Senior Data Scientist - Consulting

Harnham - Data and Analytics Recruitment; Greater London; On-site; GBP 75,000 - 85,000; Full time

Job summary

Harnham - Data and Analytics Recruitment is seeking a Senior Data Scientist in London to shape advanced machine learning initiatives and drive impact across products and client outcomes.

You will own end-to-end model development, collaborate with Product, Engineering, and commercial teams, and mentor junior colleagues in a growth-focused data science environment.

Qualifications

• Strong commercial experience in Data Science and Machine Learning.
• Advanced Python and SQL skills with production-ready models.
• Understanding of forecasting, customer segmentation, and classification techniques.

Responsibilities

• Build and deploy machine learning models across forecasting, customer segmentation, and propensity modelling.
• Own projects across the full model lifecycle from data exploration 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 development of data science standards, validation frameworks, and best practices.
• Mentor junior team members and contribute to a collaborative data science culture.

Skills

Data Science

Machine Learning

Python

SQL

Forecasting

Stakeholder Management

Job description

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 GitHub 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