Thomson Reuters
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Data Scientist
role at
Thomson Reuters .
About The Role The Data Scientist will be responsible for managing, understanding, and analyzing in‑house and customer data—including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement, and other related activities. This individual will work closely with the TRSS Analysts to drive, identify, evaluate, design, and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers, and existing product offerings. Successful candidates will have the opportunity to contribute directly to the features and capabilities deployed in our applications. They will work with customers to assist in gathering requirements, contributing to Statements of Work (SOWs) for new sales or POCs, and executing design post‑sale while getting deeply involved in the delivery of proposed solutions. The role interfaces with the customer and provides continuity of technical and data‑exploration expertise to ensure a workable solution.
Key Responsibilities
Collaborate with scientists, product groups, and content groups to perform big‑data aggregations, symbology mapping, and manipulations of important data‑sets.
Perform statistical (and machine‑learned) analyses on data to serve business purposes.
Narrate stories to a non‑technical audience about our content and processes by data analysis and visualization.
Define and develop software for analysis and manipulation of large and very large data‑sets.
Guide the architecture of big‑data business processes with an eye toward robustness, parsimony, and reproducibility.
Work with interdisciplinary engineering and research teams on designing, building, and deploying data analysis systems for large data sets.
Work closely with customers to apply data science to their mission‑specific content.
Create algorithms to extract information from large data sets.
Establish scalable, efficient, automated processes for model development, validation, implementation, and large‑scale data analysis.
Develop metrics and prototypes that can be used to drive business decisions.
Provide thought leadership and dependable execution on diverse projects.
Identify emerging trends and opportunities for future client growth and development.
Research and identify AI methods—including ML and NLP methods—and explore new applications of AI in the context of Thomson Reuters and TRSS content sets.
About You
A bachelor’s or master’s degree in a quantitative field (e.g., statistics, computer science, mathematics, physical/biological sciences, or GIS).
3‑5 years of experience with data cleaning, analysis, programming, and reporting results to internal or external stakeholders (education can substitute for some years).
Programming skills in one or more major languages (Python, R, Java).
Creative, intellectually curious, and willing to experiment and work in dynamic organizations with little oversight.
Ability to take ownership of accountability areas, especially technical and data design integrity.
Good understanding of distributed computing concepts.
Experience facilitating input from subject matter experts.
Excellent understanding of ML, NLP, and statistical methodologies.
Ability to test ideas and adapt methods quickly from data extraction to implementation and validation.
Strong planning, time management, and organizational skills.
Team player / self‑starter mentality with initiative.
Ability to obtain and maintain a U.S. national security clearance.
Additional Desired Skills
Big Data analytics experience (preferred).
Experience with data modeling for graphs (preferred).
Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies (preferred).
What’s in it for You?
Hybrid work model: flexible hybrid working environment (2‑3 days a week in the office).
Flexibility & work‑life balance: Flex My Way policies, work from anywhere up to 8 weeks a year.
Career development: Grow My Way programming and skills‑first approach.
Industry‑competitive benefits: flexible vacation, mental health days, Headspace, retirement savings, tuition reimbursement, employee incentive programs, and wellness resources.
Culture: inclusive, flexible work‑life balance and values of customer obsession and learning.
Social impact: paid volunteer days and ESG initiatives.
Real‑world impact: support justice, truth, and transparency worldwide.
In the United States, Thomson Reuters offers a comprehensive benefits package that includes market‑competitive health, dental, vision, disability, and life insurance programs, a competitive 401(k) plan with company match, and paid time off that exceeds state and municipal laws. Additional optional benefits include hospital, accident and sickness insurance, life & AD&D, Flexible Spending and Health Savings Accounts, fitness reimbursement, Employee Assistance Program, group legal identity theft protection, 529 plan, commuter benefits, adoption & surrogacy assistance, tuition reimbursement, and Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. Base compensation ranges vary by location.
About Us Thomson Reuters informs the way forward by bringing together 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 specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions and help institutions pursue justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world‑leading provider of trusted journalism and news.
Equal Employment Opportunity We are an Equal Employment Opportunity Employer providing a drug‑free workplace. We seek talented, qualified employees regardless of race, color, sex/gender, pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any protected classification under applicable law.
Accommodations for Applicants with Disabilities Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans, 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, please contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Accommodation may include sign language interpreter, accessible interview rooms, assistive technology, or other relevant accommodations.
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Data Scientist
role at
Thomson Reuters .
About The Role The Data Scientist will be responsible for managing, understanding, and analyzing in‑house and customer data—including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement, and other related activities. This individual will work closely with the TRSS Analysts to drive, identify, evaluate, design, and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers, and existing product offerings. Successful candidates will have the opportunity to contribute directly to the features and capabilities deployed in our applications. They will work with customers to assist in gathering requirements, contributing to Statements of Work (SOWs) for new sales or POCs, and executing design post‑sale while getting deeply involved in the delivery of proposed solutions. The role interfaces with the customer and provides continuity of technical and data‑exploration expertise to ensure a workable solution.
Key Responsibilities
Collaborate with scientists, product groups, and content groups to perform big‑data aggregations, symbology mapping, and manipulations of important data‑sets.
Perform statistical (and machine‑learned) analyses on data to serve business purposes.
Narrate stories to a non‑technical audience about our content and processes by data analysis and visualization.
Define and develop software for analysis and manipulation of large and very large data‑sets.
Guide the architecture of big‑data business processes with an eye toward robustness, parsimony, and reproducibility.
Work with interdisciplinary engineering and research teams on designing, building, and deploying data analysis systems for large data sets.
Work closely with customers to apply data science to their mission‑specific content.
Create algorithms to extract information from large data sets.
Establish scalable, efficient, automated processes for model development, validation, implementation, and large‑scale data analysis.
Develop metrics and prototypes that can be used to drive business decisions.
Provide thought leadership and dependable execution on diverse projects.
Identify emerging trends and opportunities for future client growth and development.
Research and identify AI methods—including ML and NLP methods—and explore new applications of AI in the context of Thomson Reuters and TRSS content sets.
About You
A bachelor’s or master’s degree in a quantitative field (e.g., statistics, computer science, mathematics, physical/biological sciences, or GIS).
3‑5 years of experience with data cleaning, analysis, programming, and reporting results to internal or external stakeholders (education can substitute for some years).
Programming skills in one or more major languages (Python, R, Java).
Creative, intellectually curious, and willing to experiment and work in dynamic organizations with little oversight.
Ability to take ownership of accountability areas, especially technical and data design integrity.
Good understanding of distributed computing concepts.
Experience facilitating input from subject matter experts.
Excellent understanding of ML, NLP, and statistical methodologies.
Ability to test ideas and adapt methods quickly from data extraction to implementation and validation.
Strong planning, time management, and organizational skills.
Team player / self‑starter mentality with initiative.
Ability to obtain and maintain a U.S. national security clearance.
Additional Desired Skills
Big Data analytics experience (preferred).
Experience with data modeling for graphs (preferred).
Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies (preferred).
What’s in it for You?
Hybrid work model: flexible hybrid working environment (2‑3 days a week in the office).
Flexibility & work‑life balance: Flex My Way policies, work from anywhere up to 8 weeks a year.
Career development: Grow My Way programming and skills‑first approach.
Industry‑competitive benefits: flexible vacation, mental health days, Headspace, retirement savings, tuition reimbursement, employee incentive programs, and wellness resources.
Culture: inclusive, flexible work‑life balance and values of customer obsession and learning.
Social impact: paid volunteer days and ESG initiatives.
Real‑world impact: support justice, truth, and transparency worldwide.
In the United States, Thomson Reuters offers a comprehensive benefits package that includes market‑competitive health, dental, vision, disability, and life insurance programs, a competitive 401(k) plan with company match, and paid time off that exceeds state and municipal laws. Additional optional benefits include hospital, accident and sickness insurance, life & AD&D, Flexible Spending and Health Savings Accounts, fitness reimbursement, Employee Assistance Program, group legal identity theft protection, 529 plan, commuter benefits, adoption & surrogacy assistance, tuition reimbursement, and Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. Base compensation ranges vary by location.
About Us Thomson Reuters informs the way forward by bringing together 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 specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions and help institutions pursue justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world‑leading provider of trusted journalism and news.
Equal Employment Opportunity We are an Equal Employment Opportunity Employer providing a drug‑free workplace. We seek talented, qualified employees regardless of race, color, sex/gender, pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any protected classification under applicable law.
Accommodations for Applicants with Disabilities Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans, 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, please contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Accommodation may include sign language interpreter, accessible interview rooms, assistive technology, or other relevant accommodations.
#J-18808-Ljbffr