Full-Time

Data Scientist

Updated on 8/24/2026

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 20, 2026 CoCounsel Legal launched agentic brief building and tabular analysis.
  • Q2 2026 organic revenue rose 8%; Legal Professionals and Corporates each grew 10%.
  • The July 14, 2026 KKR JV frees capital and management attention for AI products.

What critics are saying

  • Anthropic, OpenAI, and Harvey commoditize legal AI, pressuring Westlaw pricing by 2027.
  • The $500 million KKR print JV exposes declining print economics and shrinking relevance.
  • If Thomson fails accuracy tests, firms will keep Claude and avoid Thomson Reuters workflows.

What makes Thomson Reuters unique

  • Westlaw and Practical Law give Thomson Reuters citation-grade legal authority competitors lack.
  • Reuters newsroom plus proprietary tax, legal, and compliance content creates defensible workflow depth.
  • CoCounsel Legal embeds verified research into drafting, not just generic chatbot answers.

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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

Business Insider
Aug 24th, 2026
Thomson Reuters launches AI model based on Chinese tech to cut Claude costs

Thomson Reuters launched its first AI model, Thomson-1, built on technology derived from Chinese tech giant Alibaba's open-source Qwen model. The Canadian data and legal giant aims to reduce reliance on costly AI from Anthropic's Claude. Chief technology officer Joel Hron said Thomson-1 will handle tasks like document review previously managed by Claude, though it won't completely replace partnerships with external AI labs. The move reflects growing pressure on large companies facing high AI costs from chatbots like Claude and OpenAI's Codex. A joint team from Thomson Reuters and Imperial College adapted Qwen over several months to create Snowdon, ensuring it was "ethically and politically de-biased and safe to use". Hron cited cost savings and building proprietary intellectual property as main drivers, comparing the strategy to buying versus renting a house.

PR Newswire
Aug 24th, 2026
Thomson Reuters launches Thomson LLM for $40M, challenging frontier model economics

Thomson Reuters has launched Thomson, its first proprietary large language model developed in-house. The company invested $40 million in training the model, using open-source foundations combined with decades of proprietary content from Westlaw, Practical Law, Checkpoint, and Reuters. The model was built at a fraction of the cost typically spent by frontier labs, which have invested billions in similar developments. Thomson Reuters maintains full ownership and control of the model, avoiding the high inference costs associated with typical frontier models. Early evaluations suggest Thomson performs comparably to leading frontier models across various tasks. The model has been trained on less than 10% of Thomson Reuters' content so far. Thomson's first deployment will be in Tabular Analysis within CoCounsel Legal, serving law firms and corporate legal departments. The company plans to extend Thomson across its legal and tax portfolio, with additional sovereign AI options to follow.

Legal IT Insider
Aug 20th, 2026
Thomson Reuters and iManage deepen AI partnership with MCP-enabled knowledge integration.

Thomson Reuters and iManage deepen AI partnership with MCP-enabled knowledge integration. * August 20, 2026 iManage and Thomson Reuters today (20 August) announced a deeper strategic partnership including model context protocol support that enables Thomson Reuters' AI tools to access provisioned iManage content while preserving access controls and ethical walls. iManage documents can flow into the Thomson Reuters workflow and the resulting work product is returned automatically, meaning a firm can better leverage its own governed knowledge. The partnership is also designed to share context that is specific to the client while maintaining separate repositories or parallel governance regimes. "Ask any lawyer what slows them down and they will tell you the same thing: the work lives in too many places. This renewed partnership changes that across more of the places where legal work actually happens, including CoCounsel Legal, HighQ, Noetica and Contract Express," said Rawia Ashraf, co-head of CoCounsel Legal. She adds: "The integration is deeper than ever with documents from iManage flowing directly into the workflow, work product flowing back automatically, and the connection staying current as matters evolve. Legal teams have spent years building their knowledge in iManage. We are making sure it works harder across everything we build. The MCP will add another way for our systems to work together, complementing the integrations customers already use today."

Newswire
Aug 20th, 2026
Thomson Reuters launches next generation of CoCounsel Legal, the AI ecosystem built for Legal Professionals.

Thomson Reuters launches next generation of CoCounsel Legal, the AI ecosystem built for Legal Professionals. Aug 20, 2026, 09:00 ET New Westlaw Brief Builder helps litigators move from legal research and issue analysis to first-draft briefs within a single AI-powered workflow TORONTO, Aug. 20, 2026 /CNW/ - Thomson Reuters (Nasdaq/TSX: TRI), a global content and technology company, today announced the general availability of the next generation of CoCounsel Legal, a fully agentic AI experience designed to help legal professionals move from research and issue analysis to trusted work product within a single workflow. Purpose-built for legal work and grounded in the trusted authority of Westlaw and Practical Law, CoCounsel Legal is engineered to reason, plan, and execute at the level of a senior associate. The enhanced experience brings together legal research, drafting, legal intelligence, verification, and matter-centric workflows in one connected environment, helping law firms and legal departments move seamlessly from question to strategy to execution. As legal organizations shift from AI experimentation to enterprise-wide adoption, they are increasingly evaluating technology based not on whether it can generate answers, but on whether it can be trusted to support legal work. CoCounsel Legal addresses that need by combining transparent reasoning, citation-backed results, and trusted legal content with agentic capabilities that can orchestrate complex, multi-step tasks. "The legal industry is moving beyond AI that simply generates answers," said Raghu Ramanathan, President, Legal Professionals, Thomson Reuters. "Whether you're at an Am Law 100 firm, a midsize or small practice, or a corporate legal department, the challenge is the same: turning insight into action. The next generation of CoCounsel Legal helps professionals complete legal work with confidence by combining trusted legal content, agentic intelligence, and workflow execution in a single experience. That's a fundamentally different approach to legal AI and a major step forward for the profession." Built on Anthropic's Claude Agent SDK, CoCounsel Legal can plan, reason, and execute across complex legal workflows rather than respond to isolated prompts. Every output remains grounded in verified, traceable legal authority and adheres to Thomson Reuters Fiduciary-Grade AI(TM) principles, providing the transparency, accountability, and confidence professionals demand. "What sets the new CoCounsel Legal apart is that it doesn't just answer questions; it builds toward real work product," said Jennifer Eng, Shareholder, Commercial Litigation, Polsinelli. "Its grounding in Westlaw gives me confidence that the research is authoritative, while the agentic workflow carries that analysis through reasoning, drafting, and verification. As a litigator, I need speed without sacrificing precision, and this is the first tool that gets me from a complex legal question to a defensible draft, faster and with real confidence, which is not a small shift." Since introducing early access to customers, Thomson Reuters has worked closely with legal professionals to refine the experience and develop new capabilities that address the most critical moments in the legal workflow. Through the evolution of CoCounsel Legal, Thomson Reuters committed to building partnerships with customers, inviting them to join the beta and early access programs to gather feedback. As the product developed, Thomson Reuters introduced several new agentic capabilities designed to help legal professionals accelerate high-value work. New Capabilities for Legal Work Westlaw Brief Builder The newest addition to CoCounsel Legal, Westlaw Brief Builder helps litigators move from research and issue analysis to first-draft brief creation while validating authority along the way. Powered by Westlaw Deep Research, KeyCite, and Practical Law, it proposes relevant facts, arguments, and supports authority while keeping lawyers firmly in control of strategy, legal theory, and final decisions. Workspaces Workspaces provide a dedicated environment for every matter, combining firm and legal department documents, precedents, and institutional knowledge to inform analysis from the outset. Context is preserved across matters and teams, helping legal professionals build on prior work instead of starting from scratch. The Drafting Agent in CoCounsel for Word enables legal professionals to draft, edit, and review agreements using natural language instructions directly within Microsoft Word, leveraging Practical Law content alongside an organization's own documents and playbooks. Tabular Analysis Designed for high-volume document review, Tabular Analysis allows attorneys to review up to 10,000 documents and ask up to 100 questions, with results returned in a dynamic, filterable table. Powered by Thomson, Thomson Reuters proprietary legal-focused large language model, it is optimized for complex legal analysis where domain-specific AI can outperform general-purpose models. Deep Research Verify Deep Research Verify checks whether cited Westlaw and Practical Law authority supports specific legal assertions, helping legal professionals strengthen confidence in AI-assisted work product. "A brief is only as strong as the thinking behind it," said Emily Colbert, SVP, CoCounsel Litigation at Thomson Reuters. "Westlaw Brief Builder was built to support that thinking, not replace it, by transforming how litigators research, test, and refine their arguments at every stage, from spotting the right issues to backing them with authoritative law. The goal is not to simply generate a document faster; it's to help lawyers build a stronger, more defensible case they're confident standing behind in court." Partnerships Thomson Reuters is continuing its work with Anthropic, including the launch of an expanded CoCounsel Legal MCP with Claude in August. The integration enables legal professionals to access CoCounsel Legal directly from Claude and receive cited, traceable work product grounded in Westlaw, Practical Law, and their organization's own knowledge. Thomson Reuters and AWS are also expanding their collaboration, with a forthcoming MCP connection designed to extend CoCounsel Legal's trusted, verifiable legal AI into Amazon Quick, AWS's AI companion built for work, as well as other AWS offerings. Beginning in October, an integration with Reveal will allow litigation teams to bring reviewed evidence directly from Reveal into CoCounsel Legal for research, analysis, and drafting, eliminating the need to manually export and re-upload documents. Availability One million professionals across 107 countries and territories now rely on CoCounsel, reflecting the industry's shift from AI experimentation to AI embedded directly into professional workflows where trust, sourcing, and accountability matter most. The new CoCounsel Legal experience is available now in the United States. Availability in Canada, the United Kingdom, and Australia is expected later this year. With the next generation of CoCounsel Legal, Thomson Reuters is helping define the future of legal work, combining trusted authority, agentic intelligence, and professional expertise to enable legal teams to work with greater confidence, efficiency, and impact. As the industry moves beyond AI experimentation, CoCounsel Legal delivers a trusted path from legal question to defensible work product. Thomson Reuters Thomson Reuters (Nasdaq/TSX: TRI) informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. The company serves professionals across legal, tax, audit, accounting, compliance, government, and media. Its products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. For more information, visit thomsonreuters.com. SOURCE Thomson Reuters

PR Newswire
Aug 20th, 2026
Thomson Reuters launches agentic AI legal assistant with Westlaw Brief Builder

Thomson Reuters has launched the next generation of CoCounsel Legal, an agentic AI platform designed for legal professionals. Built on Anthropic's Claude Agent SDK and grounded in Westlaw and Practical Law content, the system can plan, reason, and execute complex legal workflows. The platform introduces Westlaw Brief Builder, which helps litigators move from research to first-draft briefs. Other features include Workspaces for matter-specific collaboration, a Drafting Agent for Microsoft Word, and Tabular Analysis for reviewing up to 10,000 documents. CoCounsel Legal integrates with Claude and AWS, with a forthcoming connection to Reveal for litigation teams. The platform is available now in the United States, with rollout to Canada, the UK, and Australia expected later this year. One million professionals across 107 countries currently use CoCounsel, reflecting growing enterprise adoption of AI in legal workflows.