Data Scientist

Data Scientist

📍 Location: London (Hybrid)

💼 Type: Permanent

💰 Salary: Up to £90,000

The Opportunity

We’re working with a globally recognised research and analytics organisation that is looking to hire a Data Scientist to support the development of advanced risk analytics and machine learning solutions.

This is an exciting opportunity to work on large-scale data challenges, helping deliver insights and predictive models used by major organisations across financial services, professional services, and investment markets.

The Role

You’ll work closely with economists, analysts, developers, and data scientists to design, build, and deploy quantitative models that drive analytics and decision-making.

The role combines machine learning, NLP, data engineering, and research, making it ideal for someone who enjoys working across both technical delivery and commercial problem solving.

Key Responsibilities

• Develop and deploy machine learning and NLP models
• Build and maintain scalable data and ML pipelines
• Analyse structured and unstructured datasets to generate actionable insights
• Design and optimise predictive and risk models
• Collaborate with analysts, economists, and developers across multiple teams
• Explain technical outputs and methodologies to non-technical stakeholders
• Support experimentation, model tracking, and continuous improvement initiatives
• Contribute to the development of AI and analytics capabilities

What We’re Looking For

• Strong experience working with large datasets and quantitative analysis
• Commercial experience with Python, R, and relevant ML libraries
• Experience developing and monitoring machine learning or NLP models
• Understanding of software engineering best practices including testing and version control
• Knowledge of SQL and database technologies
• Strong analytical and problem-solving skills
• Ability to communicate technical concepts clearly to a range of stakeholders
• Experience working in collaborative or agile environments

Nice to Have

• Exposure to AWS, Databricks, or Snowflake
• Experience with NLP, generative AI, or computational social science methods
• Familiarity with MLFlow, Weights & Biases, or similar tools
• Knowledge of time series forecasting, simulation modelling, or stress testing

Why Apply

• Opportunity to work on cutting-edge AI and analytics projects
• Exposure to complex global market and risk datasets
• Collaborative and research-driven environment
• Strong learning and development opportunities
• Hybrid working model based in London