Data science internship jobs in Kennesaw, GA - 335 jobs

**_Candidates are encouraged to apply to 3 or fewer internship roles during a given internship recruiting cycle_** Overview (2-3 sentences):** As a Summer Data Analyst Intern on the ARTD (Alcohol Ready to Drink) Global Development and Innovation team, you will support the team by analyzing consumer, market, product, and supply chain data to inform strategic decision‑making and innovation within the global ARTD category. You will assist with gathering, cleaning, analyzing, and visualizing data to improve how insights are generated and shared across the team. In addition to innovation and consumer analytics, the intern will also support supply chain by helping with shipment creation, extracting and analyzing delivery performance data at a lane level, and presenting findings to stakeholders. This role will work closely with cross‑functional partners across product development, supply chain, and analytics, offering hands‑on exposure to how data supports both innovation and operational performance in a fast‑paced environment. **Function Related Activities/Key Responsibilities: (Top 5-8 core responsibilities):** Collect, clean, and organize consumer, market, sales, and product data from internal and external sources to support analysis and reporting. Analyze performance trends within the ARTD category. Build and maintain basic dashboards, charts, and visualizations that communicate insights clearly. Assist with consumer insights analysis by summarizing survey data, concept tests, or usage & attitude research. Document analytical processes, assumptions, and findings to promote consistency, clarity, and knowledge sharing. Prepare concise summaries and presentations translating data into insights, learnings, and recommendations for internal stakeholders. **Education Requirements:** + Must be currently pursuing a Bachelor's or Master's degree in Data Science/Analytics, Statistics, Business Analytics, Marketing Analytics, Economics, Computer Science, or related field or have graduated from their degree program no earlier than December 2025. **Related Work Experience:** + Supply chain experience is a plus + Experience conducting analysis for large organizations is a plus **Functional Skills:** + Data cleaning and preparation + Data analysis and visualization (Tableau, Power BI, Excel) + Translating data into insight and recommendations + Problem-solving mindset + Comfort with ambiguity + Able to work with evolving questions and incomplete data **Compensation:** + Monthly Salary (undergraduate): $4,506 + Monthly Salary (graduate): $6,066 Location: Atlanta, Georgia Dates of Internship: May 18 - July 31, 2026 The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

Data Scientist Are you seeking to grow and enhance your technical career to new heights, in a full-time, W-2 opportunity? What if an organization existed solely for the purpose of investing in YOU, being of service to YOU, showing you how, and supporting you every step of the way? Is a customized and personalized approach to your learning journey, career development, and overall ability to maximize your earning potential important to you? Let's make it happen - together! What's In It For YOU? Full time, W-2 employment, with FREE, paid 9 week training in React Native development (an Industry-Proof Technology) at our headquarters in Atlanta, GA Complete and total support post training to secure and thrive while working for end-clients Paid corporate-sponsored housing during above mentioned training Relocation assistance for training and all projects, as needed Robust W2 employee benefits Full coverage medical, dental, vision insurance coverage through Cigna Open Access POS plans 401K eligibility after one calendar year of employment, 3% company match Basic life/AD&D, Dependent Disability (short/long term) coverage Work visa sponsorship for Foreign Nationals Opportunity for nationwide U.S. travel Company-sponsored technical certifications, as necessary, per technology Learn to become a best-in-class engineer, developer, and consultant Development in proven soft skills and interviewing skills methods An expert technical engineer development program Project deliverable support (once on project) Exposure to a breadth and depth of best-practice production environments, code bases, and tech stacks with 100's of industry-leading end clients Opportunities to assist our end clients across multiple states architect, test, deploy, maintain, document, and scale upward Who Are We? First - we're a top-tier IT consulting firm, providing best-in-class React Native Development solutions for companies across an array of industries including finance, energy, ecomm, logistics, travel, retail, entertainment, auto, and healthcare. We serve many end clients, some of which include Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonalds, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, Charles Schwab...just to name a few! As a consultant, this means you, too, will have these well-known, industry-leading end-client experiences when you join our team! Second - we're a people development firm. When you join our organization, you come to us with the required foundational technical skills, coding ability, educational degree, and general understanding that will serve as a foundation to learning React development. It's our mission to mentor, develop, and train you, as mentioned above, to learn React development, so you can then gain experience and provide world-class consultative services to our end clients. Company Highlights Our Expertise: IT consultative services and quality engineer development through recruiting, hiring, and coaching our consultants Longevity: 25+ years of combined domestic and international experience in IT consulting Depth: Hundreds of Fortune 1000, 500, and innovative start-up end clients with 1000's of successfully completed and on-going projects across the US, EU, and UK Global Reach: Employee work force is diverse, spanning across 4 continents of North America, Europe, South America, and Asia Growth & Innovation: Active monitoring and measurement of the market across all technological sectors to adapt to and implement what's "next” How We Will Help You Teach and Develop: We will instruct and train you in React Native development to become a best-in-class consultant through our proven method and program, capable of delivering end-client deliverables, through our paid, 6-8-week training course Customized Support: Several teams will be ready to support and collaborate with you in a custom-tailored way; this includes our teams of Development Managers, Tech Subject Manager Experts, Project Deliverable Support, Corporate Trainers, Interview Coaches, Client Placement Specialists, and Immigration Specialists (for our foreign national candidates) Project Placement: Our dedicated market-expertise sales team will help you seek, secure and maintain a project with our myriad end clients Career Growth: You will gain the necessary industry experience to drive and propel your technical profession forward for many years to come! What You Bring to the Role Master's degree from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Econometrics, or related fields, PhD is preferred. Alternatively, Bachelor's Degree with at least 2 years' experience as a Data Analyst, Data Scientist, or Research Assistant 5+ years of work history with 2 of the 5+ years being in an IT related role. Strong Proficiency in Python or Java programming language, or expertise with functional/object- oriented programming. Ability to translate objectives to a project plan with milestones, and resource/technology requirements, and teach, lead, and manage projects/people/clients to successful execution Ability to work across multiple engagements with clients to assess needs, provide assistance, and resolve problems, using structured problem solving and communication to both technical and non- technical audiences Availability to travel (80% after Training portion) and live in the U.S Strong English written and verbal communication skills Nice-to-have: Experience with command-line scripting, data structures and algorithms and ability to work in a Linux environment, processing large amounts of data in a cloud environment Experience in machine learning, artificial intelligence and/or artificial neural networks o Proficiency in applying various mathematical and statistical models to include, but not limited to: discrete event simulation, factor analysis, genetic algorithms, Bayesian probability models, hidden Markov models, sensitivity analysis, sampling, probability, multivariate data analysis, regression, PCA, time-series analysis o Broad understanding of databases (e.g. SQL, NoSQL, Lucene, Mongo), and high-performance or distributed processing (e.g. using MapReduce, Spark, Pig, and/or Hive) o Experience with visualization software (Tableau, D3, MicroStrategy, PowerBI) o Experience delivering solutions in an Agile environment o Experience with Tensorflow, Theano or Keras o Portfolio of public & private data science projects you're proud of (GitHub, Kaggle, DrivenData, etc.) o Publications in peer-reviewed journals o Other programming languages such as Scala, Java, R

**Data Scientist - Advanced Metering Infrastructure (AMI) Analytics** Alabama Power Company Corporate Headquarters - Birmingham, AL Georgia Power Company Corporate Headquarters - Atlanta, GA Mississippi Power Corporate Headquarters - Gulfport, MS **Job Summary:** The Data Scientist within APC Power Delivery's AMI Analytics team plays a strategic role in advancing data-driven decision-making and operational efficiency across business units. This position blends analytical depth, technical expertise, and business insight to deliver scalable AI solutions that support AMI initiatives. The successful candidate will lead data science efforts, assess feasibility of advanced analytics use cases, and establish robust frameworks for AI deployment and monitoring within the AMI data domain. **Key Responsibilities:** AI/ML Strategy & Use Case Development - Identify and evaluate AI/ML opportunities aligned with AMI business objectives. - Stay current on emerging technologies and educate the team on their practical applications. **Algorithm Design & Model Optimization** - Develop and refine machine learning models to solve complex problems using enterprise-scale data. - Continuously adopt new tools and techniques to enhance model performance and scalability. **Framework Development & MLOps Integration** - Architect and implement an AMI-specific AI development framework under the AMI Governance Committee. - Integrate MLOps practices for seamless cloud deployment, monitoring, and lifecycle management. - Collaborate with cross-functional teams to provision ETL workflows and CI/CD pipelines. **Documentation & Reporting** - Produce clear, comprehensive documentation to support transparency, reproducibility, and stakeholder communication. **Collaboration & Mentorship** - Partner with end-users to understand analytical needs and co-create data-driven solutions. - Mentor team members to foster skill development and promote a culture of continuous learning. **Job Requirements: Education & Experience** - Master's degree in Computer Science, Mathematics, Statistics, Data Analytics, Data Science, Machine Learning, or Artificial Intelligence. - Minimum 5 years of experience in a technically focused, data-driven environment building supervised and unsupervised Machine Learning models. **Knowledge, Skills & Abilities:** - Programming & Data Engineering: Proficient in Python and R; working knowledge of Spark, Pandas, T-SQL, and PL-SQL. - Model Development: Skilled in building predictive and prescriptive models, feature engineering, and ML algorithms. - Cloud & Integration: Experience with Azure-based ML deployment, data migration, and integration across diverse datasets. - Generative AI & LLMs: Familiarity with Generative AI and Large Language Models; hands-on experience is a plus. - Debugging & Optimization: Strong analytical skills for monitoring and troubleshooting data pipelines and solutions. - Communication & Influence: Ability to translate technical concepts into actionable business insights and influence decisions across organizational levels. - Consulting & Collaboration: Proven ability to work cross-functionally and deliver strategic recommendations through data storytelling. - Learning & Adaptability: Self-driven learner with awareness of industry trends and emerging technologies. - Multitasking & Prioritization: Capable of managing multiple projects, adapting to shifting priorities, and delivering results in a dynamic environment. **Behavioral Attributes:** The ideal candidate will embody Southern Company's core behaviors of Unquestionable Trust, Superior Performance, and Total Commitment, and demonstrate: - Innovation and results orientation - Strategic thinking with an enterprise mindset - Commitment to continuous improvement and development of others - Strong partnership-building skills - Ability to work independently and collaboratively - Decisiveness and agility - High ethical standards - Being on-site at the HQ office 4 days a week. Alabama Power provides safe, reliable, and affordable electricity to 1.5 million customers across the lower two-thirds of Alabama. For more information, visit ******************** and connect with the company on Facebook (Facebook.com/AlabamaPower), Twitter (Twitter.com/AlabamaPower), LinkedIn (Linkedin.com/company/alabama-power), and Instagram (Instagram.com/alabamapower). Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit *********************** . Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here **************************************************** . Additional and specific details about total compensation and benefits will also be provided during the hiring process. Southern Company 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. Job Identification: 16309 Job Category: Data Analytics Job Schedule: Full time Company: Alabama Power

Summer 2026 Internship Interviews begin January 2026 | Offers extended in March | Start date projected for May Location: This internship will be based at one of Waystar's four basecamp locations, offering an in-person experience designed to foster collaboration and hands-on learning. WHAT YOU'LL DO Waystar is seeking a curious, analytical, and detail-driven Data Analyst Intern to join our Summer 2026 Internship Program. This opportunity is ideal for students who love working with data, uncovering insights, and solving complex problems that drive smarter decisions in the healthcare technology space. As a Data Analyst Intern, you'll collaborate with cross-functional teams to support data-driven initiatives across the organization. What You'll Gain: * Exposure to healthcare data and analytics tools * Hands-on experience with data visualization, reporting, and trend analysis * Opportunities to work on meaningful projects that inform strategic decisions * Mentorship from experienced analysts and collaboration across departments WHAT YOU'LL NEED Program Timeline The interview process for Summer 2026 internships will begin in January 2026, with offers expected to be extended in March. Interns will officially onboard in May, aligning with the start of the summer program. ABOUT WAYSTAR Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter. WAYSTAR PERKS * Competitive total rewards (base salary + bonus, if applicable) * Customizable benefits package (3 medical plans with Health Saving Account company match) * We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays * Paid parental leave (including maternity + paternity leave) * Education assistance opportunities and free LinkedIn Learning access * Free mental health and family planning programs, including adoption assistance and fertility support * 401(K) program with company match * Pet insurance * Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Must Have Technical/Functional Skills * Programming & Technologies: Proficient in Python, SQL, and R coding languages coupled with expertise in Domo, SAS, and web development languages. Adept in leveraging cloud technologies including AWS, Azure, and Hadoop ecosystems for scalable data solutions. * Advanced Modeling: Skilled in utilizing techniques like PCA, Lasso, and Elastic Net for feature selection, and deploying machine learning algorithms such as Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM for high-impact results. * Data Visualization & Data Storytelling: Adept at designing visually appealing data presentations and utilizing data storytelling techniques to effectively communicate insights. Proficient with Domo, Tableau, PowerBI, D3.js, and Matplotlib for creating data visualizations and dashboards. Experienced in transforming complex findings into actionable insights and narratives that resonate with diverse audiences. * Palantir & Skywise experience is a plus point Roles & Responsibilities * Design and implement predictive models and machine learning algorithms to solve business problems. * Perform feature selection using techniques such as PCA, Lasso, and Elastic Net. * Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM. * Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions. * Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib. * Communicate insights through compelling data storytelling for diverse stakeholders. * Collaborate with cross-functional teams to integrate data solutions into business processes. Salary Range-$100,000-$140,000 a year #LI-KR3 TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: * Award-winning culture * Inclusion and diversity as a priority * Performance Based Incentive Plans * Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability * Generous PTO (including paid time to volunteer!) * Up to 9.5% 401(k) employer contribution * Mental health support * Career advancement opportunities * Student loan repayment options * Tuition reimbursement * Flexible work environments * All the benefits listed above are subject to the terms of their individual Plans. And that's just the beginning… With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! General Summary: This position for a developing data scientist who is excited to transform data into actionable insights and impact the business through his/her work. The role requires increasing technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on developing business knowledge. The individual will participate in project work primarily within the functional area, with direction and review by manager. The individual is expected to continuously increase business knowledge and take initiative in identifying and executing analytical approaches to support assigned projects. Job Specifications * Bachelor's degree in quantitative field is preferred * 2 years preferred of professional experience or equivalent relevant work experience * Core Data Science Capabilities: Deep expertise in at least one of the following skillsets preferred, with basic capability in the others: * Programming & Process automation: Experience using APIs, file I/O, database, and analysis libraries. Understanding of programming in jupyter notebooks and/ or statistical packages. Understanding of process mapping and demonstrated application of scripting languages to automate processes. Exposure to data mining and web scraping. * Data Visualization: Working knowledge of two or more data visualization tools and proficiency in static data visualization. Basic understanding of dynamic data visualization * Statistics & Statistical modeling: Solid understanding of statistical inference and regression. Basic understanding of machine learning techniques including random forests and neural nets. Basic understanding of feature selection and extraction which may include analysis of categorical data, multiple comparisons, Central Limit Theorem, bootstrapping, and permutation tests * Data Extraction, Transformation, and Loading (ETL) skillsets preferred: Expertise in writing complex SQL queries that join multiple tables/databases. Given a business problem, independently explore databases/tables to identify best data sources. Demonstrates ability to troubleshoot complex SQL queries written by others with little guidance. * Core business capabilities: basic communication skills, exposure to financial services industry, and attention to detail and ability to prioritize while working on multiple projects keeping track of due dates * Leadership Capabilities: Ability to coach or mentor team members, respond quickly and positively to change, adheres to technical best practices by collaborating with team members to deliver high quality output * Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Basic understanding of their organization. Principal Duties and Responsibilities * Design and execute analytical solutions using statistical, optimization, simulation and data mining methods with a focus on delivering actionable insights and partnership to deliver business value. * Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets and perform analyses * Apply validation, aggregation and reconciliation techniques to create rich modeling-ready data framework. * Construct predictive models using machine learning to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering. * Familiarity with AI agents like github co-pilot, MS co-pilot to speed through code development and self - learning. * Knowledge of working with LLMs and agent libraries like Langgraph. Langchain & OpenAI SDK. * Efficiently interpret results and communicate findings and potential value to manager. * Support integration of solutions within existing business processes using automation techniques. * Understand theory and application of current and emerging statistical methods and tools. * Knowledge of tools - Python, VS code, Databricks, Azure, AWS, Streamlit, tableau, SQL * Perform other related duties as assigned #LI-TO1 #LI-MULTI IN4 Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide. Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status. The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience. $60,500.00-$123,400.00 Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans. Company: Unum

SummaryAs a Staff Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders. Roles and Responsibilities: Design, develop, and deploy machine learning models and algorithms Understand business problems and identify opportunities to implement data science solutions. Develop, verify, and validate analytics to address customer needs and opportunities. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). Ensure efficient data retrieval and augmentation processes to support LLM training and inference. Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models. Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Minimum Qualifications: Bachelor's degree from accredited university or college with minimum of 3 years of professional experience OR an associate's degree with minimum of 5 years of professional experience 3 years of proficiency in Python (mandatory). 2 years' experience with machine learning frameworks and deploying models into production environments Note: Military experience is equivalent to professional experience Eligibility Requirement: Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. Desired Characteristics: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. Experience with handling unstructured data, including images, videos, and text. Understanding of computer vision techniques and tools Ability to work in a fast-paced, dynamic environment. Experience with data preprocessing and augmentation tools. Demonstrated expertise in critical thinking and problem-solving methods Familiarity with cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services Demonstrated skill in defining and delivering customer value. Demonstrated expertise working in team settings in various roles Demonstrated expertise in presentation and communications skills. Experience with deep learning and neural networks. Knowledge of data governance and compliance standards. Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. This role requires access to U.S. export-controlled information. Therefore, for applicants who are not U.S. lawful permanent residents, U.S. Citizens, or have been granted asylee or refugee status (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), employment will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $161,400.00 - $266,300.00 **Target Openings** 1 **What Is the Opportunity?** As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. **What Will You Do?** + Lead business or technical projects focused on the design or development of analytical solutions. + Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. + Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. + Begin to challenge conventional thinking where appropriate. + Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. + Guide technical strategy of teams through own technical expertise. + Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. + Communicate analysis, insights, and results to team, peers, business partners. + Partner with cross-functional teams and leaders to support the successful execution of data science strategies. + Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. + Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Subject matter expertise in modeling/ research/ analytics or actuarial required + Subject matter expertise in value creation and business model concepts + Subject matter expertise in multiple statistical software programs + Ability to develop highly complex models, interpret model results and recommend adjustments + Expertise in advanced statistics underlying data models + Ability to apply emerging statistical procedures to complex work + Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. **What is a Must Have?** + Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. + Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. **What Is in It for You?** + **Health Insurance** : Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. + **Retirement:** Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. + **Paid Time Off:** Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. + **Wellness Program:** The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. + **Volunteer Encouragement:** We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .

Job Description Southeast Restoration (SRG), a faith-based company, is seeking a Data Solutions Intern to support the design and delivery of data solutions across the organization. In this role, you'll learn how data is collected, cleaned, and used to support reporting, analytics, and automation efforts that drive better business decisions. This internship is ideal for a curious, detail-oriented individual who is eager to build foundational skills in data, technology, and problem-solving within a collaborative, purpose-driven environment. Your Impact: Key Responsibilities Assist with data preparation, validation, reporting, and documentation under the guidance of the data and technology team Support the maintenance and updating of dashboards, datasets, and basic automations Learn how data flows between systems and how analytics support business goals and operational decision-making Follow established data standards and processes to ensure accuracy, consistency, and reliability Assist in documentation processes, support knowledge sharing, and assist with basic user or team requests Participate in team meetings, ask questions, and incorporate feedback to grow technical and professional skills Support efforts to reduce manual work and improve efficiency through accurate and well-organized data work Qualifications Currently pursuing a Bachelor's degree in Data Science, Computer Science, Information Systems, Analytics, or a related field (or equivalent coursework or hands-on learning) Strong attention to detail and an interest in working with data accurately and responsibly Curiosity and willingness to learn new tools, concepts, and processes Basic technical aptitude and comfort navigating digital tools and systems Strong communication skills and the ability to ask thoughtful questions Integrity and care when working with sensitive or confidential information Exposure to tools such as Power BI, SQL, Microsoft Learn, Fabric, or similar analytics platforms is a plus but not required. Benefits Competitive Internship Compensation Hands-on learning and mentorship from experienced data and technology professionals Real-world exposure to analytics, automation, and business data use Opportunity to build foundational skills that support long-term career growth Ready to Make an Impact? If you're eager to learn how data drives real business decisions and want hands-on experience in a supportive, values-driven environment, we encourage you to apply. Join Southeast Restoration and begin building meaningful skills that make a difference.

Title: Research & Data Analyst Employee Classification: Professional F/T 52 Wks Unit Department: Institutional Research Salary Range: 67,569 Who we are: We are not-for-profit: St. Louis Community college (STLCC) is a non-profit institution dedicated to empowering students, expanding minds, and changing lives. Employees are committed to strengthening the St. Louis community with inclusive and transformative education. We are a respected employer: For 60 years, STLCC has served the St. Louis community, expanding to 4 main campuses, 2 education centers, 2 workforce training centers, and 5 centers of excellence. More than one-half of the households in St. Louis have at least one member who has taken classes at STLCC. We make an impact in the community: Through credit courses, continuing education, and workforce development programs, STLCC annually serves nearly 69,000 students. More than 80% of career and technical graduates employed in their fields or continue their education at four-year institutions within six months of graduation. STLCC sends more transfer students to Missouri's four-year colleges/universities than anyone else. What you get: Benefits package [for full-time employees]: STLCC offers one of the best benefit packages in the St. Louis area. As a STLCC employee you will have access to a 100% match on your contribution to retirement, two health insurance plans options - including an HSA option, low-cost life insurance with a 3x salary benefit, and other low-cost benefits including dental, vision, AD&D, Short-term & Long-term disability insurance. Opportunity to grow: Over half of our employees have served the college for more than 12 years, exploring different career paths and advancing to higher level positions. Education & training opportunities: STLCC offers tuition waivers for employees [full-time and part-time] + their dependents. Full-time employees can take advantage of tuition reimbursement for other institutions after just 6 months of service, and an annual professional development allotment. Work/life balance: Full-time STLCC employees have access to a generous time off package, including holidays, vacation, personal days, medical leave, and other leave options. Our holiday schedule even includes a paid winter holiday at the end of the calendar year. Commitment to wellness: STLCC HR boasts a dedicated health and wellness specialist who is enthusiastic about creating a culture of wellness throughout the College. With access to college wellness vendors, employees are educated, motivated, and rewarded for healthy behaviors. STLCC employees and anyone living in their household also have access to an employee assistance program (EAP) that can help them with virtually any life need. The basics of this position: Position provides technical expertise within the research department to produce specifications, documentation, and training in development and structure of the data warehouse, the business intelligence decision support system, and other technical solutions. Serves as the lead department liaison with information technology in implementing and maintaining department technology. Position extracts, transforms, analyzes, and reports institutional data using various software tools and processes to meet reporting needs of the institution. Responsible for the validation of department reports and developing/maintaining reporting standards to ensure data accuracy and report functionality. Collaborates with functional units of the college to improve efficiency, effectiveness, and integrity with regards to data gathering, reporting systems, and analysis. The Research & Data Analyst supports the College's mission by transforming institutional data into meaningful insights for planning, decision-making, and continuous improvement. This position helps maintain and enhance the College's reporting tools, develops user-friendly reports, ensures data accuracy, and collaborates with departments across the College to improve how data is gathered, managed, and used. What you'll do: • Serves as department technical expert by maintaining expertise on current database, business intelligence tools, and other software used within the department. • Provides analysis, solutions, and training for the department on use of software and other technology. • Provides department leadership in identifying technical solutions to address current needs and to increase department efficiency and effectiveness. • Responsible for the extraction and transformation of data using programming techniques from multiple data sources for use as research data sets. • Creates, designs, modifies, and presents dynamic reports to support college and department level planning, enrollment management, compliance, accreditation, and decision making. • Provides leadership in projects that support the comprehensive online reporting systems and web-based communication tools. • Validates department reports before they are published to maintain and improve access to the reporting system and availability of accurate reports. • Develops and maintains standard operating guides for department report development and validation. • Develops, manages, coordinates, and completes research and data analysis with regard to academic and institutional policy analysis. • Works collaboratively with college stakeholders to analyze specifications and design reports using report writing tools and other data reporting methods. • Collaborates with Information Technology to develop and maintain the technical architecture necessary for report writing. • Provides leadership in the evaluation and preparation of solutions to address data quality based on requirements for data accuracy and completeness. • Explores additional uses for data that allow College departments to work more effectively and to support the College's commitment to data-informed decision making. • Develops, maintains, and updates queries and reports to fulfill recurring data needs for internal and external reporting requirements. Responsible for monitoring, maintaining, and updating historical analytical reports. When necessary, converting historical static analytical reports into dynamic web-based reports using report writing tools. • Provides technical expertise to develop and provide training to faculty and staff with regard to the College's business intelligence system. • Collaborates with functional area experts to automate current data gathering and reporting systems. • Responsible for maintaining confidentiality and professionalism when dealing with sensitive employee data. • Conducts research and analysis of external conditions that impact the College. • Performs other job-related duties as assigned. Education, experience, and other requirements: Bachelor's degree and five (5) years of relevant full-time experience or Master's degree and two (2) years of relevant full-time experience. Any combination of education and experience that provides the required knowledge and abilities. Preferred Qualifications: Ideal Candidate Traits Experience in higher education and a strong commitment to data-informed decision making are highly preferred. Enjoys solving problems and answering questions with data. Comfortable learning new tools and systems. Able to translate data into meaningful information for non-technical audiences. Values accuracy, documentation, and continuous improvement. Committed to supporting student success through data-informed practices. Detail-oriented, curious, and comfortable working with data, but does not need to be a programmer.

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe. NCR Atleos was ranked #12 in Newsweek's prestigious 2025 Top 100 Global Most Loved Workplaces list. Our NCR Atleos Global Internship Program offers a unique opportunity to explore the intersection of innovation and financial technology. Interns work alongside teams shaping the future of self-service banking, gaining firsthand experience with the tools and strategies that power millions of transactions every day. At NCR Atleos, you'll be immersed in a culture that values curiosity and creativity. Our program is designed to accelerate your professional growth and help you build lasting connections. Many of our interns go on to join us full-time, equipped with the skills and relationships they've developed during their time here. If you're ready to be part of something global, innovative and impactful, your journey starts here. Business Analyst Intern - NCR Atleos We are seeking a Business Analyst Intern who is passionate about driving business success with innovative solutions. The ideal candidate will have a strong business background, with a degree in a business discipline and a basic understanding of business processes and emerging technology. Familiarity with project management principles is essential. If you are a problem-solver who thrives in a collaborative environment, enjoys working on process improvement, and is looking for a role where you can make a significant impact, we would love to hear from you. Key Responsibilities: Identify process inefficiencies and create problem statement Assist in gathering and documenting solution requirements Analyze data to provide insights for informed decisions Collaborate with cross-functional teams to enhance processes Support project managers in executing projects Qualifications: Working towards a bachelor's degree in a business or technical discipline Familiarity with project management principles Knowledge of business process analysis Basic knowledge of data analysis tools and techniques Demonstrated ability to solve problems in a collaborative environment Problem-solving skills to troubleshoot and resolve business-related issues Time management skills to prioritize tasks effectively Attention to detail to ensure accuracy in data analysis and reporting Adaptability to learn new business analysis tools and methodologies Why NCR Atleos? Interns at NCR Atleos are part of a global team driving transformation in financial and retail technology. You'll work on impactful projects, receive mentorship from industry experts, and gain exposure to enterprise-level systems and innovation. Offers of employment are conditional upon passage of screening criteria applicable to the job. Full time employee benefits include: Medical Insurance Dental Insurance Life Insurance Vision Insurance Short/Long Term Disability Paid Vacation 401k EEO Statement NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law. Statement to Third Party Agencies To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

What We Need Looking for a summer internship with a highly dynamic, entrepreneurial company? Seeking a rewarding summer experience that will stand out from the crowd? Corpay is a leading global payments and financial services firm headquartered in Atlanta, GA. We invite you to join our 10-12-week paid summer internship program for rising juniors and seniors. How We Work As an intern you will be expected to work in an in-office environment or remote. Corpay will set you up for success by providing: Assigned workspace in office Company-issued equipment Formal, hands-on training Role Responsibilities Projects the Intern will assist with: Working directly with clients to provide day to a primary point of contact for day to day account support, problem resolution, technical clarity, research and analysis Responding to inbound emails, fax, and phone calls, and Salesforce cases Developing and executing a client service delivery strategy for assigned clients around the needs, contracts specifications and cost components Conducting regularly scheduled calls, presentations to review business performance, including training and education Makings decisions regarding the set up and support of the clients assigned to their care and has the ability to approve financial fee and or transaction concessions Preparing and presenting solutions in advance to retain relationships Using customer feedback to monitor the status of service levels, identifies problems and revenue growth potential within the client base Effectively interact with internal departments to support customer base Trouble-shooting of client-raised servicing issues to determine if the issue is a system issue, training issue, or client configuration. Qualifications & Skills Majoring in: Finance, Economics, or related subject. Proficiency in Excel Exposure to relational databases. Strong written, verbal, analytical, and interpersonal skills required. Must display maturity and a high level of professionalism. Students must be currently enrolled at an accredited college or university in a Bachelor or Graduate degree program through the duration of the internship. Must be committed to working a 40-hour work week for 10-12 weeks during the summer months Benefits & Perks Medical, Dental & Vision benefits available the 1 st month after hire Automatic enrollment into our 401k plan (subject to eligibility requirements) Virtual fitness classes offered company-wide Robust PTO offerings including: major holidays, vacation, sick, personal, & volunteer time Employee discounts with major providers (i.e. wireless, gym, car rental, etc.) Philanthropic support with both local and national organizations Fun culture with company-wide contests and prizes

Charter Global is a global Information Technology and Solutions provider with more than 19 years of proven track record in gaining customer confidence. We support our customer needs in Asia-Pacific, Europe and the Americas (North and Latin). Our customers are in a variety of vertical industries: Energy, Finance, Healthcare, Government, Retail, Fulfillment Logistics, Manufacturing and Telecom. Charter Global has honed the processes, methodologies, tools and functions to deliver software services via a Global Delivery Model which blends in local and remote resources to get the job done - consistently Here is the Job details: Title: Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Job Description: · Oversees and performs end-top-end data based research. Design data mining solutions to be implemented and executed with alignment to the planned scope and design coverage and needs/uses, leveraging knowledge and a broad understanding of E2E business processes and requirements. · Defines the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership (segments of the project/engagement). This includes:- Analyzing the data and identifying data sources- Determining appropriate types of data analytics to be performed- Selecting and applying data analysis techniques to ensure that recommendations and predictions provide an adequate level of confidence based on defined coverage criteria- Designing repeatable, verifiable and traceable analytical models · Identifies and analyses new data analytic directions and their potential business impact to determine the proper prioritization of data analytics activities based on business needs and analytics ROI. · Identifies data sources, oversees the data collection process and designs the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality. · Constructs data models (algorithms and formulas) for required business needs and predictions. · Works closely with content experts and managers to pinpoint queries, map data, and validate results. Maintains and enhances the professional and business relationship with internal stakeholders. · Facilitates presentations on how to use the data. Offers practical solutions to be used by the end decision makers. · Presents results, including the preparation of patents and white papers and facilitating presentations during conferences. · Effectively participates in and/or leads formal and informal reviews with stakeholders, applying knowledge and experience and providing insights from a professional perspective. · Prepares results in such a way they will be convenient for use. Provides professional support for team members and keeps them informed of assignments/ project status. Provides for training and support for other team members. · Explores and examines data from multiple sources. The Data Scientist sifts through all incoming data with the goal of discovering previously hidden insights, which, in turn, can provide a competitive advantage or address a pressing business problem. A Data Scientist does not simply collect and report on data, but also looks at it from many angles, determines what it means, and then recommends ways to apply the data. · Participates in technical designs of the wrapped product, which will run the model. Ensures that the model is properly used, that data inputs are supplied correctly and in a timely manner. Verifies that the correct data population is being processed. Ensures that that the output of the model is used correctly and that business objectives are being targeted. · Participates in the development stages of the wrapped product, including design, development, QA, implementation and production. This is particularly critical when the Development and Implementation teams find it difficult to understand and evaluate the model's objectives and benefits) Critical Experiences : · Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred · 5 or more years of relevant quantitative and qualitative research and analytics experience · Solid knowledge of statistical techniques · The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets · Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), statistical modeling (like SAS or R) · Experience using machine learning algorithms · High proficiency in the use of statistical packages · Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms · Strong communication and interpersonal skills · Knowledge of telecommunications and of the subject area being investigated - advantage. Additional Information Technical Expertise

THE FIRM As a leading international law firm, we are dedicated to excellence through impactful communication, collaboration, and community involvement. Our company culture has earned us one of the "100 Best Companies to Work For" for 26 consecutive years. This honor, along with many others, highlights our commitment to innovation and professional development. At Alston & Bird LLP, our foundation is made of trust, reliability, and compassion. JOB DESCRIPTION We are in search of visionary Data Scientist to join our Practice Innovation team-a group dedicated to transforming how legal services are delivered through cutting-edge technology. In this role, you'll lead the charge in deploying enterprise AI platforms like Microsoft Copilot Studio and Azure OpenAI, helping to craft smarter, data-driven legal strategies. If you're passionate about legal tech, fluent in data science, and excited by the possibilities of AI, we'd love to meet you. ESSENTIAL DUTIES Design, develop, and maintain predictive models to support administrative and legal departments. Configure and deploy AI solutions using Copilot Studio, Azure OpenAI, and other Microsoft 365 AI tools to enhance legal workflows. Collaborate with attorneys, innovation leads, and IT to identify opportunities for automation and data-driven decision-making. Build and maintain dashboards and analytics tools for internal stakeholders (e.g., attorney development, DEI, legal operations). Evaluate third-party legal tech tools and assist in integration with firm systems. Support AI governance, including ethical use, data privacy, and compliance with firm policies. SKILLS NEEDED TO BE SUCCESSFUL Knowledge of legal data types (e.g., timekeeping, matter metadata, court filings). Understanding of AI governance, model evaluation, and responsible AI practices. Strong communication skills and ability to translate technical concepts for non-technical stakeholders. Preferred: experience working in or with law firms or legal departments. EDUCATION AND EXPERIENCE Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field preferred. 1-3+ years of experience in a data science or machine learning role, preferably in a professional services or legal environment. Proficiency in Python, SQL, and data visualization tools (e.g., Power BI, Tableau). Experience with Copilot Studio, Azure OpenAI, or similar enterprise AI platforms. Familiarity with natural language processing (NLP), large language models (LLMs), and prompt engineering. EQUAL OPPORTUNITY EMPLOYER Alston & Bird LLP is an Equal Opportunity Employer does not discriminate on the bases of any status protected under federal, state, or local law. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status or disability in relation to our recruiting, hiring, and promoting practices. The statements contained in this position description are not necessarily all-inclusive, additional duties and responsibilities may be assigned, and requirements may vary from time to time. Professional business references and a background screening will be required for all final applicants selected for a position. If you need assistance or an accommodation due to a disability you may contact *************************. Alston & Bird is not currently accepting resumes from agencies for this position. If you are a recruiter, search firm, or employment agency, you will not be compensated in any way for your referral of a candidate even if Alston & Bird hires the candidate.

City/Cities: Atlanta Travel Required: 00% - 25% No Shift: Candidates are encouraged to apply to 3 or fewer internship roles during a given internship recruiting cycle Position Overview (2-3 sentences): As a Summer Data Analyst Intern on the ARTD (Alcohol Ready to Drink) Global Development and Innovation team, you will support the team by analyzing consumer, market, product, and supply chain data to inform strategic decision‑making and innovation within the global ARTD category. You will assist with gathering, cleaning, analyzing, and visualizing data to improve how insights are generated and shared across the team. In addition to innovation and consumer analytics, the intern will also support supply chain by helping with shipment creation, extracting and analyzing delivery performance data at a lane level, and presenting findings to stakeholders. This role will work closely with cross‑functional partners across product development, supply chain, and analytics, offering hands‑on exposure to how data supports both innovation and operational performance in a fast‑paced environment. Function Related Activities/Key Responsibilities: (Top 5-8 core responsibilities): Collect, clean, and organize consumer, market, sales, and product data from internal and external sources to support analysis and reporting. Analyze performance trends within the ARTD category. Build and maintain basic dashboards, charts, and visualizations that communicate insights clearly. Assist with consumer insights analysis by summarizing survey data, concept tests, or usage & attitude research. Document analytical processes, assumptions, and findings to promote consistency, clarity, and knowledge sharing. Prepare concise summaries and presentations translating data into insights, learnings, and recommendations for internal stakeholders. Education Requirements: Must be currently pursuing a Bachelor's or Master's degree in Data Science/Analytics, Statistics, Business Analytics, Marketing Analytics, Economics, Computer Science, or related field or have graduated from their degree program no earlier than December 2025. Related Work Experience: Supply chain experience is a plus Experience conducting analysis for large organizations is a plus Functional Skills: Data cleaning and preparation Data analysis and visualization (Tableau, Power BI, Excel) Translating data into insight and recommendations Problem-solving mindset Comfort with ambiguity Able to work with evolving questions and incomplete data Compensation: Monthly Salary (undergraduate): $4,506 Monthly Salary (graduate): $6,066 Location: Atlanta, Georgia Dates of Internship: May 18 - July 31, 2026 Skills: Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

Job Title: Data Scientist Company: Georgia Power We are seeking applicants who demonstrate a combination is soft skills and technical skills. Client relationships, collaboration, communication, and effort to learn the business are essential to success. From technical perspective, we are looking for applicants who have experience with machine learning, advanced analytics, coding, cloud and on-premise environments, and a variety of data sources. This role focuses on supporting various departments across Customer Services, Customer Solutions, Business Development, Corporate Communications, and others. Data Scientist performs advanced and descriptive analytics that lead to better customer experience, increased operational efficiencies, and improved business profitability. This role is responsible for discovering business insights using statistics, machine learning, and visualization techniques. Apply today and take the next step in your career with Data Science! JOB REQUIREMENTS: A bachelor's degree in Data Science, Data Analytics, Statistics, Computer Science, Engineering or a related field is required A master's degree in Data Science, Data Analytics, Statistics, Computer Science, Engineering or a related field is preferred 4+ years of hands-on experience with data and analytics; with progressively increased level of responsibility Experience querying data from various data sources Proficient with one or more programming languages used for analytics, preferably Python and SQL Experience with Databricks is desired, but not required Working knowledge of predictive modeling techniques, such as linear regression, decision trees, clustering, neutral networks, etc. and experience using these methods to address real-world business challenges Strong interest in AI and aptitude to learn how to develop AI solutions for Customer Experience organization Experience developing dashboards in Power BI or a comparable visualization platform Written communication skills and experience summarizing key insights in concise emails, executive summaries, and presentations Verbal communication skills and experience effectively presenting analytics insights in practical terms to non-technical business audience Experience managing and prioritizing multiple projects simultaneously Ability to effectively collaborate in highly cross-functional work environment, engage diverse stakeholders, ask questions to understand client needs, and partner with colleagues across different teams Behaviors rooted in our corporate values: Safety First, Intentional Inclusion, Act with Integrity, Superior Performance MAJOR JOB RESPONSIBILITIES: Build relationships with internal clients to understand their goals, processes, and challenges Promptly respond to requests from internal clients, understand their business questions, and perform analytics to meet their business needs Fulfil high volume of ad-hoc analytics requests Proactively suggest advanced analytics solutions to clients Write programs to pull data from various data sources Identify, gather, and prepare data for your projects Analyze structured (quantitative) and unstructured (text, voice recordings) data Develop and deploy machine learning models Create dashboards that automatically pull data from various data sources Summarize key insights from your analytics projects and provide conclusions and recommendations Produce analytics to enhance customer experience, improve energy affordability, and support sustainable growth Quantify effect of various programs and initiatives on customer energy usage, call volume, payment behaviors Provide insights on how our customers interact with our company across various channels in effort to improve customer service performance, optimize channels and programs Enable personalization and communications based on customer data Provide analytics to increase enrollment in energy efficiency, renewables, electric transportation, and other programs. Develop analytics to help grow unregulated net income Provide analytics to optimize operations that deliver regulated and unregulated solutions to customers Establish external and internal relationships to share best practices in data science, stay abreast of industry trends and emerging technologies Continuously learn new data sources, new platforms, and new methods. Demonstrate curiosity and creativity in the rapidly evolving world of data and AI.

Must Have Technical/Functional Skills Proficiency in Python, SQL, and R programming languages. Hands-on experience with Domo, SAS, and web development languages. Strong knowledge of cloud platforms (AWS, Azure) and big data ecosystems (Hadoop). Expertise in machine learning techniques and statistical modeling. Excellent data visualization and storytelling skills. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. Preferred Skills Experience with advanced analytics and big data tools. Familiarity with NLP, deep learning frameworks, and modern visualization libraries. Strong problem-solving and communication skills. Roles & Responsibilities * Design and implement predictive models and machine learning algorithms to solve business problems. * Perform feature selection using techniques such as PCA, Lasso, and Elastic Net. * Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM. * Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions. * Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib. * Communicate insights through compelling data storytelling for diverse stakeholders. * Collaborate with cross-functional teams to integrate data solutions into business processes. Salary Range-$100,000-$125,000 a year #LI-KR3 TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: + Award-winning culture + Inclusion and diversity as a priority + Performance Based Incentive Plans + Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability + Generous PTO (including paid time to volunteer!) + Up to 9.5% 401(k) employer contribution + Mental health support + Career advancement opportunities + Student loan repayment options + Tuition reimbursement + Flexible work environments **_*All the benefits listed above are subject to the terms of their individual Plans_** **.** And that's just the beginning... With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! **General Summary:** This position for a developing data scientist who is excited to transform data into actionable insights and impact the business through his/her work. The role requires increasing technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on developing business knowledge. The individual will participate in project work primarily within the functional area, with direction and review by manager. The individual is expected to continuously increase business knowledge and take initiative in identifying and executing analytical approaches to support assigned projects. **Job Specifications** + Bachelor's degree in quantitative field is preferred + 2 years preferred of professional experience or equivalent relevant work experience + **Core Data Science Capabilities:** Deep expertise in at least one of the following skillsets preferred, with basic capability in the others: + Programming & Process automation: Experience using APIs, file I/O, database, and analysis libraries. Understanding of programming in jupyter notebooks and/ or statistical packages. Understanding of process mapping and demonstrated application of scripting languages to automate processes. Exposure to data mining and web scraping. + Data Visualization: Working knowledge of two or more data visualization tools and proficiency in static data visualization. Basic understanding of dynamic data visualization + Statistics & Statistical modeling: Solid understanding of statistical inference and regression. Basic understanding of machine learning techniques including random forests and neural nets. Basic understanding of feature selection and extraction which may include analysis of categorical data, multiple comparisons, Central Limit Theorem, bootstrapping, and permutation tests + **Data Extraction, Transformation, and Loading** (ETL) skillsets preferred: Expertise in writing complex SQL queries that join multiple tables/databases. Given a business problem, independently explore databases/tables to identify best data sources. Demonstrates ability to troubleshoot complex SQL queries written by others with little guidance. + **Core business capabilities** : basic communication skills, exposure to financial services industry, and attention to detail and ability to prioritize while working on multiple projects keeping track of due dates + **Leadership Capabilities:** Ability to coach or mentor team members, respond quickly and positively to change, adheres to technical best practices by collaborating with team members to deliver high quality output + **Preferred characteristics** : Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Basic understanding of their organization. **Principal Duties and Responsibilities** - Design and execute analytical solutions using statistical, optimization, simulation and data mining methods with a focus on delivering actionable insights and partnership to deliver business value. - Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets and perform analyses - Apply validation, aggregation and reconciliation techniques to create rich modeling-ready data framework. - Construct predictive models using machine learning to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering. - Familiarity with AI agents like github co-pilot, MS co-pilot to speed through code development and self - learning. - Knowledge of working with LLMs and agent libraries like Langgraph. Langchain & OpenAI SDK. - Efficiently interpret results and communicate findings and potential value to manager. - Support integration of solutions within existing business processes using automation techniques. - Understand theory and application of current and emerging statistical methods and tools. - Knowledge of tools - Python, VS code, Databricks, Azure, AWS, Streamlit, tableau, SQL - Perform other related duties as assigned \#LI-TO1 \#LI-MULTI IN4 Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide. Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status. The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience. $60,500.00-$123,400.00 Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans. Company: Unum

**_Candidates are encouraged to apply to 3 or fewer internship roles during a given internship recruiting cycle_** This position offers an exciting opportunity to work in a dynamic environment, enabling the candidate to develop and refine skillsets in reporting automation, process optimization, and application development. Leveraging advanced tools and technologies, this role focuses on driving innovation and efficiency across business operations. **Key Responsibilities:** **Reporting Automation** + Design, build, and implement reporting solutions using tools such as Power BI. + Optimize data visualization and streamline reporting processes to enhance decision-making capabilities. **Business Process Mapping for RPA Development:** + Visualize workflows by creating detailed process models, specifications, diagrams, and flowcharts. + Collaborate with cross-functional teams to develop effective change management plans. **Automation and Robotics Solutions:** + Develop and deploy automation and robotics solutions to enhance operational performance. + Identify opportunities to apply Robotics Process Automation (RPA) for repetitive tasks and improve efficiency. **Power Apps Development:** + Design, develop, and maintain applications using Power Apps to meet business requirements. + Integrate applications with existing systems and workflows for seamless operations. **Process Improvement Initiatives:** + Partner with networked teams to identify and execute process improvement opportunities. + Balance end-user needs and operational goals to drive value across the organization. **Performance Monitoring and Analysis:** + Track and analyze key metrics, processes, and pain points to identify areas for improvement. + Conduct root cause analysis, recommend actionable solutions, and implement mitigation plans to address business challenges. **Ideal Candidate:** + The ideal candidate is a proactive problem-solver with a strong technical background, excellent communication skills, and a passion for driving innovation. They should be adept at balancing technical expertise with strategic thinking to deliver impactful results. **Functional Competencies:** + Project Management - Ability to manage projects to ensure successful delivery (on time, within budget, meeting agreed upon success criteria), develop and manage project plans, allocate resources, identify potential issues/risks, and develop contingency plans. + Design Thinking - solving problems by prioritizing the consumer's needs above all else + May need to influence others regarding policies, practices, and procedures + Experience in business process leadership; driving process improvement. + Balancing immediate and short-term needs and delivering results. + Risk and mitigation planning. + Ability to manage through ambiguity as well as lead change. + Strong writing, communication, and content capabilities. **Additional Attributes:** + Ability to work in a complex environment, with multiple decision makers + The ability to work without close supervision + Demonstrates the ability to understand and apply complex concepts. + Ability to lead a diverse and virtual team + Adaptability + Decision Making + Iterate - Agile Mindset **Educational Requirements:** + Currently pursuing an undergraduate degree in a related major or have graduated from their degree program no earlier than December 2025. **Technical Skills:** + AGILE + Program Management + Metrics & Data Analysis + Process Improvement + Negotiation + SQL + Power Apps + Power BI + Azure **Related Work Experience:** + SQL + Power BI **Compensation** Monthly salary: $4,506 (Undergraduate) Location: Atlanta, Georgia Dates of Internship: May 18 - July 31, 2026 **Skills:** Hyper Text Markup Language (HTML); Machine Learning (ML); Cascading Style Sheets (CSS); Analytical Thinking; Customer Service; Chatbots; Algorithms; Data Modeling; Agile Methodology; Natural Language Processing (NLP); Group Problem Solving; Oral Communications; Server-Side Development; Azure Bot Service; JavaScript; Written Communication; Artificial Intelligence Technologies; Data Mining; Adaptability; Teamwork; Self-Starter The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.