Data science internship jobs in Arlington, TX

Our client is seeking a Data Analyst to support internal user groups, deliver customer insights, and drive adoption of analytics tools within a large enterprise environment. This role is ideal for someone who enjoys combining data analysis, customer-facing collaboration, and process improvement. ✨ Data Analyst (Customer Insights & User Enablement) 📍 Location: Irving, TX | Onsite ⏳ 9-Month Contract What You Will Be Doing 🌟 What You'll Be Doing You'll be the go-to insights partner for multiple internal teams. Your mission? Help them see what the data is really saying and guide them in using those insights to make sharper decisions. Here's how you'll make an impact: 🎯 Turn Insights Into Action Show user groups real, meaningful case studies that highlight customer behavior and business opportunities Deliver insights that teams can confidently present and act on 🗣 Be the Voice of the Customer Work with teams on customer-centric sales and marketing strategies Coach team members so they understand not just the data, but the customer behind it 🤝 Drive Adoption: Training, Onboarding, Support Lead onboarding sessions and ongoing support Help users become confident, self-sufficient, and skilled with the insights tools 📊 Bring Analytics to Life Build ad hoc analysis, dashboards, and presentations Support both internal and select external commercial needs 📈 Shape Success Metrics Help define how we measure program impact, satisfaction, product usage, and productivity Track what's working and where we can improve 🚀 Remove Roadblocks Spot barriers early and help teams keep projects moving Facilitate communication across groups to maintain adoption and momentum 🔍 Keep a Pulse on Trends Review market and customer patterns Recommend fresh approaches that boost user experience and elevate performance 💡 In Short: You're part analyst, part customer advocate, part coach and 100% focused on helping teams use insights to make smarter, customer-focused decisions.

Title: Lead Data Scientist Duration: 12 month contract + extensions Required Skills & Experience 7+ years of experience as a Data Scientist Strong coding skills in Python (pandas, numpy, scikit-learn) and SQL. Experience with regression, elasticity estimation, clustering, and experimental validation. Comfort working with optimization outputs and constraints. Ability to wrangle data from cloud-based sources and iterate quickly with stakeholders. Job Description A retail client is hiring a Lead Data Scientist to join their Profit to Serve (PTS) initiative-a priority program driving scenario modeling and last-mile routing optimization to improve profitability and service. PTS is a foundational enabler in our AI strategy, connecting precision costing with automated insights and routing simulations. You'll work on-site in Plano, TX, partnering directly with transformation leaders to shape a high-impact initiative at the intersection of AI, data science, and operational excellence. If you love fast iteration, hands-on coding, and solving real-world business problems, this is your opportunity to make an impact at scale. What You'll Do • Build and iterate models for cost impact estimation, price elasticity, and routing optimization. • Design clustering approaches for route/service segmentation and validate optimization assumptions. • Translate ambiguous business questions into testable models and ship prototypes weekly. • Collaborate closely with business partners and data science leads to deliver reusable solutions.

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Job Title: Operations Data Analyst Duration: 14 Months to start (Possible extension) Our clients Site Operations team is seeking an Operations Data Analyst to help drive operational excellence by analyzing capacity, uptime, and performance across our data centers. This role is critical for enabling leadership to make informed decisions, optimize strategies, and ensure our infrastructure is running at peak efficiency. You'll work closely with operations, engineering, and data science partners to deliver actionable insights, maintain reporting code, and develop dashboards that support our core KPIs. Responsibilities Analyze operational data to assess capacity availability, uptime and operational efficiency. Generate and maintain weekly reports tracking team performance against core KPIs Clean, transform, and analyze data, often using proxy and regression analysis to address incomplete datasets Maintain and test code that produces reports and manages underlying data structures; integrate new data sources as needed Develop and enhance dashboards in collaboration with field teams and data scientists. Conduct predictive analytics to anticipate operational trends and risks on ad hoc basis Produce reports and whitepapers with actionable recommendations for leadership. Provide data supplied narratives that are connected to the business, determining what is important and its impact to the business/operation. Must-Have Skills 3+ years in data analysis, operations analytics, or a related field Proficiency in SQL for data extraction and analysis Proven experience in data analysis, including cleaning, transforming, and interpreting complex datasets Significant experience with data visualization tools and leveraging data driven models to drive business decisions. Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions and reporting results across various stakeholder groups (including executive level). Intellectual curiosity and initiative in identifying hypotheses and driving continuous improvement Collaborative, team-oriented mindset Nice-to-Have Skills Experience in operations, data center, manufacturing, telecom, or NOC environments. Familiarity with dashboard development tools (e.g., Bento, Tableau). Degrees/Certifications Bachelor's degree in an analytical field (e.g., Computer Science, Research, Statistics, Engineering)

Sunoco LP is a leading energy infrastructure and fuel distribution master limited partnership operating across 47 U.S. states, Puerto Rico, Europe, and Mexico. The Partnership's midstream operations include an extensive network of approximately 9,500 miles of pipeline and over 100 terminals. This critical infrastructure complements the Partnership's fuel distribution operations, which serve approximately 10,000 convenience stores, independent dealers, commercial customers, and distributors. At Sunoco, we take great pride in what we do and wholeheartedly believe our employees drive success for our company and our customers. We are always looking for the best and brightest talent and we are committed to making your job a challenging and rewarding experience. This is a twelve (12) week paid internship program beginning May 2026. You must be currently enrolled in an undergraduate or graduate degree program with an expected graduation date in Fall 2026 or Spring 2027 During your internship you will have direct access to senior leadership within the organization as well as the opportunity to work on high-impact strategic projects in addition to your core departmental responsibilities. This role is a fantastic opportunity for someone interested in learning about the oil & gas industry in a fast-paced, intellectually stimulating environment. Candidates will have the opportunity to express their department and location of preference during the interview process. Essential Duties and Responsibilities: * Develop and refine datasets, reports, dashboards, models that drive strategic decision-making * Manage project deployment pipelines that takes code from development environments to production. * Serve as a thought partner to your teammates, contributing to the team's strong problem-solving orientation. * Collaborate with cross-functional partners to ensure your work is understood and supported across the organization Requirements: Education and/or Experience, Knowledge, Skills & Abilities: To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. The requirements for this position are listed below: * Currently enrolled in college - we're open to candidates of all degrees - if you possess the intangibles above and the work sounds intriguing, we can teach you the rest * Preferably junior status * General requirements include self-motivated individuals, involvement in activities outside college studies. * Above average GPA * Distinctive problem-solving skills and an intellectual curiosity to solve unique and oftentimes complex problems. * Strong work ethic and high level of self-motivation and accountability to "get stuff done" - while you'll receive regular coaching and feedback, we intentionally position our interns to be able to own their work * Ability to operate effectively in a fast-paced environment with occasionally tight deadlines * Excellent written and verbal communication skills * Able to write database queries using the SQL programming language. * Experience with data cleaning in either the R or Python programming languages using packages such as `dplyr` and `pandas`. * Familiarity with version control systems such as Git.

Are you a data enthusiast with a desire to expand your understanding and experience with data analysis, visualization and data cleansing? As a Junior Data Science Analyst , you will have an opportunity to apply and develop your skills in analyzing large, complex, multi-dimensional datasets with a variety of tools and statistical environments, creating and implementing machine learning algorithms and advanced statistics and using statistical computing languages for data analysis -- such as R and Python. If you are ready to take your career to the next level, there has never been a better time to join ServiceLink! *Note- The Junior Data Science Analyst is a temporary role with an anticipated length of 3 months, intended to be an introductory/developmental role. A DAY IN THE LIFE In this role, you will… · Conduct research leveraging big data technologies that surface actionable insight that influence analytical solutions roadmap · Gather and process raw data at scale by using statistical packages like R, and programming language like Python · Process unstructured data into a form suitable for analysis - and then do the analysis. · Work with images, text documents and tabular data WHO YOU ARE You possess … · Recently graduated or currently pursuing Undergraduate / Master's degree in Computer Science or related field or equivalent work experience · Effective in fast paced environment · Collaborative/enjoys working in teams · Self-starter/motivator · Some experience in software or applications engineering and/or technical operations Responsibilities Critical thinking skills to assess how AI capabilities can best be applied to complex business situations. Work closely with engineering team to integrate your ideas, innovations and algorithms into production systems. Support business decisions with ad hoc analysis as needed. Having the ability to query databases with structured and un-structured data and perform statistical analysis Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing; Applying quantitative analysis and data mining expertise in presenting data to visualize beyond the numbers and the underlying trends and use that analysis in process automation Ability to perform in the following areas: o Analysis and Presentation o Exploratory Data Analysis o Predictive Data Analysis o Streaming Analytics Experience in creating and implementing machine learning algorithms and advanced statistics such as: regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks Proficiency with statistical computing languages for data analysis, such as R and Python preferred. You ask why, you explore, you're not afraid to blurt out your disruptive idea. You are constantly exploring new open source tools. Work on building deep learning models in production for predicting or classification. Analytical skills, with an emphasis on quantitative analysis, descriptive and inferential statistics a plus Qualifications Recently graduated or currently pursuing Undergraduate / Master's degree in Computer Science or related field or equivalent work experience Certification preferred but not required Some experience in software or applications engineering and/or technical operations Work and/or academic experience building applications using any of the following: o Large scale distributed databases as well as more traditional options: key-value, graph, SQL, NoSQL, time series o Machine Learning like R, Python o Deep knowledge on large scale object stores (e.g. HDFS) and the ecosystem of tools used for machine learning applications (e.g. spark etc.). In particular, we're looking for the flexibility to make decisions that best optimize for our applications and don't follow the crowd to a default answer. o Exposure to cloud environments preferable Azure o Experience handling data with relational databases is preferred o Knowledge of machine learning/distributed systems o SQL server or Oracle Effective in fast paced environment Collaborative/enjoys working in teams Self-starter/motivator Creative and effective problem solving skills Ability to work on/manage multiple tasks concurrently. We can recommend jobs specifically for you! Click here to get started.

WHO WE ARE Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, to simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech solutions enables us to support clients such as Stash, Betterment, SoFi, and Webull, and more than 20 million of our clients' customers. Collectively, AFS creates an environment in which companies with the biggest ideas in fintech are empowered to change the world. As a global organization, we have offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila. If you are seeking a fast-paced and entrepreneurial environment where you'll have the opportunity to make an immediate impact, and you have the guts to change everything, this is the place for you. AFS has received a number of prestigious industry awards, including: * 2021, 2020, 2019, and 2018 Best Wealth Management Company - presented by Fintech Breakthrough Awards * 2021 Most Innovative Companies - presented by Fast Company * 2021 Best API & Best Trading Technology - presented by Global Fintech Awards ABOUT THIS ROLE We are seeking a highly motivated Data Strategy Intern to join our team. This intern will play an integral role in supporting our efforts to refine workflows, analyze data, and help teams execute efficiently. This role combines elements of strategy development, data analysis, and client implementation support-offering you hands-on experience in executing projects at scale. To be considered, you must be able to commit to a 10-week hybrid internship and work 40 hours per week during our summer program Key Responsibilities: * Data Analysis and Research: Conduct analysis and research on industry trends, prospects, clients, and competitors * Project Management: Support revenue operations projects and manage initiatives that track client revenues & cost allocations, streamline vendor process management, and identify revenue or cost-saving opportunities * Process Documentation: Work with stakeholders to collaborate across Product, Business, and Customer Service to develop internal and client-facing policies * Process Creation, Optimization, and Automation: Create efficiency-oriented processes to streamline operations * Collaboration: Work closely and cross-functionally with members of Sales, Marketing, Finance, Operations, Relationship Management and Solutions teams Education and Experience: * Currently pursuing or recently completed a degree in Business Administration, Math, Stats, Econ, Data Analytics, MIS, Information Technology, or a related field. * Senior standing, May 2027 graduate * Strong analytical skills and attention to detail, with experience in data analysis. * Familiarity with SQL. * Basic understanding of platform services and metrics creation is a plus. * Strong knowledge of Microsoft Excel, Word, and PowerPoint * Ability to think strategically and solve problems * Strong track record of independent work and leadership ability * An analytical mind, willing to continually roll up your sleeves and dig deeper into everything put in front of you * Excellent informal and formal written, verbal, and presentation communication skills * Ability to manage multiple tasks and prioritize effectively in a fast-paced environment. * General interest in Fintech. Preferred Skills: * Experience with Claude Agentic AI * System Design * Data Base Structure Work Environment: * This internship operates in an office environment. * This internship operates on a hybrid schedule in Austin, TX or Dallas, TX Salary: * $25 per hour. #LI-DNI Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Our Rewards We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS, we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices. EEO Statement Apex Fintech Solutions is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics. Disability Statement Apex Fintech Solutions is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please submit your request via the Candidate Accommodation Requests Form. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.

Under the guidance of the HSSE team, the successful candidate will support the implementation of a new software platform, including the migration of data from the previous system. The intern will assist in rebuilding and enhancing Power BI dashboards based on legacy designs, integrating new API connections to ensure seamless data flow and automation. This role offers hands-on experience in data transformation, data mining, dashboard development, and regulatory reporting. The candidate will contribute to high-impact regulatory projects while gaining exposure to modern data analytics tools and practices. Responsibilities: * Assist in migrating historical data from the legacy platform to the newly implemented software system. * Rebuild and enhance Power BI dashboards using new API connections, ensuring continuity with previous reporting formats. * Develop automated reports for related safety metric tracking to support regulatory compliance. * Collaborate with internal teams to understand data sources, validate accuracy, and improve reporting efficiency. * Assist in updating the ESG website with 2025 information, maintaining consistent style and messaging. Preferred Degree Background: * Rising junior or senior pursuing an undergraduate degree or master's in IT, Computer Science, Data Analytics, or a related field * Minimum of 3.0 grade point average. Required Skills/Knowledge * Proficiency in Power BI (must be able to use the software independently). * Experience in data mining, transformation, and visualization. * Familiarity with data connections, automation, and reporting tools. * API experience is a plus but not required. * Ability to work independently while collaborating with the team or outside departments for business context. * Strong critical thinking and adaptability. * Excellent communication skills to translate data insights into meaningful reports. Company Highlights: * For 90 years, we have nurtured creative ideas and turned them into successful realities using three core strategic pillars - creativity, excellence, and people * Free covered employee parking for Dallas HQ based employees * Free specialty coffee bar in the Dallas HQ * Onsite breakfast and lunch area in the Dallas HQ * Commitment to the following ideals: * Work/Life Balance * Ongoing professional development opportunities * An exceptional employee experience Hunt is committed to a diverse and inclusive workplace. Hunt is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #LI-ONSITE #LI-huntenergy

**Change the world. Love your job.** Texas Instruments is seeking Facilities Engineering Interns for an exciting opportunity within our global facilities organization. As a Facilities Intern, you will receive significant projects related to your major that are challenging and beneficial to the organization. The Texas Instruments Facilities organization is responsible for managing operations at TI facilities worldwide, designing and constructing new facilities, and overseeing engineering projects to optimize processes and systems. Within the Facilities organization, the Smart Manufacturing and Automation (SMA) team focuses on long term business growth through four key areas: Cost Leadership, Quality, Technology, and Benchmarking. By leveraging industry-leading tools, methods, and processes, the team seeks to enable long-term success and establish benchmarks for performance excellence. As a Facilities Data Analytics Intern, you will play a critical role in designing and developing our data infrastructure, ensuring the accuracy, scalability, and security of our data systems. Put your talent to work with us as a Facilities Engineering Intern! Texas Instruments will not sponsor job applicants for visas or work authorization for this position. **Why TI?** + Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. + We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI (*************************************** UI/CandidateExperience/en/sites/CX/pages/4012) + Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. **About Texas Instruments** Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws. If you are interested in this position, please apply to this requisition. **Minimum Requirements:** + Currently pursuing a undergraduate degree in Data Engineering, Computer Engineering, Computer Science, or related degree + Cumulative 3.0/4.0 GPA or higher **Preferred Qualifications:** + Strong foundation in database mgmt. and Architecture strategies (Relational, Document & Graph) + Proficiency in SQL, Python, R, Javascript, etc. + Experience with statistics, algorithm development, and data visualization + Demonstrated analytical and problem-solving skills + Strong verbal and written communication skills + Ability to work in teams and collaborate effectively with people in different functions + Strong time management skills that enable on-time project delivery + Ability to work effectively in a fast-paced and rapidly changing environment + Ability to take the initiative and drive for results + Ability to build strong, influential relationships **ECL/GTC Required:** Yes

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

Job Description Higher Power Recovery LLC: Do you have an 'investigative nature' and a heart to serve people? A fast-growing, Christian-based, Excess Proceeds Recovery company needs help with online research and data entry. Benefits Annual Base Salary + Commission + Bonus Opportunities Hands on Training Mon-Fri Schedule Career Growth Opportunities Evenings Off Responsibilities Use online platforms to pull foreclosure auction lists and search for sales results. Research deed records, appraisal district, and civil court records to find original debt on the foreclosed property, ultimately searching for an overage or 'excess proceeds'. Enter property debt information, owner information, and related documents into an online system/tracker. Requirements Must have a servant's heart to help people! Must be able to type at least 50+ wpm Paralegal or Real Estate background is helpful/preferred but not required. Be capable of multitasking two screens at once Must have excellent attention to detail Must be proactive in problem solving Must have an 'investigative nature' Have no felonies Must have reliable transportation Preferably live near Arlington office location (within 20 min or less) Extensive training will be provided. NOT a remote position Hours M-F 8:30-5:30 Hourly + Commission

Under the guidance of the HSSE team, the successful candidate will support the implementation of a new software platform, including the migration of data from the previous system. The intern will assist in rebuilding and enhancing Power BI dashboards based on legacy designs, integrating new API connections to ensure seamless data flow and automation. This role offers hands-on experience in data transformation, data mining, dashboard development, and regulatory reporting. The candidate will contribute to high-impact regulatory projects while gaining exposure to modern data analytics tools and practices. Responsibilities: Assist in migrating historical data from the legacy platform to the newly implemented software system. Rebuild and enhance Power BI dashboards using new API connections, ensuring continuity with previous reporting formats. Develop automated reports for related safety metric tracking to support regulatory compliance. Collaborate with internal teams to understand data sources, validate accuracy, and improve reporting efficiency. Assist in updating the ESG website with 2025 information, maintaining consistent style and messaging. Preferred Degree Background: Rising junior or senior pursuing an undergraduate degree or master's in IT, Computer Science, Data Analytics, or a related field Minimum of 3.0 grade point average. Required Skills/Knowledge Proficiency in Power BI (must be able to use the software independently). Experience in data mining, transformation, and visualization. Familiarity with data connections, automation, and reporting tools. API experience is a plus but not required. Ability to work independently while collaborating with the team or outside departments for business context. Strong critical thinking and adaptability. Excellent communication skills to translate data insights into meaningful reports. Company Highlights: For 90 years, we have nurtured creative ideas and turned them into successful realities using three core strategic pillars - creativity, excellence, and people Free covered employee parking for Dallas HQ based employees Free specialty coffee bar in the Dallas HQ Onsite breakfast and lunch area in the Dallas HQ Commitment to the following ideals: Work/Life Balance Ongoing professional development opportunities An exceptional employee experience Hunt is committed to a diverse and inclusive workplace. Hunt is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #LI-ONSITE #LI-huntenergy

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

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.

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*

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.

Full-time Description Multiple Locations Offered: Dallas, Nashville, Denver, Chicago, Philadelphia and New York VMG Health supports a nationwide network of clients with over 70,000 engagements, exclusively in the healthcare industry. Our national client base ranges from large health systems to small practices and everything in between, including investors and private equity firms. VMG Health provides a solutions-oriented approach to client needs through our strong market position, extensive contacts, unparalleled tools and solutions, and expert insights. We are proud to serve as the single source for all our clients' valuation, strategic, and compliance needs. Requirements Analysts will support all members of their team on a variety of healthcare engagements. Primary responsibilities will be data collection, client financial analysis, financial modeling, due diligence, report writing, and supporting senior level staff. Provides expert opinions and advisory services, acting as an independent third party, performing business valuations in support of healthcare transactions to ensure regulatory compliance, assist clients without experience in valuation, or to provide both parties comfort that the consideration included in a transaction is consistent with market levels. RESPONSIBILITIES: Gather information and data such as, but not limited to, financial statements, operational reports, industry and market research, and any other data or information required to thoroughly provide the contracted product to the client. Construct and take ownership of complex financial models utilized to determine the value of ownership interests in healthcare-related entities. Perform various financial analyses, develop financial models, conduct due diligence, and complete report writing. Review own work and that of teammates to ensure quality of product. Participate in calls and site visits as necessary and determined by supervisors. Keep all team members informed of project progress and keep all projects and deliverables on the time schedule established with the client. Immediately inform supervisor if circumstances arise to impede or jeopardize that timeline. Actively pursue continuing education and certifications such as CFA, NACVA, American Society of Appraisers, Certified Public Accounting, etc. Desire to become a thought leader within the industry by helping author internal and external content for articles and presentations. QUALIFICATIONS: Bachelor's degree in finance or accounting Acquiring financial modeling experience through university and/or internships Ability to work independently with minimum supervision. Attention to detail and ability to review personal work and peers' work. Excellent written and oral communication skills. Ability to present ideas in a business-friendly language and tailor formal and informal communications to the audience. Ability to build consensus both internally and externally. Ability to work independently with minimum supervision. Attention to detail and ability to review personal work and peers' work. Excellent written and oral communication skills. Ability to present ideas in a business-friendly language and tailor formal and informal communications to the audience. Ability to build consensus both internally and externally. Client-oriented work ethic and excellent interpersonal skills. Ability to build and manage relationships with key clients to ensure the success of each engagement. Excellent collaboration and team orientation skills. Desire to contribute thought leadership to engagements and organizational knowledge while working with a variety of personalities at all levels, both internally and externally. Tenacity, intellectual curiosity, and a drive for continuous improvement. Proficient in Microsoft Office; strong knowledge Excel, Word and PowerPoint Attention to Detail Travel - May be required up to 5%

Big challenges need bold thinkers. If you're someone who sees problems as opportunities, you'll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we've tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability. At RESPEC, you'll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems. We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you'll fit right in. We do not accept unsolicited resumes from third-party recruiters. Job Description RESPEC is seeking an Business Analyst Intern to join our Data and Technology Solutions team in our Richardson, TX office. RESPEC's Data & Technology Services business unit is seeking a Business Analyst Intern to support various projects and gain hands-on experience in project management, business analysis, and software development processes. This internship offers an exciting opportunity to work alongside experienced professionals, develop critical analytical and communication skills, and contribute to meaningful projects. Responsibilities: Assists in gathering and documenting business requirements, user stories, and business process flows. Supports the project team in performing quality assurance testing and user acceptance testing (UAT). Participates in client meetings, including taking notes, tracking action items, and preparing meeting summaries. Collaborates with cross-functional teams to understand project needs and ensure business requirements are met. Conducts research on industry best practices and trends to support project initiatives. Helps develop project documentation, including status reports, test cases, and workflow diagrams. Learns and applies project management methodologies. Support the team in tracking project progress, risks, and issues. Qualifications Currently pursuing or recently completed a Bachelor's degree in Business, Information Systems, Data Analytics, or a related field Strong analytical and problem-solving skills Excellent verbal and written communication skills Ability to work collaboratively in a team environment Strong organizational skills and attention to detail Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) is preferred Familiarity with project management and collaboration tools like Jira, Confluence, or Smartsheet is a plus Passion for learning and developing new skills in business analysis and project management. Additional Information Compensation: Salary depends on experience. This is temporary part-time position. No benefits are offered except those that are required for statutory purposes. All your information will be kept confidential according to EEO guidelines.

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience