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Dogs Trust in London is seeking an experienced Data Scientist to join the IT Data Engineering team. You will turn complex data into insights, predictions and practical recommendations that help the charity make better decisions and deliver greater impact for dogs and animal welfare.
You will develop propensity and segmentation models, apply advanced machine learning techniques, and lead end-to-end analytics projects.
Application Deadline: 16 November 2026
Department: IT
Employment Type: Permanent - Full Time
Location: London
Compensation: £60,000 per year + benefits
Are you an experienced Data Scientist who is passionate about using data, advanced analytics and machine learning to improve business decision-making — and ultimately help deliver greater impact for dogs and animal welfare?
We’re looking for a Data Scientist to join our Data Engineering team, turning complex data into insight, predictions and practical recommendations that help Dogs Trust make better decisions.
Screening calls for this role are provisionally scheduled for week commencing 23rd November 2026, with panel interviews the following week.
You’ll combine strong Data Science and analytical skills with business thinking and excellent stakeholder management. We’re particularly interested in how you’ve used data to solve real problems, influence decisions and deliver tangible outcomes. Your experience could come from any sector. What matters is your ability to understand a business challenge, identify where advanced analytics can add value and communicate your recommendations clearly. At Dogs Trust, you’ll use Data Science to help us work smarter, make better decisions and ultimately deliver greater impact for dogs and animal welfare.
You’ll be part of a skilled and supportive IT team that values curiosity, creativity, and collaboration. We work across a variety of exciting initiatives; from developing digital platforms that help dog owners to enhancing volunteer and data systems that expand our impact. Our culture is friendly, flexible, and purpose-driven, with most of your time spent working from home and regular, focused collaboration days in our London office. It’s an environment where people share ideas, learn from each other, and take pride in building technology that truly makes a difference.