Senior Data Scientist – Editorial & News Products
Thomson Reuters
About the role
Senior Data Scientist – Editorial & News 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 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.
About the Role
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 non‑technical 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.
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.
- 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., GPT style or open source 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.
#LI-JB2
What’s in it For You?
- Hybrid Work Model: Flexible hybrid working environment (2‑3 days a week in the office depending on the role) while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work‑Life Balance: Flex My Way policies to help manage personal and professional responsibilities, including work from anywhere for up to 8 weeks per year.
- Career Development and Growth: Grow My Way programming and a skills‑first approach to support continuous learning, skill development, and leadership in an AI‑enabled future.
- Industry Competitive Benefits: Flexible vacation, two company‑wide Mental Health Days off, Headspace app access, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Award‑winning reputation for inclusion, belonging, flexibility, and work‑life balance. Values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Two paid volunteer days off annually, pro‑bono consulting projects, and ESG initiatives through the Social Impact Institute.
- Making a Real‑World Impact: Contribute to justice, truth, and transparency by helping customers uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information worldwide.
Compensation
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 locations: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC.
- Base compensation range: $158,000 USD – $293,000 USD (varies by location).
- Base pay is positioned within the range based on knowledge, skills, experience, and internal equity.
- 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.
Equal Employment Opportunity
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. 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 may include sign‑language interpreters, accessible interview rooms, assistive technology, or other relevant accommodations. This email is not intended for general recruitment questions; 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.
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., GPT style or open source 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
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free