Senior Data Scientist – Editorial & News Products

Thomson Reuters•Washington, DC

1d•$158,000 - $293,000•Hybrid

About The Position

At Thomson Reuters, our mission is to deliver trusted news and insights at global scale. Data and AI are increasingly central to how we support journalists, editors, and product teams in making faster, better informed editorial decisions. We are seeking a Senior Data Scientist with a strong blend of technical expertise, editorial curiosity, and product mindset to work on high impact newsroom and editorial product initiatives. In this role, you will harness advanced machine learning, natural language processing, and generative AI techniques to develop innovative data-driven products that enhance the editorial content offering. These capabilities will enable smarter content creation, automated tagging, improved content discovery, personalised recommendations, and robust performance analytics. By leveraging data science, you will empower newsroom teams to make more informed decisions, streamline workflows, and deliver tailored news experiences to audiences, ensuring that editorial products remain relevant, impactful, and competitive in a rapidly evolving media landscape. As a Senior Data Scientist – Editorial & News Products, you will: Partner with editorial leaders, newsroom stakeholders, and product managers to translate editorial goals into data science problems and measurable outcomes. Work across the editorial lifecycle, including content data product creation, enrichment, curation, distribution, and audience engagement. Design, build, and deploy machine learning and statistical models that support editorial news products. Develop models for content recommendation, personalisation, topic detection, tagging, clustering, and trend identification. Explore, analyse, and prepare complex editorial and audience datasets to generate actionable insights. Design and maintain data pipelines and feature stores in collaboration with engineering teams. Collaborate with data analysts to build dashboards and data stories that help editorial and product teams understand content performance and audience behaviour. Clearly communicate insights, trade-offs, and recommendations to both technical and nontechnical audiences, including newsroom stakeholders. Mentor and coach junior data scientists and analysts, setting best practices for analytical rigour and responsible AI. Stay current with advances in AI for media and news products, and help drive their responsible adoption across the organisation.

Requirements

6–10 years of experience in data science, machine learning, or applied AI, with a strong track record of production delivery.
A degree in a quantitative field such as Computer Science, Statistics, Data Science, or Engineering (or equivalent experience).
Strong proficiency in Python, SQL, and modern data platforms (e.g., Snowflake).
Deep experience with NLP and text-based ML, such as classification, embeddings, topic modelling, sentiment analysis, sequence models, and transfer learning.
Hands-on experience building generative AI solutions using large language models (e.g., GPTstyle or opensource models), including prompt engineering, RAG, and agent-based approaches.
Experience with recommendation systems, information retrieval, search relevance, or personalisation, ideally in content heavy or media-like domains.
Familiarity with AWS-based ML tooling (e.g., SageMaker) and scalable model deployment patterns.
Experience building or collaborating on data pipelines using tools such as AWS Glue or similar orchestration frameworks.
Strong data storytelling and visualisation skills, with experience using Tableau, Power BI, or equivalent tools.
A product-oriented mindset, with the ability to balance editorial quality, user value, and technical feasibility.
Excellent communication skills and the ability to work effectively with journalists, editors, product managers, and engineers.
A genuine interest in journalism, news products, and the responsible use of AI in editorial contexts.

Responsibilities

Partner with editorial leaders, newsroom stakeholders, and product managers to translate editorial goals into data science problems and measurable outcomes.
Work across the editorial lifecycle, including content data product creation, enrichment, curation, distribution, and audience engagement.
Design, build, and deploy machine learning and statistical models that support editorial news products.
Develop models for content recommendation, personalisation, topic detection, tagging, clustering, and trend identification.
Explore, analyse, and prepare complex editorial and audience datasets to generate actionable insights.
Design and maintain data pipelines and feature stores in collaboration with engineering teams.
Collaborate with data analysts to build dashboards and data stories that help editorial and product teams understand content performance and audience behaviour.
Clearly communicate insights, trade-offs, and recommendations to both technical and nontechnical audiences, including newsroom stakeholders.
Mentor and coach junior data scientists and analysts, setting best practices for analytical rigour and responsible AI.
Stay current with advances in AI for media and news products, and help drive their responsible adoption across the organisation.

Benefits

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.
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.
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.

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