting. The right candidate will be confident, resourceful, and excited to own both the technical and business-facing aspects of applying data science in a fast-paced retail environment. Responsibilities Build and maintain forecasting models (time-series, machine learning, and statistical) for sales and transactions. Develop and deploy optimization models (linear/mixed-integer programming, heuristics, simulation) to improve workforce scheduling and labor allocation. Partner with operations and finance to translate forecasts into actionable staffing and labor plans that reduce costs while maintaining service levels. Build dashboards and automated tools to track forecast accuracy, labor KPIs, and staffing effectiveness. Provide insights and “what-if” scenario modeling to support strategic workforce and budget planning. Knowledge, Skills, And Abilities Strong foundation in forecasting techniques (time-series models, regression, machine learning) and optimization methods (linear/mixed-integer programming, heuristics, simulation). Proficiency in Python or R for modeling and analysis, along with strong SQL skills for working with large-scale datasets. Knowledge of statistics, probability, and applied mathematics to support predictive and prescriptive modeling. Experience building and deploying predictive models, optimization tools, and decision-support solutions that drive measurable business outcomes. Strong data storytelling and visualization skills using tools such as Power BI, Tableau, or Looker. Ability to translate analytical outputs into clear, actionable recommendations for non-technical stakeholders. Strong collaboration skills with the ability to partner cross-functionally with Operations, Finance, and Store Leadership to drive adoption of data-driven approaches. Ability to work independently and resourcefully, combining technical depth with practical problem-solving to deliver results in a fast-paced environment. Education And Requirements Required: Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Industrial Engineering, Operations Research, or related field. Minimum 2-3 years of professional experience in Data Science or a related area. Strong skills in time-series forecasting (e.g., ARIMA, Prophet, ML-based approaches). Proficiency in optimization techniques (linear programming, integer programming). Strong Python or R programming skills. SQL expertise for large, complex datasets. Strong communication skills with the ability to partner with business stakeholders. Preferred Experience in Retail, Restaurant, and/or Convenience Stores a plus. Experience with cloud platforms (Snowflake, AWS, GCP, Azure). Knowledge of BI tools (Tableau, Power BI, Looker). Physical Requirements Prolonged periods sitting/standing at a desk and working on a computer Must be able to lift up to 50 pounds Parker's is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Parker's does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state, or local laws.

Role: Data Scientist Mode Of Hire: Full Time Key Responsibilities • Data wrangling & feature engineering: Ingest, clean, and transform data from SQL, APIs, and data lakes (e.g., Snowflake, Databricks). Design robust pipelines that feed into analytics and ML workflows. • Data understanding & exploration: Work closely with domain experts to deeply understand the meaning, context, quality, and limitations of available datasets. Translate business questions into data requirements and analytics plans. • Machine learning development: Build, tune, and validate predictive models using scikit-learn, SparkML, XGBoost, or TensorFlow. • Cross-functional partnership: Collaborate with marketing, sales, and product teams to scope business use cases, define success metrics, and integrate models into operational workflows. • Model deployment & MLOps: Deploy and manage models using MLflow, docker and CI/CD pipelines. Implement versioning, testing, performance monitoring, and retraining strategies as part of a robust MLOps practice. • Infrastructure support: Work with data engineering and DevOps teams to maintain and improve model training and deployment infrastructure, including compute resources, workflow orchestration and environment configuration. • Insight delivery: Build clear, actionable reporting and visualizations using tools like Power BI or Tableau. Focus on impact, not just analysis. Skills Required: • Bachelor's degree in Data Science, Computer Science, Engineering, or a related quantitative field. • 5+ years of experience in a data science, ML engineering, or analytics role. • Strong SQL, Python and ML Techniques programming skills. • Experience with Azure Cloud, Databricks, and/or Snowflake. • Experience building and deploying machine learning models in production environments. Hands-on experience with Databricks, including SparkML, and MLflow integration. • Familiarity with MLOps best practices, including version control, model monitoring, and automated testing. • Experience with tools such as Git, MLflow, Docker and workflow schedulers. • Ability to communicate complex technical work to non-technical stakeholders. • Experience with scalable model training environments and distributed computing. Preferred Qualifications • Master's degree in a quantitative or technical discipline. • Experience in financial services, fintech, or enterprise B2B analytics. • Knowledge of A/B testing, causal inference, and statistical experimentation. • Familiarity with GenAI, LLM pipelines, and vector-based retrieval is a plus and platform like Snowflake Cortex.

Overview:PowerSecure's Applications Technology team Functional AI Business Analyst Intern will support our AI buildout initiative aimed at developing innovative, business-driven AI solutions across the organization. This position will work closely with the Functional and Technical teams to identify business use cases for AI, translate requirements into actionable solutions, and help position PowerSecure on the forefront of AI adoption in the energy and manufacturing technology space. Key Responsibilities:- Partner with business stakeholders to gather and document requirements for AI driven process improvements.- Identify opportunities to leverage AI tools to enhance efficiency, automation, and data-driven decision-making.- Collaborate with the Technical AI Intern and development teams to define user stories, workflows, and functional specifications.- Participate in testing, validation, and deployment of AI solutions within business systems such as IFS, Salesforce, and other enterprise applications.- Assist in developing training and communication materials to support adoption of new AI tools.- Contribute to presentations, reporting, and analysis to demonstrate value and impact of AI initiatives. Qualifications:- Currently a Junior or Senior pursuing a Bachelor's degree in Business Administration, Management Information Systems, or related field.- Strong analytical and problem-solving skills with an aptitude for technology and innovation.- Excellent communication and documentation abilities.- Interest in AI, data analytics, and business process improvement.- Ability to work collaboratively in a fast-paced, cross-functional environment. This internship offers hands-on experience at the intersection of business and technology, providing exposure to enterprise systems, AI strategy, and digital transformation initiatives. The candidate will gain valuable insight into how technology enables operational excellence and supports strategic business growth at PowerSecure. The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to assign or reassign duties and responsibilities at any time, based on business needs. This position is not benefits eligible. **Housing will be the responsibility of the intern.** PowerSecure is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law. This position is not open to third parties. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (**************************** notice from the Department of Labor.Operating Company: PowerSecure

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

Division: Power Supply Summary Description: The Business Intelligence Analyst Intern joins a team responsible for gathering, relating, and modeling data that visualize current realities and forecast apparent trends. This internship is designed to be both educational and practical. The intern will be developing analytics applications by applying data visualization and statistical tools to enterprise data for the purpose of facilitating understanding and advancing key mission outcomes. In this role, they will support analytics applications development, from the identification of key business questions through data collection and analyses to delivery of insights to decision-makers. Academic and Trade Qualifications: Must be a current student enrolled at an accredited college or university, pursuing a bachelor's or graduate degree in analytics, statistics, applied mathematics, or related field. Work Experience: Preferred: Experience working in an office environment is desirable Basic statistics, analytics, and visualization methods Programming skills in SQL, and Python or other statistical language Power BI, Azure, Databricks Responsibilities: Collaborate on cross-team efforts on data analytics solutions and visualizations Identify key components that drive business analytics and decision-making Work with large quantities of data Create comprehensive analytical reports Job Knowledge: No electric utility experience is required but expect to learn many facets of the utility business and how cooperatives operate. Abilities and Skills: The ability to analyze and interpret data Data visualization Problem-solving skills Accuracy and attention to detail Ability to work in a team environment Ability to communicate and explain complex concepts, both verbally and in writing, at both a high level and at a technical level depending upon the audience and customer Be curious, research oriented, and a motivated self-learner Possesses a collaborative spirit and a positive attitude Relationships and Contacts: Reports to: Director of Data Analytics. Working Conditions: Normal office working conditions. Company Profile: NCEMC (********************************** is one of the largest generation and transmission cooperatives in the nation and is the power supplier for most of the state's member cooperatives. NCEMC acquires the power it sells to its member cooperatives in a number of ways, including asset ownership and Purchased Power Agreements. North Carolina Electric Membership Corporation provides equal employment opportunities (EEO) to all applicants for employment.

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.

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

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.

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!