Data science internship jobs in Madison, WI

**The Program:** Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor's and master's degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us! **The Company:** Oracle is the world's leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com. **What You'll Do:** Data Scientist Intern responsibilities may include, but are not limited to: Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization. Develop models to build solutions to tackle real-world business problems Interact with product and service teams to identify questions and issues for data analysis and experiments Communicate your analysis findings to product, service, and business managers We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle. **What You'll Bring (Objective Minimum Qualifications):** To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. **Please ensure that your application clearly indicates that you meet these OMQs** , either on your resume and/or by uploading additional documents such as a transcript. Will be enrolled in a Bachelor's, Master's or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the 2025-2026 school year. Have completed **at least your junior year** toward your undergraduate degree, or higher, by summer 2026. Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in **at least one** of the following programming languages: Python, Java, R, SQL, PL/SQL. Have experience through coursework, projects, internships, and/or research with **at least one** of the following libraries: Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark Have completed coursework, projects, internships, and/or research in **two or more** of the following: Algorithms Artificial Intelligence Big Data Query Data Mining Data Modeling Machine Learning Statistical Inference/Analysis Attend a university in the US. Authorized to work in the US in 2026. No visa sponsorship available Must be enrolled in a university prior to and following internship completion What We'll Give You: **High-impact projects:** You'll get the opportunity to directly influence our cutting-edge products. Got a question or idea? Voice it. Your curiosity could help advance our next-generation cloud applications and help us find new ways to apply emerging technologies like AI, machine learning, and blockchain. **Mentors that care:** Work with industry-leading professionals and award-winning engineers. On top of your project supervisor, you'll be assigned a peer mentor-a recent hire who can help you navigate the internship experience. You'll also be paired with intern buddies to ensure 360 degree support and engagement. **World-class training:** Grow from once-in-a-lifetime learning opportunities and exposure to the newest technologies. You'll benefit from comprehensive on-boarding and job-specific training that will help you get the most out of your time with us. Leadership training will help you build your eye for business. **A fun-filled summer:** Enjoy a close-knit, community experience alongside your class of fellow summer interns. Our interns work across the length and breadth of our business but come together for fun weekly events like tech talks, networking, volunteering, and fun social happenings. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from $19.62 to $53.00 per hour; from: $40,800 to $110,240 per annum. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC0 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

Primary DetailsTime Type: Full time Worker Type: Employee Title: Data Science and Machine Learning Engineering Intern (Summer 2026) The Opportunity: At QBE, we believe machine learning and AI can transform the insurance industry - making it smarter, faster, and more human. Our Data Science and Machine Learning Engineering team builds real-world solutions that support Pricing, Underwriting and Claims, driving innovation and impact across the business. We value curiosity, clarity, craftsmanship, and collaboration - and we're looking for team members who share these values. As an intern, you'll contribute to building and deploying ML and AI systems that solve practical business problems. This role is ideal for someone eager to apply technical skills, learn from experienced peers, and grow in a fast-paced, supportive environment. Location: Sun Prairie, Wisconsin Work Arrangement: This role is hybrid, where you will be expected to be in the office 4 days per week at our Sun Prairie, WI office The salary range for this role is between $18-$27.00 an hour Your new role Use data to uncover insights that improve underwriting and operations. Build and evaluate models, explore new features, and collaborate with teams to deliver measurable impact. Contribute to the development and maintenance of deployment pipelines, ensuring models are robust, reproducible, and scalable. Write clean, efficient, and well-documented Python code using libraries such as pandas, numpy, pydantic, and FastAPI. Learn and apply modern ML tools and frameworks such as Transformers and MLflow. Stay curious - ask questions, seek feedback, and continuously improve your skills. Required Qualifications Current enrollment in a Bachelor's in Computer Science, Engineering, Mathematics, Data Science, or a related field. Working knowledge of Python; ability to quickly learn new Python packages and programming concepts. Preferred Competencies/Skills Proficiency in Python and familiarity with core data science libraries (e.g., pandas, numpy, scikit-learn). Exposure to cloud platforms (especially Azure) and containerization tools like Docker. Understanding of MLOps concepts such as Git, CI/CD, and model lifecycle management. Familiarity with model validation and monitoring practices. Strong communication skills and a collaborative mindset. Eagerness to learn and grow - technically and professionally. Why QBE? What if you could have a positive impact - at work and in the world? At QBE, we're enabling a more resilient future - for our customers, communities, environment, and for our people. We're building momentum to achieve something significant and know our people are at the center of our success. Our industry offers interesting and varied careers where you can help people to protect what matters most. As part of the QBE team, you'll get to spend every day working with people who are passionate, talented and kind. And our international scale means we're big enough for your ambitions, yet small enough for you to make a real impact. Join us now, so you can be part of our success - and we can be part of yours! *************************************************** QBE is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with QBE, please inform our Talent Acquisition team to let us know the nature of your accommodation request and your contact information. Equal Employment Opportunity: QBE provides equal employment opportunities to applicants and employees without regard to race; color; gender; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; protected veteran status; or disability or any other legally protected status. This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full-time basis without the need for current or future sponsorship. Supplementary information Skills: Collaboration Tools, Communication, Critical Thinking, Data Entry, Document Management, Email Management, Financial Products, Hands-On Learning, Intentional collaboration, Managing performance, Microsoft Applications, Report Writing, Research Analysis, Self Motivation, Time Management How to Apply: To submit your application, click "Apply" and follow the step by step process. Equal Employment Opportunity: QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values. Responsibilities Job Summary The Data Governance Analyst will support the development and execution of enterprise-wide data governance initiatives. This role will focus on ensuring the integrity, quality, and protection of data assets through the implementation of governance frameworks, data quality controls, and metadata management practices. The Analyst will work closely with business units, IT, and compliance teams to support the organization's data governance strategy and ensure alignment with regulatory and risk management expectations. Salary Range The annual salary range for this position is $60,000.00 - $121,300.00. Final compensation will be determined by location, skills, experience, qualifications and the career level at which the position is filled. Key Accountabilities Data Governance Operations Assist in the implementation and maintenance of the enterprise data governance framework, including policies, standards, and procedures. Support the development and execution of data quality rules, issue tracking, and remediation processes. Maintain and enhance metadata repositories and data catalogs using tools such as Informatica or Microsoft Purview. Data Stewardship and Collaboration Partner with data owners, stewards, and business units to define and document data definitions, lineage, and usage. Facilitate working groups and workshops to gather requirements and promote data governance awareness across the organization. Risk and Compliance Support Monitor and report on data governance metrics, including data quality trends, audit findings, and remediation progress. Support internal and external audits by providing documentation and evidence of data governance controls and practices. Project and Initiative Support Contribute to enterprise initiatives such as the Modern Data Platform migration, report certification programs, and regulatory reporting enhancements. Participate in cross-functional projects to ensure data governance requirements are embedded in system implementations and process changes. Qualifications and Education Requirements Bachelor's degree in information systems, Business, Risk Management, or a related field. 2+ years of experience in data governance, data management, or risk/compliance roles. Familiarity with data governance frameworks (e.g., DCAM, NIST Privacy Framework, FFIEC). Experience with data quality tools, metadata management platforms, and reporting tools. Strong analytical, communication, and collaboration skills. Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law. We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, to fill a specific position. Our culture is firmly rooted in our core values. We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical. We are Old National Bank. Join our team! We can recommend jobs specifically for you! Click here to get started. If you're qualified for a position but need additional help with the application because of a disability, please email ************************** (This email will respond to accommodation requests only.)

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Making a Difference The State of Wisconsin Investment Board (SWIB), founded in 1951, is a premier global investment organization responsible for managing the more than $162 billion of assets of the fully funded Wisconsin Retirement System (WRS), the State Investment Fund and other state funds. Through SWIB's effective and innovative investment management, WRS remains one of the only fully funded US public pensions. The WRS consistently ranks among the 10 largest public pension funds in the U.S. SWIB is recognized by the investment industry for our teamwork and innovation. SWIB pursues sophisticated global investment strategies across the asset and risk allocation spectrum. Providers across the investment ecosystem seek to partner with SWIB. Serving more than 692,000 beneficiaries of the WRS, SWIB is a mission-driven organization focused on providing a strong financial future to those who committed their careers to public service. For public employees and the 1,607 Wisconsin employers who contribute on their behalf, we are a trusted partner. Our team innovates continuously to meet the challenges of an evolving investment landscape while growing and protecting the assets of the WRS. SWIB provides a strong, steady economic pillar for the state of Wisconsin by growing the trust funds under its management, managing risk, and optimizing costs of the long term. We are a mission-driven organization and the participants we serve are our mission. By bringing a disciplined, prudent, and innovative approach to market opportunities, SWIB has been successful in generating required returns and maintaining the trust of the beneficiaries and stakeholders of the funds we oversee.Home To Top TalentOur high-performing staff is key to what makes us a premier investment manager. SWIB is committed to investing in talented professionals to implement our robust, sophisticated investment strategies and to keep the organization at the forefront of the investment industry. We encourage innovation and offer professional development opportunities to help staff sharpen and expand their skills. Approximately 61 percent of SWIB's investment professionals are Chartered Financial Analyst (CFA) charterholders. Job Description: About the Team The Data Strategy & Information Delivery Division is a growing, client service-oriented team. We are business-centric, working closely with the investment management and operational teams to anticipate and meet their complex information and reporting needs. With the combination of Data Science, Reporting, and Data Management, we are transforming SWIB into a premier data driven organization. Position Overview SWIB is seeking a Data Science intern to work on the Data Science team. The intern will work up to 40 hours per week over the summer, with the possibility of further work for 10-15 hours per week during the school year, if the selected candidate is local. Essential activities: Assist in collecting, cleaning, and analyzing large investment and market datasets. Support development of predictive models, statistical analyses, and data visualizations to guide investment strategies. Collaborate with cross-functional teams, including portfolio managers, to translate business needs into actionable data solutions. Participate in research initiatives focused on alternative data, quantitative analytics, and emerging investment technologies. Document methodologies, findings, and recommendations. The Ideal candidate: Ability to work in Madison, WI for an approximate 10-week period beginning late May/early June 2026. Ability to understand results in context (i.e. when does something look wrong). Working with large, structured data sets. Interest in investment management and quantitative finance. Background in Agile methodologies. Extensive SQL background. Passion for AI/ML. Additional technologies may include R, Python, Power BI.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

For one of our ongoing multiyear projects, we are looking for a Data Warehouse Analyst out of Madison, WI. This position is for a dedicated IT Business Analyst; please do not submit ETL developers for this role. We are looking for a strong practitioner with 5 or more years of business requirements elicitation, documentation, stakeholder communication, requirements verification, testing, quality assurance and data analysis activities as primary job responsibilities. Furthermore, we are looking for an engaged analyst willing to participate in and actively document different aspects of the project lifecycle. Preference will be given for candidates who have previous experience working in a BA/QA capacity on data warehouse/business intelligence projects. Responsibilities: • Ability to organize and lead meetings with technical, business, and operational data owners from a wide array of backgrounds. • Coordinates and communicates between business users and the business intelligence team. Manages the balance between business requirements and user expectations throughout the entire project lifecycle. Strives for a deeper understanding of our customers' business drivers. • Ability to document and speak competently to business objectives, gaps, needs and problems. Once documented, can leverage the knowledge and materials to help the IT team devise product and process solutioning that can be delivered to meet the defined needs of the business users. Works closely with the business users to document business processes. Focuses on specific business user needs such as how data is to be summarized, used in day-to-day operations and formatted in reports and dashboards. • Uses experience as a liaison between business users and technologists to drive requirements into design, development, system testing, UAT and product deployment. • Assists the IT team in the creation of adhoc documentation, including but not limited to; enhancement business requirements, charter contributions, process mapping, data flow diagrams, issue papers, options documents, report/dashboard requirements, requirement traceability matrixes, security assessments and other documents as assigned. • Produces and executes business scenario test plans and test cases to meet functional requirements. Identifies and logs issues and manages through to resolution by working with the appropriate project resources. Demonstrates ability to communicate test results and possesses very strong analytical and organizational skills focusing on QA test process and its relationship to producing a quality end product. Desirable to have a good understanding of QA methodologies, testing techniques and BI development lifecycles. • Demonstrates ability to manage competing priorities across multiple efforts at varying stages within the development lifecycle; keep up with fast-paced schedules; and learn new technologies quickly and effectively. Independently performs a variety of complicated tasks and relies on experience and judgment to plan and accomplish goals. • Works independently and with team members to understand database structure, business process and the correlation between the two. Comfortable in a complex data environment and understanding of data structures. • Ability to convey work and results to a wide variety of internal and external stakeholders from both technical and non-technical backgrounds. Must Have: Business processes improvement Develop and implement test plan and test cases Standardized processes and procedures implementation General Competencies Experience communicating effectively across a wide variety of stakeholders Experience independently facilitating meetings Experience producing a wide array of project documentation Problem troubleshooting, diagnostic, planning and time management Familiarity with state privacy statutes Data flow diagramming Experience in requirements gathering for data warehouse Participate in design reviews Documenting business processes Process mapping current state and future state processes in Visio Requirements analysis Requirements gathering Requirements traceability matrix development Nice to Have: Understands QA methodologies and testing techniques General Competencies Experience in business intelligence Experience in the Human Services field Data analysis Experience in data warehouse design and development Develop design specifications Knowledge of Kimball data warehouse design principals

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Coinbase's Unit 0x is a specialized on-chain investigations team at the forefront of securing the crypto ecosystem. We identify, analyze, and mitigate critical on-chain threats-including exploits and illicit activity-using advanced blockchain analytics and investigative techniques. Our mission-driven team protects both Coinbase and the broader web3 community from emerging risks. As an Onchain Data Analyst & Researcher, you'll lead challenging investigations into illicit activity, proactively research threat actors, and develop scalable methods to detect suspicious patterns. You'll play a key role in high-risk incidents, special projects, and the continuous improvement of our investigative processes. Success in this role requires curiosity, strong blockchain data analysis skills, and a passion for uncovering and neutralizing threats. If you thrive on solving complex problems with data and want to help shape a secure future for blockchain adoption, we want you on our team. Onchain is the new online. Join us in building a secure future for the next billion users. *What you'll be doing (ie. job duties):* * Conduct in-depth investigations and research into illicit activity, scams, onchain exploits, and vulnerabilities, using blockchain analytics and clustering techniques to surface suspicious trends and patterns. * Analyze and document exploit methodologies, attack vectors, abuse patterns, and incident impacts, providing actionable intelligence to strengthen Coinbase's security posture. * Develop and automate scalable methods for detecting and understanding emerging threats, including building dashboards, writing queries, and supporting incident response with clear, quantitative reporting. * Collaborate with cross-functional teams to educate and advise on evolving exploit tactics, risk landscapes, potential mitigations and investigative best practices. * Monitor and research threat actors, their environments, and emerging blockchain trends to stay ahead of illicit activity and technological developments. * Respond to urgent, sensitive cases with discretion and professionalism, and support team members as needed. * Handle highly sensitive cases with respective urgency and discretion; * Other duties and responsibilities as required or assigned. *What We Look For In You (i.e., Job Requirements)* * A well-organized self-starter who is able to constantly learn and work autonomously; * Ability to handle highly sensitive information; * Excellent writing, analytical and communication prowess; * Deep knowledge of blockchain ecosystems and; * Investigative mindset; * Strong SQL skills - particularly around on chain analysis in conjunction with working knowledge of abuse vectors; * Knowledge to leverage AI to 10x output. *Nice to haves:* * Previous experience in corporate OSINT analysis * Experience with Dune Analytics, Flipside, and/or Chainbase. Position ID: P70663 \#LI-Remote *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $144,500-$170,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process. Are you passionate about improving patient health outcomes, optimizing healthcare processes, and advancing science? Join our dynamic Informatics and Information Technology team at the University of Wisconsin School of Medicine and Public Health in Madison, Wisconsin. We are committed to revolutionizing healthcare through implementation of advanced data science approaches, conducting cutting-edge data-centric research, and generating real-world evidence to improve patient health outcomes at UW Health and beyond. We are seeking an experienced informatician/Data Scientist to be our Patient Reported Outcomes Data Scientist. On a day-to-day basis, the incumbent could expect to engage in the following activities: Work with stakeholders to develop and modernize patient reported outcomes collection, storage, and utilization Integrate research workflows into the collection of patient reported outcomes for clinical purposes. When appropriate, coordinate with the technical teams to ensure data feeds from Epic to REDCap and vice-versa. Assist users in designing, developing, and managing REDCap projects related to patient reported outcomes, including data collection instruments, surveys, and databases. Coordinate with technical teams to troubleshoot and resolve technical issues related to patient reported outcomes data usage and functionality. Develop and maintain comprehensive documentation, user guides, and training materials the use of patient reported outcomes data. Conduct workshops, webinars, and one-on-one training sessions to enhance user proficiency with patient reported outcomes data. Collaborate with infrastructure and data teams to ensure the patient reported outcomes data storage is up-to-date and operating efficiently. Monitor and evaluate user feedback to identify areas for improvement and implement enhancements to the patient reported outcomes support services. Stay current with the latest developments and best practices in data management. It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. This position is part of the Wisconsin Research, Innovation and Scholarly Excellence (RISE) Initiative. Through accelerated and strategic faculty hiring, research infrastructure enhancement, interdisciplinary collaboration, and increased student and educational opportunities, RISE addresses complex societal challenges of importance to the state, nation and world. Building on UW-Madison's strengths, RISE expands the University's successful track record of connecting with communities and industry on collaborative solutions. Over the next three academic years, UW-Madison will substantially increase current hiring levels, bringing 150 new RISE faculty to campus. Candidates hired through RISE will join a community of scholars working across disciplines, schools and colleges on research, teaching and outreach endeavors. The community will engage regularly in venues such as seminar series and colloquia to share ongoing projects and identify opportunities to work together. The University will support the community, facilitating access to research infrastructure, and funding to support broad and rich collaboration. Further information regarding RISE can be found at: *********************** Key Job Responsibilities: Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators Contributes to the informatics and IT education and training initiatives Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies and represents the interests of data science Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources Organizes and automates project steps for data preparation and analysis Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows Participates in interdisciplinary and collaborative efforts with other departments, schools and colleges Department: School of Medicine and Public Health, Office of Informatics and Information Technology, RISE. This position is within the School of Medicine and Public Health's Office of Informatics and Information Technology (IIT). IIT is a multidisciplinary team of data scientists, engineers, developers, and IT support staff. We offer a variety of Informatics and IT services to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research. Informatics: We provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health. Technology Solutions: We provide technology solutions to the School of Medicine and Public Health including cybersecurity, educational technology, and IT support. Compensation: The starting salary for the position is $95,000; but is negotiable based on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage. SMPH Faculty /Academic Staff Benefits Flyer 2026 Required Qualifications: Proven experience with REDCap, including project design, data management, and user support. Strong technical skills and familiarity with database management and data collection tools. Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical users. Strong problem-solving and analytical abilities. Ability to work independently and as part of a collaborative team. Preferred Qualifications: Experience in a research or academic environment. Knowledge of regulatory requirements and standards related to research data (e.g., HIPAA, GDPR). Familiarity with other data management and analysis tools (e.g., SQL, R, Python). Education: PhD preferred; focus in Biomedical Sciences, Data Science, Epidemiology, Informatics, Information Technology, or a related field preferred How to Apply: For the best experience completing your application, we recommend using Chrome or Firefox as your web browser. To apply for this position, select either “I am a current employee” or “I am not a current employee” under Apply Now. You will then be prompted to upload your application materials. Important: The application has only one attachment field. Upload all required documents in that field, either as a single combined file or as multiple files in the same upload area. Upload required documents: • Cover letter • Resume Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work. Contact Information: Cody Roekle, ****************, ************ Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website. To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you. Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals. Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics. Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default) With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events. Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns. Role: Data Scientist Location: Madison, WI Full Time (Direct Hire) Job description · 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. · Experience in Statistical modeling. · Candidate will be helping the client to lead this process or improve upon the program. · Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing. · Extremely efficient in Python and R. · Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must. · Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge. · MS in AI/Data Science would also be a plus. Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash | Resource Manager | Innovizant LLC Phone : ************ ************************************

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

Big companies don't make great bikes. Great people do. Pacific Cycle delivers some of the biggest names in outdoor recreation - Schwinn & Mongoose. Our culture is as fun and lively as the lifestyle brands we represent, where innovative ideas are welcome and customer satisfaction is a top priority. Now's the time to join the ride! A continued commitment to and investment in our people, products, and consumers is the foundation of how we build our bright future. We offer a competitive total rewards package with generous time off, incredible product discounts, and a fun working environment! We are connected by four core values that serve as the basis for a strong future. Passion to Perform: We focus on delivering results. With a winning spirit, we go the extra mile to ensure our consumers have an outstanding experience with every ride. Care & Act Responsibly: Our colleagues, customers, partners, and plant matter to us; we strive to have a positive impact on our society and the environment. Trust to Act: We demonstrate responsibility by taking initiative, giving each day our best, and showing ownership of the work we do. Make it Fun: We make work just as fun as riding by creating strong connections and celebrating our achievements together. Join our team as a Business Analyst Intern! This summer internship opportunity will provide the chance to partner closely with internal finance and operational teams in the sporting goods industry. Projects will include data analysis, trend identification, and insight review to support our business's strategic planning. This role is based out of Madison, WI corporate office. Please note that no housing allowance provided. Below you will find a few (but not all) of the main responsibilities: Collaborate with cross-functional teams to pinpoint areas for improvement within the organization. Gather, analyze, and interpret data from various sources to identify patterns and trends. Conduct comprehensive market research and competitor analysis to inform strategic decision-making. Assist in developing and maintaining business process documentation and requirements specifications. Actively participate in internal meetings and brainstorming sessions to contribute innovative ideas for tackling business challenges. Education & Experience Actively pursuing a Bachelor's degree in Finance, Business, Accounting, or related field Skilled in Microsoft Excel Team player with willingness to learn and ask questions Ability to work independently and partner with subject matter experts

The MBU family is invited to attend the MBA Christmas Program entitled "Make My Life a Bethlehem" at 6:30 PM this evening at Calvary Baptist Church. The Academy Choir, Band, Handchimes, and Speech classes will all perform. The Junior class will also sponsor a Christmas bake sale in the church lobby. Submitted by: Dr. Philip Alsup

Georgetown University comprises two unique campuses in the nation's capital. With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world. Requirements Job Overview Engagement data generated from the many volunteer programs, events, and strategic interactions facilitated by the Office of Advancement (OA) each year allows GU to strategically target communications for constituents. The Engagement Data Analyst plays an essential role within the Office of Advancement (OA) in ensuring correct and accurate engagement data is loaded efficiently and on time. Working in a team with other Records Analysts and Managers, this person will help to ensure data integrity and accuracy are maintained for a database of more than 200,000 living alumni and over 900,000 total constituent records. They will build relationships with colleagues and teams throughout OA and Georgetown in order to understand and effectively manage a wide array of constituent engagement data. Meeting a high standard of accuracy, the role performs data entry of confidential information in the Office of Advancement GU360 database of alumni, parents, donors and friends of the University. The Engagement Data Analyst is responsible for the coding of all non-Signature Event engagement activities and data in the GU360 Salesforce database. The person in this role will use mass coding tools such as dataloader.io to import and manipulate engagement data. They are responsible for coding data submitted via the Group Coding Tool, managing a ticketing system to track requests, and providing customer service to internal users. The Engagement Data Analyst will also perform data analysis to guide leadership decisions on alumni engagement, including creating and maintaining dashboards. This role also requires managing relationships with various internal clients and OA teams to ensure their data is submitted in the correct format and coded in a manner that allows for consistent and easy access and reporting. This role reports to the Director of Constituent Records and works closely with other Records team members focusing on engagement data. The Engagement Data Analyst will also assist occasionally in testing and implementation of new features in the Salesforce system. At times of peak demand, this role assists other analysts across the Records team with fulfilling requests. Duties include but are not limited to: Maintain data integrity and check for errors in engagement data Manage a ticketing system to track and fulfill incoming requests for engagement data updates Perform the coding of all non-Signature Event engagement activities and data (such as the Interest, Volunteer Position, and Membership objects) in the GU360 Salesforce database Maintain data integrity and check for errors in engagement data Maintain and update picklists for engagement data objects Assists other team members with processing biographical data Work Interactions This role has frequent contact with a wide cross-section of GU Office of Advancement staff regarding their requests and provides customer service to internal users so that they submit requests in a way that will ensure the data is stored correctly. Represents the Records team in various meetings with these stakeholders. Works with the Data Quality Analyst to monitor and correct errors in engagement data. Assists other Records team members in maintaining biographical data when needed. Requirements and Qualifications Bachelor's Degree or equivalent required. 4+ years of professional experience in data management, preferably in higher education or non-profit setting. Must be able to work with internal and external partners in positive and collaborative interactions. Highly organized and detail-oriented, independent and motivated by achieving milestones. A self-starter, ready to make an impact in a mission-driven environment. Able to simultaneously manage multiple tasks and priorities, and consistently meet all deadlines. Must be able to assimilate data, exercise sound judgment and discretion, and work independently. Accuracy in materials preparation and ability to maintain confidentiality are required. Proficient with use of advanced formulas or macros in Microsoft Excel. Experience with creating and running reports in Salesforce or similar data query skills. Preferred Qualifications Experience with SQL, Microsoft Access, or a similar relational database tool. Experience with Salesforce platform or other Customer Relationship Management (CRM) tool. Experienced in customer service and managing sensitive or confidential data. Experience creating reports and dashboards for data analysis in Salesforce or comparable system. Experience with JIRA, FreshService or similar ticketing system. Work Mode Designation This position has been designated as Hybrid. Please note that work mode designations are regularly reviewed in order to meet the evolving needs of the University. Such review may necessitate a change to a position's mode of work designation. Complete details about Georgetown University's mode of work designations for staff positions can be found on the Department of Human Resources website: *************************************************** Pay Range: The projected salary or hourly pay range for this position which represents the full range of anticipated compensation is: $44,022.00 - $73,406.80 Compensation is determined by a number of factors including, but not limited to, the candidate's individual qualifications, experience, education, skills, and certifications, as well as the University's business needs and external factors. Current Georgetown Employees: If you currently work at Georgetown University, please exit this website and login to GMS (gms.georgetown.edu) using your Net ID and password. Then select the Career worklet on your GMS Home dashboard to view Jobs at Georgetown. Submission Guidelines: Please note that in order to be considered an applicant for any position at Georgetown University you must submit a resume for each position of interest for which you believe you are qualified. Documents are not kept on file for future positions. Need Assistance: If you are a qualified individual with a disability and need a reasonable accommodation for any part of the application and hiring process, please click here for more information, or contact the Office of Institutional Diversity, Equity, and Affirmative Action (IDEAA) at ************ or ********************. Need some assistance with the application process? Please call ************. For more information about the suite of benefits, professional development and community involvement opportunities that make up Georgetown's commitment to its employees, please visit the Georgetown Works website. EEO Statement: GU is an Equal Opportunity Employer. All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law . Benefits: Georgetown University offers a comprehensive and competitive benefit package that includes medical, dental, vision, disability and life insurance, retirement savings, tuition assistance, work-life balance benefits, employee discounts and an array of voluntary insurance options. You can learn more about benefits and eligibility on the Department of Human Resources website.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

For one of our ongoing multiyear projects we are looking for a Data Warehouse Analyst out of Madison, WI. Responsibilities: • Ability to organize and lead meetings with technical, business and operational data owners from a wide array of backgrounds. • Coordinates and communicates between business users and the business intelligence team. Manages the balance between business requirements and user expectations throughout the entire project lifecycle. Strives for a deeper understanding of our customers' business drivers. • Ability to document and speak competently to business objectives, gaps, needs and problems. Once documented, can leverage the knowledge and materials to help the IT team devise product and process solutioning that can be delivered to meet the defined needs of the business users. Works closely with the business users to document business processes. Focuses on specific business user needs such as how data is to be summarized, used in day to day operations and formatted in reports and dashboards. • Uses experience as a liaison between business users and technologists to drive requirements into design, development, system testing, UAT and product deployment. • Assists the IT team in the creation of adhoc documentation, including but not limited to; enhancement business requirements, charter contributions, process mapping, data flow diagrams, issue papers, options documents, report/dashboard requirements, requirement traceability matrixes, security assessments and other documents as assigned. • Produces and executes business scenario test plans and test cases to meet functional requirements. Identifies and logs issues and manages through to resolution by working with the appropriate project resources. Demonstrates ability to communicate test results and possesses very strong analytical and organizational skills focusing on QA test process and its relationship to producing a quality end product. Desirable to have a good understanding of QA methodologies, testing techniques and BI development lifecycles. • Demonstrates ability to manage competing priorities across multiple efforts at varying stages within the development lifecycle; keep up with fast-paced schedules; and learn new technologies quickly and effectively. Independently performs a variety of complicated tasks and relies on experience and judgment to plan and accomplish goals. • Works independently and with team members to understand database structure, business process and the correlation between the two. Comfortable in a complex data environment and understanding of data structures. • Ability to convey work and results to a wide variety of internal and external stakeholders from both technical and non-technical backgrounds. Business processes improvement Develop and implement test plan and test cases Standardized process and procedures development General Competencies Experience communicating effectively across a wide variety of stakeholders Experience independently facilitating meetings Experience producing a wide array of project documentation Problem troubleshooting, diagnostic, planning and time management State of Wisconsin Privacy Regulations Information Technology-Databases Data flow diagramming Data Warehouse - Experience in requirements gathering for data warehouse Information Technology-Design Participate in design reviews Information Technology-Requirements Documenting business processes Process mapping current state and future state processes in Visio Requirements analysis Requirements gathering

Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals. Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics. Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default) With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events. Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns. Role: Data Scientist Location: Madison, WI Full Time (Direct Hire) Job description · 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. · Experience in Statistical modeling. · Candidate will be helping the client to lead this process or improve upon the program. · Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing. · Extremely efficient in Python and R. · Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must. · Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge. · MS in AI/Data Science would also be a plus. Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash | Resource Manager | Innovizant LLC Phone : ************ ************************************

Making a Difference The State of Wisconsin Investment Board (SWIB), founded in 1951, is a premier global investment organization responsible for managing the more than $162 billion of assets of the fully funded Wisconsin Retirement System (WRS), the State Investment Fund and other state funds. Through SWIB's effective and innovative investment management, WRS remains one of the only fully funded US public pensions. The WRS consistently ranks among the 10 largest public pension funds in the U.S. SWIB is recognized by the investment industry for our teamwork and innovation. SWIB pursues sophisticated global investment strategies across the asset and risk allocation spectrum. Providers across the investment ecosystem seek to partner with SWIB. Serving more than 692,000 beneficiaries of the WRS, SWIB is a mission-driven organization focused on providing a strong financial future to those who committed their careers to public service. For public employees and the 1,607 Wisconsin employers who contribute on their behalf, we are a trusted partner. Our team innovates continuously to meet the challenges of an evolving investment landscape while growing and protecting the assets of the WRS. SWIB provides a strong, steady economic pillar for the state of Wisconsin by growing the trust funds under its management, managing risk, and optimizing costs of the long term. We are a mission-driven organization and the participants we serve are our mission. By bringing a disciplined, prudent, and innovative approach to market opportunities, SWIB has been successful in generating required returns and maintaining the trust of the beneficiaries and stakeholders of the funds we oversee.Home To Top TalentOur high-performing staff is key to what makes us a premier investment manager. SWIB is committed to investing in talented professionals to implement our robust, sophisticated investment strategies and to keep the organization at the forefront of the investment industry. We encourage innovation and offer professional development opportunities to help staff sharpen and expand their skills. Approximately 61 percent of SWIB's investment professionals are Chartered Financial Analyst (CFA) charterholders. Job Description: About the Team The Funds Alpha division consists of eight investment professionals who actively manage approximately $9 billion of hedge fund AUM and $28 billions of beta one equity and fixed income AUM. The Funds Alpha team is responsible for selecting external investment managers to generate differentiated and high-quality returns. The hedge fund portfolio is managed under an absolute return mandate, resulting in a diverse range of underlying sub-strategies, including systematic and fundamental equity market-neutral, global macro, credit, event-driven, specialty finance, and co-investment. The beta one portfolios are managed relative to global equity and fixed income benchmarks. Active strategies in beta one includes a combination of fundamental and systematic investment processes. Funds Alpha's manager selection process includes significant qualitative and quantitative diligence focused on setting expectations for forward return level and source across beta, style, and alpha. Investment professionals meet with existing and prospective strategies in Madison and across the globe to evaluate the quality of return and fit within the portfolio. Manager exposures, track record, and other transparency are thoroughly analyzed through multiple systems to provide evidence and support throughout the process. Position Overview SWIB is seeking a student intern to join its Funds Alpha Team, which will be assigned to a lead analyst but is expected to leverage the broader team. The internship is an excellent opportunity to be exposed to different investment styles across all major liquid asset classes while learning manager due diligence and portfolio construction. The internship program emphasizes involvement and engagement, with weekly manager meetings where the intern is encouraged to participate and aid in the evaluation process. The intern will work up to 40 hours per week during the summer and requires the ability to work in-person in Madison, WI, for an approximate 10-week period beginning late May/early June 2026. Essential activities: Assist analysts with the due diligence process on hedge fund and beta one managers through quantitative and qualitative methods, resulting in an investment recommendation. This includes developing skills in: Performance Evaluation - Identifying historical investment skill through the team's quantitative framework Trading Analysis - Through manager transparency, evaluate the investment manager's ability to manage a balanced portfolio of securities Process and Risk Evaluation - Learn how to interview and meet with external managers to evaluate their firm, philosophy, process, portfolio construction, and risk management Present Findings - Design and communicate due diligence findings in team meetings with analysts and portfolio managers Terms and Legal - Gain exposure to legal, data, and operational negotiations to align managers with SWIB's goals Become well-versed with Funds Alpha's various investment systems to build out further the sophistication of the analytics and consistency of the overall process. The role typically completes several ad hoc projects, including tailored manager, universe, and market-related analyses. Additionally, the intern will help support the head of strategy with portfolio and firm-level projects. The internship concludes with a capstone project, which is in an area of interest to the intern. The project involves research, data collection, model creation, interpreting results, and communicating findings to SWIB's senior management. The Ideal candidate: Undergraduate or graduate student with a Finance, Economics, or similar business major. Proficiency or familiarity with Factset or eVestment. Proficiency in Microsoft Office Suite, especially Excel. Excellent written and verbal communication skills. Previous experience conducting asset allocation analysis or manager due diligence.