Data science internship jobs in Fort Worth, TX - 419 jobs

Immediate need for a talented Data Analyst. This is a 06+months contract opportunity with long-term potential and is located in Dallas TX (Hybrid). Please review the job description below and contact me ASAP if you are interested. Pay Range: $40 - $45/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key skills; Data Analyst, Data Modelling, Data Quality, Data Governance Hands on technical Data Analysis experience SQL and Python is a must to be able to code and demonstrate coding experience (will solve coding problems during interview) Data Analysis process, Data Modeling, Data Quality, Metadata, Data Governance knowledge is preferred. Healthcare knowledge will be preferred. Microsoft Azure and Fabric experience will be preferred. Our client is a leading Healthcare Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Department: Cargo Provo & GSE Our Company Promise We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer. : Notice: We ask that you apply with your personal email address rather than your school email (.edu) so we can stay connected about future roles at Southwest. Be sure to attach your resume to your application. Data and Analytics Internships span across several different Teams within the Data and Analytics Departments. If hired, Interns may be asked to support a variety of projects within one of the following Teams: * Cargo Revenue Management Intern: The Cargo Commercial Planning Team is comprised of the Cargo Marketing and Cargo Revenue Management Teams. The collaborative group's objective is to grow revenue by ensuring that we are operating on strong technology infrastructure, marketing, and pricing efficiently and effectively, and analyzing business performance through BI and analytical platforms. During the course of the internship, projects will include but not limited to: Understand Cargo pricing and capacity management; utilize available data sources to analyze pricing & operational performance in select markets; dissect flight capacity management and determine areas for improvement (flight capacity adjustments); process Cargo spot rate pricing; participate in pricing governance meetings on a bi-weekly basis; collaborate with Cargo Revenue Management on executing a capstone project to be presented to Senior Leaders; participate in Sales Calls and Cargo Facility visits (minimal travel may be required). * Safety Information Management System Intern: The Safety Information Management System Intern will assist in maintaining and improving the organization's safety data systems to ensure compliance and operational excellence. Responsibilities include supporting data validation, and reporting within the Safety Information Management System, as well as helping analyze trends to identify potential risks. The intern will collaborate with safety and compliance Teams to streamline processes, enhance data accuracy, and contribute to continuous improvement initiatives. This role is ideal for someone with a strong analytics background, preferably including data science. * MOC Data Analytics Intern: The MOC Data Analytics Intern will support the Tech Ops department by collecting, analyzing, and interpreting aircraft performance and maintenance data. They will assist the Maintenance Operations Control (MOC) Team in developing dashboards and reports that improve visibility into fleet reliability and operational efficiency. The intern will help identify trends, repeat issues, and opportunities for process improvements using analytical tools and data-driven insights. * Sales Ops Intern: The Sales Operations Team leads all sales enablement initiatives while focusing on people, processes, and tools. This Team delivers critical technology capabilities, drives internal partnerships for cross-functional initiatives, and creates and enables other sales support initiatives. * Sales Analytics Intern: The Sales Analytics Intern will support the Southwest Business Analytics Team by providing account-level insights that drive revenue growth. This role assists account managers through data analysis, reporting, and actionable recommendations to optimize performance. Additional Details * Join Southwest as a Summer 2026 Intern, with a 12-week internship lasting from May 19 - August 7, 2026. * Pay of $22-$25 per hour, corresponding with progress toward degree * We're committed to fair hiring practices and to making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, disability, genetic information, or other legally protected characteristics. * The culture of Southwest Airlines means we value the camaraderie, collaboration, and innovation that occurs when we come together and interact face-to-face at our vibrant Corporate Campus. Due to the nature of this role, you would be required to work from our Dallas, TX headquarters facility during business hours (2702 Love Field Drive). * Dedicate 40 hours each week to your internship responsibilities and tasks. * Receive free, unlimited space available travel privileges for yourself (taxes and fees may apply on international travel). * Interns will be provided any required equipment, such as a laptop, for the internship. * U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available. Duties and Responsibilities The duties and responsibilities of Data and Analytics Intern may include, but are not limited to: * Work on moderately complex data science, machine learning, AI, or optimization projects to define, analyze, and deliver solutions aligned with business objectives. * Apply math, statistics, and modeling methods for descriptive, diagnostic, predictive, and prescriptive analytics. * Extract, transform, and analyze large datasets to identify trends, risks, and opportunities, delivering actionable insights. * Support ongoing effectiveness and maintenance of models and analytical solutions. * Generate reports, dashboards, and presentations that highlight KPIs, revenue drivers, and campaign/program performance. * Assist with data validation, maintenance, and troubleshooting within internal systems (e.g., Safety Information Management System). * Document processes, create user guides, and maintain knowledge management resources (e.g., Confluence). * Participate in system testing and continuous improvement initiatives to enhance usability and performance. * Collaborate with stakeholders, safety/compliance Teams, and cross-functional partners to ensure accurate and timely information flow. * Support the full product lifecycle, including discovery, design, testing, defect management, and enhancement requests. * Develop user stories with clear acceptance criteria and create process maps and flowcharts for workflows. * Identify and implement automation strategies to improve operational efficiency. * Provide analytics and CRM support for sales Teams, including dashboard reporting and customer inquiries. * Create and distribute communications and promotional solutions for internal Teams and customers. * Build and maintain relationships within the Customer Organization and contribute to the data science community. * Gather data from various sources, including but not limited to, Account Managers, Salesforce, and Southwest Databases. * Research and verify third party data integrity. * Scrub/format data and translate into system compatible format. * Support Account Managers meeting requests and needs. * Leveraging Salesforce to update account details, upload data, and manage tasks. * May perform other job duties as directed by intern's leaders. Knowledge, Skills, and Abilities * Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint). * Strong Excel skills, including PivotTables, VLOOKUP, graphing, and data manipulation. * Ability to build and deliver PowerPoint presentations. * Strong written and verbal communication skills for technical and non-technical audiences. * Knowledge of foundational statistics and math concepts. * Understanding of descriptive, diagnostic, predictive, and prescriptive analytics. * Ability to compile, clean, transform, analyze, and visualize large-scale data. * Strong analytical and problem-solving abilities. * Ability to manage and organize large datasets accurately. * Detail-oriented with a focus on data integrity and process improvement. * Team-oriented with the ability to work independently. * Quick learner, self-motivated, and adaptable. * Gather data from various sources, including but not limited to, Account Managers, Salesforce, and Southwest Databases. * Support Account Managers meeting requests and needs. * Leveraging Salesforce to update account details, upload data, and manage tasks. * Participate in ad hoc projects/analytics requests. * Ability to work independently and the willingness to function as a part of a Team. * Ability to coordinate multiple tasks and complete assignments with tight deadlines. * Must maintain a professional appearance and attitude Time Commitment and Pay * Required: Full-time 40hrs a week on site in Dallas, Texas * Must maintain a consistent weekly schedule during normal business hours at a max of 8hrs per day * Program Dates: May 19 - August 7, 2026 * $22-$25 per hour, corresponding with progress toward degree * Stipends may be offered based on eligibility and program criteria Education * High School Diploma, GED or equivalent education required * Progress toward a degree, major, or minor in Aviation, Aviation Management, Applied Mathematics, Analytics, Business Administration, Business Analytics, Business Administration, Computer Science, Data Analytics, Economics, Engineering, Finance, Hospitality, Information Science, Information Systems, Information Technology, Machine Learning, Management, Management Information Systems, Marketing, Math, Operations Research, Professional Sales, Science, Software Development, Statistics, Supply Chain or similar degree * Progress towards a 4-year undergraduate degree preferred * To be eligible, you must be currently enrolled as a full-time student (as defined by your university) at the time of application and during the internship * 1-2 semesters remaining at the time the internship ends is preferred * Minimum 2.5 cumulative GPA at the time of application Basic Qualifications * Must be at least 18 years of age * You must have a valid U.S. Social Security Number to complete the full hiring process Experience * Preferred: Experience with forecasting software and models. * Preferred: Programming knowledge in SQL, VBA, or other database management tools. * Preferred: Familiarity with Python, Java, or similar scripting languages. * Preferred: Experience with data visualization tools (Tableau, Power BI). * Preferred: Exposure to data cleansing and transformation tools (e.g., Alteryx). * Preferred: Knowledge of data science project lifecycle and stakeholder engagement. * Preferred: Ability to evaluate data science, machine learning, AI, or optimization techniques for business problems. * Preferred: Familiarity with Safety Management Systems (SMS) and compliance standards. * Preferred: Experience with Anaplan, Confluence, Jira, or similar platforms. * Preferred: Basic understanding of financial concepts and principles. * Preferred: Project management experience. * Preferred: Experience with Salesforce or CRM tools. * Preferred: Previous internship or work experience in analytics or aviation environment. * Preferred: Leadership experience or involvement in campus organizations. Southwest Airlines is an Equal Opportunity Employer. Please print/save this job description because it won't be available after you apply. Job Posting End Date 01/21/2026

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: Job Duties Work with multiple data assets to merge, create analysis and extract insight Build predictive models with AI / Machine Learning techniques Communicate key insights to support business objectives Receives general supervision and guidance from more experienced team members. Follows department processes, procedures and client requirements; may make recommendations and/or implement improvements/solutions. Utilizes tools to compile, query and analyze data according to defined business roles and procedures. May produce reports from various data sources (external and internal) to provide business stakeholders actionable information or business intelligence. Tracks project information, follows up on issue status, resolves routine issues, reports status to management. Participates in Internship Program activities and events to include: onboarding, educational activities, information sessions, product demos and social events. Provides general administrative support as needed. Participates in special projects and performs other duties as required. Job Qualifications: Education, Experience, Knowledge and Skills Currently enrolled in a Bachelor or Master degree program pursuing a related degree at an accredited 4-year college or university, or equivalent boot camp program. Minimum three years of relevant coursework completed by time of internship or equivalent boot camp program work. Preferred minimum 3.0 cumulative collegiate grade point average, on a 4.0 scale or the equivalent Prior internship or co-op experience preferred Participation in campus activities related to field preferred Demonstrated leadership experience through participation in on-campus activities, educational forums and/or prior work experience Assignment Specific Experience Experience with analytic tools such as Excel, SQL, Python, R, or other statistical based programming QA and analyze large amounts of data to create appropriate data sets for solution building Conduct defined quantitative and qualitative research projects and communicates research results to internal stakeholders Ability to learn and maintain knowledge of processes, procedures and products of Science and Analytics Ability to work within a cross-functional team and matrix management structure Strong written and verbal communication skills Strong customer service orientation; strong interpersonal abilities Solid analytical capability; ability to exercise sound judgment; strong decision-making skills Strong attention to detail; high degree of quality orientation Strong organization and prioritization skills; ability to perform multiple tasks and meet deadlines in a fast-paced dynamic environment Ability to take direction from multiple people; ability to flex to the work styles of others Ability to be a collaborative team player in a fast paces/changing environment; self-motivated and directed Solid project management capabilities; strong business acumen; strong fiscal aptitude Strong technical aptitude. Proficiency in Microsoft Office software applications, such as Word, Excel, Access, Project and PowerPoint Our internships are only offered during the Summer and are paid on an hourly basis within a range of $22.50/hour- $28/hour. Annual Pay Range: 0 - 0 Application Window: This opportunity is expected to remain posted through the date identified below, subject to business needs. 2025-09-26 Thrive with Cotality At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life. Highlights include: Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off. Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend. Health: Multiple medical plan options with mental health and wellness support offerings. Retirement: 401(k) with company match and vesting after one year. Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250. Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more! Click here to see a comprehensive list of our benefit offerings. Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace. Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences. Privacy Policy Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

RefineRE is seeking a Python intern to work closely with the product team on various projects to ensure integrity of data quality. These projects will entail iterative programming aspects that shed light on data quality, consistency, and usability. Ideal candidates will possess strong problem solving and intermediate python skills. Requirements: Pursuing a degree in Computer Science, Data Science, Data Analytics, Applied Statistics, or related field. 2 or more years of educational experience with statistical programming languages (such as Python or R). Familiarity with Jupyter notebooks or other Python IDE's. Ability to do basic tasks in Python or R to Create loops for iterating over rows and columns in a data frame, Transform data based on logical conditions, Keep well-documented code while producing project deliverables on time, Develop reusable, efficient, testable, and scalable code. Nice to have: Experience with SQL, API's, GCP and/or Tableau. *Can be in office, remote, or hybrid*

How You'll Make an Impact Epsilon is seeking a PhD Data Science Intern to join our Decision Sciences Team. As a Data Science Intern, you will apply your academic research and machine learning skills to propose effective solutions for our technology and business challenges. Your research background will determine your placement in one of our six Decision Sciences teams, each enhancing various aspects of our personalization platform. Epsilon's personalization relies on analyzing vast amounts of anonymized data online to assess a trillion advertising opportunities monthly in real-time. Epsilon's PhD Internship Program As an intern, you'll participate in a formal 12-week summer program developed to provide you with a comprehensive grasp of digital marketing and Epsilon's personalization platform. During your internship, you'll undertake a research project addressing a specific technology or business challenge, allowing you to apply your machine learning expertise practically. Lastly, you'll receive mentorship and feedback to help you successfully present your findings and approach to the entire Decision Sciences department. What You'll Achieve * Impact: Develop innovative solutions, with a high degree of autonomy, contributing to work that has the possibility of future integration into production systems. * Career Growth: Apply your field of study to solve real problems with an opportunity to directly impact our business, gaining hands-on experience with internet-scale data and industry-level applications. Who You Are * What you'll bring with you: * Currently enrolled in a PhD program with relevant coursework, research, and background in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field * Hands-on involvement with research projects involving formulating hypotheses, exploring data, and developing models for insights * Established track record in developing and validating machine learning models, with a strong understanding of model performance evaluation and optimization * Proficiency in one or more programming languages such as Python, Scala, SQL, or R * Why you might stand out from other talent: * Experience working with big data technologies such as Hadoop, Spark, Cassandra, or MPP databases * Proven capacity to communicate complex data science concepts, methodologies, and findings to diverse audiences * Ability to conduct independent research to identify and recommend the best approaches for solving complex technology and business problems Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice. Base Salary: $55.00 - $60.00/hour Actual compensation within the range will be dependent upon, but not limited to the individual's skills, experience, qualifications, location and application employment laws. The salary pay range is subject to change and may be modified at any time. The application deadline for this job posting is 11/16/2025. Additional Information When You Join Us, We'll Create Something EPIC Together Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. Our pillars aren't just words. They're how we show up every day. * People centricity: We focus on employee well-being in an environment where colleagues truly care about each other. * Collaboration: We work together, support one another, and collectively achieve goals. * Growth: There are endless opportunities for growth through learning, development and career advancement. * Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches. * Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Our values guide us to create value for our clients, our people and consumers. * Act with integrity * Work together to win together * Innovate with purpose * Respect all voices * Empower with accountability These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose. Because You Matter As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following: * Time to Recharge: Flexible time off (FTO), 15 paid holidays * Time to Recover: Paid sick time * Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance * Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling Epsilon benefits are subject to eligibility requirements and other terms. Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to ************************** to request an accommodation. For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply. #LI-VR1

United in Performance. Inspired by Innovation. Work Type: reports in-person to our Garland, TX office. Sponsorship: This opportunity is not approved for Visa sponsorship. Only candidates who currently have the right to work in the United States will be considered. Why Join This Team? This team works with highly integrated technology and offers a unique opportunity to see how data drives decision-making in the global mining industry. Interns will gain hands-on experience with real-world data and contribute to impactful projects that span international operations. Key Responsibilities: * Assist in collecting, cleaning, and preprocessing large datasets from various sources to ensure accuracy and reliability. * Perform exploratory data analysis to identify trends, patterns, and actionable insights that support business objectives. * Create and maintain data visualizations, dashboards, and reports using tools such as Tableau, Power BI, or Excel. * Collaborate with cross-functional teams to understand data needs and deliver impactful solutions. * Learn how data supports automated drilling equipment and contributes to global mining operations. Required Skills & Competencies: Technical Skills * Proficiency in SQL, Python or R. * Experience or coursework in data visualization tools (e.g., Tableau, Power BI). * Familiarity with Excel and basic statistical analysis. Soft Skills * Strong communication and collaboration abilities. * Attention to detail and critical thinking. * Problem-solving mindset and business acumen. * Curiosity and willingness to learn about mining technologies and global operations. Success Behaviors: * A collaborative team player who thrives in a dynamic, innovative environment. * Eager to grow professionally and explore opportunities in the mining industry. * Bold in bringing fresh ideas and challenging the status quo-Dare to Think New. Life at Epiroc: We are Epiroc, a leading productivity partner for the mining and infrastructure industries. By joining Epiroc, you can expect an atmosphere of creativity and innovation, 'Dare to Think New.' With innovative technology, we develop and produce innovative drill rigs, rock excavation, and construction tools. The company was founded in Stockholm, Sweden and has passionate people supporting and collaborating with customers in more than 150 countries. Employment at Epiroc Drilling Solutions LLC is "at-will," which means that either you or the company can terminate the employment relationship at any time, with or without prior notice, and for any reason not prohibited by statute, in accordance with state and federal guidelines. All employment continues on that basis. No supervisor, manager or executive of the company, other than the General Manager in a signed writing, has any authority to alter the foregoing. Signature of this document serves as acknowledgment of receipt and does not create a contract of employment. Epiroc Drilling Solutions LLC is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Note: This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Employees are held accountable for all duties of the job. United. Inspired. Performance unites us, Innovation inspires us, and commitment drives us to keep moving forward. In the 150 countries where you can find Epiroc, we encourage our employees to take ownership of their own development and careers with the support from their leaders. We are committed to giving you every opportunity to succeed in a culture of innovation, diversity and collaboration, combined with a caring atmosphere. Diversity and sustainability are key to grow fresh and innovative ideas and solutions for our customers. Epiroc is a leading manufacturer for the mining and infrastructure industries. This job posting will remain open until the position is filled. It all starts with people. The world needs metals and minerals for the energy transition and our cities and infrastructure must be developed to serve a growing population. To succeed, we need to speed up the shift towards more sustainable mining and construction industries. We at Epiroc accelerate this transformation, together with customers and business partners in more than 150 countries, by developing and providing innovative and safe equipment, digital solutions, and aftermarket support. All new thinkers are welcome. We are looking for those who want to develop, grow, and dare to think new. In Epiroc we attract, develop, and retain diverse talent valuing authenticity and unique perspectives, driving our spirit of innovation. We foster an inclusive culture where diversity isn't just a goal but a part of our values and way of working. This is how we do business for a sustainable future. Learn more at **************

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions. We can recommend jobs specifically for you! Click here to get started.

360 IT Professionals is leading name in the software development industry, bring innovative business solutions to clients in Silicon Valley. We are always looking forward to bring aboard IT professionals and help them build a career in the IT Industry by providing the opportunity to work with our top clients in US. Job Description A Data Analyst with strong Analytics background to support Corporate Sales Reporting and Analytics needs. The Data Analyst will partner with business and operations technology teams to define and execute data analytics initiatives that help executive leadership gain buy-in on the investments made, create sustainable revenue and growth. Data Analyst will be responsible for driving data driven insights from operational data (booked, flown, contract and sales team metrics from Salesforce, Customer data including segmentation and other marketing elements, potentially forecasting information from Corp Sales and Revenue Management, etc.) This role requires business intuition, project management experience, and a working knowledge of analytical tools. • Partners with operational business stakeholders to identify key initiatives and execute solutions to business problems using data analysis and advanced analytics • Extracts data from a variety of sources for use in analysis, models and project development; completes ad-hoc reporting and data analysis • Communicates and coordinates frequently with business stakeholders and technology teams • Develops and validates evaluation metrics, KPIs, Targets, Reports and models to analyze business performance and areas of opportunity Qualifications Requirements : • Bachelor's degree in quantitative field (statistics, engineering, business analytics, computer science, information systems or related degree) • Passionate about data analytics, strong strategic and critical thinking, problem-solving skills • Experience working with large datasets and reporting or visualization tools, ability to tell a story using data • Experience with Airline Corporate Sales and operations • Ability to proactively manage stakeholder expectations on current and future business needs • Ability to communicate complex quantitative concepts in a clear, precise and actionable manner • Familiarity with database interface tools, SQL and programming concepts • Experience with statistical tools and concepts (R, SPSS, SAS) Preferred skill set: • Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data platforms • Experience with Business Objects-Crystal Reports or Ab Initio for reporting • Experience with Tableau, Spotfire, Alteryx or other visualization tools • Experience with statistical analysis and modeling including linear regression, segmentation, non-linear predictive (e.g. logistic) regression and machine learning Additional Information All your information will be kept confidential according to EEO guidelines.

We are seeking a motivated and detail-oriented intern to join our Commercial Lines team for the summer. As an intern, you will play a key role in supporting the team's analytical and reporting needs. You will work directly with the Director of Commercial Lines and gain hands-on experience across multiple facets of the jewelry and insurance industry. This is an excellent opportunity for students interested in working with large data sets, uncovering insights through analysis, and creating compelling data visualizations. You will have the chance to develop technical skills, build professional experience, and explore a career in analytics. WHY Jewelers Mutual: Since 1913 we've been committed to supporting the Jewelry industry and putting customers at the center of everything we do. With over a century of trusted expertise, we're financially strong, forward-thinking, and driven by curiosity. Guided by our core values of Agility, Accountability, and Relevancy, we lead through innovation. As a technology focused organization, we embrace cutting-edge tools and data-driven insights to continuously improve our products, services, and customer experience. Our mission is to be the industry's most trusted advisor by investing in our people, adopting new technologies, and striving for excellence. We're dedicated to fostering growth through collaboration, powered by bold thinking, teamwork, and the passion of our people. Here, you'll: Move fast and embrace change Always look for better ways Grow, thrive, and help shape what's next Join us and be part of a culture where you can make an impact while building your future. What you'll do: Data Analysis & Reporting: Analyze operational data to identify trends, generate insights, and provide recommendations that support process improvement and efficiency. Project Support: Assist with the preparation and execution of key projects by conducting research, organizing resources, and contributing to project deliverables. Collaboration: Work closely with Commercial Lines leadership to support data needs for new products, procedures, and communications that enhance business performance. Reporting: Create, update, and enhance weekly, monthly, and quarterly reports and dashboards to monitor Commercial Lines product performance. Communicate findings and recommendations to leadership. Innovative Analysis: Explore and analyze disparate data sets to uncover new insights and opportunities for improvement. Data Quality: Collaborate with data teams to help build reliable, consistent, and comprehensive data sets for internal reporting. Task Completion: Complete assigned data review tasks and reports as requested by Commercial Lines leadership To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. What you'll bring: Currently pursuing a Bachelor's degree in Data Analytics, Business Administration, Information Systems, or a related field. Must be junior or senior standing at the time of the internship. Must be able to work full-time in Dallas, TX during the summer and potential opportunity to extend internship to work part-time during the school year. Proficiency in Microsoft Excel and Word. Excellent organizational skills and attention to detail. Ability to work independently and manage multiple projects simultaneously. Strong written and verbal communication skills. Experience with data analysis, data visualization, or querying databases is a plus, but not required. Eagerness to learn and adapt in a fast-paced environment. Positive attitude and willingness to embrace change and contribute to a collaborative, learning-focused environment What We Offer You: Collaborative Culture: Work alongside talented, passionate peers who value ownership and continuous learning. Community & Giving: Benefit from 50% charitable gift matching and paid volunteer time to support nonprofit causes Great Place to Work Certified: Join a team recognized for an environment of innovation and growth. Accessibility and Accommodations We are committed to providing an inclusive and accessible recruitment process. If you require accommodation at any stage of the application or interview process, please let us know by contacting *************************.

Responsibilities Data analyst will be preparing technical Bl reports by collecting, analyzing, and summarizing information and trends to gain insights on large data. They will be extracting, interpreting, and analyzing large data to identify key performance indicators to create various interactive dashboards. The role will be conduct insightful ad hoc analyses to investigate ongoing or one-time operational issues. Experience required : 1 year Number of posts : 1 Required Skills SQL Oracle Agile framework Excel Degrees Business Computer Science Information Technology

Description · This is an entry-level position on our client's operations team, which is responsible for ensuring the quality of software. The team performs quality assurance on new software, reports bugs, and helps improve internal tools. · A great candidate for this position has a curious, analytical mind, and enjoys gaining new knowledge on the go in a fast paced environment. They are dedicated to their work, quality-focused, can handle repetitive tasks, and are willing to take initiative and go the extra step to help the team. · New team members will be given extensive training on our internal tools and workflows upon hiring. They are expected to keep all project details confidential. Responsibilities · Review and analyze testing data to identify problematic areas · Keep track of issues and make sure that they are addressed · Identify and report bugs · Create test scenarios and ensure high quality of test set by following guidelines/best practice · Maintain team documentation up to date Minimum Qualifications · BS/BA degree in science, technology, physics, mathematics, statistics, engineering, data analysis or similar fields · Entry level to 2 years of experience · Attention to detail · Excellent communication skills · Fast learner · Highly accountable individual Benefits We offer a wide range of benefits including Medical, Dental, paid holidays, and more. About Akorbi Akorbi is a group of companies, based in Dallas, Texas, specializing in providing enterprise solutions that empower organizations to achieve success in the global economy. Our customizable solutions include comprehensive workforce solutions, multilingual contact centers with business process outsourcing capabilities, interpretation, and localization services. Akorbi is the 13th fastest-growing woman-owned/led company in the world, according to the Women Presidents Organization. Our founders have been featured in The American Dream on the Bloomberg channel, as well as several notable publications, including Forbes, Inc. Magazine, TIME, Fortune and Google+.

Technical and Functional Skills : Primary: Data science Secondary: Python, AI/ML/NLP, Agile tools Experience: 7 to 10+ Years * 7+ years of experience as Data Scientist or related roles * Bachelor's degree in Computer Science, or a related technical field * Deep understanding and some exposure to new Gen AI Open-source Models * At least 5 years programming experience in software development and Agile process * At least 5 years Python (or equivalent) programming experience to work with ML/NLP models. * Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization * Experience in ML/NLP development pipelines of large data sets, both structured unstructured * At least 2 years' experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing * Knowledge and hands-on experience working with OCR products * Master's degree in Computer Science/Data Science, or a related technical field * Collaborating with a diverse set of partners and stakeholders from various Line of Business. * Highly motivated, proactive and a self-starter; strong sense of ownership ability to create and execute plans without daily oversight * Critical thinker; ability to analyze problems and identify issues and provide solutions * Ability to navigate the enterprise data assets across multiple functions. * Highly organized. Effectively prioritizes and balances multiple efforts in a fast-paced environment * Excellent communication and Presentation skills * Analytical abilities, great problem solving, client focused Salary Range- $95,000-$120,000 a year 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.

ARSENAULT is a global consulting firm helping some of the most recognized companies in the world work differently. Our success comes from a shared belief in rolling up our sleeves and doing the hard work of solving complex challenges, executing plans and implementing technology to help transform organizations. Working for ARSENAULT, you will be connected to work that matters, putting your expertise to its best use while developing skills for the future. The result is a career defined by you, supported by ARSENAULT and built on tangible accomplishments. As we continue to grow and deepen our impact on organizations around the world, we are looking for the right people to join us on our mission. If you are interested in being part of our team, there are a few things you should know: We are energized by challenges and the effort needed to solve them. We like working with people who are positive, adaptable and growth-minded. We care how work gets accomplished and are deeply invested in the success of our clients and our colleagues. If this sounds like you, we invite you to read on and learn more. THE ARSENAULT EXPERIENCE Whether you desire to work directly with clients or support those who do, ARSENAULT connects you to meaningful opportunities designed to put your talents to their best and highest use, and help you develop skills for today and tomorrow. As an ARSENAULT employee, you are a champion for your team, driven to develop their functional acumen in a manner that is transformative and valuable. You help guide people and organizations to be and become more than they thought possible and have the ultimate service mentality based on openness, understanding and teamwork. PURPOSE OF THE ROLE We are seeking an Associate Consultant for our Support Services Center (SSC), you will support internal and external clients to execute project initiatives. Under the supervision of the Manager in the SSC, you will utilize your functional experience in accounting/finance, information technology or supply chain, as well as your systems knowledge to contribute to the delivery of billable client engagements. Why work for the Support Services Center (SSC)? We enable ARSENAULT with an agile, on demand workforce to meet the growing demands of our clients. As the SSC, we provide ARSENAULT with an additional delivery model that can be leveraged across multiple solutions giving you the opportunity to grow and cultivate your career by working hands on with our clients. KEY RESPONSIBILITIES OF THE ROLE Responsible for the execution and quality of work for internal and external SSC projects and deliver results Identify opportunities to cultivate and support new business and revenue growth objectives with existing clients Support proposals and business development activities for SSC related engagements Organize and analyze data that tells a story and illuminates improvement opportunities Verbally and visually communicate/present ideas and articulate concepts in a clear, concise manner Understand, articulate and solve problems; grasp concepts and make logical decisions based on available information DESIRED EXPERIENCE AND REQUIREMENTS Bachelors degree in Business Administration, Accounting, IT/Information Systems, Computer Science or Supply Chain preferred 1 - 3 years of experience preferred; relevant internship experience will be considered Exceptional verbal and written communication skills with a high degree of professionalism and customer/client focus Proficient in MS Office, specifically Excel, & Smartsheet Dedication to continuous improvement and development of your skillset and talents BENEFITS INFORMATION Pay Range: $60,000-65,000 annual base salary Other Compensation: Discretionary incentive bonus All Compensation is commensurate with employee qualifications, experience, and other factors including geographic location, market and operational factors. Benefits: Medical, Dental, Vision, Life insurance, Disability insurance, 401(k) savings plan, Employee Stock Purchase plan, Professional development program, Paid Time Off, Paid Sick Time (in geographies where legally required) Equal Opportunity Employer ARSENAULT is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status, and encourage all applicants to apply.

Reporting to the Director of Institutional Effectiveness, the Research Data Analyst provides foundational expertise in research data management, analysis, and methodology needed for supporting The King's University's assessment and research projects, data collection, and decision-support services. The person in the position will combine a passion for research design with experience in managing and improving quantitative data assets and processes. RESPONSIBILITIES The essential functions, pursuant to the Americans with Disabilities Act, may include the characteristic duties and responsibilities noted herein, however, this list represents examples only, and is not a comprehensive listing of all functions and tasks performed by positions found in this job description. Position Specific Responsibilities Advises and supports the development of analysis plans for institutional studies and other data collection efforts; proposes additional data sources (e.g., IPEDS) to augment analyses. Leads the development and routine maintenance of standards for institutional survey design and sampling. Reviews and contributes to online survey programming. Supports the technical development of data collection tools, including the use of customized code for supporting special online survey requirements. Collaborates with the Data Governance Team to develop and maintain standards for data quality; identifies, proposes, and implements improvements to data cleaning and preparation procedures. Leads effort to automate data analysis needs in support of templated research products and services. Collaborates on the development of interactive data visualization, self-service reports, and dashboards that give both internal and external end-users the ability to analyze, communicate, monitor, and plan for the future. Advises on dataset formatting and needs, as well as data integration needs. Reviews institutional products and publications for appropriate analyses and statistical content, including review of infographics and data visuals. Respond to and prepares deliverables for ad hoc analysis requests from internal and external customers. Manage the budget and ensure effective use of fiscal resources. Identify and recommend policies and procedures related to the research practices of the University; plan and implement new operating procedures and technology to advance and improve service quality and efficiency of service delivery. Perform other related duties as assigned and participate in special projects as assigned. University-Wide Responsibilities Model core organizational beliefs and values; communicate openly and effectively within and across departments. Establish and maintain professional communication and ensure that all interactions are supportive, courteous, and respectful (TKU Social Covenant). Utilize effective communication skills to present information accurately and clearly both internally and publicly. Participate in professional development activities that are aligned with university, departmental and individual goals. Maintain accurate and complete records as required by governing entities (DOE, TRACS, ABHE, etc.); file all physical and computerized reports, records, and other documents required. Attend and participate in staff meetings and serve on committees as required. Comply with all policies, operating procedures, legal requirements, and verbal and written directives. Perform other related duties as assigned. QUALIFICATIONS Education: Bachelor's degree in statistics, biostatistics, economics, computer science, mathematics, or related field or bachelor's with equivalent experience. Master's degree preferred. Experience: 2-3 years experience in higher education. Experience with data visualization platforms (e.g., Tableau, Microsoft BI). Experience and use of computer software packages commonly used in survey research (e.g., Survey Monkey, Alchemer). Proficient with standard statistical techniques such as linear regression models, linear mixed models, clustering, m factor analysis, time-service models, and power/sample size estimation, data mining. 3-5 Years preferred. Experience with statistical packages (e.g., SPSS, SAS) is preferred. Experience with course evaluation packages (e.g., CoursEval, Watermark's Course Evaluations and Surveys) is preferred. Competencies: Excellent verbal and communication skills. Commitment to Excellence Planning and Organizational skills Attention to detail Self-Starter Problem-solving Data Analysis Aptitude for technology System Thinking Other Requirements Criminal Background Verification MENTAL/PHYSICAL/ENVIRONMENTAL DEMANDS Maintain emotional control under stress Lift up to 25 lbs.

Line of Business: Service & Support About Us Heidelberg Materials is one of the world's largest suppliers of building materials. Heidelberg Materials North America operates over 450 locations across the U.S. and Canada with approximately 9,000 employees. An internship with Heidelberg Materials is a unique experience. You'll receive hands-on training and mentorship from some of the most talented professionals in the industry, while making meaningful contributions throughout your time with us. Interns also have opportunities to engage with senior leadership, participate in community initiatives, and build lasting connections with peers both inside and outside the workplace. What You'll Be Doing Assist with data collection, cleansing and validation to improve quality of master and transactional data Support the team in identifying trends, patterns, and actionable insights Gain hands-on experience working within SAP systems Collaborate with multiple departments across the organization to streamline data workflows Help document data processes and contribute to daily quality improvement initiatives What Are We Looking For Student going into junior or senior year, currently pursuing a Bachelor's degree in data analytics, data management, or a related field Strong attention to detail and commitment to data quality Familiarity with Excel and interest in learning SAP Innovative mindset with a drive to improve processes Eager to learn, adapt, and contribute in a collaborative environment Equal Opportunity Employer - Minority / Female / Veteran / Disabled #Intern

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners. Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society. Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large. As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results. As a Data Scientist, you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will have the opportunity to contribute to multiple projects and multiple phases of the solution life cycle including solution design and implementation. Key Responsibilities Experience in the full ML lifecycle - understanding, developing, deploying, and maintaining traditional data science solutions. Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks. Strong programming skills in Python or PySpark. Solid understanding of supervised + unsupervised learning algorithms and concepts. Experience with data preparation, feature engineering, and data engineering practices. Understanding of supervised + unsupervised learning algorithms and concepts. Experience in the optimization and tuning of machine learning solutions to handle large volumes of data. Outstanding verbal and written communication skills. Excellent presentation and whiteboarding skills. Experience communicating highly technical concepts to non-technical audiences. Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements. Skills, Knowledge and Expertise Bachelor's degree in computer science or related field Experience building solutions with Azure AI Services (OpenAI, Vision, Speech, etc.), Microsoft Fabric or Azure Data Factory. AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus Experience with GitHub or Azure DevOps Prior consulting and business development experience a plus.

Founded in 1965 by Mack Pogue as Lincoln Property Company, Willow Bridge Property Company is one of the United States' most respected full-service residential property companies, operating a successful portfolio in 75 markets. Headquartered in Dallas, Texas, Willow Bridge proudly employs over 5,500 team members, has built over 200,000 apartments and manages 220,000 units for its clients. To learn more, visit willowbridgepc.com. We create places people want to call home - starting with you. With decades of proven success, Willow Bridge is a national leader in residential property management and development, active in 29 states and managing more than 230,000 apartment homes across the U.S. At Willow Bridge, our purpose drives everything we do. Whether you're launching your career or looking to take the next step, we're here to support your growth with intention, flexibility, and real opportunities to make an impact. The Willow Bridge Summer Internship Program is a 9-week experience designed to provide valuable hands-on work with a national leader in the property management industry. Your summer with Willow Bridge will include: * A 3-day orientation experience at HQ in Dallas, TX with opportunities to network and hear from senior leadership * Weekly internship meetings consisting of professional workshops, leadership speakers, and meaningful conversations * The opportunity to showcase your interests and learnings through a final project presentation to leadership at the conclusion of the program The program will run from June 1 - July 31, 2026. Responsibilities Responsibilities: We're currently hiring a Business Analyst Intern to work with our team based in Dallas, TX. We are looking for an entrepreneurial-minded person who enjoys building relationships with their team and customers. Does that sound like you? Become part of the Willow Bridge family and grow your career path today! * Partner with business teams to identify opportunities for process improvement and operational efficiency * Conduct market and internal research to inform business decisions and strategic initiatives * Support analysis of new opportunities, including ROI modeling and business case development * Assist in the preparation of executive presentations and project summaries * Track project timelines, deliverables, and key performance metrics * Participate in meetings and document key takeaways and action items * Regularly communicate progress and findings with the Director, Strategic Initiatives, and internship program directors Qualifications Qualifications: * Interest or desire to work in property management, real estate, or business strategy * Rising Junior or Senior pursuing a degree in Finance, Real Estate, Business Administration, or a related field * Proficiency with Microsoft 365 (Excel, PowerPoint, Word, Teams, SharePoint) * Exposure to AI productivity tools (e.g., ChatGPT, Copilot, Perplexity, Claude) and a willingness to learn new technology * Strong analytical and problem-solving skills * Excellent written and verbal communication skills

Contract Type: W2 Only Job Title: Data Scientist We are seeking a mid-level Data Scientist to join our team and help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy machine learning models, design and analyze A/B tests, and translate business objectives into data-driven insights that directly influence marketing and product decisions. This role is ideal for someone who enjoys combining statistical rigor, applied machine learning, and business impact in a fast-paced, collaborative environment. Required Skills: Research, prototype, and develop AI/ML solutions for customer segmentation and personalization. Design, execute, and analyze online controlled experiments (A/B tests, multivariate tests) to validate hypotheses and measure business impact. Build, deploy, monitor, and analyze machine learning models in production environments. Apply statistical experimentation techniques when launching and iterating on AI-driven products. Partner closely with data, product, marketing, and engineering teams to align solutions with business goals. Translate complex analytical findings into clear, actionable insights for non-technical stakeholders. Stay current with emerging tools, frameworks, and best practices in data science and experimentation. Deliver high-quality work on time with a strong focus on research rigor, innovation, and engineering excellence. Demonstrate measurable impact through data science applied to marketing and personalization use cases. Basic Qualifications: 2+ years of experience in statistical data science, feature engineering, and customer segmentation. 2+ years of hands-on experience with Python, SQL, and PySpark. 2+ years of experience training, evaluating, and deploying machine learning models. 2+ years of experience productionizing ML workloads in AWS or Azure. Familiarity with containerized deployments using Docker and/or Kubernetes. Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience. Preferred Qualifications: Experience working with the Databricks platform. Experience building ML models using large-scale structured and unstructured data. Exposure to MarTech ecosystems, such as: Customer Data Platforms (CDPs); Data Management Platforms (DMPs); Email Service Providers (ESPs) Experience integrating data science solutions into marketing and personalization workflows.