Building Science Intern - Summer 2026
Data science internship job in Kansas City, MO
We at BranchPattern are seeking a motivated and detail-oriented Building Science Summer Intern to join our team for Summer 2026. This is a hands-on opportunity to gain experience in the fast-growing field of building science, with a focus on green building consulting, energy analytics, and building commissioning. You will work closely with our multidisciplinary team of engineers, architects, and consultants to assist in evaluating building performance, optimizing energy efficiency, and implementing sustainable design practices.
Key Responsibilities:
Assist in building performance analysis using simulation software to assess energy efficiency, daylighting, thermal comfort, and other sustainability metrics.
Support the commissioning process by participating in system verification, functional performance testing, and documentation reviews.
Conduct research on sustainable building materials, energy codes, and emerging green technologies to support project recommendations.
Assist in the development of reports and presentations for clients, summarizing building performance findings and sustainability strategies.
Participate in site visits to assess building systems, including HVAC, lighting, and envelope performance, and support in preparing commissioning plans and checklists.
Collaborate with team members on LEED, WELL, and other green building certification projects, helping with documentation and compliance tracking.
Analyze and interpret building performance data to assist in identifying energy-saving opportunities and recommending solutions.
Minimum Qualifications:
Currently pursuing a Bachelor's or Master's degree in Architectural Engineering, Mechanical Engineering, or Architecture.
Strong interest in building science, consulting, and sustainability.
Strong analytical and problem-solving skills, with attention to detail.
Excellent communication and teamwork skills, with the ability to work collaboratively in a consulting environment.
Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint);
Desired Qualifications:
Basic knowledge of building systems, including HVAC, lighting, and envelope design.
Familiarity with building performance simulation tools (e.g., EnergyPlus, IESVE, or similar) is a plus.
Experience with AutoCAD or Revit is a plus.
BranchPattern is a great place to work!
BranchPattern is an award-winning firm built by engineers and building scientists who genuinely care about improving people's lives. We are advocates for building a better environment and community. Our employees are progressive, passionate, and innovative change agents that strive to deliver high-quality projects. If you are ready to make a difference and improve the lives of our communities, apply today.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Data Center Quality Inspector-Intern
Data science internship job in Kansas City, MO
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.
CDP DATA ANALYST
Data science internship job in Kansas City, MO
CDP DATA ANALYT - ENTERPRISE DIGITAL TEAM Salary: UP TO $140,000 BASE + BENEFITS *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***
Join a greenfield digital initiative backed by a Fortune 500 parent company. Help design and build a Customer Data Platform (CDP) from scratch to deliver unified customer insights and enable personalization at scale.
Key Responsibilities:
- Define CDP data requirements and design data models for a 360° customer view.
- Integrate data from CRM, ERP, web, and mobile sources.
- Implement data quality checks, governance, and compliance standards.
- Build dashboards and reports for segmentation and analytics.
Required Skills & Experience:
- 5+ years in data analysis with customer data focus.
- Advanced SQL and Python for data manipulation.
- Experience with ETL/ELT pipelines and tools (dbt, Airflow).
- Familiarity with CDP platforms or custom-built solutions.
- Knowledge of cloud data architectures (AWS, Azure, GCP).
Nice to Have: Identity resolution, customer journey analytics, personalization strategies.
*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. *** Requirements Marketing Analytics, CRM Marketing, Customer Journey Mapping, Customer journey, Python, SQL Queries, Cloud ERP, Data Analytics, Data Flow, Data Governance, Data Integration, Data segmentation Innovation starts with people.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) .
Data Protection and Privacy Analyst
Data science internship job in Kansas City, MO
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
**Data Protection and Privacy Analyst**
Ethics, Compliance, and Risk Management (ECRM) supports our people in managing the risks that arise during our daily working lives. We work closely with all parts of the organization to identify, manage and monitor risk, providing coordinated advice and assistance on independence, conflicts, compliance, regulatory, policy, security issues, as well as dealing with claims and any queries regarding ethics.
**The opportunity**
We are operating in an increasingly connected world that is changing how to manage risk. With fast-paced technology advancements, new innovations within emerging technologies, and an ever-challenging regulatory environment, it is business critical for our organization to identify not only the risks but the opportunities these present to us. As a Data Protection & Privacy Analyst, you will help the Data Protection team make educated, thoughtful decisions on Risk Management. Our brand depends on it. It's all part of our long-term commitment to building a better working world and in return, you can expect plenty of opportunities to take on new responsibilities and develop your career.
**Your key responsibilities**
As part of the EY Americas Data Protection (Confidentiality, Data Privacy) function, you will play a key role in facilitating compliance with applicable legal and regulatory and EY policy requirements, including by helping to update and maintain our inventory of data, processing activities, applications, and suppliers across EY's business activities. You will also assist in responding to data subject rights (DSR) and internal data access requests, managing and documenting activities around data incidents (i.e., instances of loss, theft, or inappropriate disclosure of confidential/personal information), and supporting metrics analysis and reporting for keeping stakeholders informed of key Data Protection trends.
**Skills and attributes for success**
+ Supports multiple aspects of the Data Protection compliance program, including but not limited to:
+ Tracking new and/or revised applicable data protection laws, regulations, and standards (e.g., CPRA, VCDPA, HIPAA),
+ Assisting with tracking and conducting data protection due diligence reviews of processes, systems/technologies, suppliers, and M&A targets,
+ Reviews and assists with addressing inquiries from business teams, including coordinating appropriate responses based on documented procedures,
+ Supporting engagement and account risk monitoring and mitigation efforts, and
+ Monitoring and assessing program controls.
+ Maintains and expands current knowledge of field of expertise and communicates new developments and resulting impact to program stakeholders and team members.
+ Develops relationships across teams/functions within the organization.
+ Participates in other ad-hoc Data Protection & Privacy projects, as assigned.
**To qualify for the** **role,** **you must have**
+ Strong verbal and written communication skills
+ Strong research and project management skills
+ Strong problem-solving skills
+ Ability to be flexible and take initiative
+ Strong organizational skills
+ Ability to successfully handle multiple tasks
+ Proficient in Microsoft Word and Excel and technology savvy
+ A bachelor's degree or equivalent work experience
+ 1-3 plus years related experience
**Ideally, you'll have**
+ Ability to perform initial reviews of submissions from client teams and evaluate completeness, accuracy and appropriateness of proposed transaction or requests
**What we look for**
We're looking for individuals that have strong problem-solving skills who aren't afraid to take initiative. You'll need to have an enthusiasm for capturing and analysing data. If you're great at communicating with people in a fast-paced environment, this is a great place to develop all the skills that will progress your career.
**What we offer you**
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
+ We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $40,900 to $74,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $49,100 to $84,400. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
+ Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
+ Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
**Are you ready to shape your future with confidence? Apply today.**
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
**EY | Building a better working world**
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .
Pharmacy Data Analyst
Data science internship job in Kansas City, MO
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.
Data Analyst II
Data science internship job in Kansas City, MO
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
Data Analyst
Data science internship job in Kansas City, KS
Position Title: Data Analyst Reports to: CDAO Position Objective: We are seeking a highly motivated and detail-oriented Entry-Level Data Analyst to join our team. This role is ideal for professionals looking to grow their analytical skills in a dynamic, data-driven environment. You will support business decisions by collecting, analyzing, and interpreting data to uncover trends, patterns, and insights. Essential Functions
Collect, clean, and validate data from internal and external sources.
Analyze datasets to identify trends, patterns, and opportunities for improvement.
Build and maintain dashboards and reports using Power BI.
Write and optimize SQL queries to extract and manipulate data.
Collaborate with business stakeholders to understand data needs and deliver insights.
Assist in developing and maintaining data documentation and reporting standards.
Support ad hoc analysis and contribute to ongoing data initiatives.
Perform exploratory data analysis to identify trends and anomalies.
Basic Qualifications
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
Based out of Oklahoma City metropolitan area.
Proficiency in Power BI for data visualization and reporting.
Strong working knowledge of SQL for querying and data manipulation.
Solid analytical and problem-solving skills.
Attention to detail and ability to manage multiple tasks.
Strong communication skills to present findings clearly and effectively.
Preferred but not required:
Experience with Salesforce, Snowflake, and/or Python
Understanding of data modeling and ETL processes.
Exposure to business intelligence or analytics projects.
National Real Estate Insurance Group, LLC is an at-will organization, and this document does not serve as an employment contract. This job description is not intended to be an exhaustive list of all duties, responsibilities or qualifications and additional tasks may be assigned by a supervisor.
Lead Data Scientist GenAI, Strategic Analytics - Data Science
Data science internship job in Kansas City, MO
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.
Business Analyst Intern
Data science internship job in Kansas City, MO
About Us
American Century Investments is a leading global asset manager with over 65 years of experience helping a broad base of clients achieve their financial goals. Our expertise spans global equities and fixed income, multi-asset strategies, ETFs, and private investments.
Privately controlled and independent, we focus solely on investment management. But there's an unexpected side to us, too. We direct over 40% of our profits every year-more than $2 billion since 2000-to the Stowers Institute for Medical Research. Our ongoing financial support drives the Institute's breakthrough work and mission of defeating life-threatening diseases like cancer and Alzheimer's. So, the better we do for our clients, the more we can do for everyone.
All 1,400 of us across the globe are inspired every day by the unique difference our hard work can make in so many lives. It shows in the curiosity we bring to every initiative, the deep relationships we build with our clients, and the way we treat each other in the hallway. If you're excited to learn more about us, we can't wait to learn more about you.
Role Summary
This program is for currently enrolled undergraduate students. The deadline to apply is October 22, 2025.
This position is not eligible for visa sponsorship. Applicants must be authorized to work in the U.S. without visa sponsorship, now or in the future.
Are you seeking an opportunity to learn the basics of the financial services industry with a reputable firm in KC?
The Business Analyst Intern responsibilities include assessing the requirements of the organization with respect to its operations and processes, as well as the design and implementation of new systems. The Business Analyst Intern will work closely with a team responsible for automating business processes. They will learn and understand our system applications and help to identify improvement opportunities. The analyst will test automations to ensure that they meet stakeholder requirements. The position requires an individual capable of operating in a fast-paced environment while working on several projects simultaneously.
How You Will Make an Impact
Gather and document requirements using interviews, analysis of business processes or conducting requirements workshops.
Analyze task and workflows to effectively develop use cases and test scenarios.
Drive and challenge business units on their assumptions of how they will successfully execute their plans.
Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish user requests from the underlying true needs.
Proactively communicate and collaborate with external and internal customers to analyze information needs and functional requirements.
Assist with the configuration of vendor systems and tools to meet business requirements.
Serve as the conduit between internal/external customers and the software development teams through which requirements flow.
Be the liaison between the business units, support team, technology teams and external vendors.
Prepare user documentation and training documentation as necessary.
Troubleshoot and solve problems relating to production systems and business processes.
What You Bring to the Team (Required)
Demonstrates the American Century Investments Winning Behaviors: Client Focused, Courageous and Accountable, Collaborative, Curious and Adaptable, Competitively Driven.
Passion for gaining experience within the finance industry and an aim to learn more about client relationships and support.
Students seeking opportunities to acquire full-time roles beyond graduation.
Additional Assets (Preferred)
Experience working with a vendor accounting platform such as UiPath, SS&C applications, etc.
Strong technical aptitude and ability to work with technical teams
Demonstrated effectiveness working in dynamic and changing environment.
Working knowledge of Microsoft Word, Excel and Access.
What We Offer
Our interns receive competitive pay, as well as 401k eligibility for contributions
Mentor Program: a designated mentor will be assigned to you during your time with us to provide career coaching and mentorship
Housing assistance for any interns that join us with a permanent residence outside of the Kansas City Metro Area
Access to Business Resource Groups that you can ally and participate in (Diversity, Women in Finance, LGBTQ+, Emerging Professionals, Veterans)
Casual dress code - be comfortable and express your unique self
A robust social and philanthropic calendar of events hosted just for interns!
Internship Structure
10 Week Program - June 1 to August 7
40 hours a week, between 8am-5pm CST
Additional Requirements
Employees are required to be in the office on a scheduled frequency. Adherence to this schedule is essential to fulfilling the expectations of the role.
American Century Investments is committed to complying with the Americans with Disabilities Act and all other applicable Equal Employment Opportunity laws and regulations. As such, American Century strives to provide a reasonable accommodation to any qualified individual under the ADA to perform essential job functions.
We encourage people of all backgrounds to join us on our mission. If you require reasonable accommodation for any aspect of the recruitment process, please send a request to HR-Talent_*******************************. All requests for accommodation will be addressed as confidentially as practicable.
American Century Investments believes all individuals are entitled to equal employment opportunity and advancement opportunities without regard to race, religious creed, color, sex, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, gender, gender identity, gender expression, age for individuals forty years of age and older, military and veteran status, sexual orientation, and any other basis protected by applicable federal, state and local laws. ACI does not discriminate or adopt any policy that discriminates against an individual or any group of individuals on any of these bases.
#LI-Onsite
American Century Proprietary Holdings, Inc. All rights reserved.
Auto-ApplyData Analyst Manager
Data science internship job in Kansas City, MO
By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.
Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies
Certified as a Great Place to Work
Fortune Best Workplaces in Financial Services & Insurance
Data Analyst Manager
**PRIMARY PURPOSE OF THE ROLE:** To manage a staff of data analysts; to develop complex reports and analyze company data including Corporate or client specific data; to serve as a technical resource for company staff on data analysis and benchmarking issues; to meet with clients on such issues as necessary; to provide training and data analysis education for program staff; and to provide technical oversight and guidance to client dedicated analysts located in multiple field offices.
**ARE YOU AN IDEAL CANDIDATE?** We are looking for enthusiastic candidates who thrive in a collaborative environment, who are driven to deliver great work, are customer-oriented and are naturally empathetic.
**ESSENTIAL RESPONSIBLITIES MAY INCLUDE**
+ Project Management experience preferred
+ Manages a staff of data analysts including project assignment and workflow.
+ Develops comprehensive, complex and accurate information reports including OSHA reporting for a specific client.
+ Creates complex data reports and provides analysis for forecasting and/or benchmarking used by senior management.
+ Reports directly to senior management and communicates data findings for forecasting and client needs.
+ Obtains, analyzes and provides appropriate feedback on company or client specific information needs.
+ Provides complex data analysis functions to meet client specific, program or company senior management needs.
+ Serves as a resource for colleagues on data analysis and benchmarking issues.
+ Provides technical oversight and guidance to client dedicated analysts located in multiple field offices.
+ Provides training and data analysis education for colleagues.
**QUALIFICATIONS**
Bachelor's degree with major in Business Administration, Statistics, or Quantitative Analysis from an accredited college or university preferred. Computer Science courses preferred.
Eight (8) years of related experience or equivalent combination of education and experience required to include four (4) years business experience in an insurance related field and four (4) years statistical analysis required. Supervisory experience preferred.
Skills & Knowledge
+ Project Management
+ Knowledge of risk management information systems including utilization and functionality
+ Excellent oral and written communication, including presentation skills
+ PC literate, including Microsoft Office products
+ Analytical and interpretive skills
+ Strong organizational skills
+ Strong time management skills
+ Excellent interpersonal skills
+ Excellent negotiation skills
+ Ability to work in a team environment
+ Ability to meet or exceed Performance Competencies
Credit Check required
Project Management, SQL, and Python Experience desired.
**TAKING CARE OF YOU**
+ Career development and promotional growth opportunities.
+ A diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more.
\#IT
\#informationtechnology
Work environment requirements for entry-level opportunities include -
Physical: Computer keyboarding
Auditory/visual: Hearing, vision and talking
Mental: Clear and conceptual thinking ability; excellent judgement and discretion; ability to meet deadlines
The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Sedgwick retains the discretion to add or to change the duties of the position at any time.
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
**If you're excited about this role but your experience doesn't align perfectly with every qualification in the , consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the** **right candidate for this or other roles.**
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
**If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.**
**Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see** **sedgwick.com**
Enrollment Data Contractor 2025
Data science internship job in Kansas City, MO
: Enrollment Data Coordinator
Direct Supervisor: Central Office Lead or designee
At Crossroads Charter Schools, we…
Develop school environments where all students are actively and meaningfully engaged in rigorous instruction and authentic learning tasks.
Interrupt the “school to prison pipeline” - policies and practices that are directly and indirectly pushing the most at risk students out of school and on a pathway to the juvenile and criminal justice systems.
Engage families as partners in meaningful ways.
Build the capacity of diverse teams that are more reflective of our students.
Nurture an open, collaborative, and trusting environment because the work is enormous, deeply personal, emotional and often difficult.
Engage in on-going job embedded professional development through co-teaching and co-planning
Position Summary:
This job involves managing and supporting the student information system (Infinite Campus) by entering student data reflecting student enrollment, reporting on student data, ensuring data accuracy, and assisting parents with enrolling their student(s). The role requires technical skills, including knowledge of working in a student information system, along with strong communication skills to support administrators, teachers, and staff. Responsibilities include data entry, report generation, user training, and ensuring compliance with all regulations including Family Education Rights and Privacy Act (FERPA).
This job will preform the duties of the Enrollment Coordinator that will be on leave.
This is a contract position.
Please provide a cover letter and resume.
Position Responsibilities:
Enrollment Coordinator:
Registration Management:Entering and verifying new and returning student data, including processing registrations.Enrollment & Withdrawal Tracking:Maintaining current enrollment counts and transfer/withdrawal data.Data & Team Support:Providing accurate enrollment and attendance data internally and participating in related meetings.
Records Processing:Extracting and providing elementary student records for families and other schools, and uploading new student academic records when received.
Record Management:Ensuring all student records are complete and up-to-date, including verifying addresses, proof of residency, and required elementary academic documentation.
Perform other duties and responsibilities as assigned by their supervisor.
Skills and Qualifications:
Positive and outgoing nature; outstanding interpersonal skills and ability to build relationships with various cultures and communities. Knowledge and cultural competence of local parent and student community.
Spanish language proficiency strongly preferred
Excellent written and verbal communication skills.
Meticulous attention to detail and passion for well-run processes.
Excellent work ethic, positive attitude, flexibility and willingness to perform tasks assigned.
Demonstrated proficiency with Microsoft Excel
Flexibility to work evenings and weekends.
Demonstrates ethical behavior and confidentiality of information about students in the school environment and community.
Must pass an extensive background check and drug screening.
Excellent teamwork skills and an ability to collaborate closely with colleagues and partners to identify challenges and to design and implement solutions.
Must pass extensive background checks.
Technical: Proficiency with the Infinite Campus system, strong data entry skills, and familiarity with student information systems. SQL knowledge is often required for backend or specialized roles.
Analytical: Ability to analyze data, identify issues, and interpret information to support decision-making.
Communication: Strong verbal and written communication skills to interact with a wide range of stakeholders, including teachers, administrators, and parents.
Organizational: Detail-oriented and self-motivated with the ability to work independently or as part of a team.
Compliance: Understanding of and adherence to data privacy regulations, such as FERPA, and other local/state data requirements.
Education and Experience:
Bachelor's degree preferred in marketing, business, communications or related field and/or other courses relevant to the job description.
Experience working in schools or other social service providers, and a familiarity with public education in Kansas City is preferred.
PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This job requires that the employee be able to: sit, stand, walk, speak, hear, use hands, fingers, reach with hands and fingers; bend, stoop, lift objects of at least ten pounds. Job requires the employee occasionally to stoop, kneel, crouch. Visual ability requires mono and color vision, close vision, distance vision, depth perception and ability to adjust focus.
COMMUNICATION: Maintains communication with teachers, other school personnel, and parents/guardians to enhance cooperative action which will meet the educational needs of students.
Compiles data for statistical purposes.
Maintains confidentiality regarding educational records.
ORGANIZATION: Must be able to organize work/lesson plans in a manner understandable to students/parents. Maintains a daily log of school/staff visits and documentation.
Utilizes existing technology effectively in the performance of duties.
Performs other related work as required.
REASONING ABILITY: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
LANGUAGE SKILLS: Ability to read and analyze and interpret general professional journals, technical procedures, or governmental regulations. Ability to write reports, general curriculum and learning theories, correspondence, and protocols. Ability to effectively present information and respond to questions from groups of administrators, staff, parents, students, and the general public.
WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually loud and is a standard acceptable level for this environment. Is directly responsible for students' safety, work output and well-being.
OTHER SKILLS and ABILITIES: Ability to apply knowledge of current research and theory to instructional programs; ability to plan and implement lessons based on division and school objectives and the needs and abilities of students. Ability to establish and maintain effective working relationships with students, peers, parents and community; ability to speak clear and concisely in written or oral communication.
All applicants must apply on the Crossroads website at: ******************************************
Key Working Relationships in Addition to Supervisor:
Teachers, Students, Parents, Volunteers, Office Staff, Support Staff, Assistant Principals, Principals, District Leadership Team, Central Office Team
Data Scientist IV, Manufacturing Science and Technology
Data science internship job in Saint Joseph, MO
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
The basic purpose of the Data Scientist IV, Manufacturing Science and Technology role is to deliver successful data science projects. The incumbent will be the "go to" expert for data science within Manufacturing Science and Technology, for BIAH products and processes throughout the product lifecycle. This role will facilitate, distill and integrate data science information into the technical body of knowledge for BIAH products and processes.
The Data Scientist IV, Manufacturing Science and Technology will explore data analytics innovations to support future definition of manufacturing platforms & processes.
Duties & Responsibilities
Be the "go to" expert for data science within Manufacturing Science and Technology, for BIAH products and processes throughout product/process lifecycle:
Uses data scientific techniques to uncover processes & correlations to expand & improve the body of knowledge for BIAH products & technology.
Delivers optimized solutions for data mining, aligning data processing, predictive analysis and transform data into knowledgeable and understandable information.
Partners with business units to develop dashboards and applications utilizing data for smart decision making.
Promotes collaboration & knowledge exchange with other data science teams within and outside the organization.
Provides thought leadership, research best practices, conduct experiments, & partner with industry leaders.
Facilitates, distills, and integrates data science information into the technical body of knowledge for BIAH products and processes:
Uses data scientific techniques to uncover processes & correlations that expand and improve the body of knowledge for BIAH products & technology.
Leads exchange and advocate for continual improved use of data across global and local Manufacturing Science and Technology teams.
Identifies and resolves causes of poor data quality management, implements solutions & communicates findings.
Actively supports all aspects of the BI data governance standards and programs.
Continually develops and maintains an appropriate individual level of theoretical and practical expertise to respond to the needs of BIAH.
Explores data analytics innovation to support future definition of manufacturing platforms & processes:
Actively networks on a regular basis with internal and external partners.
Autonomously seeks out new ways of using & connecting data for use in existing or new manufacturing processes.
Autonomously researches and recommends future-oriented platforms for analytics enablement efforts.
As needed, delivers successful data science projects:
Understands manufacturing / supply problems and designs end-to-end data science use cases
Collaborates across Global Supply to understand data, IT and business constraints.
Prioritizes, scopes, & measures relevant Key Performance Indicators/Objectives & Key Results for success.
Collaborates with Global / Local Manufacturing Science and Technology, Supply Chain, and the Supply Network to deploy scalable solutions.
Establishes data operational best practices and maintain all compliance requirements.
Establishes the monitoring of data science models in production.
Uses agile approach to initiatives and launches.
Ensures & measures customer satisfaction.
Requirements
Master's in data science discipline or related degree with a minimum of eight (8) years industrial experience in Data Science, Predictive Analytics, or Cognitive Analytics.
OR
Bachelor's degree in data science discipline or related degree with a minimum of ten (10) years of industrial experience in various data science disciplines (Data Science, Computer Science/Business Intelligence, Predictive Analytics, Cognitive Analytics).
Statistics, Computer Science, Data Science certifications in a industrial quantitative performance disciplines preferred.
Machine/Deep Learning, CRISP-DM, and Real-time MVDA certifications preferred.
Experienced in structuring data sets from unstructured data or big data (MapReduce approaches, HDFS, Hadoop architectures, Pig, Spark).
Expertise in data engineering and contextualization of batch and attribute data by managing pharmaceutical object-oriented programmatic methodologies; specifically, PostgreSQL, Kubernetes, WebAPI, SQL, C#, GO, React, .Net, Java, GraphDB/GraphQL, InfluxDB, MongoDB, OSI PI, R, Python, SAS JMP, Spotfire/Tableau, SASEntreprise, Inmation/VisualKPI, SIMCA, SIMCA-online, and Grafana.
Demonstrated expertise in the time-series batch execution systems, ISA-88 batch execution sequencing and contextualization, creating and executing advanced pharmaceutical batch modeling algorithms, interpreting results, distilling solutions and reports for a business stakeholders that facilitate process awareness and improvements in predictability of critical parameters and quality attributes.
Demonstrated expertise in project and change management within the Pharmaceutical Industry
Ability to rapidly develop analytical problem-solving approaches to complex problems, including external constraints such as resource limitations, feasibility topics, consumption by business, change management aspects, etc.
Strong expertise in relevant methods and skills such as machine learning, advanced statistics, algebra, data visualization, artificial intelligence, natural language processing, classification methods, feature extraction, dimensionality reduction, data handling algorithms, regression methods, time-series analysis, predictive modeling, causal inference methods, Bayesian networks, Markov random fields, text analysis, etc.
Demonstrated understanding and ability to apply principles, concepts, practices, and standards including knowledge and use of Animal Health or Pharma data and working knowledge of industry practices.
Demonstrated ability to clearly and concisely communicate ideas, facts, and technical information to senior management, as well as internal customers both verbally and written.
Well-developed understanding of data hygiene as well as data enrichment.
Experienced in handling data bases including ability to run queries.
Basic understanding of web scraping and text processing.
Sound knowledge in scripting languages such as PHP, Perl, Bash.
Desired Skills, Experience and Abilities
Additional Requirements:
Strong intrinsic appetite to develop technical skills.
Fluency in English required - fluency in French, Spanish, and German to support the interactions with other BI Network sites and stakeholders are preferred.
Willingness to travel domestically and internationally.
Demonstrated international/intercultural technical collaboration.
Demonstrated ability to identify and analyze problems, evaluate alternatives, and implement effective solutions.
Ability to work independently with a high degree of accuracy and attention to detail in the fast-paced environment.
Sharp analytical abilities and proven statistics skills.
Eligibility Requirements:
Must be legally authorized to work in the United States without restriction.
Must be willing to take a drug test and post-offer physical (if required).
Must be 18 years of age or older.
Data Scientist - Research Administration
Data science internship job in Kansas City, MO
Department: RI Administration * ---- Research Informatics Data Scientist - Research Administration Job Family Group: Professional Staff 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:
Regular
Time 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
Auto-ApplyData Scientist / Data Architect / Data Governance Lead
Data science internship job in Kansas City, MO
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.
Principal Data Scientist
Data science internship job in Kansas City, MO
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
Easy ApplyPrincipal Data Scientist
Data science internship job in Kansas City, MO
**What We're Looking For** At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners.
This opportunity entails being responsible for developing and delivering advanced data sciences solutions, building and deploying AI agents, and providing technical contributions to various projects for transportation clients. Provides expert technical guidance and integrates with a team of data scientists, applied AI scientists, engineers, and analysts responsible for multiple technologies. Instills team-oriented, client-driven, and results-driven values. Mentor and develop subject matter experts and technologists.
**What You'll Do:**
+ Leads service improvement initiatives and activities to increase customer satisfaction. This includes developing strategic plans, influencing virtual teams to drive execution of initiatives.
+ Works with IT solutions, architecture, utility, and cloud services
+ Acts as technical lead for enterprise data management platform implementation for CRM redesign.
+ Manages and creating user accounts, directory access, and server permissions.
+ Manages the in-house services related to the internet.
+ Trains and educates customers on how to use certain software and hardware as requested.
+ Performs development and architecture for software, database, third-party integration, internationalization and infrastructure.
+ Sponsors roadmap, physical of failures correlation between system hardware, firmware and software, network topology infrastructure, reliability simulation at system and network level
+ Contributes in the development of marketing and collateral material relating to technology services or products. Leads business development and planning efforts, including calculation of cost, risk, and scope, and support local offices in preparation of responses to RFPs, RFIs and RFQs by providing expertise on specialized technologies and/or practices.
+ Provides single point of contact for technology projects and products and/or leads specific technical or functional portions of a project. Determines scope of work and objectives; estimate project costs and prepare proposals and contracts. Actively manages project budget, schedule, communications and documentation. Coordinates work efforts; reviews work performed, and communicates regularly with department leadership on project progress.
+ Applies expert business skills and consulting methodologies to collect and analyze data to determine the applicability, functionality, and viability of new technologies.
+ Advocates for internal and external clients by establishing user groups and acting as a liaison between users and the technology office.
+ Supports the identification of internal resources and external contractors to meet project requirements.
+ Researches new and emerging technologies and assess feasibility applications to current and future business needs. Analyzes business unit activities and trends and compares analyses against service standards and best practices. Presents findings to business unit leadership and identifies and implements strategies that will address tactical and strategic goals.
+ Works with clients and technology office staff to identify, analyze, design, develop and implement fully integrated solutions of moderate to high complexity that support HNTB's products, service and/or business processes.
+ Develops detailed documentation of business systems and user needs, including workflow, program functions, and steps required to develop or modify compute programs or systems.
+ Reviews use cases and other technical documents with technology office project staff to ensure business requirements are adequately reflected in technical planning. Defines, develops and implements quality assurance practices and end user test plans.
+ Ensure process, conducted and documentation accurately reflects the current status of changes and outstanding issues so that business requirements reflect application features and functions. Identifies training and development. requirements of user groups and provide support when required by designing and developing training initiatives.
+ Performs other duties as assigned.
**What You'll Need:**
+ Bachelor's degree in Computer Science, Engineering, or related field and 13 years of relevant experience, or
+ Master's degree in Computer Science, Engineering, or related field and 12 years of relevant experience, or
+ In lieu of education, 17 years of relevant experience.
**What You'll Bring:**
+ Excellent communication, collaboration, and problem-solving skills
+ Business skills, organizational skills, and analytical skills
+ Tolling industry experience with data sciences
+ Proven record of thought-leadership and presenting research at professional or academic organizations
+ Experience in mobility solutions, customer behavior/choice in transportation, ITS, and transportation innovations
**What We Prefer:**
+ Master's degree or higher in engineering, statistics, or data sciences
**Additional Information**
Click here for benefits information: HNTB Total Rewards
Click here to learn more about Equal Opportunity Employer/Disability/Veteran
Visa sponsorship is not available for this position.
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Locations:
Atlanta, GA, Austin, TX, Chicago, IL, Dallas, TX, Kansas City, MO, Minneapolis, MN
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The approximate pay range for Minnesota is $154,170.89 - $246,272.98. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
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The approximate pay range for Illinois is $161,512.36 - $258,000.27. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
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_NOTICE TO THIRD-PARTY AGENCIES:_
_HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees._
**Job Type:** Regular
**Full/Part Time:** Full time
**Job Category:** Technical Group
**ReqID:** R-28331
Data Analyst
Data science internship job in Kansas City, MO
We are looking for a Hybrid Data Analyst based out of Oklahoma City who will collect, clean, and validate data from internal and external sources, analyze datasets to uncover trends and opportunities, and deliver actionable insights through dashboards and reports. This role is critical in supporting business decisions and ongoing data initiatives.
Key Responsibilities
- Collect, clean, and validate data from internal and external sources.
- Analyze datasets to identify trends, patterns, and opportunities for improvement.
- Build and maintain dashboards and reports using Power BI.
- Write and optimize SQL queries to extract and manipulate data.
- Collaborate with business stakeholders to understand data needs and deliver insights.
- Assist in developing and maintaining data documentation and reporting standards.
- Support ad hoc analysis and contribute to ongoing data initiatives.
Perform exploratory data analysis to identify trends and anomalies.
- 3 days on-site
We are looking to pay $60k for this role.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: ****************************************************
Skills and Requirements
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field.
-Proficiency in Power BI for data visualization and reporting.
-Strong working knowledge of SQL for querying and data manipulation.
- Solid analytical and problem-solving skills.
- Attention to detail and ability to manage multiple tasks.
- Strong communication skills to present findings clearly and effectively. - Experience with Salesforce, Snowflake, and/or Python.
- Understanding of data modeling and ETL processes.
- Exposure to business intelligence or analytics projects.
Emerging Technology Cloud Data Scientist
Data science internship job in Kansas City, MO
The Bank Products and Services group provides a bank-wide product and services framework that prioritizes client needs, resources and capital demands for creating growth, providing TUCE and introducing greater innovation and efficiencies into our solutions and operating model.
As an Emerging Technology Cloud Data Scientist, you will be developing, deploying, and optimizing AI/ML models on cloud-native platforms to support the financial organization's digital and analytical transformation. You will leverage advanced statistical modeling, machine learning, and cloud technologies to deliver scalable, secure, and compliant AI solutions. This involves working closely with the Emerging Technology Product Manager to identify and build solutions. You will also collaborate with data engineers, architects, and business stakeholders to create AI models that power fraud detection, risk management, payments modernization, and personalized banking services, ensuring alignment with enterprise AI governance and regulatory requirements. This is a subset of the overall responsibilities which will include multiple initiatives as assigned by IT leadership.
This role is hybrid (Mon through Thu on-site / Fri remote) and located in downtown Kansas City, MO.
How you'll spend your time:
Work closely with the Emerging Technology Product Manager to identify and build solutions.
Design, build, and validate AI/ML models on cloud-native platforms (AWS SageMaker/Bedrock, Azure AI, GCP Vertex AI).
Collaborate with AI Cloud Data Engineers to build scalable data pipelines for model training, validation, and inference.
Develop and maintain cloud-based MLOps pipelines for continuous integration, deployment, and monitoring of AI models.
Ensure AI/ML solutions meet regulatory requirements for fairness, explainability, and security in financial services.
Partner with data architects and governance teams to align models with enterprise data frameworks and compliance standards.
Conduct experiments with advanced techniques such as NLP, generative AI, and deep learning for financial applications.
Monitor and retrain cloud-deployed models to address data drift, performance degradation, or compliance changes.
Document methodologies and results to ensure transparency and audit readiness.
Translate business requirements into scalable AI model solutions deployed in the cloud.
Stay current on advancements in AI/ML, cloud computing, and regulatory AI frameworks.
We're excited to talk with you if:
You have a Bachelor's degree in Data Science, Statistics, Computer Science, or related field and at least 3 years of experience in applied machine learning or data science OR equivalent combination of education and work experience.
You have hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
You have in-depth programming skills in Python or R, with knowledge of AI/ML frameworks (Scikit-learn, TensorFlow, PyTorch).
You have strong understanding of statistics, probability, and applied mathematics.
You have proficiency in cloud-native AI/ML platforms and services (e.g., SageMaker, Bedrock, Vertex AI, Azure AI).
You have knowledge of data preparation, feature engineering, and model lifecycle management.
You have familiarity with SQL, data wrangling, and cloud-based data warehouses (Snowflake, Redshift, BigQuery, Synapse).
Bonus Points If:
You have a Master's or PhD in Data Science, Machine Learning, or related discipline.
You have at least 5 years of data science experience in financial services or regulated industries.
You have certifications such as AWS Certified Machine Learning - Specialty, Google Professional Data Scientist, or Microsoft AI Engineer.
You have experience building cloud-native AI solutions for fraud detection, credit risk scoring, and compliance monitoring.
You have experience with advanced deep learning architectures (transformers, reinforcement learning).
You have familiarity with distributed AI training frameworks (Horovod, Ray, DeepSpeed).
You have knowledge of streaming and real-time data processing in the cloud (Kafka, Pub/Sub, Kinesis).
You have understanding of AI observability tools, bias detection, and drift.
Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.
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.
Auto-ApplyLead Data Scientist, Strategic Analytics - Data Science
Data science internship job in Kansas City, MO
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.
The successful candidate will possess:
Recruiting for this role ends on December 14, 2025
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:
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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.
Principal Data Scientist
Data science internship job in Kansas City, KS
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
Easy Apply