Data Analyst
Data science internship job in Phoenix, AZ
Full Time
Hybrid- 3 Days a week on site
About Us:
Join us at Mi-Case, where we're at the forefront of developing innovative public safety products and solutions. We take pride in delivering fully-integrated software and exceptional client support, making a real impact in communities. As part of our team, you'll collaborate with passionate, talented colleagues and industry experts who are deeply committed to solving the unique challenges faced by our clients in the public safety sector. Together, we're replacing outdated systems with cutting-edge, mobile-ready solutions that empower our clients to enhance public safety and achieve their goals.
Job Description:
We are seeking a skilled Data Analyst to analyze legacy data sources and Mi-Case data requirements, and to develop detailed data mapping specifications. In this role, strong communication skills are essential for effectively conveying data requirements, identifying source data locations, and defining conversion rules. Proficiency in SQL and data analysis is required, as well as the ability to query data and provide thorough analysis.
As a detail-oriented professional, you will be responsible for documenting element level data conversion specifications and communicating progress and requirements clearly to key stakeholders, including the Project Manager, client system Subject Matter Experts, application developers, data engineers, and quality analysts. You will focus on gathering, analyzing, and mapping data for migration purposes, ensuring data quality and integrity throughout the process. Your contributions will be vital to the successful transition of data from legacy systems to new platforms.
Role:
Collaborate with Mi-Case Application Developers, Legacy System Subject Matter Experts (SMEs), and stakeholders to gather, document, and analyze data migration requirements.
Analyze and map data structures from legacy systems to target platforms, making certain that data mapping specifications and transformation rules are precise.
Document the steps for data transformation, cleansing, and validation to uphold high standards of data quality and integrity.
Track migration requirements, mapping rules, and progress through tools like DevOps, keeping stakeholders fully informed.
Serve as the main point of contact for clients regarding data migration queries, delivering clear and consistent communication to manage expectations and keep the process aligned.
Log migration errors and any records that weren't transferred, and investigate these issues to resolve them for future migration runs.
Offer ongoing support to Project Managers, SMEs, developers, data engineers, and quality analysts by regularly communicating migration progress, updates, and troubleshooting any issues that arise.
Minimum Years of Experience:
7 Years
Education and skills:
Experience: 4+ years of experience in data analysis or a related field, with a focus on data migration projects.
Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience with data analysis, mapping, and transformation processes.
Proficient in SQL and database querying for data extraction and validation.
Excellent communication skills and ability to work collaboratively with cross-functional teams.
Detail-oriented with a strong commitment to data quality.
Strong analytical and problem-solving skills.
Experience with data migration tools and methodologies (preferred).
Department of Corrections Technologies- ( Offender Management System )
Nice to Have:
Knowledge of data governance and compliance best practices.
Familiarity with ETL tools.
Data Scientist
Data science internship job in Phoenix, AZ
We are seeking a Data Scientist to support advanced analytics and machine learning initiatives across the organization. This role involves working with large, complex datasets to uncover insights, validate data integrity, and build predictive models. A key focus will be developing and refining machine learning models that leverage sales and operational data to optimize pricing strategies at the store level.
Day-to-Day Responsibilities
Compare and validate numbers across multiple data systems
Investigate discrepancies and understand how metrics are derived
Perform data science and data analysis tasks
Build and maintain AI/ML models using Python
Interpret model results, fine-tune algorithms, and iterate based on findings
Validate and reconcile data from different sources to ensure accuracy
Work with sales and production data to produce item-level pricing recommendations
Support ongoing development of a new data warehouse and create queries as needed
Review Power BI dashboards (Power BI expertise not required)
Contribute to both ML-focused work and general data science responsibilities
Improve and refine an existing ML pricing model already in production
Qualifications
Strong proficiency with MS SQL Server
Experience creating and deploying machine learning models in Python
Ability to interpret, evaluate, and fine-tune model outputs
Experience validating and reconciling data across systems
Strong foundation in machine learning, data modeling, and backend data operations
Familiarity with querying and working with evolving data environments
Data Scientist
Data science internship job in Phoenix, AZ
** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole.
We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands.
We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.
Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.
**Job Description**
ESSENTIAL DUTIES AND RESPONSIBILITIES
+ **Business Partnership & Consulting**
+ Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions.
+ Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience.
+ Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities.
+ Experience advising, presenting to, and serving as a thought partner to senior executives.
+ **Analytics & Insights**
+ Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance).
+ Translate complex data into clear, actionable insights with strong storytelling and visualization.
+ Deliver executive-ready materials that connect people data to business outcomes.
+ Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights.
+ **Advanced People Analytics**
+ Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities.
+ Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities.
+ Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights.
+ **Strategy & Enablement**
+ Guide stakeholders in building a data-driven culture within HR and across the business.
+ Drive adoption of self-service analytics platforms and democratize access to people insights.
**Qualifications**
REQUIRED
+ **Education & Experience**
+ Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field.
+ 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields.
SKILLS
+ **Technical Skills**
+ Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier).
+ Advanced Excel, SQL, or Python/R for data analysis preferred.
+ Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures.
+ **Business & Consulting Skills**
+ Exceptional ability to translate data into business insights and recommendations.
+ Strong stakeholder management, influencing, and storytelling skills.
+ Experience in partnering with senior leaders to drive data-informed decisions
**Additional Information**
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** .
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
\#LI- VV1
**Compensation & Benefits Details**
+ An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
+ The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
+ If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
+ You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards.
+ We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan.
+ **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
**Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .
Data Science Intern - Summer 2026
Data science internship job in Glendale, AZ
External candidates: In order for your application to be correctly processed please sign-in before you apply
Internal candidates: Please go to Workday and click "Find Jobs" link under Career
Thank you for considering opportunities with us!
Job Title
Data Science Intern - Summer 2026
Requisition Number
R7429 Data Science Intern - Summer 2026 (Open)
Location
Glendale, Arizona
Additional Locations
Arizona - Home Teleworkers
Job Information
CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the top personal lines property and casualty insurance groups in the U.S. Our employees form the heart and soul of fulfilling our enduring purpose to help members prevent, prepare for and recover from life's uncertainties, and we're proud of the culture we create together. As we commit to progress over perfection, we recognize that every day is an opportunity to be innovative and adaptable. At CSAA IG, we hire good people for a brighter tomorrow. Join us and support CSAA Insurance Group, a AAA Insurer, in achieving our goals.
Internship Summary: We are actively hiring for a Data Science Intern! This summer, we are looking for motivated individuals looking to begin a career in our Data Science department to support our Research team. As an intern you will work with our data science team on innovation projects focused on artificial intelligence and machine learning.
CSAA Internship Program: As an intern, you will participate in an 11-week summer internship experience with an emphasis on hands-on learning and real-world immersion into our business. Our interns participate in professional development and job-specific training and plenty of networking opportunities to gain deep understanding of their role and department while also broadening their knowledge of CSAA's business. We offer an Intern Innovation Challenge, executive meet and greets, community service opportunities, and social bonding activities to help you stay connected.
Internship Details: The anticipated dates of our 2026 summer internship will be May 26-August 7. This role can be remote or hybrid based out of our Glendale, AZ office. The anticipated hourly rate for this role is $39.00.
Essential responsibilities
Collaborate with our data science team and business leads to pursue research in areas of high business impact.
Drive CSAA's knowledge of our customers through research projects from data collection to model development.
Provide recommendation based on well-documented, reproducible analysis from large datasets.
Work on a capstone project and present findings to senior management
Ideal Qualifications
Current graduate student pursuing a quantitative or analytically focused degree, ideally graduating December 2026 or later.
Interested to begin a career with a focus on data or statistical analysis.
Familiar with manipulating raw data with Python.
Creative problem solver with a strong interest in machine learning.
High-energy, high-impact individual who can provide statistical insights with data
Self-motivated and results-oriented professional with strong written and verbal communication skills.
Able to influence and effectively manage multiple projects while communicating effectively in front of others
Enthusiastic to learn new concepts and committed to self-development
Has a keen analytical mind with a sharp eye for details
Must have authorization to work indefinitely in the US.
CSAA IG Careers
As part of our values, we are committed to supporting inclusion and diversity at CSAA IG. We actively celebrate colleagues' different abilities, sexual orientation, ethnicity, and gender. Everyone is welcome and supported in their development at all stages in their journey with us.
We are always recruiting, retaining, and promoting a diverse mix of colleagues who are representative of the diversity in the U.S. workforce. This diversity gives us a great opportunity to have access to a broad range of ideas and allows us to give you the wide mix of products you know and expect from CSAA.
At CSAA IG, we're proudly devoted to protecting our customers, our employees, our communities, and the world at large. We are on a climate journey to continue to do better for our people, our business, and our planet. Taking bold action and leading by example. We are citizens for a changing world, and we continually change to meet it.
Let's Work Together
Submit your application to be considered. We communicate via email, so check your inbox and/or your spam folder to ensure you don't miss important updates from us. If reasonable accommodation is needed to participate in the job application or interview process, please contact **************************. CSAA Insurance Group is an equal opportunity employer.
Recognition
We offer 401(k) Plan with a company match, employee rewards and recognition, paid time off and holidays, product discounts, and much more. Please note that this role does not offer a performance bonus.
.
Auto-ApplyUSGA Boatwright Membership and Data Analytics Intern
Data science internship job in Phoenix, AZ
Job PurposeThe PJ Boatwright Internship was created by the United States Golf Association to provide an opportunity and education to individuals interested in seeking a career in golf administration. The internship is 6 months, and the intern will have an opportunity to work with all departments as part of the internship.
AZ GOLF is seeking a motivated and detail-oriented Data and Technology Intern to support our data-driven initiatives and technology solutions. This internship offers hands-on experience with member data, CRM management, event support, and technology-driven marketing and engagement efforts. The ideal candidate is analytical, tech-savvy, and eager to contribute to enhancing member experiences and supporting organizational growth.
Duties and ResponsibilitiesData Analytics
o Utilize Hubspot Data and Member Behaviors to analyze trends, provide heat mapping, and reporting that will help to guide decision making.o Collaborate with cross-functional teams to identify opportunities for technology and process improvements.
Database Enrichmento Utilize Hubspot tools to enrich member profiles to provide more accurate segmentation of the membership.
Automations
o Work with Member Services & Marketing & Communications teams to build/rebuild Hubspot Workflows to engage specific target markets (i.e. Members without an established Handicap Index).
Member Outreach & Engagement Events
o Provide preliminary support, onsite activation, and post-event follow-up for member services outreach and engagement events.
Department Support
o Assist other departments and learn other aspects of the business
o USGA Services: World Handicap System, assist course rating teams and data input for course and slope ratingso Marketing and Communications: Assist with website integrationo Stakeholder Relations: Update membership and course directory
Skills and Qualifications
· Golf knowledge and background preferred.
· Education or Experience with technology preferred
· Experience with CRM platforms, mainly HubSpot, preferred.
· Experience with data analysis and strategy preferred.
· Experience with Microsoft Office is required.
· Live in Phoenix Metro local area throughout the duration of internship.
· Strong attention to detail and ability to work in team environment.
Working Conditions
· This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
· Valid driver's license required. Willingness to travel and ability to drive company vehicles to tournaments.
· Willingness and ability to work early mornings and weekends and work 40+ hours per week as required.
· Must be able to lift 40 pounds and use tools needed to setup tent
Computer Science / Data Science Intern
Data science internship job in Goodyear, AZ
Job Description
Computer Science / Data Science Intern - Manufacturing Systems & Analytics
Schedule: 20-40 hours per week Employment Type: Internship / Co-Op (Paid)
About GTI Fabrication
GTI Fabrication is investing heavily in manufacturing systems, data visibility, and operational analytics. This role supports the intersection of software, data, and manufacturing operations.
Role Overview
The Computer Science / Data Science Intern will support manufacturing analytics, systems integration, and reporting initiatives. This role works closely with operations, engineering, and business systems teams to turn raw production data into actionable insights.
Key Responsibilities
Support development of dashboards and reports for production, quality, and inventory metrics
Assist with data extraction, cleaning, and analysis from ERP/MES systems
Help automate manual reporting processes using scripts or tools
Support basic SQL queries and data modeling efforts
Participate in manufacturing systems improvement projects
Document system workflows and data definitions
Collaborate with engineering and operations teams to understand real-world data needs
Qualifications
Currently pursuing a degree in Computer Science, Data Science, Information Systems, or related field
Able to work at least 20 hours per week
Working knowledge of Python, SQL, or similar programming languages
Strong analytical and problem-solving skills
Interest in manufacturing systems, analytics, or industrial technology
Experience with Power BI, Tableau, or similar tools is a plus
What You'll Gain
Real-world experience applying software and data skills in manufacturing
Exposure to ERP, MES, and operational data systems
Hands-on analytics projects tied to production outcomes
Mentorship from systems and operations leaders
Data Scientist (Technical Leadership)
Data science internship job in Phoenix, AZ
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
13. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
15. Masters or Ph.D. Degree in a quantitative field
16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
17. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Analyst
Data science internship job in Phoenix, AZ
Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs.
Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance.
Job Description
Tasks and responsibilities:
• Function point analysis. Functional side of a technical requirement. Gather information from technical teams…put data together - Really understand what the delivery teams are doing Documentation is correct.
• Performs data analytics on various processes and projects to measure post-implementation performance.
• Coordination, scheduling and facilitation of kick-off, validation and follow-up meetings.
• Gathering of project documentation from SDLC Document Repository and user stories from Rally.
• Extraction of quantitative project data for analysis of project level performance.
• Preparation of reporting for review with Product Teams and ad hoc data requests.
Preferred Additional Skills:
• Proficient in MS Access and SQL Server
• Strong financial acumen.
Qualifications
Required Skills:
• Familiarity with SDLC documentation, process and tools.
• Knowledge of project management methodologies (Waterfall and Agile)
• Ability to analyze large populations of data, deciphers common themes, trends and outliers, and transform in to meaningful, actionable output.
• Confident communicator.
• Excellent analytical and problem solving skills.
• Advanced MS Excel and MS PowerPoint skills
• Bachelor's Degree in Computer Science, Information Systems, Business Administration, or other related field. Or equivalent work experience
• 3 to 5 years of relevant technical or business work experience.
Additional Information
To know more on this position or to schedule an interview, please contact:
Vishwas Jaggi
************
Data Scientist, NLP
Data science internship job in Phoenix, AZ
Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care.
By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.
We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data.
You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale.
This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to:
+ Design and develop models to extract entities, detect intents, and understand document structure
+ Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs
+ Evaluate model performance where ground truth is partial, uncertain, or evolving
+ Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions
We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out.
**Qualifications**
+ 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models.
+ Proficiency with Python
+ Experience with the latest in language models (transformers, LLMs, etc.)
+ Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
+ Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow
+ Industry experience shepherding ML/AI projects from ideation to delivery
+ Demonstrated ability to influence company KPIs with AI
+ Demonstrated ability to navigate ambiguity
**Bonus Experience**
+ Experience with document layout analysis (using vision, NLP, or both).
+ Experience with Spark/PySpark
+ Experience with Databricks
+ Experience in the healthcare industry
**Responsibilities**
+ Play a key role in the success of our products by developing models for document understanding tasks.
+ Perform error analysis, data cleaning, and other related tasks to improve models.
+ Collaborate with your team by making recommendations for the development roadmap of a capability.
+ Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
+ Understand product use-cases and define key performance metrics for models according to business requirements.
+ Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).
**After 3 Months, You Will...**
+ Have a strong grasp of technologies upon which our platform is built.
+ Be fully integrated into ongoing model development efforts with your team.
**After 1 Year, You Will...**
+ Be independent in reading literature and doing research to develop models for new and existing products.
+ Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed.
+ Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations.
\#LI-BC1
We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.
The estimated total cash compensation range for this role is:
$136,000-$170,000 USD
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis.
For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .
M612-Data Analyst 5681.
Data science internship job in Phoenix, AZ
Job Description
is hybrid in Phoenix, AZ - with some time spent in office for meetings.
In Person interview is required.
Our direct client has an opening for a Data Analyst 5681.
is up to 12 months with the option of extension. The client is in Phoenix, AZ.
Please send us your rate and resume.
50% - Develop test plans/scenarios/cases/scripts to ensure appropriate test coverage. Provide direction to developers to implement solutions per requirements. Execute testing based upon documented test cases/scripts and ensure applications tested meet customer defined business requirements per documented user acceptance criteria. Conduct user acceptance testing with end users to ensure implemented solution meets expectations. Document and track software defects as well as issues with performance and usability.
30% - Identify, evaluate, and document business needs and objectives, operational processes and procedures, problems and requirements. Understand the business case, and gaps in documented business process (as is vs. to be). Perform requirements elicitation/documentation/management, as well as use case documentation (standard, alternate, and error) to assist developers in creation of solutions to meet business objectives. Leverage understanding to document meaningful user acceptance criteria for user stories. Capable of facilitating communication between stakeholders from all levels of the organization while objectively identifying and resolving conflict.
20% - Identify and document processes and procedures related to Business Analysis and Quality Assurance standards, including opportunities for improvement.
Identify candidates for test automation, document test flow and data requirements/dependencies, and implement using approved tools.
Required Skills
• Windows Server Experience
• SDLC - Agile (Scrum, Kanban) Experience
• Intermediate Visual Studio/TFS/VSTS Experience
• Intermediate VSTS Experience
• Intermediate STLC Experience
• Intermediate .Net Applications, ETL Experience
• Intermediate SQL Server 2008 R2 & 2016 Experience
• SSIS/SSRS Experience
• Backend database testing to include: tables/views
• Intermediate MS Office (Word, Excel, PowerPoint, Access) Experience
Nice-To-Have Skills
• Backend database testing to include: indexes, triggers, stored procedures, packages
• Experience with API testing
• Experience with Automated testing
Construction Cost Data Analyst
Data science internship job in Phoenix, AZ
** Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries. Working with our clients across real estate, infrastructure, energy and natural resources, we transform together delivering outcomes that improve people's lives. Working in partnership makes it possible to deliver the world's most impactful projects and programs as we turn challenge into opportunity and complexity into success.
Our capabilities include program, project, cost, asset and commercial management, controls and performance, procurement and supply chain, net zero and digital solutions.
We are majority-owned by CBRE Group, Inc., the world's largest commercial real estate services and investment firm, with our partners holding a significant minority interest. Turner & Townsend and CBRE work together to provide clients with the premier program, project and cost management offering in markets around the world.
**Job Description**
**Turner & Townsend** are engaged to support our client with many complex projects, and we are seeking the ideal **Construction Cost Data Analyst** responsible for data management, analytics and dashboard reporting development for our technology client's Global Data Center Portfolio. As part of this role, you may also be required to perform cost management duties for related projects.
**Responsibilities:**
+ Analyze cost trends, issues and opportunities for a global data center portfolio. Projects are across various regions, in different construction stages and ranging from small colocation fit-out to large hyperscale lease.
+ You will likely perform a variety of analyses such as benchmarking, trend identification, growth forecasting to add value to problem-solving discussions.
+ Provide insights and/or recommendations based on analysis to facilitate internal initiatives.
+ Ability to present analysis findings in a clear concise and professional manner.
+ Identify ways to improve and streamline processes with the use of software tools and/or automation.
+ Review contractor and subcontractor pricing against benchmarks, including identifying and negotiating outliers.
+ Develop and maintain project cashflow forecasts and accruals on a monthly basis.
+ Analyze project budgets against program-wide benchmarks and ongoing cost trends.
+ If necessary, provide recommendations to the client on project funding needs based on those benchmarks and cost trends.
+ Support the client in compiling information required for capital planning requests (funding).
+ SOX control responsibilities may be part of this role, which are to be adhered to where applicable.
**Qualifications**
+ Minimum of 4 years of using technical skills such as benchmarking, data modeling, and statistical methods to solve problems.
+ Previous commercial experience in data center or industrial / manufacturing projects.
+ Advanced software skills in Excel and Power BI Dashboards.
+ UAT/QA experience is helpful.
+ Strong presentation skills and ability to thrive in a client-facing role.
+ Good organization skills, ability to multi-task, prioritize, and be a team player.
**Additional Information**
**_*On-site presence and requirements may change depending on our clients' needs.*_**
_Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change._
_We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance._
_Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community._
_Please find out more about us at_ _***************************
_Turner & Townsend does not accept any speculative or unsolicited CV's that have been sent to our internal recruitment team or hiring managers from agencies outside of our preferred supplier list or that have not followed due process. Any speculative or unsolicited CV's will be treated as a direct application._
_All your information will be kept confidential according to EEO guidelines._
\#LI-MB1
Join our social media conversations for more information about Turner & Townsend and our exciting future projects:
Twitter (***********************************
Instagram
LinkedIn (****************************************************
_It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time._
_Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review._
Construction Management Data Analyst
Data science internship job in Phoenix, AZ
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 4
Data science internship job in Tempe, AZ
Data Analyst 4 Job ID: 21-11545 Client is seeking a Data Analyst to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems. Job Responsibilities: * Expert level knowledge and experience in complex database structure (preferably in MDM and EDW environment)
* Must have experience writing complex SQL (preferably ORACLE) and experience in Microsoft products - Excel, PowerPoint and Visio
* Must have experience in Analyzing Data Quality, Control and Health Check.
* Identified DQ gaps for various (in few 100s) existing "DQ Health Check batches"
* Independent and pro-active while able to make decision and handle pressure in fast pace environment
* Drive projects from discovery phase to solution proposal to delivery and Coordinate with all impacted line of businesses, IT Partners and various work streams
* Prior experience in Banking and Finance preferred
* Prior PM experience will be helpful
* Thorough understanding and application of principles, standards, industry practices, techniques and concepts
* Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results.
* Demonstrated ability to develop solutions to highly complex and diverse analytical problems which requires an in-depth evaluation of variable factors.
* Must have solid organizational skills, with the ability to handle complex projects in a multi-tasking environment and meet deadlines with quality results.
* Job details
*
Graduate Data Analyst
Data science internship job in Phoenix, AZ
The main responsibilities of this role include -
Assist in the preparation of reports and building complex data models
Devise new data collection and analysis processes
Work with key stakeholders to priorities information needs
Analyse results and report findings to the business
Identify and interpret trends or patterns in complex data sets
Develop strategies to optimise the quality of statistical results
Maintain database
Research background materials, including relevant economic and financial data
Assist in the development of long-range financial forecasts and related budgets
The Successful Applicant
The Successful Applicant will have the following -
Bachelors degree in Business / Commerce or related discipline
Ideally 1-3 years of experience, however, will also consider graduates straight from University
Intermediate Excel skills
Strong analytic skills and problem solving
Strong communication skills
Proficient in Power BI (preferred)
What's on Offer
New office currently being built
Opportunity to develop and enhance career
flexible working arrangements
Work closely with the CFO
Attractive remuneration and bonus
Flexible working arrangements
Data Analyst
Data science internship job in Phoenix, AZ
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
How will you make an impact in this role?
Job Description
American Express engages with thousands of third parties to provide goods and services. To ensure we protect our brand, avoid financial impact and adhere to various laws and regulations, all high-risk third parties are subject to risk management throughout the third-party lifecycle.
The GSM Third-Party Center of Excellence (COE) Reporting & Analytics team is responsible for the data management, transformation, analysis, and visualization of insights in support of the third-party management program. This team produces reporting and analytics for various stakeholders including the Third-Party COE, AXP Business Units, Management Committees and Risk Subject Matter Experts.
Our Third-Party COE Reporting & Analytics team not only understands how process, technology and systems work, but how the information is used to generate valuable and actionable insights for our program stakeholders. So, if you're interested in a career in analytics, machine learning and data strategy, creating breakthrough analytical products and making an impact on our internal customers and third parties, look no further.
In this role as Data Analyst, the successful candidate will be responsible for understanding analytical requirements, data transformation, applying statistical tools and data visualization for the Third-Party COE. The candidate will drive success of the analytical reports by working closely with program stakeholders, maintaining a strong project management framework, developing transformation logic, and providing value-added reporting.
Responsibilities:
Drive Analytical capabilities in support of GSM and AXP Business Units
Analyze the existing environment and derive opportunities, recommend alternative solutions to technical problems.
Deliver high quality and accurate results in a timely manner.
Enhancing data collection procedures to include information that is relevant for building analytic models and systems.
Processing, cleansing, and verifying the integrity of data used for analysis.
Propose and implement solutions to ad-hoc business problems, working independently to leverage data, drive insights, and presenting results in a clear and concise manner.
Predictive Analysis and visualization
Creating automated anomaly detection systems and constant tracking of its performance
Meticulous attention to details while preserving the goal and timeframe of end products
Translate requirements into concepts and user experience design - associate with stakeholders/ business partners to enhance design suggestions.
Drive Data strategy initiatives
Minimum Qualifications:
2+ years of experience in Analytics.
Bachelor's or Master's degree relevant to the industry (other credentials will be a plus)
Strong analytical bend and experience on analytics tools in Excel, Tableau, SQL, Alteryx etc.
Proficiency in dealing with large quantities of complex data and ability to derive actionable insights.
Strong communication and relationship building skills.
Proven ability to create powerful analytics and reporting is a must.
Strong performance behavior in previous role.
Excellent Visual Design skills with sensitivity to user-system interaction - experience in developing reporting solutions towards complex multi-paneled, interactive dashboards.
Ability to communicate complex ideas in a simple manner to a global audience.
Independent and self-motivated, capable of executing under uncertainty with multiple priorities, in a fast-paced environment.
Preferred Qualifications:
Third-party risk reporting knowledge would be preferred.
Guardian
Salary Range\: $65,500.00 to $102,500.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window\: https\://*******************
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.
Auto-ApplyData Scientist Lead, Vice President
Data science internship job in Tempe, AZ
JobID: 210686904 JobSchedule: Full time JobShift: Day : Join a powerhouse team at the forefront of Home Lending Data & Analytics, where we partner with Product, Marketing, and Sales to solve the most urgent and complex business challenges. Our team thrives in a fast-paced, matrixed environment, driving transformative impact through bold analytics and innovative data science solutions. We are relentless in our pursuit of actionable insights, seamlessly engaging with stakeholders and redefining what's possible through strategic collaboration and visionary problem solving. If you're ready to shape the future of home lending with breakthrough ideas and data-driven leadership, this is the team for you.
We are seeking a senior Data Scientist Lead to join our Home Lending Data & Analytics team, supporting Originations Product Team. This strategic role requires a visionary leader with a consulting background who excels at translating complex data into actionable business insights. The ideal candidate will be a recognized thought leader, demonstrating exceptional critical thinking and problem-solving skills, and a proven ability to craft and deliver compelling data-driven stories that influence decision-making at all levels. Success in this role requires not only technical expertise, but also the ability to inspire others, drive innovation, and communicate insights in a way that resonates with both technical and non-technical audiences.
Key Responsibilities:
* Identify, quantify, and solve obstacles to business goals using advanced business analysis and data science skillsets.
* Recognize and communicate meaningful trends and patterns in data, delivering clear, compelling narratives to drive business decisions.
* Serve as a data expert and consultant to the predictive modeling team, identifying and validating data sources.
* Advise business and technology partners on data-driven opportunities to increase efficiency and improve customer experience.
* Proactively interface with, and gather information from, other areas of the business (Operations, Technology, Finance, Marketing).
* Extract and analyze data from various sources and technologies using complex SQL queries.
* Summarize discoveries with solid data support and quick turnaround, tailoring messages for technical and non-technical audiences.
* Influence upward and downward-mentor junior team members and interface with business leaders to drive strategic initiatives.
* Foster a culture of innovation, attention to detail, and results within the team.
Qualifications:
* 6+ years of experience in business strategy, analytics, or data science.
* 2+ years of experience in business management consulting.
* Strong experience with SQL (query/procedure writing).
* Proficiency in at least one versatile, cross-technology tool/language: Python, SAS, R, or Alteryx.
* Demonstrated ability to craft compelling stories from data and present insights that influence decision-making.
* Clear and succinct written and verbal communication skills, able to frame and present messages for different audiences.
* Critical and analytical thinking, with the ability to maintain detail focus and retain big picture perspective.
* Strong Microsoft Excel skills.
* Ability to work independently, manage shifting priorities and projects, and thrive in a fast-paced, competitive environment.
* Excellent interpersonal skills to work effectively with a variety of individuals, departments, and organizations.
* Experience mentoring or leading teams is highly desirable.
Preferred Background:
* Experience in Mortgage Banking or Financial Services industry preferred.
* Previous experience in consulting, with exposure to a variety of industries and business challenges.
* Track record of successful stakeholder engagement and change management.
* Recognized as a thought leader, with experience driving strategic initiatives and innovation.
Auto-ApplyData Analyst Intern
Data science internship job in Phoenix, AZ
**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
**Job Summary**
As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences.
**Job Description**
We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026.
**This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.**
**What** **You'll** **Do**
+ Assist in collecting, processing, and analyzing large datasets to extract meaningful insights
+ Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics
+ Develop and maintain dashboards and reports to communicate findings to stakeholders
+ Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data
+ Support the team in ad hoc analysis and reporting requests
**What** **You'll** **Need**
Required:
+ Current Junior pursuing a degree in Computer Science or a related field
+ Minimum GPA of 3.5 or higher
+ Strong analytical skills and experience with data patterns and trends
+ Excellent critical thinking and problem-solving abilities
+ Familiarity with data analytics tools and techniques
+ Passion for working with data and a keen interest in customer data analysis
Preferred:
+ Understanding data engineering, data warehousing, and ETL processes
+ Familiarity with Python, Java, or Scala
+ Familiarity with Azure data storage
+ Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes.
+ Familiarity with cloud platforms (AWS or Azure,) and related data services
**Physical Demands**
+ Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards
+ Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
+ Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
\#DNP
**Reasonable accommodation statement**
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111.
The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
Summer 2026 - Data, AI, & Analytics Intern
Data science internship job in Phoenix, AZ
The Shamrock Students Professional Internship Program is an 11-week program focused on hands-on training in a variety of opportunities throughout the Shamrock Foods Company enterprise. As a Shamrock Student, you will be a part of a cohort of interns focused on real projects that impact the business. In addition to the work, you will do to support your department, you'll get to know your fellow interns through a variety of collaborative projects and events.
Essential Duties:
* Provide support for the data and analytics team in an accurate and timely manner
* Build and transform datasets to support data modeling and analysis needs.
* Assist in developing and evaluating machine learning models and experiments.
* Support data pipeline creation, including data ingestion, validation, and structuring.
* Other duties as assigned
Qualifications:
* 1+ year(s) educational experience and currently pursuing a degree from an accredited college or university with a focus on Data and Analytics, Business Analytics, Statistics, Computer Science, or related studies
* Maintains a minimum GPA of 3.0
* Must live in or near Phoenix, AZ
* Strong written and oral communication skills
* Strong sense of urgency and accountability
* Demonstrates expertise in Microsoft Office suite (Excel, Outlook, Word)
* Ability to learn and act in a fast-paced environment
* Effective task management
* High level of motivation and adaptability
* Great attitude and desire to learn and grow
Corporate Summary:
At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922.
Our Mission:
At Shamrock Foods Company, we live by our founding family's motto to 'treat associates like family and customers like friends.'
Why intern for us?
Shamrock Foods Company is committed to a program that goes beyond your typical internship experience, giving interns the opportunity to start their career path. We offer great training and growth for college students to help interns apply their education towards solving business problems and working on hands-on projects in a workplace environment. Our interns are more than a temporary associate; they become part of our family.
Equal Opportunity Employer
At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.
Summer 2026 - Data, AI, & Analytics Intern
Data science internship job in Phoenix, AZ
The Shamrock Students Professional Internship Program is an 11-week program focused on hands-on training in a variety of opportunities throughout the Shamrock Foods Company enterprise. As a Shamrock Student, you will be a part of a cohort of interns focused on real projects that impact the business. In addition to the work, you will do to support your department, you'll get to know your fellow interns through a variety of collaborative projects and events.
Essential Duties:
Provide support for the data and analytics team in an accurate and timely manner
Build and transform datasets to support data modeling and analysis needs.
Assist in developing and evaluating machine learning models and experiments.
Support data pipeline creation, including data ingestion, validation, and structuring.
Other duties as assigned
Qualifications:
1+ year(s) educational experience and currently pursuing a degree from an accredited college or university with a focus on Data and Analytics, Business Analytics, Statistics, Computer Science, or related studies
Maintains a minimum GPA of 3.0
Must live in or near Phoenix, AZ
Strong written and oral communication skills
Strong sense of urgency and accountability
Demonstrates expertise in Microsoft Office suite (Excel, Outlook, Word)
Ability to learn and act in a fast-paced environment
Effective task management
High level of motivation and adaptability
Great attitude and desire to learn and grow
Corporate Summary:
At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922.
Our Mission:
At Shamrock Foods Company, we live by our founding family's motto to 'treat associates like family and customers like friends.'
Why intern for us?
Shamrock Foods Company is committed to a program that goes beyond your typical internship experience, giving interns the opportunity to start their career path. We offer great training and growth for college students to help interns apply their education towards solving business problems and working on hands-on projects in a workplace environment. Our interns are more than a temporary associate; they become part of our family.
Equal Opportunity Employer
At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.
Data Center Quality Inspector-Intern
Data science internship job in Phoenix, AZ
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.