Full-Time

Data Scientist

Updated on 8/15/2026

Deadline 12/14/26
Thomson Reuters

Thomson Reuters

10,001+ employees

Legal, financial data, and media services

Compensation Overview

$117.7k - $218.6k/yr

+ Annual Bonus

No H1B Sponsorship

McLean, VA, USA

Hybrid

Hybrid work is required in the Washington, DC area.

US Citizenship, US Top Secret Clearance Required

Bachelor's, Master's

Category
Data & Analytics (1)
Required Skills
LLM
Kubernetes
FastAPI
Python
JavaScript
Data Visualization
Data Science
R
Git
Forecasting
SQL
Machine Learning
Java
Data Engineering
Docker
Version Control
REST APIs

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Requirements
  • United States citizenship is required.
  • Ability to obtain and maintain a U.S. security clearance or agency work suitability determination as required by assignment.
  • Willingness to work full time in a hybrid environment in the Washington, DC area.
  • A Bachelor's or Master's degree in a technical field, such as data science, statistics, computer science, mathematics, engineering, physical or biological sciences, geographic information systems, or another field with substantial technical or quantitative coursework.
  • At least 3 years of relevant experience in applied research and development, rapid prototyping and application development, large data management, large data analysis, large data modeling, large data storytelling, or programming.
  • Practical experience writing, editing, customizing, and executing Python code.
  • Experience using Python, Docker, FastAPI, and Git or GitHub.
  • Experience using SQL for data extraction, pipelining, transformation, or exploration.
  • Ability to handle sensitive, confidential, or regulated data according to applicable policies and requirements.
  • Ability to interface directly with customers at all levels and represent Thomson Reuters Special Services.
  • Ability to work independently and as a member of cross-functional teams.
  • Ability to translate customer requests or problem statements into project plans, define goals and methods, and deliver actionable results within required timeframes.
  • Ability to use modern software development practices, including shared repositories, version control, testing, documentation, containerization, and iterative development.
Responsibilities
  • Develop data science, machine learning, and artificial intelligence capabilities for mission and operational problem areas.
  • Develop data pipelines, features, and models using methods such as natural language processing and large language models, geospatial and temporal analytics, anomaly and pattern detection, forecasting and simulation, and multimodal data fusion.
  • Design, test, evaluate, and refine data science, machine learning, artificial intelligence, or analytic approaches for technical or mission-driven problems.
  • Build proof-of-concept workflows, application programming interfaces, features, applications, and decision-support tools.
  • Query, extract, clean, verify, integrate, resolve, and maintain structured and unstructured data.
  • Apply statistical methods, graph networks, anomaly detection, spatial analysis, temporal analysis, forecasting, and pattern discovery to large datasets.
  • Build and maintain machine learning, artificial intelligence, natural language processing, computer vision, simulation, classification, and clustering models.
  • Explain insights and methodology to technical and non-technical audiences using dashboards, plots, visualizations, and customer-facing communication.
  • Contribute to cross-functional teams with software engineers, product managers, analysts, and other technical contributors.
  • Use version control, automated testing, containerized deployments, code review, and iterative delivery practices.
  • Participate in internal research and development, maintain shared capabilities, strengthen technical skills, and support business development through proof-of-concept projects and capabilities briefings.
Desired Qualifications
  • Current or active government work suitability or security clearance.
  • Experience supporting Department of Defense, Department of War, intelligence, or other government research and development programs.
  • Programming experience in R, Java, or JavaScript in addition to Python.
  • Experience managing collaborative codebases, version control, linting and testing, containerization, continuous integration and continuous delivery, Kubernetes, agentic workflows, and REST APIs.
  • Experience contributing to shared project or product repositories in collaborative development environments.
  • Experience building prototype or production applications that operationalize data science, machine learning, or artificial intelligence capabilities.
  • Experience in natural language processing and information extraction, large language models and agentic artificial intelligence, geospatial analytics, temporal analysis, anomaly detection, cyber operations, forecasting, or simulation.

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company Size

10,001+

Company Stage

IPO

Headquarters

Toronto, Canada

Founded

1851

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Simplify Jobs

Simplify's Take

What believers are saying

  • August 5, 2026 Q2 revenue rose 9%, and organic growth hit 8%.
  • Management raised 2026 outlook to roughly 8% and Big 3 growth to 9.5%-10%.
  • KKR's July 14, 2026 Global Print deal frees capital for AI and acquisitions.

What critics are saying

  • July 2026 engineering cuts signal AI efficiency pressure and slower product execution.
  • The ICE contract and Billie Little lawsuit keep employee backlash and reputational damage alive.
  • OpenAI, Anthropic, and Google can commoditize legal research by 2027, crushing pricing power.

What makes Thomson Reuters unique

  • Westlaw and Practical Law give Thomson Reuters owned legal authority, not scraped web content.
  • On August 3, 2026, Thomson launched Thomson, its proprietary legal AI model.
  • CoCounsel Legal integrates Westlaw, Practical Law, and Anthropic's Claude Agent SDK.

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Benefits

Hybrid Work Options

Flexible Work Hours

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Paid Holidays

Sabbatical Leave

401(k) Company Match

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Employee Stock Purchase Plan

Tuition Reimbursement

Mental Health Support

Social Impact

Company News

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