Data Scientist – London

Data Scientist – London

This is an exciting opportunity for a Data Science professional to join a leading Analytics department within the Financial Services industry. Based in London, you will play a key role in driving data-driven decision-making and developing innovative solutions.

Responsibilities

• Build and deploy machine learning models used in real-world applications
• Work with both structured data and text (NLP) to generate insights
• Design and maintain data pipelines and production-ready systems
• Apply statistical methods to evaluate models and ensure reliability
• Collaborate with domain experts to solve complex analytical problems
• Communicate findings clearly to both technical and non-technical stakeholders

Qualifications

• Hands-on and practical experience building models, and making them usable
• Ability to think quantitatively and statistically, not just in terms of tools
• Comfortable working across data, models, and production systems
• Ability to clearly explain your work and translate complex ideas into simple insights
• Strong Python skills, with the ability to write clean, production-quality code
• Solid grounding in statistics (not just surface-level understanding)
• Experience with machine learning, including classical models and some modern NLP approaches
• Experience building models that are actually used in production
• Comfortable working with real-world, messy datasets
• Familiarity with data pipelines, deployment, and maintaining ML systems
• Experience with NLP / text modelling (e.g. classification, embeddings, transformers)
• Exposure to finance, economics, or risk-related data

Benefits

• Competitive salary ranging from £75,000 to £90,000 per year + company benefits
• Standard benefits package to support your professional and personal growth
• Permanent role offering stability and career progression opportunities
• Opportunity to work in the heart of London within the Financial Services industry
• Part of a well-established organisation with a focus on analytics and innovation

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