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 £500-550 per day (Outside IR35)
*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