Senior Data Scientist

Senior Data Scientist
Remote (UK or EU)

This is a rare opportunity to join a newly formed team building applied Generative AI products that sit at the heart of a company's future data and insights strategy. You will play a senior, hands-on role shaping how synthetic data and LLMs are used in real-world, commercial environments, with high autonomy and clear ownership from day one.

The Company
They are a global technology business operating at the intersection of data, research, and AI. Their platform enables organisations to generate high-quality insights using large-scale, consented data, and they are now investing heavily in AI-driven innovation. With strong backing and a clear product roadmap, they are focused on responsibly augmenting human data with advanced machine learning and synthetic intelligence.

The Role

• Design, build, and deploy Generative AI and LLM-based solutions for synthetic data generation and data augmentation
• Develop and validate statistical and machine learning methodologies to ensure data quality, reliability, and trust
• Work closely with Product and Engineering to take models from experimentation through to production
• Build systems that enhance real-world data rather than replace it, including open-text and structured outputs
• Communicate complex technical concepts clearly to non-technical stakeholders and external clients
• Operate end to end across problem definition, modelling, validation, and delivery

Your Skills and Experience

• Strong commercial experience applying Generative AI and Large Language Models in production environments
• Deep knowledge of NLP, text generation, and modern machine learning techniques
• Excellent grounding in statistics, experimental design, and model validation
• Expert Python skills within a data science or machine learning stack, plus strong SQL
• Experience working with large, complex datasets and collaborating with engineering teams
• Confidence explaining methodology, limitations, and impact to a broad range of stakeholders
• Exposure to synthetic data, prompt engineering, RAG, or cloud-based data platforms is beneficial but not essential