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Internship Law Enforcement Analyst Jobs (NOW HIRING)

penlink

Customer Success Specialist

Mobile, AL · On-site

We partner with law enforcement agencies across the United States, offering a software solution to manage data and aid investigators solving crimes. It sounds like a lot of data and analytics, but ...

penlink

Customer Success Specialist

Lincoln, NE · Remote

We partner with law enforcement agencies across the United States, offering a software solution to manage data and aid investigators solving crimes. It sounds like a lot of data and analytics, but ...

penlink

Customer Success Specialist

Lincoln, NE · On-site +1

We partner with law enforcement agencies across the United States, offering a software solution to manage data and aid investigators solving crimes. It sounds like a lot of data and analytics, but ...

PenLink

Customer Success Specialist

We partner with law enforcement agencies across the United States, offering a software solution to manage data and aid investigators solving crimes. It sounds like a lot of data and analytics, but ...

Obsidian Solutions Group LLC

Description Law Enforcement Specialist Primary Location: Various U.S. Army Installations (CONUS ... Our core capabilities are in providing Enterprise IT, Intelligence Analysis, Production ...

Obsidian Solutions Group LLC

Law Enforcement Specialist Primary Location: Various U.S. Army Installations (CONUS) - field-based ... Our core capabilities are in providing Enterprise IT, Intelligence Analysis, Production ...

Obsidian Solutions Group

Job Type Full-time Description Law Enforcement Specialist Primary Location: Various U.S. Army ... Our core capabilities are in providing Enterprise IT, Intelligence Analysis, Production ...

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Internship Law Enforcement Analyst information

What is an internship law enforcement analyst?

An Internship Law Enforcement Analyst is a student or recent graduate who assists law enforcement agencies with data analysis, research, and investigative support. Their work typically involves gathering crime data, analyzing crime patterns, preparing reports, and supporting officers or detectives in ongoing investigations. This role provides hands-on experience in the field of law enforcement analysis and is often a stepping stone to a full-time analyst position. Interns may also learn about crime mapping, intelligence gathering, and criminal justice procedures while working under supervision.

What are the key skills and qualifications needed to thrive as an internship law enforcement analyst, and why are they important?

To thrive as an Internship Law Enforcement Analyst, you generally need a background in criminal justice or a related field, strong analytical abilities, and attention to detail. Familiarity with crime data analysis tools, law enforcement databases, and Microsoft Excel or similar software is typically required. Strong communication, critical thinking, and teamwork skills help interns effectively support investigations and collaborate with officers. These skills are essential for accurately interpreting data, contributing valuable insights, and supporting public safety efforts.

What types of projects and tasks can an internship law enforcement analyst expect to work on during their placement?

As an Internship Law Enforcement Analyst, you can expect to assist with data collection, crime trend analysis, and the preparation of reports for ongoing investigations. Interns often support senior analysts in compiling statistical data, mapping crime patterns, and performing research to inform strategic decisions. There are also opportunities to collaborate with officers and detectives, attend briefings, and contribute insights to help prioritize law enforcement resources. This role provides a dynamic learning environment and exposure to real-world analytical methods used in policing.

What cities are hiring for Internship Law Enforcement Analyst jobs?

Cities with the most Internship Law Enforcement Analyst job openings:

What are the most commonly searched types of Law Enforcement Analyst jobs?

The most popular types of Law Enforcement Analyst jobs are:

What states have the most Internship Law Enforcement Analyst jobs?

States with the most job openings for Internship Law Enforcement Analyst jobs include:

Internship Law Enforcement Analyst jobs near you

Data Scientist - Law Enforcement Analytics & Program

Meta

New York, NY • Remote

$151K/yr

Full-time

Posted 17 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta is seeking a Data Scientist to join our Law Enforcement Analytics & Program (LEAP) team. Our mission is to enable Meta's capacity to balance public safety, user privacy, and compliance obligations at scale through strategic coordination, technical leadership, and operational success across the Security, Integrity, Investigations (SI2) legal team and its partners. This role leverages AI, data and insights to drive decisions that enable predictability, and proactive detection, allowing us to operate efficiently and reliably at scale. You will be building AI models and will be involved in the design, development, and deployment of intelligent solutions that reduce the operational and investigative burden. This role will directly impact the scalability and efficiency of our operations and investigations through proactive detection, automation, and resolution of routine tasks, inefficiencies, and incidents. In addition, this is a crucial role in translating data into action and identifying opportunities for efficiency and effectiveness.
Data Scientist - Law Enforcement Analytics & Program Responsibilities:
  • Translate business challenges into clear, actionable requirements for AI-enabled solutions
  • Map end-to-end business processes, highlighting areas where AI can drive efficiency and value
  • Design, build and implement AI automations
  • Develop and deploy solutions and AI prompts to identify and address bottlenecks, replacing manual interventions with intelligent automation
  • Create scalable automation mechanisms that proactively monitor, analyze, and report
  • Build robust predictive models using statistical and machine learning techniques to forecast risks, anticipate issues and optimize
  • Develop monitoring tools to trigger early warnings and facilitate rapid resolution through automation
  • Acts as a data subject matter
  • Formulate the right metrics, measures, and definitions of success to drive quality, efficiency, cost, and timeliness understanding the source data
  • Perform complex data analysis leveraging data streams available to drive proactive and predictive action
  • Partner with operational analysts, investigators, and engineering partners to understand pain points, identify repetitive tasks, and translate them into opportunities for automation
  • Bring multiple areas of business and engineering together via a common reliable foundation of common data, metrics, and insights
  • Build data tables and dashboards, and leverage these for interpreting incidents and trends
  • Leverage tools like Tableau, Python, and SQL to drive efficient analytics

Minimum Qualifications:
  • 6+ years of experience in analytics, engineering, and use of AI/ML
  • 6+ years of SQL development experience and scripting language like Python
  • Hands-on experience with AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) and automation tools/platforms
  • Experience with data visualization tools and leveraging data models to drive business decisions
  • Experience with statistics (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.)
  • Demonstrated experience with proactively identifying, scoping and implementing solutions
  • Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
  • Bachelor's Degree in an anlaytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or Data Science)

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Master's Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or Data Science)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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@meta.com.
$151,000/year to $213,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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