Data science internship jobs in Kansas City, KS - 71 jobs

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

We are seeking a Power BI Data Analyst to design and create dashboards and reports in PowerBI. This role will focus on analytical problem-solving to deliver reliable, scalable, and governed data platforms. The Data Analyst will work closely with business and IT teams to ensure data is accurate, accessible, and supports informed decision-making. Responsibilities * Build and enhance Power BI dashboards and reports using Fabric's Direct Lake Mode. * Apply data modeling practices (Star Schema, Dimensional, Data Vault) aligned with business needs. * Conduct exploratory analysis to identify trends and anomalies, translating findings into business insights. * Apply governance principles and monitor data quality for accuracy, timeliness, and completeness. * Partner with business and IT teams to define KPIs and use cases for analytics. * Share expertise, train users, and stay current on Microsoft Fabric updates. Requirements * 5+ years of experience designing dashboards and reports using PowerBI. * Strong SQL skills with expertise in data transformations and performance-tuning. * Proficiency in DAX and Power Query (M). * Solid understanding of data modeling techniques (Kimball, Inmon, Data Vault). * Experience with governance practices and frameworks (DAMA-DMBOK, Microsoft Purview preferred). This is a 6-month Contract-for-Hire opportunity with our Lenexa, KS client. Employee benefits include Medical/Dental Benefits, Paid time off, Paid Holidays, and 401(k). H1-B Visa sponsorship is not available for this position. No third-parties, please. #LI-RH1

Job Description 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. Position Summary 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

Kforce is looking for a Data Analyst for a contract to hire opportunity in Lenexa, KS. This role requires working across stakeholders, including IT, business analysts, and leadership teams, to ensure data is accurate, accessible, and actionable. Responsibilities: Data Analysis and Interpretation: * Analyze large and complex data sets to identify trends, patterns, and insights that support business objectives * Develop and maintain reports, dashboards, and visualizations to effectively communicate data findings to stakeholders * Collaborate with leadership to define and implement analytics strategies aligned with business objectives Data Quality and Management: * Ensure data accuracy, quality, and integrity by implementing data validation and cleansing processes * Maintain and update data management systems to ensure reliable and efficient data storage and retrieval Cross-functional Collaboration: * Partner with IT, business intelligence, and analytics teams to integrate data solutions into business processes and applications * Work closely with stakeholders across departments to understand data needs and deliver actionable insights Tools and Technologies: * Utilize data analysis and modeling tools (e.g., MS Fabric, SQL, Python, R) to conduct thorough data analysis * Employ data visualization platforms like Power BI to create clear and informative visualizations Continuous Improvement: * Stay updated with emerging trends, technologies, and best practices in data analytics * Recommend innovative solutions to improve system efficiency and performance* Bachelor's degree in Computer Science, Data Management, Business Administration, or related field * Proven experience (3+ years) in data analysis and interpretation * Strong understanding of data analysis principles, statistical techniques, and data modeling * Proficiency in data analysis and modeling tools (e.g., MS Fabric, SQL, Python, R) * Proficiency in data visualization platforms like Power BI * In-depth knowledge of relational database management systems (e.g., Oracle, SQL Server, MySQL) * Excellent communication and collaboration skills with the ability to translate complex technical concepts into business insights, both written and verbally * Strong problem-solving skills and attention to detail * Ability to efficiently work with interdepartmental teams and other internal stakeholders * Reflects the qualities of -Hungry, Humble, and Smart- Preferred Qualifications: * Master's degree preferred * Professional certification in data analysis (e.g., Certified Data Management Professional, Microsoft Certified Data Analyst Associate) is highly desirable * Local to the Kansas City Metro Area

We are seeking a BI Analyst / Data Analyst to join our team. Responsibilities: - Interpret trends and identify biases using strong critical thinking and statistical knowledge to ensure insights align with business goals. - Translate data into compelling stories, write clear and concise reports, and present insights confidently to both technical and non-technical audiences. - Prioritize tasks, maintain data accuracy, and collaborate across departments to meet deadlines effectively. - Maintain a client-focused mindset with a natural curiosity for data, adapting to new tools and proactively solving problems. - Perform data extraction, transformation, and loading from various systems; utilize analysis tools (R, SQL), data visualization tools (Tableau, Power BI), and integrate APIs. - Demonstrate database proficiency, particularly with Snowflake. Skills and Qualifications: - Strong critical thinking and statistical knowledge. - Excellent communication skills for writing reports and presenting insights. - Effective project and time management abilities. - Client-centric approach with adaptability and problem-solving skills. - Technical proficiency in data extraction, transformation, loading, analysis tools (R, SQL), data visualization tools (Tableau, Power BI), API integration, and database management (Snowflake). Location: Kansas City AdamsGabbert is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe in inclusivity and the strength it brings to our workforce, and we encourage candidates from all backgrounds to apply. Our dedication to promoting diversity, multiculturalism, and inclusion is reflected in all of our roles, and decisions on hiring and employment are solely based on qualifications, merit, and business need.

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 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.

Who We Are: Spring Venture Group is a leading digital direct-to-consumer sales and marketing company with product offerings focused on the senior market. We specialize in distributing Medicare Supplement, Medicare Advantage, and related products via our family of brands and dedicated team of licensed insurance agents. Powered by our unique technologies that combine sophisticated marketing, comparison shopping, sales execution, and customer engagement - we help thousands of seniors across the country navigate the complex world of Medicare every day. Job Description Overview At SVG, we are a leader in driving business solutions using analytics and data. The Data Science team operates at the very heart of this culture, constantly investigating how machine learning can optimize business, automate processes, improve KPIs, and forecast trends. The Applied Data Science team is ideal for those who like to be where business and science intersect. They collaborate with stakeholders across SVG to identify business problems, and then apply data science skills to optimize objectives and directly impact key performance indicators. About the role As a Junior Data Scientist on the Applied DS team you will receive exposure to all facets of data science at SVG and be given self-development and skills training opportunities. You will work as part of a team to solve business-related problems using data-driven techniques. You will help transform our data into tangible business value by performing statistical analysis, contributing to production services, and communicating the outcomes across business verticals. * This is a hybrid role 2-3 days inoffice in our dowtown office, so must currently be in Kansas City. We are unable to sponsor for this role, so can not consider candidates with their EAD/OPT. Also, no third parties. Responsibilities * Learn about and improve existing AI and machine learning systems, or build new ones altogether. * Train and Deploy great models, then create tangible value with them. * Develop lead engagement strategies that utilize model outputs. * Train a close rate model and apply it to customer outreach. * Derive actionable insights from transcripts using LLMs. * Test a hypothesis and utilize the data to drive the way forward. * Run thorough A/B tests that show and validate measurable improvements. * Conduct analyses of business topics and present actionable insights to team leadership. * Build Tableau dashboards to investigate business questions and analyze ML systems. * Begin writing production-level machine learning and engineering code. * Create automated solutions that solve operational pain-points and reduce manual work. * Develop understanding of and utilize our tech stack - including MySQL, Python, AWS (esp. SageMaker), Git, FastAPI, and LangChain. * Share ownership of production workflows, in collaboration with senior team members. * Demonstrate consistent initiative and follow-through. * Work through every step of the Machine Learning Lifecycle; take a problem definition all the way through to a deployed and tracked production model. * Build trust throughout the organization. * Perform other duties and responsibilities as assigned. Qualifications Qualifications * Bachelor's degree in analytical or technical field, or 2+ years of relevant work experience. * Experience analyzing data and using it to drive decisions. * Demonstrated problem-solving skills. * Passionate about mathematical and statistical applications in business. * Strong sense of accountability and integrity with exceptional written and verbal communication skills. * Adaptable, acting with appropriate urgency when needed. * General understanding of SQL and relational databases. * Fluency in at least one programming language, preferably Python. * Familiarity with basic machine learning concepts. * Interest in AI and LLMs for engineering and analysis tasks. * A strong work ethic combined with self-awareness and a commitment to continuous improvement. Demonstrated ability to receive and incorporate feedback effectively. Preferred * Graduate coursework in Data Science, Statistics, or similar. * Experience using version control systems and performing code reviews. * Familiarity with owning 24/7 operational systems. * Experience in a highly-productive work environment where ambiguity is the norm. Additional Information Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: * Competitive Compensation * Medical, Dental and vision benefits after a short waiting period * 401(k) matching program * Life Insurance, and Short-term and Long-term Disability Insurance * Optional enrollment includes HSA/FSA, AD&D, Spousal/Dependent Life Insurance, Travel Assist and Legal Plan * Generous paid time off (PTO) program starting off at 15 days your first year * 15 paid Holidays (includes holiday break between Christmas and New Years) * 10 days of Paid Parental Leave and 5 days of Paid Birth Recovery Leave * Annual Volunteer Time Off (VTO) and a donation matching program * Employee Assistance Program (EAP) - health and well-being on and off the job * Rewards and Recognition * Diverse, inclusive and welcoming culture * Training program and ongoing support throughout your Venture Spring Venture Group career Security Responsibilities: * Operating in alignment with policies and standards * Reporting Security Incidents Completing assigned training * Protecting assigned organizational assets Spring Venture Group is an Equal Opportunity Employer

Are you passionate about harnessing data to drive business strategy and shape decision-making at the highest levels? Do you thrive at the intersection of finance, analytics, and innovative problem-solving? If so, Deloitte invites you to step into a pivotal role as a Lead Data Scientist. At Deloitte, you'll work alongside a team of accomplished professionals, delivering impactful financial planning and advanced analytics for our Strategic Analytics function in a rapidly evolving business landscape. As a strategic advisor to executive leaders, you'll have the opportunity to influence major decisions, develop cutting-edge data science solutions, and see your insights translate into real-world results. We offer an environment built for growth-for both your technical and leadership abilities. You'll collaborate on high-visibility projects, contribute directly to business outcomes, and expand your expertise with the resources of a top-tier firm. If you're driven to make a difference and ready for meaningful professional and personal development, consider joining our Data Science team at Deloitte Strategic Analytics. The team and the role The Strategic Analytics team is dedicated to delivering actionable insights to finance and operational leaders, empowering them to make data-driven decisions that drive organizational success. By leveraging advanced analytical techniques and cutting-edge technologies, the team transforms complex data into clear, strategic recommendations. Our team members collaborate closely with various departments to understand their unique challenges and opportunities, ensuring that our analyses are both relevant and impactful. Join us to be at the forefront of strategic decision-making, where your analytical skills will directly contribute to shaping the future of our Firm. Recruiting for this role ends on January 12, 2026 The successful candidate will possess: Key responsibilities: + Lead Data-Driven Consulting Projects: Manage end-to-end delivery of analytics and strategic initiatives for clients, translating business objectives into actionable data science solutions. + Advanced Data Analysis: Develop statistical models and machine learning algorithms to solve complex client problems and inform decision-making. + Strategic Planning & Execution: Support and drive high-impact projects by evaluating business challenges, designing project roadmaps, and implementing analytic solutions. + Stakeholder Engagement: Collaborate with cross-functional teams (including business, technology, and finance leads) to understand requirements, secure buy-in, and communicate findings effectively. + Insight Generation & Reporting: Transform large and complex data sets into meaningful insights, and communicate findings via presentations and dashboards tailored for executive audiences. + Continuous Improvement: Stay up to date with emerging data science trends, tools, and best practices to enhance project outcomes and client value. + Financial Analysis: Apply financial acumen to project work, offering insights on revenue impact, cost optimization, and other finance-related considerations. Required Qualifications + Education: Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Mathematics, Statistics, Engineering, Business Analytics, Finance, or related discipline). + Minimum of 3+ years of relevant experience + Data Science Techniques: Proficient in advanced analytics, statistical modeling, machine learning, and data visualization tools (such as Python, R, SQL, Tableau, or Power BI). + Strategic Thinking: Demonstrated ability to translate analytical findings into actionable business strategies and recommendations. + Consulting Experience: Proven track record of delivering value in a client-facing or advisory capacity. + Communication: Demonstrated ability to explain technical concepts to non-technical stakeholders and craft executive presentations. + Ability to travel 0-5 %, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred Qualifications: + Finance Acumen: Familiarity with financial principles, statements, and metrics; previous experience supporting finance-related projects or functions is a plus. + Familiarity with Databricks and Azure platforms. 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 to $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_ExpHire 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.

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Analyse and identify the linkages and interactions between the component parts of an entire system. + Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. + Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. + Develop skills outside your comfort zone, and encourage others to do the same. + Effectively mentor others. + Use the review of work as an opportunity to deepen the expertise of team members. + Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach + Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps + Structuring, write, communicate and facilitate client presentations; and, + Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

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.

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. U.S. citizenship is required for this position due to government contract requirements. 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

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.

The Data Analyst will collect, analyze, and interpret data to provide actionable insights that support strategic and operational decision-making. This role involves transforming complex datasets into clear, meaningful reports and visualizations, identifying trends, and recommending solutions to improve business performance. The Data Analyst will collaborate closely with cross-functional teams to ensure data accuracy, integrity, and accessibility while leveraging analytical tools and best practices to drive data-informed outcomes. Please note that this position is on-site and is not eligible for remote work Essential Duties: * Use statistical methods, data mining techniques, and visualization tools to explore and analyze data * Identify patterns, trends, and anomalies within datasets that can inform business decisions * Build predictive models, forecast future trends, and identify key performance indicators (KPIs) * Explain complex data in a clear and concise manner, highlighting key insights and recommendations * Collaborate to implement data-driven strategies * Perform recurring data audits to ensure data accuracy and integrity * Create advanced data visualizations and blended datasets in Workday Prism to integrate Workday and non-Workday data sources * Ensure data integrity, security, source control, and compliance with KCU policies and privacy regulations * Deliver specialized, time-sensitive reports to meet emerging business needs Qualifications: * Bachelor's degree in Data Analytics, Computer Science, Data Science, or Statistics * 2-5 years of analytics experience leveraging large, multi-source datasets using analytic tools (e.g., Python, Power BI, Tableau) * High degree of discretion, judgment, and confidentiality in handling sensitive information * Strong analytical, problem-solving, and critical thinking skills * Ability to translate complex data into clear business insights * Excellent communication and stakeholder engagement skills Preferred Qualifications: * Experience with configuring Workday reports (including advanced and composite reports) and calculated fields * Knowledge of Workday data sources and business objects * Experience building data sets leveraging Workday Prism Analytics Equal Opportunity Employer KCU is committed to promoting an equal employment opportunity workplace. Equal opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without discrimination on the basis of race, color, religion, sex, age, national origin, genetic information (GINA), physical or mental disability, pregnancy, sexual orientation, gender identity, marital status, familial status, ancestry, military and/or veteran status, and/or any other status protected by applicable Federal, state or local law. Annual Security Report KCU is committed to providing a safe campus for students, faculty, and staff. Our annual campus security report lists campus crimes and statistics for the campus and public areas around campus for the last three years, in accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act. Thank you for your interest in a career at KCU!

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

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.

The Enterprise Fraud Strategy group provides bank-wide support for detecting, preventing, and investigating fraudulent activity across multi-channel payment systems. The Fraud Data Scientist reports directly to the Manager, Fraud Reporting & Analytics, supporting business reporting and analytical needs for fraud initiatives. The Fraud Data Scientist works as a member of a reporting and analytics team and utilizes tools for conducting analytics for managing fraud strategies, as well as creating reports consumed by LOB (lines of business) senior executives. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Operations leadership. This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area but only within the US. How you'll spend your time: Work closely across the organization to develop and implement statistical analysis, artificial intelligence, machine learning processes and algorithms, and deep learning for fraud modeling. Use dynamic techniques like Machine Learning to gain insights about the future. Answer the “What will happen, and What should be done?” questions. Gather business detail from peers and internal customers to adapt/enhance models. Routinely measure model performance and implement modifications as needed. We're excited to talk if you have: Master's Degree in Computer Science, Math, Economics, Statistics, or another quantitative field and 2+ years of unsupervised data modeling and segmentation experience OR any combination of education and experience that would provide an equivalent background. Proven expert level foundation of math, statistics, and programming. Demonstrated hands-on working knowledge of R or Python, Snowflake, SQL Server or similar database management tool and visualization tools such as Tableau or Power BI. Superior critical thinking skills. Strong proficiency in statistical algorithm development and evaluation. Proficiency in advanced statistics, hyperparameter tuning, A/B Testing, predictive modeling, recommendation systems, propensity scoring, natural language processing, clustering, customer segmentation, data acquisition, mining structured and unstructured data, designing tools, automation systems, and data frameworks. Bonus Points if you have: Banking or financial services industry experience. Fraud reporting or analytics experience. Applicants must have legal authority to work in the United States. Work Visa sponsorship not available for this position. Deadline to Apply: March 8, 2026 Compensation Range: $69,230.00 - $149,000.00 The posted compensation range on this listing represents UMB's standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. In addition, this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information. UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary. Are you ready to be part of something more? You're more than a means to an end-a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard. UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e-mail to ************************* to let us know the nature of your request. If you are a California resident, please visit our Privacy Notice for California Job Candidates to understand how we collect and use your personal information when you apply for employment with UMB.

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.

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. U.S. citizenship is required for this position due to government contract requirements. 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