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Senior Data Scientist - Consulting

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Harnham - Data and Analytics Recruitment
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 75000 - 85000 GBP Yearly GBP 75000.00 85000.00 YEAR
Job Description & How to Apply Below
Senior Data Scientist

London | £75,000 - £85,000

This is an excellent opportunity for a Senior Data Scientist to join a growing technology business at a key stage of its journey. You'll work on high-impact machine learning projects, help shape analytical best practice, and see your work directly influence product development and client outcomes.

The Company

They are a data-driven SaaS business that helps organisations make better commercial decisions through advanced analytics and machine learning. Their products support businesses across a variety of consumer-focused sectors, transforming complex datasets into practical insights. With an expanding client base and ambitious growth plans, they are continuing to invest in their Data Science capability and product innovation.

The Role
  • Build and deploy machine learning models across forecasting, customer segmentation, and propensity modelling
  • Own projects across the full model lifecycle, from data exploration and feature engineering through to deployment and monitoring
  • Partner with Product, Engineering, and commercial teams to deliver scalable analytical solutions
  • Translate complex findings into clear, actionable recommendations for stakeholders
  • Support the development of data science standards, validation frameworks, and best practices
  • Mentor junior team members and contribute to a collaborative data science culture
Your Skills & Experience
  • Strong commercial experience in Data Science and Machine Learning
  • Advanced Python and SQL skills with experience building production-ready models
  • Expertise across forecasting, predictive modelling, customer segmentation, and classification techniques
  • Experience working with AI-assisted development tools such as Git Hub Copilot, Claude, Codex, or similar to improve productivity and code quality
  • Understanding of LLM applications, prompt engineering, and practical AI use cases within analytics workflows
  • Excellent stakeholder management skills with the ability to translate technical outputs into clear business recommendations
Position Requirements
10+ Years work experience
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