1

Internship Public Policy Data Science Jobs in Kansas

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a ... Purposeful work that makes a real difference Whether you're studying business, public health ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a ... Purposeful work that makes a real difference Whether you're studying business, public health ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a ... Purposeful work that makes a real difference Whether you're studying business, public health ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a ... Purposeful work that makes a real difference Whether you're studying business, public health ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a ... Purposeful work that makes a real difference Whether you're studying business, public health ...

next page

Showing results 1-20

Internship Public Policy Data Science information

What is an internship in public policy data science?

An Internship in Public Policy Data Science is a temporary position where students or recent graduates work with organizations to analyze data and provide insights relevant to public policy issues. Interns typically use statistical tools, programming languages, and analytical methods to inform policy decisions in areas like healthcare, education, or the environment. This role offers hands-on experience in both data science and policy analysis, helping interns develop valuable skills for careers in government, non-profits, or consulting. Interns may work on real-world projects such as evaluating policy impacts, visualizing data trends, or supporting research efforts.

How does an internship in public policy data science typically contribute to real-world policy projects within an organization?

As an intern in Public Policy Data Science, you will often work on analyzing large datasets to support evidence-based policy-making. Interns commonly assist in gathering, cleaning, and visualizing data, as well as developing reports or presentations for policy stakeholders. You may collaborate closely with policy analysts, data scientists, and subject matter experts, contributing your technical skills to ongoing projects that address real community or governmental challenges. This hands-on experience not only builds your technical expertise but also provides valuable insights into the policy-making process and how data informs impactful decisions.

What are the key skills and qualifications needed to thrive as an internship in public policy data science?

To thrive as an Internship Public Policy Data Science professional, you typically need foundational knowledge in statistics, data analysis, and public policy, often supported by coursework or a degree in data science, economics, or a related field. Proficiency in tools such as Python or R, data visualization software, and familiarity with databases like SQL are highly valued. Strong communication, critical thinking, and teamwork skills help you present findings effectively and collaborate on policy projects. These skills are crucial for analyzing complex data, informing policy decisions, and contributing to impactful public sector solutions.

What is the difference between Internship Public Policy Data Science vs Public Policy Analyst?

AspectInternship Public Policy Data SciencePublic Policy Analyst
Required CredentialsTypically students or recent graduates, some technical skills in data science or statisticsBachelor's or master's in public policy, political science, or related fields
Work EnvironmentInternship setting, often in government agencies, NGOs, or research institutionsFull-time roles in government, think tanks, or advocacy organizations
Employer & Industry UsageUsed for gaining experience in data-driven policy analysisUsed for developing policy recommendations and analysis

Internship Public Policy Data Science focuses on gaining practical experience in data analysis within public policy contexts, often involving technical skills. Public Policy Analysts conduct comprehensive policy research and develop recommendations. While internships are temporary and entry-level, analysts hold full-time roles with broader responsibilities.

What are the most commonly searched types of Public Policy Data Science jobs in Kansas?

The most popular types of Public Policy Data Science jobs in Kansas are:

What are popular job titles related to Internship Public Policy Data Science jobs in Kansas?

For Internship Public Policy Data Science jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Internship Public Policy Data Science jobs in Kansas look for?

The top searched job categories for Internship Public Policy Data Science jobs in Kansas are:

Manager, Data Science & Innovation - Wearable Devices

Topeka, KS • On-site


Colgate-Palmolive Company
Manufacturing • 10K+ employees

6.4

Company rating: 6.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


$140K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Relocation Assistance Offered Within Country
Job Number #174930 - Topeka, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
The Manager, Wearables Data Science & Innovation is a key technical leader within the Wearables Data Science and Innovation team, reporting directly to the Director of Wearables Innovation. In this role, you will lead a cross-functional team of scientists and data engineers to extract actionable insights from 24/7 pet wearable sensor data, directly validating product performance and driving corporate strategy. This position offers an exciting opportunity to combine advanced machine learning development with people leadership to shape the future of pet care technology. Ultimately, this role is responsible for translating complex time-series data into credible, high-impact product claims and behavioral insights.
Responsibilities:
  • Lead the technical development lifecycle of advanced machine learning architectures and data pipelines tailored for wearable devices and animal behavior algorithms.
  • Oversee end-to-end ML-Ops, model training, and code quality standards to ensure reliable, on-schedule deployment of data products.
  • Partner with leadership to align the technical roadmap and capability development with broader corporate strategic objectives and long-term vision.
  • Consult on clinical and observational study designs, establishing data collection standards and quality assurance reviews for data annotation pipelines to substantiate product claims.
  • Serve as the primary technical liaison for hardware and firmware development teams to streamline system integrations, data transfer protocols, and troubleshooting.
  • Mentor and develop scientists, data scientists, and engineers, promoting continuous process improvement and a culture of collaborative technical excellence.

Required Qualifications:
  • Master's degree in Computer Science, Data Science, Computer/Electrical Engineering, Applied Mathematics, or a related technical field.
  • 4+ years of progressive data science experience specifically focused on machine learning, signal processing, and time-series sensor data analysis.
  • Proficiency in Python or equivalent machine learning programming languages, with demonstrated software prototyping capabilities.
  • Proven familiarity with clinical or observational study designs and data collection methodologies used for claim substantiation.

Preferred Qualifications:
  • PhD in Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
  • Domain-specific expertise in developing machine learning models for animal behavior analysis.
  • Comprehensive knowledge of data platform architecture, cloud infrastructure (AWS, Azure, Google Cloud), CI/CD pipelines, and Git version control.
  • Strong functional competency in translating complex scientific findings into actionable business insights for non-technical stakeholders.
  • Demonstrated alignment with global core competencies, specifically Driving Innovation, Teamwork, and Planning & Priority Setting.

Compensation and Benefits
Salary Range $140,000.00 - $160,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
#LI-Hybrid

Colgate-Palmolive logo

About Colgate-Palmolive

Sourced by ZipRecruiter

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom's of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Science Diet and Hill's Prescription Diet.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1806

Social media


What Colgate-Palmolive employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom