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

Job Details

Company
Michael Page Technology
Location
London, South East, England, United Kingdom
Employment Type
Temporary
Salary
£500 - £600 per day
Posted