Data Scientist

As a Data Scientist, you'll design, build, and deploy quantitative models that power advanced insights across global markets and risk themes. You'll work alongside multidisciplinary specialists - from economists and political analysts to developers and fellow data scientists - to develop scalable models and pipelines, enhance analytics capabilities, and contribute to new product development. Client Details The client is a global leader in economic, political, and industry intelligence, known for delivering rigorous, data-driven insights to major organisations worldwide. They combine deep domain expertise with advanced analytics and modern data science to help customers understand and manage complex global risks. Description • Prototyping and testing new methods for extracting insights from structured and unstructured datasets • Developing and maintaining scalable ML and data pipelines for experimentation and deployment • Designing and improving risk models for analytical and generative AI applications • Using proprietary NLP-driven data to enhance modelling and insights • Collaborating with analysts, economists, political scientists, industry specialists, and developers • Communicating model methodologies and outputs to non-technical stakeholders Profile Essential: • Strong experience querying, cleaning, and analysing large datasets • Hands-on capability with computational social science methods (NLP, text analysis, ML, visualisation, forecasting) • Experience with Python and/or R, plus common data/ML libraries • Proven experience developing, refining, and monitoring NLP models • Familiarity with SQL, APIs, cloud storage, or related tools (preferred, not essential) • Understanding of model evaluation techniques and metrics • Ability to translate conceptual ideas into research designs and features • Exposure to experiment-tracking tools (e.g., Weights & Biases, DVC) • Experience applying interpretable and explainable AI techniques Desireable: • Experience with cloud-based analytics platforms (AWS, DataBricks, Snowflake, etc.) • Advanced degree or certification in ML, NLP, or a related field • Knowledge of DevOps tooling and best practices • Experience with MLFlow, Weights & Biases, or similar experimentation frameworks • Strong stakeholder or customer-facing communication skills • Demonstrated impact of your models on business or research outcomes Job Offer • Competitive daily rate between £500-600 per day. • Work on globally relevant, real-world risk and market challenges • Build models with high visibility and tangible impact • Collaborate with respected experts across multiple disciplines • Enjoy flexible working arrangements in Canary Wharf • Secure a well-paid contract with the potential for long-term extension