Data Science Engineer Jobs at Thomson Reuters with Visa Sponsorship
Data Science Engineer roles at Thomson Reuters sit at the intersection of legal data infrastructure, AI-driven analytics, and enterprise software. Thomson Reuters has a track record of sponsoring work visas for qualified data science talent, making it a realistic target if you're building a U.S. career in this space.
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INTRODUCTION
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
Data & Analytics (ML-Enabled Systems)
We experiment, we build, we deliver. We support the organization and our product teams through foundational research and development of new products and technologies. Thomson Reuters Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects while investing in long-term research for the future.
About the Role:
Are you passionate about building data infrastructure that powers cutting-edge AI evaluation systems? Thomson Reuters Labs is seeking a Data Engineer to join our AI data, evaluation, and governance team and help shape how we measure, monitor, and improve AI-powered legal products.
In this role as a Data Engineer, you will:
-
Build & Deploy Product Analytics Infrastructure: Design and implement scalable data pipelines and analytics systems that transform customer feedback and product traces into actionable insights across AI-powered legal products.
-
Enable AI Evaluation at Scale: Build data workflows to enable the deployment of automated evaluation metrics as production analytics to continuously track product quality, detect errors, and alert teams to regressions before they impact customers.
-
Establish Data Governance & Quality Standards: Develop technical governance infrastructure for manual and automated review of AI product data, particularly for small and medium law firms, ensuring data quality, security, and compliance.
-
Drive Metric Development: Analyze product traces and customer feedback to identify quality issues and patterns that inform the development of new evaluation metrics and feed into product roadmap decisions.
-
Support Cross-Functional Teams: Partner closely with Product Scientists, Research Engineers, and Subject Matter Experts to implement configurations, build reporting dashboards, and create self-service tools for metric implementation.
-
Advance AI Evaluation Best Practices: Contribute to the development and scaling of automated evaluation capabilities and establish best practices for AI evaluation and analytics across Thomson Reuters pillars (Legal, Tax & Accounting, and Reuters News).
About You:
You are a data engineering professional who thrives at the intersection of infrastructure, analytics, and AI systems. You understand that great AI products require great measurement, and you're excited to build the systems that make that possible.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or related technical field
- 8+ years of professional experience in data engineering, analytics engineering, or related roles
- Strong programming skills in Python and SQL with experience building production data pipelines
- Hands-on experience with modern data stack technologies (e.g., Snowflake, AWS, PowerBI, or similar orchestration, transformation, or analytics tools)
- Experience with cloud platforms (e.g., AWS, or similar) and their data services
- Proven ability to design and implement scalable ETL/ELT pipelines for structured and unstructured data
- Experience with data warehousing, data modeling, and analytics infrastructure
- Strong understanding of data governance, data quality, and security best practices
- Excellent communication skills to collaborate with cross-functional teams including scientists, engineers, product managers, and subject matter experts
- Self-driven attitude with ability to manage projects independently and meet deadlines
Core Technical Skills (Must-Have)
-
Snowflake, Power BI, SQL, Python
-
ETL/ELT pipelines, data lakes, AWS/cloud
Analytics & Data (Critical)
-
Experience with customer data, user behavior, and product analytics
-
Ability to build dashboards, define KPIs, and deliver insights
ML / AI Data (Required)
-
Experience working with AI/ML data (prompts, model outputs, evaluation datasets)
-
Ability to analyze and monitor AI performance
-
Familiarity with LLMs is a plus (not required)
-
Not a model-building role — focus is on analyzing AI data
Data Governance
- Experience with data quality, governance, and handling sensitive data (PII)
Automation & Scale
- Build automated, scalable data pipelines and workflows
Preferred Qualifications:
- Experience with AI/ML systems, particularly in evaluation, monitoring, or observability
- Familiarity with LLM applications and challenges in measuring generative AI quality
- Experience building analytics for customer-facing products or SaaS applications
- Knowledge of data visualization tools (e.g., PowerBI, Streamlit, Snowflake)
- Experience working with product analytics or user behavior data
- Background in building self-service analytics or internal tooling
- Understanding of legal, compliance, or regulated industry data requirements
- Experience with real-time data processing and alerting systems
What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) 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 reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceed the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.
Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $146,800 USD - $272,600 USD.
For any eligible US locations, unless otherwise noted, the base compensation range for this role is $127,400 USD - $236,600 USD.
For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD.
Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
About us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our 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.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com.

INTRODUCTION
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
Data & Analytics (ML-Enabled Systems)
We experiment, we build, we deliver. We support the organization and our product teams through foundational research and development of new products and technologies. Thomson Reuters Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects while investing in long-term research for the future.
About the Role:
Are you passionate about building data infrastructure that powers cutting-edge AI evaluation systems? Thomson Reuters Labs is seeking a Data Engineer to join our AI data, evaluation, and governance team and help shape how we measure, monitor, and improve AI-powered legal products.
In this role as a Data Engineer, you will:
-
Build & Deploy Product Analytics Infrastructure: Design and implement scalable data pipelines and analytics systems that transform customer feedback and product traces into actionable insights across AI-powered legal products.
-
Enable AI Evaluation at Scale: Build data workflows to enable the deployment of automated evaluation metrics as production analytics to continuously track product quality, detect errors, and alert teams to regressions before they impact customers.
-
Establish Data Governance & Quality Standards: Develop technical governance infrastructure for manual and automated review of AI product data, particularly for small and medium law firms, ensuring data quality, security, and compliance.
-
Drive Metric Development: Analyze product traces and customer feedback to identify quality issues and patterns that inform the development of new evaluation metrics and feed into product roadmap decisions.
-
Support Cross-Functional Teams: Partner closely with Product Scientists, Research Engineers, and Subject Matter Experts to implement configurations, build reporting dashboards, and create self-service tools for metric implementation.
-
Advance AI Evaluation Best Practices: Contribute to the development and scaling of automated evaluation capabilities and establish best practices for AI evaluation and analytics across Thomson Reuters pillars (Legal, Tax & Accounting, and Reuters News).
About You:
You are a data engineering professional who thrives at the intersection of infrastructure, analytics, and AI systems. You understand that great AI products require great measurement, and you're excited to build the systems that make that possible.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or related technical field
- 8+ years of professional experience in data engineering, analytics engineering, or related roles
- Strong programming skills in Python and SQL with experience building production data pipelines
- Hands-on experience with modern data stack technologies (e.g., Snowflake, AWS, PowerBI, or similar orchestration, transformation, or analytics tools)
- Experience with cloud platforms (e.g., AWS, or similar) and their data services
- Proven ability to design and implement scalable ETL/ELT pipelines for structured and unstructured data
- Experience with data warehousing, data modeling, and analytics infrastructure
- Strong understanding of data governance, data quality, and security best practices
- Excellent communication skills to collaborate with cross-functional teams including scientists, engineers, product managers, and subject matter experts
- Self-driven attitude with ability to manage projects independently and meet deadlines
Core Technical Skills (Must-Have)
-
Snowflake, Power BI, SQL, Python
-
ETL/ELT pipelines, data lakes, AWS/cloud
Analytics & Data (Critical)
-
Experience with customer data, user behavior, and product analytics
-
Ability to build dashboards, define KPIs, and deliver insights
ML / AI Data (Required)
-
Experience working with AI/ML data (prompts, model outputs, evaluation datasets)
-
Ability to analyze and monitor AI performance
-
Familiarity with LLMs is a plus (not required)
-
Not a model-building role — focus is on analyzing AI data
Data Governance
- Experience with data quality, governance, and handling sensitive data (PII)
Automation & Scale
- Build automated, scalable data pipelines and workflows
Preferred Qualifications:
- Experience with AI/ML systems, particularly in evaluation, monitoring, or observability
- Familiarity with LLM applications and challenges in measuring generative AI quality
- Experience building analytics for customer-facing products or SaaS applications
- Knowledge of data visualization tools (e.g., PowerBI, Streamlit, Snowflake)
- Experience working with product analytics or user behavior data
- Background in building self-service analytics or internal tooling
- Understanding of legal, compliance, or regulated industry data requirements
- Experience with real-time data processing and alerting systems
What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) 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 reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceed the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.
Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $146,800 USD - $272,600 USD.
For any eligible US locations, unless otherwise noted, the base compensation range for this role is $127,400 USD - $236,600 USD.
For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD.
Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
About us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our 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.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com.
See all 28+ Data Science Engineer at Thomson Reuters jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer at Thomson Reuters roles.
Get Access To All JobsTips for Finding Data Science Engineer Jobs at Thomson Reuters Jobs
Align your portfolio to legal data pipelines
Thomson Reuters builds products like Westlaw and CoCounsel, so data science work often involves NLP, document classification, and large-scale legal corpora. Tailor your portfolio projects to show experience with unstructured text, legal document parsing, or enterprise search systems before you apply.
Target roles within the AI platform organization
Thomson Reuters has publicly expanded its AI and data platform teams. Filter your search to Data Science Engineer openings listed under product or platform engineering, where H-1B sponsorship for specialized skills is more consistently offered than in support-adjacent functions.
Confirm LCA filing before signing your offer letter
Before accepting an offer, ask the recruiter whether a Labor Condition Application has been or will be filed with the DOL for your specific role and location. The LCA locks in the prevailing wage and worksite, and changes after filing can complicate your petition.
Prepare for the H-1B cap and plan your timing
If you need a cap-subject H-1B, USCIS registration opens in March and the lottery runs shortly after. Thomson Reuters typically initiates petitions for selected candidates by April. Missing this window means waiting a full year, so have your degree transcripts and employment documents ready before registration opens.
Use Migrate Mate to find open Data Science Engineer roles
Searching broadly across job boards makes it hard to filter for genuine visa sponsors. Use Migrate Mate to browse verified Data Science Engineer openings at Thomson Reuters and similar enterprise technology companies that have a track record of filing H-1B and Green Card petitions.
Understand how EB-2 or EB-3 fits your long-term path
Thomson Reuters sponsors both EB-2 and EB-3 Green Cards for data science roles, which typically require PERM labor certification through the DOL before USCIS adjudicates the immigrant petition. Ask your recruiter early whether the company initiates PERM for this role level.
Data Science Engineer at Thomson Reuters jobs are hiring across the US. Find yours.
Find Data Science Engineer at Thomson Reuters JobsFrequently Asked Questions
Does Thomson Reuters sponsor H-1B visas for Data Science Engineers?
Yes, Thomson Reuters sponsors H-1B visas for Data Science Engineer roles. The company has an established immigration program that handles cap-subject petitions filed with USCIS following the annual lottery in March and April. If you're already on an OPT or STEM OPT extension, Thomson Reuters can typically bridge you through the cap cycle while you remain authorized to work.
Which visa types are commonly used for Data Science Engineer roles at Thomson Reuters?
H-1B is the primary nonimmigrant visa used for Data Science Engineers at Thomson Reuters, as the role qualifies as a specialty occupation requiring a relevant bachelor's degree or higher. For permanent residence, Thomson Reuters uses both EB-2 and EB-3 Green Card pathways, depending on the role's requirements and your qualifications. The EB-2 path is more common for senior-level data science positions.
What qualifications and experience does Thomson Reuters expect for Data Science Engineer roles?
Thomson Reuters typically looks for a bachelor's or master's degree in computer science, statistics, applied mathematics, or a related field. Strong candidates have hands-on experience with machine learning frameworks like PyTorch or TensorFlow, proficiency in Python, and exposure to NLP or large-scale data pipelines. For senior roles, experience shipping production ML systems or working with legal or financial data is a meaningful differentiator.
How do I apply for Data Science Engineer jobs at Thomson Reuters?
You can browse and apply for Data Science Engineer roles at Thomson Reuters through Migrate Mate, which surfaces verified openings from companies with a confirmed sponsorship track record. When you apply, tailor your resume to highlight NLP, data engineering, or AI product experience relevant to Thomson Reuters' legal and tax technology products. Recruiters there typically screen for both technical depth and domain awareness.
How do I plan my timeline if I need H-1B sponsorship at Thomson Reuters?
The H-1B cap registration window opens each March, with lottery results announced shortly after. If selected, USCIS allows petitions to be filed starting April 1 for an October 1 start date. That means you need an offer from Thomson Reuters no later than February or early March to give their legal team time to prepare the filing. If you're on OPT, your start date flexibility gives you more options.
See which Data Science Engineer at Thomson Reuters employers are hiring and sponsoring visas right now.
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