PURPOSE OF THE JOB You will be a graduate or have equivalent industry experience in data science, big data, business analytics, computer science, maths or statistical analysis, or related majors with demonstrable experience of data science. As Cochrane’s Data Scientist, you will work with our technology, product and publishing teams to leverage data in supporting the work of Cochrane in advocating for evidence-informed health decision-making worldwide. You will be involved in researching, analysing, presenting results, and recommending intelligent solutions to solve problems and address organisational challenges by applying knowledge of data analysis, critical-thinking skills, and healthcare experience/expertise. You will assist in assessing how data science (including Large Language Models and Artificial Intelligence) can help evolve evidence-based medicine, at the global leader for evidence synthesis. Joining our team means becoming part of a mission to enhance global health through reliable, evidence-based practices. You'll collaborate with dedicated professionals and partners worldwide to ensure health decisions are informed by the best available data. Our core values — collaboration, evidence relevance, transparency, and high standards — guide all our actions. By joining us, you'll contribute to making a significant impact on health outcomes globally. PRINCIPAL ACCOUNTABILITIES/KEY RESULT AREAS · Leveraging machine learning and generative AI technologies to support Cochrane’s strategic aims · Collaborating with team members to identify and address data-related opportunities · Using your experience in analytics tools and scientific rigor to produce actionable insights and/or visualizations that help identify trends or patterns in data PERSON SPECIFICATION Essential · Experience in statistics and data manipulation, including data cleaning, reshaping, and enrichment · Strong understanding of data structures and standards and ability to understand and work with data in a wide range of formats (e.g., XML, JSON, CSV, relational databases, and triple stores) · Experience developing re-usable scripts or packages for statistical or data science platforms (e.g., R, Python, Stata, Julia) · Experience of creating visualizations that effectively communicate complex data insights to stakeholders · Awareness of machine learning techniques Preferable · Experience of user-centric product thinking and/or design · Experience working with web-based APIs · Experience designing data models and data formats · Experience working with metadata annotation, linked data and/or semantic web technologies · Experience of machine learning techniques · Experience of authoring Systematic Reviews, working with Cochrane datasets and/or working with Cochrane Review Manager KEY INTERFACES Internal: Technology, Product, Evidence Pipeline, Production, Methods Support External: Cochrane author teams, vendors/partners DIMENSIONS Budgetary responsibility: N/A Number of direct and indirect reports: N/A