Data Analyst
Data science internship job in Lake Mary, FL
Hybrid - Tues & Wed On-site in Lake Mary, FL
Brooksource is looking for a detail-oriented and dedicated individual to support our Specialty Pharmacy Distribution client and support their Customer Master domain. This person will be responsible for working with client accounts and updating/maintaining as needed.
Responsibilities:
Accurately enter and update customer data in the SAP system.
Maintain and manage customer master data, ensuring data integrity and consistency.
Verify and validate data entries for accuracy and completeness.
Collaborate with cross-functional teams to resolve data discrepancies and ensure timely updates.
Generate and analyze reports to identify and correct data issues.
Assist in the development and implementation of data entry procedures and guidelines.
Provide support for data migration and integration projects.
Ensure compliance with company policies and data management standards.
Qualifications:
High school diploma or equivalent; additional certification in data entry or related field is a plus.
Proven experience in data entry, preferably within the SAP environment.
Familiarity with Customer Master data management.
Strong attention to detail and accuracy.
Excellent organizational and time management skills.
Proficient in Microsoft Office Suite (Excel, Word, Outlook).
Ability to work independently and as part of a team.
Strong communication skills, both written and verbal.
Preferred Skills:
Experience with SAP modules related to Customer Master data.
Knowledge of data governance and data quality principles.
Ability to troubleshoot and resolve data-related issues.
Data Quality Analyst
Data science internship job in Orlando, FL
Sanford Rose JFSPartners is currently looking for a Data Quality Analyst for a full-time opportunity in Orlando. Qualified candidates will participate in the full data quality lifecycle from requirement gathering through ongoing support. The candidate selected for this role will develop technical components that meet the business/functional requirements or from logged data incidents.
RESPONSIBILITIES:
Develop technical specifications that demonstrate how data quality will be preserved/enforced.
Work with the BA team to generate data to power quality dashboards, which allow both data providers and data consumers to monitor data quality.
Contribute to business/technical definitions of data objects within the data catalogue.
Serve as an SME for multiple data domains. Assist business users in the selection, understanding and use of data.
Perform UAT on data sets as part of data ingestion, egress, transformation and rule execution.
REQUIRED TECHNICAL SKILLS:
Strong understanding of data structures, data types, and data transformation.
Ability to perform complex data mappings, workflows and sessions.
Experience with SQL, and other data transformation/analytics tools such as Informatica, Talend, or Alteryx.
Expertise in reading, analyzing and debugging SQL.
Experience or willingness to learn data profiling/quality tools such as Collibra, Ataccama, Informatica or OEDQ.
At Sanford Rose Associates - JFSPartners, we specialize in Finance & Accounting, Legal, and Information Technology recruitment, dedicated to helping professionals like you discover the perfect career opportunities. With a track record of assisting thousands of professionals nationwide, we are prepared to leverage our expertise on your behalf. Partnering with us means gaining access to serious candidates, minimizing hiring errors, and ensuring top-tier hires, all while navigating the hiring process with confidence. We understand the significance of finding the ideal role and aligning with an organization that shares your values.
AI Data Science Intern
Data science internship job in Orlando, FL
Leidos is seeking a university student to join our Orlando-based team as Software Development Interns supporting Internal Research and Development (IRAD) efforts. This internship offers an opportunity to contribute to exploratory projects in Artificial Intelligence (AI), data engineering, and advanced software development - all in support of Leidos' internal innovation and national security customer missions. We welcome applicants from a variety of academic backgrounds who have strong interest or experience in computing, data, or AI. This role emphasizes hands-on, applied research and prototyping in modern software and AI ecosystems.
Primary Responsibilities
* Contribute to IRAD projects involving Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs)
* Support the development of multimodal AI systems that combine visual, textual, geospatial, and sensor data
* Assist in designing data pipelines that transform structured and unstructured data into AI/ML-ready formats
* Prototype AI applications and perform experimental evaluations, including AI safety and reliability testing
* Collaborate with multidisciplinary teams on simulation, modeling, and decision support tools
* Document findings, write test code, and iterate based on feedback and research outcomes
Basic Qualifications
* Actively enrolled in an undergraduate or graduate program at the University of Central Florida
* U.S. citizenship and the ability to obtain and maintain a Secret security clearance
* Strong interest in or exposure to programming, AI/ML, or data science
* Familiarity with one or more modern programming languages (e.g., Python, Java, C++, JavaScript)
Preferred Qualifications
* Coursework, projects, or hands-on experience in areas such as:
* Artificial Intelligence or Machine Learning
* Computer Vision or Multimodal Models
* Natural Language Processing or Large Language Models
* Data engineering or data wrangling
* Familiarity with data labeling, data cleaning, or preparing training sets for AI
* Interest in AI safety, bias mitigation, or explainability
* Creative problem-solving skills and eagerness to work on exploratory, research-driven efforts
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
November 6, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $48,100.00 - $86,950.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Data Science Intern - Infrastructure (Summer 2026)
Data science internship job in Orlando, FL
Learning begins in the classroom but there's no better place to gain real-world experience than with Stantec. Interns are an integral part of our teams, working to solve some of the world's most complex challenges.
As an intern, you'll work alongside our experienced practitioners and with our clients and communities. This hands-on experience will equip you with practical skills, build your network, and provide opportunities that set you up for success.
Your Opportunity
We create the connections that get people and goods moving-whether by car, bus, train, plane, or their own two feet. Working within the context of the communities we serve, we provide planning, engineering, and infrastructure management services that fit the needs of our clients and improve the overall transportation experience.
Join our Transportation Business Line and Major Projects Team as a Data Science Intern in our Orlando, FL office and play a key role in driving industry research, market intelligence, and strategic insights to support business growth. This role provides a valuable opportunity to engage with digital tools and research methodologies that shape the transportation sector.
Your Key Responsibilities
Conduct in-depth market research on the Transportation Market in North America, identifying emerging trends, key players, and industry dynamics.
Analyze upcoming business pursuits, providing insights into potential projects and competitive positioning.
Investigate past wins and market trends to inform data-driven business strategies.
Research leading construction companies, examining their market presence, capabilities, and project involvement within the transportation industry.
Collaborate with internal teams to design and develop methodologies for data exploration (EDA), hypothesis testing, and modeling using advanced statistics, machine learning, and data analytics.
Support the digital transformation efforts in transportation by contributing to research and the development of innovative digital solutions.
Qualifications
Your Capabilities and Credentials
Strong analytical skills and ability to extract meaningful insights from complex datasets.
Excellent problem-solving, communication, and interpersonal skills.
Ability to independently manage multiple priorities and work within all levels of an organization.
Familiarity with Microsoft Office 365 Suite and an openness to developing low-code/no-code skill sets.
Passion for the transportation industry and willingness to explore innovative approaches to business research.
Education and Experience
Currently pursuing a degree in Data Science, Construction Management, Business Analytics, Transportation Engineering, Economics, or a related field.
This internship offers exposure to market research, business strategy, digital transformation, and data-driven decision-making within the transportation sector. Interns will work closely with innovation and strategy leaders, gaining practical experience in shaping business intelligence solutions.
This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee and other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice.
Stantec is a place where the best and brightest come to build on each other's talents, do exciting work, and make an impact on the world around us. Join us and redefine your personal best.
Auto-ApplyDATA SCIENCE INTERNSHIP
Data science internship job in Orlando, FL
Working Title: Internship Salary: To Be Determined by the Agency Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and Responsibilities:
The State of Florida is seeking motivated individuals to join our workforce. Our agencies are looking for bright, highly motivated college students and recent graduates to participate in a unique opportunity to gain experience firsthand in the operations of state government while obtaining valuable on-the-job training. As a data science intern, responsibilities may include the following:
* Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
* Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions.
* Assist with the maintenance, ongoing support, and reporting for automation across the agency.
* Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various sources.
* Support exploratory data analysis to uncover trends, patterns, and insights.
* Contribute to the improvement of data quality, data governance, and metadata standards.
* Conduct research on emerging tools, techniques, and technologies.
Applications are accepted year-round. Internships may be paid or unpaid and there is no guarantee of employment.
Knowledge, Skills, and Abilities:
* Knowledge of data analytics methodologies and tools.
* Ability to work independently as well as with others.
* Knowledge of data modeling, data mining and data cleansing techniques; and data analysis.
* Knowledge of automation and application of automation tools.
* Ability to prioritize tasks, meet deadlines, and manage time effectively.
* Knowledge of statistics & statistical modeling.
* Ability to collect, evaluate, and prioritize automation opportunities.
* Proven ability to work ethically and with integrity.
Minimum Qualifications:
* Must be currently enrolled or graduated within the last twelve months from an accredited college or university degree program.
* Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate data efficiently.
The State of Florida is an Equal Opportunity Employer/Affirmative Action Employer, and does not tolerate discrimination or violence in the workplace.
Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify the agency hiring authority and/or People First Service Center (***************. Notification to the hiring authority must be made in advance to allow sufficient time to provide the accommodation.
The State of Florida supports a Drug-Free workplace. All employees are subject to reasonable suspicion drug testing in accordance with Section 112.0455, F.S., Drug-Free Workplace Act.
Location:
Sr. Data Quality Analyst
Data science internship job in Orlando, FL
The responsibilities of the Sr. Data Quality Analyst include implementation and support of business rules within the data quality framework. This role will participate in the full data quality lifecycle from requirement elicitation through ongoing support. The candidate selected for this role will develop technical components that meet the business/functional requirements or from logged data incidents. The position plays a pivotal role in the definition of our data quality program, which includes policy, process, standards, and tools. The role demands an ability to understand the data semantics, business use and relationships.
ROLES AND RESPONSIBILITIES:
* Ability to translate business concerns into technical requirements/specifications
* Ability to elicit requirements both from business users as well as Data Incident Management. Ensure data issues detected in the past are not repeated in the future.
* Develop technical specifications that demonstrate how data quality will be preserved/enforced. Maintain as built documentation for the current as-built rules register.
* Build quality rules code base to monitor data flows and ensure acceptable levels of trust.
* Participate in Data Profiling POC evaluating product capabilities and make recommendations.
* Oversee the execution of data profiling both for the purpose of ensuring acceptable quality as part of ingestion but also to understand data shift over time. Adjust these two profiling processes as necessary to meet business objectives.
* Analyze Profiling and Rule results to ensure business requirements are being met. Fine tune configurations and rules to optimize both results and performance. Make design/process recommendations as needed.
* Triage data anomalies to determine root cause. Participate in solutioning sessions to determine anomaly resolution and address any data purity issues.
* Work with the BA team to generate data to power quality dashboards, which allow both data providers and data consumers to monitor data quality.
* Contribute to business/technical definitions of data objects within the data catalogue.
* Assist in the creation and maintenance of Data Lineage documentation.
* Serve as an SME for multiple data domains. Assist business users in the selection, understanding and use of data.
* Perform UAT on data sets as part of data ingestion, egress, transformation and rule execution.
* Ensure that all solutions, technical configurations and other work products are thoroughly unit-tested prior to delivery. Participate in system/integration testing as appropriate. Perform reviews and other QA steps as requested.
* Adhere to Darden SDLC, coding and data standards.
* Proactively identify data issues or process issues impacting data.
* Effectively communicate with stakeholders. Ensure issues are analyzed discussed and resolved in a timely manner.
* Consistently enhance skills and job knowledge by researching techniques, technologies and software products; reading professional publications.
* Provide for thorough and accurate Data Quality Tool administration to ensure the platform is properly managed.
REQUIRED TECHNICAL SKILLS:
* Strong understanding of data structures, data types, and data transformation.
* Ability to perform complex data mappings, workflows and sessions.
* Experience with SQL, and other data transformation/analytics tools such as Informatica, Talend, or Alteryx.
* Expertise in reading, analyzing and debugging SQL.
* Ability to troubleshoot data processing performance issue.
* Experience or willingness to learn data profiling/quality tools such as Collibra, Ataccama, Informatica or OEDQ.
* Experience or willingness to learn SparkSQL and Databricks.
* Good analytical, problem solving and debugging skills, with strong ability to quickly learn and comprehend business processes and problems in order to effectively analyze result set and triage quality issues.
* Work in multiple stages of the SDLC from development through production support.
* Expertise in working with spreadsheets, strong understanding of financial concepts and data.
* Ability to work independently, take ownership of tasks and follow through to implementation/resolution.
* Resolve end user data problems through collaboration with both technical and functional personnel in a team environment.
* Demonstrated competency in developing and testing complex rule sets.
* Exceptional verbal and written communications skills, with an ability to express complex technical concepts in business terms.
* Solid teamwork and interpersonal skills.
* Strong analytical, problem-solving and conceptual skills.
REQUIRED EDUCATION:
* Bachelor's degree in IT related discipline or equivalent experience (BS / BA in MIS, Computer Science, Business, Mathematics or Engineering)
OTHER KEY QUALIFICATIONS:
* Data modeling Experience
* Experience with Cloud Data Warehouse products such as Snowflake or Azure Synapse
* Experience using reporting tools like Power BI for Data quality visualizations
* Experience with Python, Scala or Java
* Knowledge of restaurant or retail business
PREFERRED SKILLS AND EXPERIENCE:
* 5+ years' experience across Business Intelligence/Data Warehouse/Data Lake projects
* 1+ years' experience on Data Quality and Governance initiatives, with at least one successful implementation
* Experience programming in SQL with ability to develop complex queries against large disparate data sets
* Experience with data integration patterns, data pipelines and tools such as Azure Data Factory
* Knowledge of Data and Delta Lake Structures
#LI-KP1
#LI-Hybrid
Testing, Quality, and Data Analyst
Data science internship job in Lake Mary, FL
At Axium Healthcare Pharmacy, Inc., we believe in a better quality of life for patients and their healthcare partners when treating and managing the most complex conditions. We believe in relationships that make life easier, and where a helping hand and better clinical, economical, and overall health outcomes are always within reach, 24 x 7 x 365. Our mission is simple. We aim to partner with and guide our patients to their best possible outcomes. Our longstanding vision is to help our patients and healthcare providers reach and create a better path to treating and managing complex conditions, making their lives easier and giving them hope for a healthier future. Specialty pharmacy is not a new concept. In fact, Axium did not invent specialty pharmacy. But, we did invent a better way to do it. We do it through a combination of clinical expertise, nationwide reach and the delivery of committed, caring, unmatched service and support for everyone, every time with no excuses. And, we've been doing it for years. We invite you to ask us what we can do for you. Our answer to you will almost always be: “Yes, we do.” Established in 2000 and based in Lake Mary, Florida, Axium is a nationwide clinical specialty pharmacy that makes life easier for those managing chronic disease and complex therapies by offering a helping hand and a better path to therapy management. We are licensed and permitted to operate in all 50 states and Puerto Rico, and specialize in providing patients, physicians, nurses, health plans, and other health care providers and partners with injectable and oral brand-name products. Our focus is to “Improve outcomes one relationship at a time,” and we achieve this through an experienced patient care team of doctors of pharmacy, registered nurses, reimbursement specialists, and dedicated patient care coordinators; all of whom deliver the highest level of comprehensive care and clinical support with every prescription.
Job Description
The Quality, Testing, and Data Analyst is responsible for executing quality and test related processes. This includes:
1) author test plans and test cases and perform test execution for trade feed and pharmacy system activities
2) reporting and data analyst for pharmacy systems 3) quality analyst
for pharmacy processes.
Essential Job Functions:
Develop,
implement and maintain quality and test procedures for trade feeds and pharmacy
system activities
Develop
and maintain test plan and test cases with associated test data based upon
functional and non-functional requirements.
Conduct
tests, document and analyze test results and present findings to development
teams. Provide guidance for test
execution to resource temporarily assigned to help in test effort.
Report
and document defects found during test cycles. Participate in defect
prioritization sessions.
Coordinate
information gathering for quality metrics.
Provide
test services for support activity and work with release management to assure
product release quality.
Create and run
reports using CPR+ Data Analytics as needed by the business
Utilize reporting
tools to monitor quality for pharmacy processes
Assist
Operations Manager as needed
Must be able to
perform the essential functions of this position with or without reasonable
accommodation.
Qualifications
Pharmacy workflow
experience
Ability to apply
knowledge of pharmacy workflow and business processes to test processes.
Understanding of
risk assessment and risk management procedures
Proven analytical
skills, root-cause analysis skills, problem-solving skills, decision-making
skills.
Proven conflict
resolution skills
Experience with testing
software
Test modeling and
writing skills
Communication and
presentation skills to effectively communicate information to customers and to
all levels within the organization.
Additional Information
OTHER SKILLS THAT APPLY:
Diplomacy
Professionalism
Filing
Organizing
Planning
Multi-tasking
Prioritizing
Proof Reading
Problem-Solving
Mail Merge
Reporting
Confidentiality
All your information will be kept confidential according to EEO guidelines.
Construction Management Data Analyst
Data science internship job in Orlando, FL
DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics.
Responsibilities
Strategic Partnership / Roadmap / Execution / Delivery
* Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals
* Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives
* Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive
* Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals.
* Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers.
* Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes.
Visualization / Storytelling:
* Work with stakeholders to understand and align on business requirements
* Create and maintain dashboards and Apps, as required
* Deliver actionable insights to improve business processes and drive strategic conversations
* Track and monitor usage metrics to understand and measure adoption/impact of analytics
* Complete Ad-Hoc Analysis as required
Troubleshoot Issues / Failures:
* Identify root source of data integrity issues (report, DFL, data warehouse, source system)
* Troubleshoot and solution data integrity issues in visualization tool
Data Modeling and ETL:
* Create complex data models in visualization tools, and make transformations as needed
* Query Data Warehouse using SQL to quickly analyze datasets
* Clean data, as required
* Identify potential new datasets to add to the Data Warehouse
* Identify potential new integrations between source systems and the Data Warehouse
* Work with Technical Analysts to build requirements for views in DBT and the data warehouse
Documentation
* Work with Data Engineering in the development and maintenance of the data catalog
* Create and maintain documentation of queries, transformations, and refreshes for reports
Security / Governance
* Follow, implement, and enhance data security and governance guidelines
* Create, maintain, and implement security for DFLs
* Review requests and grant access to DFLs, Reports, and Apps, as needed
* Create and maintain RLS in visualization tool, where needed
* Work with business stakeholders to understand and set security requirements, with regards to build access and view access
Change Management
* Complete impact analysis on reports when changes are made to source systems or tables upstream
* Identify, quantify, and communicate impacts to stakeholders and customers
Coordination / Collaboration / Prioritization
* Identify opportunities for data collaboration and integration between disciplines
* Coordinate alignment, as applicable, across other T&I groups
* Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery
* Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing
* Participate in Integrated Workgroup meetings to align support functions
Training / Data Literacy
* Train end-users on how to use and interpret information/insights on deployed dashboards/reports
* Train end-users on how to build reports themselves
* Provide "on-the-job' training to business stakeholders when needed
* Work with Data Engineering and others to develop and maintain tool for Self Service Analytics
* Increase data literacy of business stakeholders through targeted trainings and conversations
* Identify opportunities to improve data literacy throughout DPR
Data SME
* Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology
* Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users
* Ensure source of truth system(s) are identified and operational
Qualifications
* Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience.
* Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred.
* Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred.
* Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred.
* Passion for the use of data and business intelligence principles and their ability to optimize business outcomes.
* Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data.
* Proven analytic skills, including data mining, evaluation, analysis, and visualization.
* Ability to create data models and understand dependencies between source systems.
* Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows.
* Experience with consuming APIs from the client side including REST and GraphQL.
* Experience with SQL scripting required.
* Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making.
* Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed.
* Demonstrated success in building trusted relationships with internal/external clients and customers.
* A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments.
Applicants:
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package.
Pay Ranges based on DPR Office Locations:
Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332
Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198
Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398
Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598
DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.
Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.
Explore our open opportunities at ********************
Auto-ApplyData Analyst, Tableau Developer
Data science internship job in Orlando, FL
Salary: $70,000-$80,000
We are not offering C2C, this is a W2 Full time position.
About You:
This person will be adaptable, dynamic, and embody City Experiences' RESPECT Service System.
About the Opportunity:
The Analyst will play a crucial role in delivering marketing, sales, operational, and financial analytics. Acting as both a Tableau developer and business analyst, this role will be responsible for developing, managing, and maintaining KPI tracking and analytics across multiple business lines, brands, and shared service teams.
The ideal candidate will excel at bridging the gap between business and technology, effectively communicating insights to senior leadership. They will thrive in a dynamic environment, demonstrating adaptability and leadership while upholding the organization's RESPECT Service System values.
Essential Duties & Responsibilities:
Develop and deliver data analytics solutions to support business insights.
Design, maintain, and enhance Key Performance Indicators (KPIs) to track enterprise performance and health.
Create intuitive, easy-to-understand visualizations and summary views of data.
Lead the end-to-end development of standardized and interactive Tableau dashboards and reports, including intake, requirements gathering, wireframing, and build-out.
Collaborate with engineering and business teams to translate business needs into technical requirements and integrate with a centralized data mesh.
Collect, analyze, and document data from internal and external sources to generate actionable insights.
Support the training, adoption, and administration of Tableau within the organization.
Establish measurement specifications, data collection standards, schemas, benchmarks, and documentation.
Provide support for ad-hoc and recurring analytics requests.
Ensure data accuracy through audits and proactively resolve issues.
Transform data into compelling insights that drive strategic decision-making and KPI optimization.
Stay informed on best practices, trends, and innovations in data analytics.
Effectively manage multiple projects simultaneously in a fast-paced environment.
Requirements & Qualifications:
Education: Bachelor's or Master's degree in Computer Science, Analytics, Math, Statistics, or related field; or equivalent experience in data analytics.
Tableau Expertise: 1-2 years proven experience in developing, managing, and maintaining Tableau dashboards and analytics solutions.
Technical Skills: 1-2 years experience in SQL, R, and/or Python.
About Us:
Hornblower's passion is to provide amazing experiences on land and water. Our 40-year success through organic growth and acquisitions has resulted in a portfolio of over 25+ brands that welcome upwards of 30 million guests/riders annually. If you're an enthusiastic team player who thrives in an environment where communication, creativity, and cooperation are encouraged, this may just be the opportunity for you.
The RESPECT Service System embodies Hornblower's mission, vision, values and operating principles. By creating a company culture that puts RESPECT at its core, we believe it will drive us to achieve our goal of becoming a Global Experiences and Transportation Leader.
EEO / Disabled / Protected Veteran Employer. Hornblower is proud to be an Equal Employment Opportunity employer. We offer equal employment opportunities to all qualified individuals and prohibit discrimination and/or harassment of any type, including but not limited to discrimination and or harassment based upon race, religion, religious creed, color, national origin, ancestry, citizenship, sex, sexual orientation, gender, gender identity, gender expression, age, pregnancy or relation medical conditions, childbirth, breastfeeding, parental status, veteran and/or military status, disability (physical or mental), medical condition, genetic information or characteristics, political affiliation, domestic violence survivor status, marital status, or other characteristics prohibited by federal, state, or local law. Additionally, as a federal, state, and local contractor, Hornblower complies with government regulations, including affirmative action responsibilities for qualified individuals, where and as they apply. The company also participates in the E-Verify program in certain locations.
Data Analyst - CRM
Data science internship job in Orlando, FL
Expert SQL skills required to leverage and analyze CRM data to improve guest experiences across all channels, while ensuring data accuracy is accounted for when including the data from the various integrated systems.
Accountable for gathering, architecting and analyzing data to derive specific insights that augment our online, email, social, and in restaurant marketing initiatives.
Partner with Leaders, Strategists, and Campaign Team to provide actionable (i.e. Campaign Analysis, Customer Segmentation, Demographic Profiling, Localize Marketing)
Create relevant & actionable dashboards, reports and ad hoc analyses to drive visual insights to derive strategic decisions and enabling actionable marketing efforts across the company.
Depth and experience in various reporting/visualization tools
Develop deep knowledge of data, including cross-channel analysis from multiple data platforms and staying abreast of industry trends and best practices.
Analyst, Data Engineering
Data science internship job in Orlando, FL
The Data Engineer will partner with a wide range of business teams to implement analytical and data solutions that drive business value and customer satisfaction. He or She will be responsible for collecting, storing, processing, analyzing, modeling large sets of data and building applications and solutions using data. The primary focus will be on building, maintaining, implementing, monitoring, supporting and integrating analytical and data solutions with the architecture used across the company.
How You'll Shine:
Maintain and monitor our analytics data warehouses and data platform.
Design, Implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates.
Responsible for hands-on development, deployment, maintenance and support of variety of Cloud and on-premise Solutions, web service infrastructure and supporting technologies.
Produce scalable, replicable code and engineering solutions that help automate repetitive data management tasks.
Works closely with project managers, business analysts, data scientists and other groups in the organization to understand and translate functional requirements and processes into technical specifications.
Collaborate with key stakeholders to make sure our data infrastructure meets our business needs in a scalable way.
Keep a critical eye on our technical strategy, identify gaps, and come up with creative solutions.
Bachelor's degree in computer and information science required
Master's degree preferred.
Snowflake and Python certification preferred but not required
Excellent listening, interpersonal, communication (written & verbal) and problem-solving skills.
Ability to collect and compile relevant data
Extremely organized with great attention to detail
Excellent ability to analyze information and think systematically
Strong business analysis skills
A strong team player with some ability to work independently
Good understanding of the company's business processes and the industry at large
Good working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing data pipelines and data sets leveraging various scripting languages or ETL tools.
Ability to perform root cause analysis on internal and external data processes to answer specific business questions and identify opportunities for improvement.
Good analytic skills related to working with unstructured datasets.
Ability to build and use APIs to push and pull data from various data systems and platforms.
Build processes supporting data extraction, transformation, and loading of data into data structures.
A successful history of manipulating, processing and extracting value from large, disconnected datasets.
Ability to build data models and manage data warehouses
3 years of related data engineering/IT experience
1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python and AWS architecture.
1+ years of proven experience in Microsoft .Net technologies such as C#, VB.Net and experience in designing, developing and deploying Windows & Web applications
2+ years of experience in data modeling/database development using PL/SQL and SQL Server 2016 or later and Snowflake
1+ years of proven experience building data pipelines and ETL flows in Cloud and on-premise environments using Snowpipe, Informatica, Airflow, Kafka etc.
Experience equivalent to the education requirement may be accepted in lieu of the education requirement.
Data Scientist
Data science internship job in Orlando, FL
We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place.
Job Description
Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Qualifications
Qualifications
· Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
· At least 2 years' of experience in quantitative analytics or data modeling
· Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
· Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have.
· Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks)
Additional Information
Responsibilities
· Analyze raw data: assessing quality, cleansing, structuring for downstream processing
· Design accurate and scalable prediction algorithms
· Collaborate with engineering team to bring analytical prototypes to production
· Generate actionable insights for business improvements
tion will be kept confidential according to EEO guidelines.
Support Staff-Data Quality Analyst-Lead
Data science internship job in Kissimmee, FL
This position is responsible for maintaining the student files for the School District and DOE State files. This includes researching, documenting, and modifying the student files through the Student Records System. This position requires accuracy, proficiency and a large degree of responsibility relying on the individual's ability and experience.
Required qualifications, skills and experience
High School Diploma or equivalent.
Two (2) years as Systems Trainer/Data Quality Analyst or equivalent position experience.
Must have knowledge of databases and ability to operate optical scanners.
EEO statement
The School District of Osceola County, Florida, does not discriminate in treatment or employment in its programs on the basis of race, color, national origin, gender, age, disability, marital status or genetic information in its educational programs and employment practices.
Data Governance Analyst - Orlando, FL
Data science internship job in Orlando, FL
Bachelor's degree Information Systems, Business Administration, or Similar
Master's degree in information systems, Business Administration, or Similar
5+ years of experience in a combination of data management and data governance roles
3+ years of experience in implementing data governance in a business environment
Certified Data Management Professional (CDMP)
Surveillance Data Analyst
Data science internship job in Winter Park, FL
Connecting clients to markets - and talent to opportunity. With 4,500+ employees and over 300,000 commercial, institutional, payments, and retail clients, we operate from more than 70 offices spread across six continents. As a Fortune 100, Nasdaq-listed provider, we connect clients to the global markets - focusing on innovation, human connection, and providing world-class products and services to all types of investors.
Whether you want to forge a career connecting our retail clients to potential trading opportunities, or ingrain yourself in the world of institutional investing, StoneX Group is made up of four business segments that offer endless potential for progression and growth.
Immerse yourself in the best-in-class institutional-grade technology, working alongside industry experts and gaining exposure to various asset classes, such as equities, options, fixed income securities, and advanced trading, research, and management technology.
The Broker-Dealer is seeking a Surveillance Data Analyst with experience in the financial and trading industry, strong technical and analytical skills, and a results-driven approach. The role involves collecting, transforming, and analyzing trade and related data to support surveillance, compliance, and audits. As part of the Trade Desk Surveillance (TDS) team, you'll help identify regulatory risks, increase efficiency, and optimize processes for scalability.
Responsibilities
Primary duties will include:
Drive innovation in working closely with TDS and cross-functional teams to align priorities, gather requirements, and deliver data-driven solutions that support departmental and Firm-wide goals.
Collect, analyze, and prepare trade-related data from multiple systems to research exceptions, support reviews, and respond to inquiries or audits.
Become proficient in surveillance, trading, and reporting systems, as well as other company-supported tools, to analyze workflows and identify opportunities to improve.
Build an understanding of the Firm's regulatory requirements to strengthen the TDS program and help cross-functional teams in preparing and reviewing large data sets.
Develop and maintain scalable, data-driven workflow automations to deliver timely and actionable insights; troubleshoot and optimize to increase accuracy and minimize manual effort.
Use SQL to create and execute database queries and assist in building new databases.
Create and maintain clear procedural documentation and a knowledge base of solutions, utilizing Jira to support production development, issue resolution, and business continuity.
Perform routine testing and reconciliation of regulatory reporting data in conjunction with TDS, Trading, Compliance, and external vendors.
Train and support interns and team members on data analysis and automated workflows.
Assist TDS across asset classes and multiple systems by investigating exceptions and escalating issues when necessary
Apply technical and analytical skills to solve problems and execute ad hoc tasks.
Duties and responsibilities may be expanded or adjusted as needed to meet management directives and organizational requirements.
This list of duties and responsibilities is not intended to be all-inclusive and can be expanded to include other duties or responsibilities that management deems necessary.
Qualifications
To land this role you will need:
1-3 years demonstrated proficiency in Excel, SQL, Python (or similar programming language), including experience with data processing, visualization, and analysis to support decision making.
Understanding of server-based systems and JSON/CSV data structures.
Skilled in executing queries to extract and analyze from large, complex datasets.
Proficient in Microsoft suite including SQL Server, Excel, Power BI, Teams, Outlook.
Self-starter with ownership mentality, creativity, and strong troubleshooting skills to resolve complex/nuanced issues and deliver results.
Detail-oriented with strong organizational and time management skills; adaptable to change and capable of managing multiple priorities.
Excellent communication skills, with ability to address both technical and non-technical audiences.
Education / Certification Requirements:
Bachelor's degree and/or equivalent experience in finance, computer science, or related fields.
SIE exam, or willingness to take the exam within the first 6 months of employment.
What makes you stand out:
Knowledge of financial markets, trading, surveillance, compliance, or FINRA/SEC regulation.
Understanding of FINRA CAT and other trading related data (FIX, TRACE, RTRS, TRF/ORF).
Experience with trading-related systems (S3, OneTick, Fidessa, TRAFiX, FIS, etc.)
Experience with scripting or automation tools like VBA, Visual Studio Code, Jupyter-Notebook, JAMS, PowerShell, UiPath, or Git.
Experience with project development apps like Confluence & Jira.
Knowledge of managed secure file transfer (SFTP) processes.
Familiarity with AI/LLM applications for analysis and automation.
Hiring Salary Range $70,000 - $90,000 (Salary to be determined by the education, experience, knowledge, skills and abilities of the applicant, internal equity and alignment with market data.) Subject to business performance and recommendations of management, this role may be eligible to participate in an incentive compensation plan. This compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position, is offered.
#LI-SD1
Auto-ApplyData Scientist--------Need GC and USC
Data science internship job in Orlando, FL
USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers.
Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services.
Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps.
USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.
Job Description
Data Scientist.
Orlando, FL
Full Time Position
Need GC and USC
This person will be responsible for conducting analyses of complex and varied healthcare and other data to demonstrate the value of new technology implementations and process improvements to create business insights that drive decision-making. Uses descriptive and inferential statistics, data mining, predictive modeling and machine learning techniques to develop insights that will optimize cost and patient outcomes.
Top 3 skills:
Proficient in analytical and programming skills including SQL, Advanced Excel and SPSS or R.
Background in Statistics/applied research
2+ years' experience working in a healthcare environment
Masters or PhD (preferred PhD)
Additional Information
If you are interested please share your resume to preethib@usmsystems(dot)com or can directly call me on ************
Data Analyst Manager
Data science internship job in Orlando, FL
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**
Data Scientist
Data science internship job in Orlando, FL
We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Qualifications
Qualifications
· Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
· At least 2 years' of experience in quantitative analytics or data modeling
· Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
· Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have.
· Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks)
Additional Information
Responsibilities
· Analyze raw data: assessing quality, cleansing, structuring for downstream processing
· Design accurate and scalable prediction algorithms
· Collaborate with engineering team to bring analytical prototypes to production
· Generate actionable insights for business improvements
tion will be kept confidential according to EEO guidelines.
Data Scientist- Manager
Data science internship job in Orlando, FL
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Data Scientist to join our Audit Technology Alliance organization.
Responsibilities:
* Develop sophisticated generative AI solutions; provide technical guidance to a team of data scientists
* Guide the end-to-end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization
* Collaborate closely with product managers, audit subject matter experts, and engineering teams to translate complex business requirements into scalable and reliable technical solutions
* Champion a culture of quality and innovation within engineering teams; identify opportunities to continually improve solutions
* Drive quality SDLC processes with AI engineering teams; deliver solutions on time to meet business cycle timelines
* Champion and enhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMG's standards for quality
* Provide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis
* Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
* Minimum five years of recent experience in data science or a related machine learning field with a proven track record of delivering AI solutions into production environments
* PhD or Master's degree from an accredited college or university in computer science, statistics, mathematics, or a related quantitative discipline is required
* Hands-on expertise with generative AI including extensive experience with LLMs (for example, Azure OpenAI, Google Cloud), RAG pipelines, and AI frameworks such as LangChain/LangGraph or Semantic Kernel
* Proficient in Python and its data science ecosystem; experienced in building solutions on data platforms like Databricks or Microsoft Fabric and search technologies like Azure AI Search
* Solid understanding of the software development lifecycle (SDLC) in an agile environment; experienced with version control tools like Git and CI/CD tools within Azure DevOps
* Exceptional analytical skills; able to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders
KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.
Follow this link to obtain salary ranges by city outside of CA:
**********************************************************************
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pricing Analyst Intern - Summer 2026
Data science internship job in Orlando, FL
About Oshkosh AeroTech, an Oshkosh company
Oshkosh AeroTech is a leading provider of aviation ground support products, gate equipment and airport services to commercial airlines, airports, air-freight carriers, ground handling and military customers. Oshkosh AeroTech offers products that make a difference in people's lives by supporting those in our communities who do some of the toughest work. They own many of the most trusted brands in the air transportation industry, including LEKTRO , JetAire , JetPower , AmpTekÔ, Jetway , and more.
The Pricing Analys Intern is responsible for collecting, analyzing, and transferring data from the legacy system to a standard product quote configurator. This is a paid internship - 40 hours per week for 8 - 10 weeks in an office environment; this is not a remote position.
YOUR IMPACT
Collaborate with internal stakeholders to consolidate existing multi-product quote templates
Develop standard product quote configurator to enable accurate and efficient quoting process
Identify data needs, collect, analyze, and interpret data to support global pricing initiatives
Leverage market and data trends to develop and maintain global product pricing structure and pricing models
Develop and maintain relationships and partnerships across internal customers, stakeholders, and peers to ensure customer needs are being met and team objectives are being accomplished
Other projects and responsibilities may be added at the company's discretion
QUALIFICATIONS
US Citizenship is required due to government contracts
Enrolled in an accredited undergraduate program (preferably Junior or Senior), in the following fields of study: Business, Finance, or a technical field of study
Experience collecting, preparing, interpreting, and reporting data
Experience with basic financial statements desired (
but not required
)
Advanced proficiency with MS Excel
Ability to work productively and cohesively in a diverse and multicultural environment
Pay Range:
$18.00 - $37.00
The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.
Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at ******************************************.
Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.
Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.
Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.
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