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Legal Data Science Jobs (NOW HIRING)

Apple

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization - and every AI system is only as good as the data flowing into it. The AI Data ...

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Role Overview We are seeking a motivated and analytical Data Science Associate to support Compliance, Legal, Assurance, and Governance functions by embedding data analytics into compliance, risk, and ...

Apple, Inc.

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization - and every AI system is only as good as the data flowing into it. The AI Data ...

TransUnion

Data Science Platform Developer

Chicago, IL · On-site

Own data science requirements and tracking, working to identify strategies and opportunities to ... You can also opt into a legal plan, pet insurance, and travel accident coverage. For Your Family

Michaels Stores, Inc.

Manager - Data Science

Irving, TX · On-site

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... S. must satisfy federal, state, and local legal requirements of the job. At The Michaels Companies ...

Michaels Stores Inc

Manager - Data Science

Irving, TX · On-site

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... S. must satisfy federal, state, and local legal requirements of the job. At The Michaels Companies ...

Michaels Stores

Manager - Data Science

Irving, TX

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... S. must satisfy federal, state, and local legal requirements of the job. At The Michaels Companies ...

The Michael's Companies

Manager - Data Science

Irving, TX · On-site

$100 - $130/hr

R00305818Support Center - IrvingThe Manager - Data Science role is critical in helping to determine ... S. must satisfy federal, state, and local legal requirements of the job.**At The Michaels Companies ...

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All JobsLegal JobsLaw Office and Legal Clinic JobsLegal Services Professional JobsLegal Data Science Jobs

Legal Data Science information

See salary details

$27.5K

$53.3K

$85K

How much do legal data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for legal data science in the United States is $53,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What is legal data science?

Legal data science is the application of data analysis, statistical methods, and machine learning to legal data and processes. It involves extracting, processing, and interpreting large volumes of legal documents, such as court decisions, contracts, or case filings, to uncover trends, predict outcomes, automate tasks, and support decision-making in the legal industry. Legal data scientists often work with law firms, corporations, or government agencies to improve efficiency and gain insights from complex legal datasets.

What are some common challenges faced by professionals in legal data science roles?

Professionals in Legal Data Science often face challenges related to data quality and accessibility, as legal data is typically unstructured, sensitive, and dispersed across multiple sources. Navigating privacy regulations, ensuring data security, and maintaining confidentiality are critical aspects of the job. Additionally, legal data scientists must bridge the gap between legal teams and technical stakeholders, translating complex legal requirements into actionable data solutions. Effective collaboration and strong communication skills are essential to address these challenges and drive successful outcomes.

What are the key skills and qualifications needed to thrive as a legal data scientist, and why are they important?

To thrive as a Legal Data Scientist, you need a strong background in data analysis, statistics, and legal principles, often supported by degrees in law, computer science, or related fields. Familiarity with programming languages like Python or R, machine learning frameworks, and legal research databases is typically required. Excellent analytical thinking, attention to detail, and effective communication skills are crucial for interpreting complex legal data and collaborating with legal professionals. These skills enable you to extract valuable insights from legal datasets, drive data-informed decisions, and support compliance and litigation strategies.

What is the difference between Legal Data Science vs Legal Analyst?

AspectLegal Data ScienceLegal Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of legal conceptsLegal degree or paralegal certification; understanding of legal procedures
Work EnvironmentData-driven teams, tech-focused settings, law firms, or legal departmentsLaw firms, corporate legal departments, courts
Employer & Industry UsageLegal tech companies, law firms, corporate legal teamsLaw firms, government agencies, corporate legal departments
Common Search & ComparisonLegal Data Science vs Legal Analyst

Legal Data Science focuses on analyzing large legal datasets using data science techniques, while Legal Analysts interpret legal information and support casework. Both roles are essential in legal settings but differ in technical skills and focus areas.

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What cities are hiring for Legal Data Science jobs?

Cities with the most Legal Data Science job openings:

What job categories do people searching Legal Data Science jobs look for?

The top searched job categories for Legal Data Science jobs are:

Legal Data Science jobs near you
Infographic showing various Legal Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $53,278 per year, or $25.6 per hour.

Data Scientist, Finance Data & Insights

Spotify

New York, NY

$116K - $167K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago

Job description

We are looking for a Data Scientist to join the Finance Data & Insights organization. You will support the Legal and Finance organizations through data analytics and ad-hoc reporting, while using your experience to improve data self-service capabilities and automation through AI tooling. You will also contribute to process automation and provide technical and data guidance to Legal and Finance partners.
What You'll Do
  • Gain and apply a deep understanding of Spotify's data ecosystem to support operational data requirements for legal requests
  • Work with a cross-functional team of data scientists, engineers, and functional stakeholders to develop and maintain systems and processes that support Legal and Finance
  • Partner with engineering teams to gather requirements and generate outputs for technically complex matters
  • Work with large datasets to solve complex problems in a fast-paced and dynamic environment
  • Improve process efficiency through automation and the delivery of data pipelines that strengthen existing self-service reporting and analytics
  • Collaborate with highly motivated colleagues who are passionate about Spotify's success
Who You Are
  • You have a passion for solving complex problems through data analysis, combined with strong business acumen and excellent communication skills
  • You can communicate effectively with both technical and non-technical teams to understand problems and articulate proposed solutions
  • You can draw meaningful conclusions from analysis and investigations that inform business decisions
  • You have experience validating datasets and outputs created by other teams or members of your team
  • You can identify opportunities to make processes more efficient and translate common workflows into feature requirements
  • You have 4+ years of experience in data analytics, including relevant experience with financial and/or legal data
  • You have a degree in information systems, computer science, finance, mathematics, or another quantitative discipline
  • You have experience performing analysis across large and complex datasets
  • You have strong SQL knowledge and experience using Claude Code, Codex, or other AI platforms for research, routines, and text-to-SQL capabilities
Where You'll Be
  • This role is based in New York.
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
  • We ask that you come in 2-3 times per week.
The United States base range for this position is $116,994-$167,135, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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