Senior Data Scientist – Editorial & News Products

Senior Data Scientist , Election and Editorial Products 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 Reuters' U.S. Elections product .  Heading into the 2026 midterms , you will focus on building Reuters ' expected vote model and on the quality control of election results data flowing in from across the United States. Looking ahead to the 2028 presidential cycle, you will help us build out a broader suite of elections data products that power newsroom decisions and inform our readers . In this role, y ou will partner closely with the Director of U.S. Elections , the newsroom , and engineering on work that is high-visibility and deadline-driven . About the Role As a Senior Data Scientist, U.S. Elections , you will: Partner with  editorial leaders, newsroom stakeholders, and product managers  to translate editorial goals into data science problems and measurable outcomes. Develop and refine Reuters' expected vote model , and design the data quality controls that catch anomalies in incoming results from counties and states across the U . S. Help shape the roadmap for Reuters' elections data products heading into the 2028 presidential cycle, partnering with editorial, engineering, and product to expand our offerings . Design, build, and deploy  machine learning and statistical models  that support editorial news products. Design and maintain data pipelines and feature stores in collaboration with engineering teams. 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 rigor and responsible AI. Stay current with advances in  AI for media and news products , and help drive their responsible adoption across the organization. About You You are a strong candidate for this role if you have: 6–10 years of experience  in data science, machine learning, or applied AI, with a strong track record of production delivery. Prior experience working with U.S. elections data — ideally on a previous election cycle — and a working familiarity with concepts such as expected vote, swing states, opinion polling, voting patterns, and vote types (absentee, early, mail-in) at the county and state level. 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) . 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. 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. 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 . Please Note: Complete applications must be submitted by Sunday 31st May 2026. #LI-JB2 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 & ... (truncated, view full listing at source)