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., 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

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 (eg, 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

• 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