Data science internship jobs in Bristol, TN

Responsible for the design, development and administration of transactional and analytical data constructs/structures. Included within those responsibilities are the maintaining data quality, data organization, metadata, and data profiling. Generate information and insights from data sets and identify trends and patterns, and visualize it using Tableau/QuickSight Automate and optimize scripts using python / databricks Work with a team of data analysts, business analysts, and product managers to process information and translate into data insights Skills (must to have) SQL AWS Tableau Python EEO: MindLance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

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.

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

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

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

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

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

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.

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

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

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.

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

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

As a Data Center Quality Inspector I, you provide superb quality control services for our clients. The work includes performing essential inspections of electrical equipment and systems, such as switchgear and substations. Detailed knowledge of mechanical and instrumentation is critical to conduct inspections and interpret electrical drawings and specifications. Attentively, you ensure the equipment and technicians around you comply with company and site safety requirements. You prepare detailed daily reports about your findings, including time tracking and special inspection reports. Diligently, you approve and submit important documents such as Lockout/Tagout (LOTO) requests, team reports, and time tracking reports. You take pride in assuring that our clients receive safely installed and functional equipment every time. If you are an analytical and detail-oriented individual who communicates effectively and prioritizes safety, this could be the position for you! Travel may be required. Responsibilities Ability to read and interpret electrical drawings and specifications. Prepare written documentation such as daily narratives (work reports), special inspection reports, and daily time tracking. Perform inspections of switchgear, standby generators, protective relays, and other electrical distribution components. Submit LOTO requests, review and approve team reports, and time tracking. Ensure compliance with all company and site safety requirements. Benefits Competitive pay, depending on experience. Medical, dental, vision, 401(k) with company match, among other benefits. Holidays and paid vacation time. Extensive learning and development opportunities. Requirements Requirements High school diploma or equivalent. Higher education degree preferred. Minimum of two years of experience inspecting, testing, commissioning, or operating electrical distribution systems. Commercial or naval nuclear experience is strongly desired. OSHA 10-hour Construction Safety training. Commitment to excellence and high standards.

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

Summary/Objective 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.

Company Details BerkleyNet is an innovative workers compensation insurance provider that does all our business online. Our goal? To make doing business “Ridiculously Fast. Amazingly Easy.” Responsibilities As a Business Analyst Intern, you will be assisting the Business Analyst group as a liaison between stakeholders and technology partners to review, analyze and evaluate business systems, operational processes and customer needs to identify opportunities for innovation and collaborate with cross-functional teams to create and implement solutions. In this role, you will participate in tasks, projects or initiatives that involve data entry, analyzing data, collaborating with subject matter experts and research to identify problems, and propose solutions that drive innovation and our organizational goals. Administrative tasks involving issue submissions through Atlassian software User acceptance testing and guide creation Collaborate with end users and stakeholders to assist in development and translation of business requirements for project and supporting deliverables Suggest changes to business stakeholders using data and analytics to support recommendations Manage workload by balancing competing priorities Conduct meetings or presentations informing the business on progress within tasks/projects assigned Effectively communicate insights and plans to cross-functional team members and management Identifies issues and investigate the scope of the issue Participate in cross functional project teams as determined by management Qualifications Microsoft SQL and Excel experience and proficiency strongly preferred Familiar with relational database concepts and client-server concepts Attention to detail Strong documentation skills Analytical and quantitative skills Strong discretion in dealing with confidential and sensitive information Organization, prioritization and customer service skills to effectively follow-up on complex and detailed work activities Experience with setting delivery commitments and meeting expectations Education Relevant field of study and/or equivalent project experience Additional Company Details The Company is an equal employment opportunity employer. We do not accept any unsolicited resumes from external recruiting firms. Additional Requirements • Low level of domestic U.S. travel required (up to 5% of time)