# Data Scientist Source: https://realanalystjobs.com/job/data-scientist-thomson-reuters-bb78fd2f Data Scientist at Thomson Reuters, an on-site role based in McLean, Virginia, USA. Experience level: 3 Years. Posted on 13 November 2026, read from Thomson Reuters' own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes. Thomson Reuters has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Thomson Reuters](https://realanalystjobs.com/data-science-jobs/at/thomson-reuters) - Location: McLean, Virginia, USA - Work mode: On-site - Posted: Nov 13, 2026 - Employment type: Full time - Experience level: 3 Years - Source: Thomson Reuters' careers page (Workday), re-checked daily Skills: Computer vision, Statistics, [Python](https://realanalystjobs.com/skills/python), [R](https://realanalystjobs.com/skills/r), [SQL](https://realanalystjobs.com/skills/sql) ## Visa sponsorship The posting does not say. Thomson Reuters had H-1B petitions approved for 41 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/data-science-jobs/at/thomson-reuters#h1b-record) ## About this role Job Description Thomson Reuters Special Services (TRSS) is looking for a Data Scientist to support our Federal Law Enforcement customers. TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations. Success in this role requires strong technical depth, the initiative to operate with minimal direction, creativity to develop novel solutions, and a mission-focused mindset. TRSS Data Scientists support the full range of Federal Law Enforcement missions including, but not limited to: Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, Transnational Crime, and more. Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof-of-concept projects and capabilities briefings. This opportunity is specifically for positions located on US Government customer sites in the Merrifield, Crystal City and DC area. This is not a telework position. We recruit from a broad range of disciplines and experience. If you are passionate about the chance to put your Data Science skills to practice in support of Federal Law Enforcement, then we are looking for you! Key Responsibilities Data Scientists in this role will support Federal Law Enforcement missions by applying technical expertise to complex investigative and operational challenges. Responsibilities include: • Collect, integrate, clean, verify, resolve, and maintain large and complex datasets. • Analyze data using statistical methods, graph networks, anomaly detection, spatial analysis, pattern-of-life analysis, sentiment analysis, and related techniques. • Develop and apply data models, including risk models, community detection, classification, computer vision, machine learning, and artificial intelligence models. • Translate data findings into actionable insights through dashboards, visualizations, briefings, and clear explanations for technical and non-technical audiences. • Write, edit, customize, and execute Python code to support mission requirements. • Use SQL for data extraction, pipelining, exploration, and analysis. • Work directly with customers to understand problem statements, define project goals, develop methods, and deliver results within required timeframes. • Contribute to internal innovation, research and development, shared capabilities, technical skill development, and business development efforts such as proof-of-concept projects and capabilities briefings. Required Qualifications • United States Citizenship, as required to comply with government contract requirements. • Ability to obtain and maintain a U.S. security clearance or agency work suitability determination, as required by assignment. • Willingness to work full time on-site at U.S. Government customer sites in the Merrifield, Crystal City and DC area. This is not a telework position. • Bachelor’s or Master’s degree in a technical field, such as data science, statistics, computer science, mathematics, physical or biological sciences, geographic information systems, or a related discipline. • At least 3 years of relevant experience in data management, data analysis, data modeling, data storytelling, programming, SQL, or related technical areas. • Practical experience writing, editing, customizing, and executing code in Python. • Experience using SQL for data extraction, pipelining, exploration, or analysis. • Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements. • Ability to interface directly with customers at all levels and represent TRSS professionally. • Ability to work independently and collaboratively with Data Scientists, Subject Matter Expert Analysts, Data Engineers, and cross-disciplinary teams. Advanced degrees may be considered as a substitute for experience: a Master’s degree in a related field may substitute for two years of experience, and a PhD or equivalent in a related field may substitute for four years of experience. Preferred Qualifications Preference will be given to candidates who meet the required qualifications and also bring one or more of the following: • Current/Active government work suitability or security clearance. • Experience working with law enforcement agencies. • Programming skills in multiple languages other than Python (Python is a minimum requirement) including R, Java, or SQL. • Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, and interacting with REST APIs. • #LI-SW1 What’s in it For You? • Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected. • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition Description from Thomson Reuters' public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/data-scientist-thomson-reuters-bb78fd2f) and use Apply now there to reach the employer's application. The listing is re-checked against Thomson Reuters' careers page daily and removed when it closes. ## Thomson Reuters 17 open analyst roles on Real Analyst Jobs. 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