Data science internship jobs in Prairie Village, KS - 60 jobs

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. Data Science Intern Department: Finance, Strategy & Analytics Reports to: Senior Data Scientist Status: Intern, Hourly JOB SUMMARY: The Data Science Intern will play a key role in supporting the Kansas City Chiefs' Finance, Strategy & Analytics team. You will help enhance our data infrastructure by assisting with potential migration efforts to a modern data platform, supporting updates to connected Plotly Dash applications, and validating data pipelines as needed. You will also contribute to real-time insights, data visualization, and advanced analytics that help transform data into meaningful, actionable decisions across the organization. JOB RESPONSIBILITIES: Support the team in evaluating and potentially transitioning data workflows from PostgreSQL to a modern data platform. Assist in restructuring, optimizing, and validating datasets and queries across evolving data environments. Help update and maintain Plotly Dash applications, ensuring stable data connections during platform transitions. Maintain and enhance reports, dashboards, and analytical tools used by executives and department leaders. Develop or improve internal applications that support real-time, data-driven decision making. Assist with analytical projects such as retention modeling, customer segmentation, dynamic pricing, and financial forecasting. Document data processes, sources, and architectural changes as infrastructure evolves. Work with internal teams and vendors to ensure data accuracy, timeliness, and reliability. Support ad-hoc analysis requests and identify opportunities for new projects or process improvements. JOB REQUIREMENTS: Required Qualifications Proficiency in Python and familiarity with commonly used analytics and data engineering libraries. Strong SQL skills and understanding of relational database concepts. Familiarity with PySpark or an interest in learning distributed computing frameworks. Interest in modern data platforms, cloud technologies, or large-scale data processing environments. Ability to troubleshoot API integrations and application data connections. Ability to combine data from multiple sources and validate data accuracy. Strong analytical and problem-solving skills. Ability to collaborate effectively with teammates and stakeholders across the organization. Ability to work flexible hours, including evenings, weekends, and holidays as needed. Familiarity with Microsoft Office tools (Excel, PowerPoint, Dynamics CRM). Preferred Qualifications 0 - 1 year of experience in related analytics, engineering, or technical role. Experience with Plotly Dash (enterprise or open source) or other application frameworks. Experience with PySpark, Spark SQL, or cloud-based data processing tools such as Databricks, Snowflake, or similar platforms. Experience with HTML/CSS and JavaScript. Pursuing or holding a degree in Mathematics, Statistics, Computer Science, Engineering, or a related field. Experience with Tableau or Power BI. Experience with Git or other version control systems.

Lockton Dunning Benefits is currently seeking a Pharmacy Data Analyst, who will help with client data file management, data analysis, data governance, reporting and operations related to Pharmacy Analytics. Your team provides support for Pharmacy Benefit analytics to all lines of Health and Welfare assisting with RFP activities, reporting and reconciliations. Our ideal candidate will demonstrate - and model for the team - a high level of professionalism, an ability to embrace our friendly and ambitious culture, the capability to thrive in a fast-paced environment, and the flexibility to easily adapt to changing priorities. You will be an important contributor in the realization of our mission to revolutionize insurance to protect what matters. * Manages day-to-day operations for reviewing data validation, vendor file transfers and data mapping. * Drives relationship with internal account teams for process enhancements and for resolving open data issues. * Maintains a thorough understanding of the data warehouse process, PBM contract requirements, reconciliations, ftp processes, vendor agreements, reporting applications and reporting requirements. * Meets established Quality Standards and help drive higher standards. * Maintains team documents, files, standards, operating procedures, and guidelines. * Identifies competing timelines and actively engages team members and cross functional teams to prioritize deliverables. * Attends weekly sessions with team/series leads on all open projects and sets priorities. * Helps execute strategic vision for data warehouse enhancements/improvements to serve Analytics needs. * Interfaces with strategic partners to address issues and trends. * Reviews and corresponds to vendor requests and inquiries for data transfer activities. * Helps establish practices around data governance and accuracy management. * Creates and updates JasperSoft reports per the business needs. * Creates and runs analytic models using SQL to analyze trends at a client and book of business level. * Maintains a high level of professionalism and sense of urgency to ensure client and account team expectations are consistently met. * Performs other duties as assigned or requested.

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on December 14, 2025 Work You'll Do Client Engagement & Solution Scoping + Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. + Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). + Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. + Solution Architecture & Design + Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). + Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). + Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization + Lead model fine-tuning, prompt engineering, and customization for client-specific needs. + Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. + Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management + Manage solution rollout, including cloud setup, configuration, and production deployment. + Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance + Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. + Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication + Prepare executive-level reports, dashboards, and demos to summarize progress and impact. + Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership + Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. + Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: + Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. + 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. + Independent thinker who can create the vision and execute on transforming data into high end client products. + Demonstrated accomplishments in the following areas: + Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). + Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). + Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. + Knowledge of solution architecture, risk assessment, and mapping technology to business goals. + Familiarity with agile methodologies and iterative delivery. + Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available. Preferred: + Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. + Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Your Quest: Help make a big difference in healthcare access At Quest Analytics our team members can fulfill their quest to work in an innovative, collaborative, challenging and flexible environment supportive of personal growth every day. The team is driven to make healthcare more accessible for all Americans. We're looking for a dedicated full-time Data Analyst to join our team. You will dig deep into complex, interworking systems and apply thoughtful data analysis strategies to uncover root causes, identify trends and develop solutions that support business decisioning. Additionally, you will support ad hoc data analysis request and ongoing metrics reporting to enhance operational efficiency and business intelligence. What you'll do: Independently research and analyze healthcare provider and outreach data discrepancies or issues as reported by internal teams, leveraging SQL queries, excel based comparisons and other various analysis tools. Operationally respond to urgent and/or exploratory data requests (represented by Azure DevOps work items) from stakeholders and internal partners, providing timely and insightful analysis results within defined turnaround times and due dates. Independently navigate internal database structures with little to no direction Develop, maintain and enhance recurring reports to track requested data performance points and trends. Apply critical thinking and structured analytical approaches to complex data challenges within multiple interdependent systems. Translate intricate technical data findings into business friendly insights, ensuring clarity for non-technical audiences. Write and optimize complex SQL queries to extract, validate and analyze data from multiple sources. Build and maintain Excel based reports. Including pivot tables, charts and formulas to support business operations. Work closely with internal teams, including various engineering scrum teams, stakeholders, and various internal partners to provide timely and accurate data insights. Identify trends and patterns that indicate data integrity issues and proactively work to support improvements. Utilizing internal tools, maintain clear documentation of investigations, queries and resolutions to support knowledge sharing and process optimization. Be a creative thinker with a focus on continuous improvement What it requires: Degree in Data Analytics, Information Systems, Business, related degree, or equivalent experience. 3+ years of experience defining, implementing, and evaluating process strategies and improvements. 3+ years of experience working with healthcare data. Advanced proficiency in SQL is required(writing complex queries joins and aggregations, etc..) required Expertise in Excel including advanced formulas, pivot tables, and data visualization techniques or similar comparison tools. Experience with data validation and ETL processes Microsoft Azure experience / knowledge is a preferred Strong ability to independently investigate, analyze and solve complex data problems. Experience working with stakeholders to proactively extract needed parameters to develop meaningful data analysis. Experience with business rule data validation and transformation Experience with ad hoc data analysis and supporting ongoing metrics reporting. Ability to translate complex data analysis findings into actionable business insights. Proven successful experience collaborating and interacting with professional engineering team(s), in an analyst role, to achieve objectives & results Able to create clear, concise, detail-oriented data analysis designs from specifications or verbal communications. High attention to detail including effective client communications and proven ability to manage multiple, competing priorities simultaneously. Ability to multitask and prioritize in a fast-paced, fluidic environment Excellent interpersonal skills, ability to collaborate and work successfully with teams across the organization. We are not currently engaging with outside agencies on this role. What you'll appreciate:•Workplace flexibility - you choose between remote, hybrid or in-office•Company paid employee medical, dental and vision•Competitive salary and success sharing bonus•Flexible vacation with no cap, plus sick time and holidays•An entrepreneurial culture that won't limit you to a job description•Being listened to, valued, appreciated -- and having your contributions rewarded•Enjoying your work each day with a great group of people Apply TODAY!careers.questanalytics.com About Quest AnalyticsFor more than 20 years, we've been improving provider network management one groundbreaking innovation at a time. 90% of America's health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here. Visa sponsorship is not available at this time. Preferred work locations are within one of the following states: Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois (outside of Chicago proper), Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, or Wyoming. Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment. Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence ********************* NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time. Any job posting displayed on websites other than questanalytics.com or jobs.lever.co/questanalytics/ may be out of date, inaccurate and unavailable

We are seeking a skilled Data Analyst II to join our Data Analytics team. In this role, you will be responsible for analyzing loan portfolios, payment trends, and financial performance metrics to drive business decisions and support our lending operations. Working primarily with Snowflake and Power BI, you will develop analytics solutions that provide insights into premium finance receivables, risk assessment, collection performance, and revenue optimization. This position offers the opportunity to work with complex financial datasets and collaborate business leaders to improve decision making and company performance. Key Responsibilities * Design, develop, and maintain interactive dashboards and reports in Power BI to monitor loan portfolio performance, payment trends, delinquency rates, and key financial metrics * Write SQL queries to extract, transform, and analyze large datasets from Snowflake * Conduct in-depth analysis of loan performance metrics including funded volume, outstanding balances, loss rates, and portfolio aging * Analyze collection effectiveness, payment patterns, and delinquency trends to support risk management. * Collaborate collections, operations, and finance teams to understand reporting requirements and translate them into analytical solutions * Develop financial models and forecasts to support business planning initiatives * Ensure data accuracy and integrity by performing quality assurance checks * Identify opportunities for process improvements and operational efficiencies through data-driven insights * Document analytics processes, data definitions, and reporting methodologies to maintain institutional knowledge * Support ad-hoc data requests from executive leadership and provide timely responses to analytical inquiries Required Skills * SQL: Advanced proficiency in writing queries * Power BI: Strong experience creating interactive dashboards, reports, and visualizations using DAX and Power Query * Excel: Advanced skills including pivot tables, INDEX/MATCH, financial formulas, and data analysis tools * Mathematical & Statistical Analysis: Solid understanding of statistical concepts, financial metrics, data modeling, and analytical problem-solving * Financial Knowledge: Understanding of financial statements, lending operations, and key performance indicators in the finance industry or insurance industry * Communication: Excellent ability to translate complex financial data and analytics into clear, actionable insights for both technical and non-technical audiences * Attention to Detail: Strong commitment to data accuracy and quality, particularly critical for financial reporting and regulatory compliance * Problem-Solving: Demonstrated ability to break down complex business problems and develop data-driven solutions for financial operations * Time Management: Proven ability to manage multiple priorities, meet reporting deadlines, and deliver results Preferred Skills * Experience working with Snowflake data warehouse platform, including knowledge of Snowflake-specific features * Proficiency in Python for data analysis * Previous experience in premium finance, insurance finance, lending, or financial services industry * Knowledge of lending operations, underwriting processes, and collections management * Familiarity with loan portfolio analytics and credit risk metrics * Experience with financial modeling and forecasting techniques * Familiarity with data visualization best practices and principles * Experience with version control systems (Git) * Knowledge of ETL processes and data pipeline concepts Education & Qualifications * Bachelor's degree in Data Analytics, Finance, Computer Science, Statistics, Mathematics, Information Systems, Business Analytics, Economics, or a related field * 2-4 years of professional experience in data analysis, business intelligence, or financial analytics role * Experience in financial services, lending, or premium finance industry is highly desirable * Equivalent combination of education and experience may be considered

Join Orange EV, a fast-growing manufacturer of electric vehicles that are better for the earth, people and the bottom line. Make a difference for the world as part of a company leading the electric vehicle revolution. Assist in accelerating the adoption of our EV trucks by providing insightful data analysis, reporting, planning, and forecasting for our business from various sources of information, internal and external. Be able to communicate the insights effectively with Leadership, internal stakeholders, and external customers. Position Responsibilities •Coordinate Engineering and Quality documentation and audits. •Develop and maintain Power BI dashboards for KPIs and quality metrics. •Analyze performance data and provide actionable reports. •Support CRM and ERP analytics and reporting. •Implement data quality controls and maintain data dictionaries. •Collaborate with cross-functional teams to ensure data integrity and usability. •Provide executive-level presentations and recommendations. •Support continuous improvement initiatives using data-driven insights. Position Qualifications •Bachelor's degree in Business Analytics, Data Science, Quality Management, or related experience. •5+ years of experience in data/business analysis roles within a manufacturing environment. •Advanced Microsoft Excel skills (pivot tables, macros, advanced formulas). •Proficiency in Power BI and SQL for data visualization and integration. •Experience with CRM and ERP systems preferred. •Strong analytical, communication, and problem-solving skills. •Ability to work independently and cross-functionally. Physical Requirements •The ideal candidate must be able to complete all physical requirements of the job with or without a reasonableaccommodation: •Work is performed in an office environment and requires the ability to operate standard office equipment andkeyboards •May require duties performed in a warehouse or production setting, including loud noises. •Work in a stationary position up to 75% of the time Orange EV is an Equal Opportunity Employers and seek diversity in candidates for employment. EEO Employer W/M/Vet/Disabled/Sexual Orientation/Gender Identity

Join the Team.Kansas City Current is home to the best-in-class training facility and the first stadium built for a women's sport team. Our organization is committed to seeing the fullest potential of our athletes and of our city. To foster our vision, we prioritize hiring and retaining world-class talent. We're looking for talented individuals with diverse perspectives, skill sets, and backgrounds to provide our guests with an unforgettable experience. As leaders in women's sports, we are excited to offer a variety of positions within our front office, stadium, and event settings. We provide opportunities for professional growth and development and invest in our employees through competitive pay, robust health care and wellness benefits, and employee resources and networking. Who are we hiring? The Sports Scientist & Data Analyst supports the optimization of player performance across the Kansas City Current and Kansas City Current II. This role applies performance science, data analytics, testing, monitoring, and applied training support to help drive an evidence-based, player-centered performance model. The position works closely with Athletic Trainers, Physical Therapists, S&C staff, and coaching staff to support player health, availability, and development. What will you do? Build, maintain, and optimize performance data infrastructure, including pipelines, databases, and automated reporting systems. Design and manage data integration models combining GPS, heart-rate, wellness, performance testing, medical, scheduling, and match data. Create dashboards and visualization tools for coaches, medical staff, and performance leadership. Develop automated ETL processes for clean, consistent, real-time information across all clubs. Perform quality control on data sources, including GPS and athlete monitoring systems. Develop internal performance algorithms, readiness metrics, and predictive models for injury-risk mitigation and player development. Provide insights on workload trends, performance benchmarks, return-to-play indicators, and training optimization. Support performance testing cycles (data capture, cleaning, processing, reporting, athlete tracking). Collaborate with medical & performance staff to create individualized athlete data profiles and long-term development pathways. Maintain data governance, security, and compliance with league and international standards. Document coding workflows, data structures, and system architecture to support scalability. Ensure compliance with NWSL, U.S. Soccer, FIFA, and sports science best-practice guidelines. Perform additional duties as assigned to support the Medical & Performance Departments. What do you need to succeed? Required Bachelor's degree in Exercise Science, Kinesiology, Sports Science, or related field. Minimum 3 years of experience working with elite athletes (professional, collegiate, or Olympic). Experience collecting, analyzing, and reporting athlete performance data. Demonstrated experience with GPS, heart-rate monitoring, and athlete-tracking technologies. Ability to work non-traditional hours, including evenings, weekends, travel, and extended days. Preferred Master's degree in a performance or sport science discipline. CSCS, NASM-CES, NASM-PES or similar certifications. Experience working in women's high-performance or multidisciplinary team settings. Skills Strong data analysis skills and ability to turn complex data into actionable insights. Excellent communication and interpersonal skills with athletes and staff. High attention to detail, accuracy, and reporting discipline. Ability to work in a fast-paced, high-performance environment and adapt quickly. Strong problem solving, critical thinking, and decision-making skills. Ability to maintain confidentiality and professionalism at all times. Special requirements of the Job: Must be willing to relocate to Kansas City. Must be able to work a flexible schedule, inclusive of weekends, nights (event evenings & overnight operation shifts) and holidays. Must be able to travel domestically and internationally within our multi-club network. Ability to monitor company communications and respond to time-sensitive matters with senior executives. Must be able to stand, walk, and move around the venue for extended periods of time, often during events or facility setup and breakdown. Ability to lift and carry up to 50 pounds as needed for event setup, equipment management, or assisting with operational needs. Ability to run or move quickly for on-field support during training sessions. Requires occasional bending, squatting, and reaching overhead to handle various tasks related to facility management, equipment, and event preparation. Must be capable of working in physically demanding environments, including navigating stairs, ramps, and elevated platforms during venue conversions. Ability to work outdoors continuously for extended periods of time in all weather conditions We value diversity and seek world-class employees of all backgrounds. The Kansas City Current values diversity and is looking for extraordinary employees of all backgrounds! We are an Equal Opportunity Employer and provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, sexual and reproductive health choices, national origin, citizenship, age, genetic information, disability, or veteran status. In addition to federal law mandates, we comply with all applicable state and local laws governing nondiscrimination in all locations and will consider requests for reasonable accommodations as required.

At Jack Henry, we deliver technology solutions that digitally transform and empower community banks and credit unions to provide enhanced, streamlined experiences for their customers and members. Our best-in-class products are just the beginning as we lay the groundwork for the future of digital banking and payments. We hope you'll join us. The Operations Business Analyst Intern will play a key role in ensuring the smooth and accurate execution of core business processes for the EPS Operations team. You'll be the linchpin connecting Sales, Implementation, and Billing, ensuring our critical Remit platform projects move efficiently from contract to revenue. Your work will include reviewing customer contracts, setting up implementation projects, maintaining data integrity within our CRM system, and triaging incoming operational cases. You'll also contribute to special projects focused on improving overall operational efficiency and effectiveness. If you're passionate about process improvement and thrive in an upbeat, supportive atmosphere, this is the role for you! Interns at Jack Henry earn $25.00 per hour and work a full-time schedule of 40 hours per week, Monday through Friday. The Summer 2026 Internship Program will run from June 1 through August 7, 2026. This position is based out of one of our designated hub locations: Charlotte, NC · Allen, TX · Springfield/Monett, MO · Louisville, KY · Cedar Falls, IA · Birmingham, AL What You'll Be Responsible For * Streamlining the Sales-to-Implementation handoff for Remit platform projects, including a meticulous review of executed customer contracts for accuracy and completeness. * Conducting a CRM data audit to ensure implemented Remit products are accurately marked within the Customer Relationship Management system, maintaining data integrity. * Liaising with Implementation and Billing teams to confirm customers are invoiced correctly and promptly once project implementations are complete. What You'll Need to Have * Pursuing a degree in Business Administration, Project Management, or Business Analytics. * Demonstrated foundational knowledge or early experience in relevant areas (e.g., researching and writing reports, documenting processes, project or event execution). * Must be a U.S. citizen and not require sponsorship for employment authorization now or in the future. What Would Be Nice for You to Have * A process-driven mindset with a passion for continuous improvement. * Exceptional communication skills (written and verbal) for clear cross-functional collaboration. * Strong attention to detail and a commitment to data accuracy. * Proven ability to manage changing priorities and work effectively under strict deadlines. Why Jack Henry? At Jack Henry, our culture is built on a simple but powerful motto: "Do the right thing, do whatever it takes, and have fun." This isn't just a tagline-it's the foundation of how we work, collaborate, and grow together. As an intern, you'll have the opportunity to launch your career in a meaningful way. Our 10-week summer internship program* offers hands-on experience with real projects that align with our business priorities and shape the future of financial technology. You'll work alongside innovative teams, gain exposure to executive leadership, and receive mentorship designed to support your personal and professional development. From strategic insights to impactful solutions, your contributions will matter-and you'll be part of a company that values integrity, curiosity, and connection. Culture of Commitment Ask our associates why they love Jack Henry, and many will tell you it's because our culture is exceptional. We do great things together. Our culture empowers us to rise to challenges, seek new opportunities, and support one another through change. It's this shared commitment that drives our success. We're proud to foster an environment where inclusion, sustainability, and community impact are more than values-they're how we operate. Visit our Corporate Sustainability site to learn more about our culture and commitment to our people, customers, community, environment, and shareholders. Equal Employment Opportunity At Jack Henry, we know we are better together. We value, respect, and protect the uniqueness each of us brings. Innovation flourishes by including all voices and makes our business-and our society-stronger. Jack Henry is an equal opportunity employer and is committed to providing equal opportunity in all employment practices, including selection, hiring, performance management, promotion, transfer, compensation, benefits, education, training, social, and recreational activities. We welcome all persons regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, genetic information, pregnancy, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, and military or veteran status, or any other status protected by local, state, or federal law. No one will be subject to-and Jack Henry prohibits-any form of discipline, reprisal, intimidation, or retaliation for good faith reports or complaints of discrimination, pursuing any discrimination claim, or cooperating in related investigations. Requests for full corporate job descriptions may be made during the interview process at any time.

Department:RI Administration ----- Research InformaticsPosition Title:Data Scientist - Research AdministrationJob Family Group: Professional Staff Summary:The Data Scientist - Research Administration provides dedicated data science and engineering support to the Department of Surgery at the University of Kansas Medical Center. The role will focus on developing data pipelines, performing statistical and machine learning analyses, and generating high-quality research outputs using large-scale clinical datasets. This position will work closely with surgeons and researchers to translate clinical questions into data-driven insights. It is a strategic role designed to strengthen the department's research infrastructure and competitiveness for external funding.: Key Roles and Responsibilities: Collaborate with Department of Surgery researchers to define project requirements and analytic goals Develop and maintain scalable data pipelines and perform ETL processes for clinical data Conduct statistical and machine learning analyses on large, complex healthcare datasets Clean, transform, and prepare high-quality analytic datasets for research Build and validate predictive models to support research questions and clinical insights Develop and maintain reusable data marts for commonly used research variables Document data workflows, coding processes, and analytic decisions to ensure reproducibility Prepare visualizations, summary reports, and presentations of research findings Contribute to manuscript and grant writing by providing data-related content and results Ensure compliance with data governance, privacy regulations, and institutional policies This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice. Required Qualifications Education: Master's degree in data science, computer science, biostatistics, informatics, or a related quantitative field. Education may be substituted for experience on a year for year basis. Work Experience: 2 years of experience applying statistical methods (e.g., linear/logistic regression, survival analysis in research or healthcare settings. 2 years of experience with data science tools and programming languages such as Python or R. 1 year of experience in developing and maintaining data pipelines and performing data wrangling/cleaning tasks. 1 year of experience working with large healthcare datasets, including electronic health records (EHR). Preferred Qualifications Education: Ph.D. in data science, biomedical informatics, computer science, biostatistics, or a related quantitative discipline. Education may be substituted for experience on a year for year basis. Certifications/Licenses: Certified Health Data Analyst (CHDA) Certified Specialist in Predictive Analytics AMIA credentials Work Experience: 2 years of experience working with electronic health record (EHR) data from systems such as Epic or eClinicalWorks. 2 years of experience developing machine learning models (e.g., random forests, gradient boosting, neural networks) for healthcare or clinical research applications. 1 year of experience with high-performance computing or cloud platforms (e.g., AWS, Azure, Google Cloud). 1 year of experience contributing to peer-reviewed research publications or grant applications involving data analysis. 1 year of experience building and maintaining data marts or reusable data products for research. Skills Statistical analysis using R or Python Data pipeline development and ETL processes SQL and relational database querying Machine learning model development and validation Data cleaning and wrangling Understanding of HIPAA and data privacy in research Experience with EHR systems (e.g., Epic, eClinicalWorks) Familiarity with clinical data models (e.g., OMOP, PCORnet) Development of advanced machine learning models (e.g., deep learning, ensemble methods) Advanced Use of cloud-based data platforms or high-performance computing environments Proficient Experience with data visualization tools (e.g., Tableau, Power BI, Plotly) Knowledge of version control systems (e.g., Git) Familiarity with research workflows and publication processes Required Documents Resume Cover Letter Comprehensive Benefits Package: Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. ************************************************** Employee Type: RegularTime Type: Full time Rate Type: Salary Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above. Pay Range:$75,000.00 - $115,000.00 Minimum $75,000.00 Midpoint $95,000.00 Maximum $115,000.00

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

KEY RESPONSIBILITIES: Data Governance, Strategy and Architecture * Define and drive the organization's overall vision, data strategy, roadmap, and architecture vision. This includes the data AI architecture vision, strategy, and roadmap. This includes the design of scalable data lakes, data warehouses, and data fabric architectures. * Establish and enforce data governance policies and standards to ensure data quality, consistency, and compliance with all relevant regulations (e.g., GDPR, CCPA). Lead the implementation of a comprehensive data governance framework, including data quality management, data lineage tracking, and master data management (MDM). Collaborate with data owners and stewards across business units to establish clear roles, responsibilities, and accountability for data assets. * Establish clear rules and policies governing the responsible usage of data within AI and ML models, including documentation of data lineage for model training. Design data infrastructure specifically optimized for AI workloads, including data pipelines for machine learning models, and architect solutions for large language models (LLMs). Develop bias mitigations strategies to ensure diverse and representative datasets to prevent AI biases, and architect monitoring systems for model drift. * Evaluate, recommend, and select appropriate data management technologies, including cloud platforms (e.g., AWS, Azure, GCP), storage solutions, and governance tools. * Architect complex data integration patterns to connect disparate data sources across the organization, ensuring seamless data flow and a unified data view. Data Security and Privacy * Design and implement a robust data security architecture to protect sensitive data from unauthorized access, breaches, and corruption. * Develop security protocols, such as encryption, access controls (IAM), and masking techniques to safeguard data in transit and at rest. * Conduct regular security audits and vulnerability testing to identify gaps in security architecture and develop remediation plans. * Ensure the data architecture and its supporting systems are compliant with internal policies and external data protection regulations. Data Modeling and Management * Design and maintain conceptual, logical, and physical data models for transactional and analytical systems. * Oversee the development of database schemas, metadata management, and data cataloging efforts to improve data discoverability and understanding. * Define and standardize data architecture components, including storage solutions (data lakes, warehouses, etc.), data pipelines, and integration patterns. * Evaluate and recommend new data technologies, tools, and platforms that align with the organization's strategic needs. Data Classification * Design and implement a robust data security architecture, including controls for access management, encryption, and data masking to protect sensitive information. * Create and manage an organization-wide data classification scheme based on data sensitivity and importance (e.g., public, internal, confidential, restricted). * Implement technical controls and processes to automatically classify and tag data assets, ensuring proper handling and security. * Collaborate with business and legal teams to define and apply data classification rules consistently. Team Collaboration and Leadership * Provide technical guidance and mentorship to data engineers, analysts, developers, and other IT teams on best practices for data management and security. * Work closely with business stakeholders to understand their data requirements and translate them into effective architectural solutions. * Foster a data-centric culture across the organization, promoting awareness and understanding of data governance principles. ABOUT THE COMPANY: Bluebird Fiber is a premier fiber telecommunications provider of internet, data transport, and other services to carriers, businesses, schools, hospitals, and other enterprises in the Midwest. To learn more, please visit bluebirdfiber.com. Join an amazing team of telecommunication professionals! Bluebird is a dynamic growing company in need of a Data Architect to be a part of a collaborative team. This is a full-time, benefit eligible position in our Kansas City Office. All of us at Bluebird work hard to meet objectives for the organization and live the mission and values of this growing company to meet a common goal. Check out this video that highlights our amazing company culture. JOB SUMMARY: We are seeking a highly skilled and strategic Data Architect to lead our data governance, security, and management initiatives. This senior role will be responsible for designing and implementing the organization's enterprise data architecture, ensuring that our data is secure, reliable, and accessible for business-critical functions. The ideal candidate is a proactive leader who can define data strategy, enforce best practices, and collaborate with cross-functional teams to align our data ecosystem with business goals. REQUIRED QUALIFICATIONS: * Bachelor's or master's degree in Computer Science, Information Technology, or a related technical field. * 10+ years of hands-on experience in data architecture, data modeling, and data governance, with a proven track record of designing and implementing complex data ecosystems. Experience working in regulated industries is a plus. * Proven experience (8+ years) designing and implementing enterprise-level data architectures. * Extensive experience with data modeling, data warehousing, and modern data platforms (e.g., cloud environments like AWS, Azure, or GCP). * Deep expertise in data modeling, data warehousing, database technologies (SQL, NoSQL), big data technologies (e.g., Spark), and modern cloud platforms (e.g., AWS, Azure, GCP). * Deep expertise in data governance and security principles, including regulatory compliance frameworks. * Strong knowledge of how to structure data for machine learning and AI workloads, including experience with MLOps platforms. * Hands-on experience with data classification and data cataloging tools (e.g., Collibra, Alation). * Excellent communication, interpersonal, and leadership skills, with the ability to influence and build consensus across the organization. PREFERRED QUALIFICATIONS: * Professional certifications in data architecture, data governance, or cloud platforms. * Experience with big data technologies (e.g., Hadoop, Spark). * Familiarity with data integration and ETL/ELT frameworks.

Job Description **Please Note: This position is open only to candidates authorized to work in the U.S. without the need for current or future visa sponsorship. Additionally, this position is based in the Kansas City area, and we are only considering candidates who reside locally.** At Sunlighten, we're not just about infrared saunas, we're on a mission to improve lives through innovative health and wellness solutions. As a global leader in infrared sauna therapy with a 25-year legacy of innovation, we've grown from our Kansas City roots to establish a global footprint. With the wellness market projected to reach $7 trillion by 2026, we're proud to lead the way in light science and longevity. We're rapidly expanding our BI, AI, and Automation team and are on the hunt for a curious, proactive, and methodical Data Scientist- Forecasting, Experimentation & Scoring to take us to the next level. Based in the Kansas City metro area, we offer the best of both worlds: the growth of a global company with the close-knit culture of a local business. Sunlighten's Data Scientist will drive measurable impact across Sales, Marketing, CX, and Operations through analytics and ML. You'll lead forecasting, lead/opportunity scoring, what‑if analysis, and rigorous experimentation so leaders can make confident decisions. Duties/Responsibilities: Partner with stakeholders (e.g., CSO, Marketing) to shape analytical questions into testable plans; frame success metrics and hypotheses; deliver what‑if analysis, statistical testing, and clear recommendations. Design & run experiments (e.g., changing how we serve chat leads): define treatment/control, power, guardrails; implement tracking (Salesforce/Service Cloud/Marketing Cloud/GA4), and build Power BI readouts. Own ML for BI priorities: improve Lead Score & Opp Score; demand planning; end‑to‑end forecasting; support website/product‑specific models. Define business and model metrics; build golden labels/holdouts; quantify ROI. Feature engineering from Salesforce/NetSuite/Five9/Marketing Cloud/Shopify/telemetry; partner with DE to productionize in Fabric. Implement offline/online evaluation; drift monitoring; experiment tracking; reproducible notebooks; monthly goal snapshotting. Wear multiple hats: when needed, take an analysis/ML project end‑to‑end and collaborate with devs to surface results in products or lightweight UIs. Other duties as discussed and assigned. Requirements This position is open only to candidates authorized to work in the U.S. without the need for current or future visa sponsorship. Additionally, this position is based in the Kansas City area, and we are only considering candidates who reside locally. 2-5 years of enterprise experience in applied data science/analytics 2-5 years of experience developing and shipping predictive models, and delivering stakeholder-facing analyses. Expertise in Python (pandas, scikit‑learn/lightgbm); SQL; forecasting (Prophet/ARIMA/XGB‑based); causal/AB testing (t‑tests, proportion tests, chi‑square), power analysis. Expertise with Power BI for experiment/forecast dashboards; Microsoft Fabric for data/feature pipelines; CI/CD with Git. Excellent communication skills: concise narratives, assumptions, and trade‑offs; clear documentation. Bachelor's or Masters Degree in Data Science/Computer Science/Stats/OR or equivalent experience portfolio/GitHub preferred Benefits Opportunity to work in a collaborative and innovative environment. Career growth opportunities in a market leading and rapidly growing wellness technology company. Competitive Paid Time Off Policy + Paid Holidays + Floating Holidays. Fully Equipped Fitness Center On-Site. Lunch Program featuring a James-Beard Award Winning Chef. Health (HSA & FSA Options), Dental, and Vision Insurance. 401(k) with company contributions. Profit Sharing. Life and Short-Term Disability Insurance. Professional Development and Tuition Reimbursement. Associate Discounts on Saunas, Spa Products and Day Spa Services. Sunlighten provides equal employment opportunity. Discrimination of any type will not be tolerated. Sunlighten is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by state, federal, or local law.

Are you looking to accelerate your career without having to hide your authentic self - a place where you can be you? A career that's making a bigger impact on the world? At OneDigital, we are on a mission to help people do their best work and live their best lives. From the services we offer to the way we show up for each other each day, we are fueling dreams, achieving big goals, and embracing each other's truest selves. We understand that pursuing a new job is a big deal. Maybe you're afraid you won't fit in. Well, here's the good news. For us, the days of “fit in to get in” are over and being different is not a barrier to getting ahead. Greatness comes in all shapes, sizes, colors, and experience levels. If you are looking for a people-first culture that is wired for growth, driven to serve, and totally committed to having your back, give us a shot. Your best life awaits. Must be eligible to work in the United States without the need for work visa or residency sponsorship. Our Newest Opportunity: Summary: The Data Quality Analyst ensures the accuracy, consistency, and reliability of the data that powers Wealth Management operations, reporting, and strategic decisions. This role develops and executes data validation processes, monitors key quality metrics, and partners with internal teams and external custodians to resolve discrepancies. By maintaining high standards of data integrity, the analyst directly supports advisor efficiency, client reporting accuracy, and the division's overall growth. Qualifications, Skills and Requirements: · Develop and execute data testing strategies to validate accuracy, completeness, and consistency across custodial and portfolio management systems. · Monitor and report on data quality metrics, proactively identifying and resolving issues to maintain a 99%+ accuracy standard. · Perform root cause analysis on recurring issues and recommend process or system improvements. · Create and maintain documentation for data validation rules, QA procedures, and reporting standards. · Collaborate with Wealth Operations, Compliance, and Technology teams to resolve discrepancies and support reporting, analytics, and decision-making. · Act as a subject matter resource for custodial integrations (e.g., Schwab, Fidelity, Raymond James) and portfolio management platforms (e.g., Orion Advisor Tech, Tamarac, Black Diamond). · Support advisor and branch onboarding by ensuring accurate and timely system integrations. Address escalated issues by independently researching or coordinating with custodians, vendors, and advisors. · Lead or participate in projects that may require long-term goals, milestones, and cross-functional collaboration. · Foster strong relationships with internal teams and branch offices to ensure data integrity supports field and client success. Education, Training and Experience: · Bachelor's degree in business, Finance, Economics, Data Analytics, Computer Science, Information Systems, or related field preferred. · 4-6 years of business experience in financial services or investment industry required. · 2+ years of experience in data quality, data governance, or QA testing preferred. · Experience with custodial platforms (Schwab, Fidelity, Raymond James) strongly preferred. · Experience with advisor technology platforms (Orion, Tamarac, Black Diamond) preferred. · Strong technical expertise with custodial systems, portfolio management software, and data integrations. · Proven ability to manage projects, timelines, and vendor relationships. · Familiarity with regulatory standards applicable to RIAs and broker/dealers. · Proficiency in Excel, reporting tools, and database management. · Excellent communication and problem-solving skills; able to work independently and collaboratively. · Strong knowledge of compliance standards within the RIA environment. · Full knowledge and understanding of basic investment terms and account types · Ability to balance detailed execution with high-level strategic initiatives. Other: · Regular and predictable attendance required. · Primarily sedentary work with extensive computer use. · Occasional travel to industry conferences (1-3 times per year). · Role involves access to highly confidential financial and client data; discretion is essential. · Attention to detail, accuracy, and strong critical thinking are required. Your base pay is dependent upon your skills, education, qualifications, professional experience, and location. In addition to base pay, some roles are eligible for variable compensation, commission, and/or annual bonus based on your individual performance and/or the company's performance. We also offer eligible employees health, wellbeing, retirement, and other financial benefits, paid time off, overtime pay for non-exempt employees, and robust learning and development programs. You will receive reimbursement of job-related expenses per the company policy and may receive employee perks and discounts. To learn more, visit: ************************** OneDigital is an equal opportunity employer. Not only as a matter of standard, but to honor and celebrate our differences. We believe that the power of ONE starts with you. We are committed to cultivating and preserving a culture that celebrates diversity, insists on equity and inclusion, and connects us. Ensuring our people feel seen, valued, respected, and supported is fundamental to our core values and business goals. OneDigital provides equal employment opportunities to all employees and applicants for employment regardless of their: veteran status, uniformed servicemember status, race, color, religion, sex, sexual orientation, gender identity, age (40 and over), pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, “protected characteristics”). A copy of the Federal EEO poster is linked here. Pursuant to local Fair Chance Ordinances, we will consider qualified applications with arrest or conviction records for employment. For applicable candidates, the following ordinances are linked here to inform you of your rights as an applicant: City and County of San Francsico City of Los Angeles County of Los Angeles Employment decisions shall comply with all other applicable federal, state and city/county laws prohibiting discrimination in employment. OneDigital complies with all criminal history inquiry [or ‘ban the box'] laws in California, Connecticut, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New Mexico, Oregon, Rhode Island, Vermont and Washington. In short, we believe in hiring the most qualified applicant for the position, regardless of background. If you have questions about our hiring policies and practices, we would be happy to discuss upon receiving your application. We hope to welcome you to OneDigital and look forward to hearing from you. OneDigital understands the immense responsibility and opportunities provided by Artificial Intelligence. We utilize advanced Artificial Intelligence [AI] technologies to enhance our recruitment process. This includes using AI to filter candidates based on their qualifications and to rediscover potential candidates from our existing applicant pool. Our AI systems help us efficiently identify the best fit for our open positions, ensuring a streamlined and effective hiring experience. However, AI does not replace the humans in our process. If you have concerns about our use of AI, you may opt out where laws allow. OneDigital understands the immense responsibility and opportunities provided by Artificial Intelligence. We utilize advanced Artificial Intelligence [AI] technologies to enhance our recruitment process. This includes using AI to filter candidates based on their qualifications and to rediscover potential candidates from our existing applicant pool. Our AI systems help us efficiently identify the best fit for our open positions, ensuring a streamlined and effective hiring experience. However, AI does not replace the humans in our process. If you have concerns about our use of AI, you may opt out where laws allow. Thank you for your interest in joining the OneDigital team!

Job DescriptionDescription: Propio Language Services is a provider of the highest quality interpretation, translation, and localization services. Our people take pride in every resource we offer, and our users always have access to the best technology, support, and experience. We are driven by our passion for innovation, growth, and connecting people. If you believe in the transformative power of technology-driven solutions and meaningful communication, Propio could be the ideal place for you. Propio's Summer Internship Program is an eight-week experience that offers students the opportunity to engage in real-world client work while receiving mentorship from industry-leading professionals. As an intern, you'll make meaningful contributions from day one because we believe you are the future of our business. Program Benefits: Onsite experience that promotes hands-on learning, team engagement, and a deeper understanding of our company culture Competitive hourly pay One-on-one mentorship with experienced professionals Ongoing learning and development Networking opportunities and social events with peers and professionals Potential for full-time employment upon graduation Position Overview We are seeking a motivated and ambitious Data Analytics Intern to join our team. This internship provides hands-on experience in various data analysis functions including report and dashboard creation, data analyzing, and results reporting. In this role, you will gain exposure to the full suite of business analytics and data reporting and contribute to meaningful projects in a fast-paced environment. Responsibilities: Assist in collecting, cleaning, and organizing raw data from multiple sources for analysis Perform exploratory data analysis to identify trends, patterns, and outliers Support the creation of dashboards, reports, and data visualizations to communicate insights Collaborate with internal teams to understand data needs and deliver solutions Help maintain data integrity and accuracy across systems and tools Use tools such as Excel, SQL, Python, Tableau, and Power BI to support analytics projects Contribute to the development of predictive models and statistical analyses under supervision Document processes, methodologies, and findings to support future reference and repeatability Stay current on data analytics trends, tools, and best practices to support continuous improvement Requirements: Qualifications: Currently pursuing a degree in Business Analytics, Data Science, Statistics, Management Information Systems or a related field Minimum of a 3.0 GPA strongly preferred Active involvement in campus, community, or other volunteer activities and/or organizations preferred Strong written and verbal communication skills High level of confidentiality and professionalism Excellent attention to detail and organizational skills Basic knowledge of Microsoft Office Suite (Word, Excel, Outlook, PowerPoint) Interest in learning and contributing to a variety of [Department] functions Prior internship or office experience a plus, but not required Candidates must be legally authorized to work in the United States on a full-time basis without requiring future sponsorship for employment visa status What You'll Gain Exposure to real-world data analysis practices and systems Experience working with cross-functional teams Mentorship and support from industry leading data analysis professionals Opportunities to make meaningful contributions to organizational projects A stronger understanding of career paths within data and business analytics

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

We are looking for a Data Scientist! This position will play a key role in shaping data-driven strategies that directly influence the bank's profitability, customer value, and market competitiveness. This role sits at the intersection of analytics, finance, and product strategy - transforming data into pricing intelligence that supports smarter, faster business decisions. Will design and implement advanced pricing and profitability models for retail banking products, leveraging internal performance metrics, market benchmarks, and third-party data sources. Through predictive modeling, elasticity analysis, and scenario testing, will help the organization optimize deposit and loan pricing, forecast financial outcomes, and identify growth opportunities. Collaborating across product, finance, and executive teams, will translate complex analytical findings into clear business recommendations that drive strategic action. Will also contribute to enhancing our analytics infrastructure - improving data pipelines, model governance, and reporting capabilities to strengthen enterprise-wide decision-making. Core Expertise: Pricing strategy · Profitability modeling · Financial forecasting · Machine learning · SQL · Python · R · Data visualization · Strategic analytics · Cross-functional collaboration CapFed is an equal opportunity employer.

Position Profile: Data Science InternDepartment: Finance, Strategy & Analytics Reports to: Senior Data ScientistStatus: Intern, Hourly JOB SUMMARY:The Data Science Intern will play a key role in supporting the Kansas City Chiefs' Finance, Strategy & Analytics team. You will help enhance our data infrastructure by assisting with potential migration efforts to a modern data platform, supporting updates to connected Plotly Dash applications, and validating data pipelines as needed. You will also contribute to real-time insights, data visualization, and advanced analytics that help transform data into meaningful, actionable decisions across the organization. JOB RESPONSIBILITIES: Support the team in evaluating and potentially transitioning data workflows from PostgreSQL to a modern data platform. Assist in restructuring, optimizing, and validating datasets and queries across evolving data environments. Help update and maintain Plotly Dash applications, ensuring stable data connections during platform transitions. Maintain and enhance reports, dashboards, and analytical tools used by executives and department leaders. Develop or improve internal applications that support real-time, data-driven decision making. Assist with analytical projects such as retention modeling, customer segmentation, dynamic pricing, and financial forecasting. Document data processes, sources, and architectural changes as infrastructure evolves. Work with internal teams and vendors to ensure data accuracy, timeliness, and reliability. Support ad-hoc analysis requests and identify opportunities for new projects or process improvements. JOB REQUIREMENTS:Required Qualifications Proficiency in Python and familiarity with commonly used analytics and data engineering libraries. Strong SQL skills and understanding of relational database concepts. Familiarity with PySpark or an interest in learning distributed computing frameworks. Interest in modern data platforms, cloud technologies, or large-scale data processing environments. Ability to troubleshoot API integrations and application data connections. Ability to combine data from multiple sources and validate data accuracy. Strong analytical and problem-solving skills. Ability to collaborate effectively with teammates and stakeholders across the organization. Ability to work flexible hours, including evenings, weekends, and holidays as needed. Familiarity with Microsoft Office tools (Excel, PowerPoint, Dynamics CRM). Preferred Qualifications 0 - 1 year of experience in related analytics, engineering, or technical role. Experience with Plotly Dash (enterprise or open source) or other application frameworks. Experience with PySpark, Spark SQL, or cloud-based data processing tools such as Databricks, Snowflake, or similar platforms. Experience with HTML/CSS and JavaScript. Pursuing or holding a degree in Mathematics, Statistics, Computer Science, Engineering, or a related field. Experience with Tableau or Power BI. Experience with Git or other version control systems.

The Data Analyst is responsible for ongoing analysis of financial data worldwide, obtained from a variety of different sources. It involves development and preparation of information, reconciliations and reports for management & associates. * Subject matter expert for the global finance data model * Create & generate standard and ad hoc reports on a regular basis * The data analyst must be able to recognize data issues and work with providers of data to resolve problems * Provides consulting, training, reporting and primary technical support as need for data intensive projects throughout the project lifecycle including post go-live * Responsible for monitoring progress and maintaining responsibility for delivering project deliverables accurately and on time * Review & analyze data to answer financial & technical questions Other Responsibilities: * Makes decisions in compliance with established corporate and department standards * Provides exceptional customer service and adheres to the Lockton philosophies

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00