Senior Data Scientist

Harnham - Data and Analytics Recruitment; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Harnham - Data and Analytics Recruitment is seeking a Senior Data Scientist for a remote role (UK or EU), building applied Generative AI products. You will shape how synthetic data and LLMs are used in real-world environments with high autonomy from day one.

The role involves designing and deploying Gen AI solutions, collaborating with product and engineering, ensuring data quality, and communicating complex concepts to stakeholders.

Qualifications

• 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.

Responsibilities

• 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

Skills

Generative AI in prod

LLMs

NLP

Text generation

Statistics

Experiment design

Python

SQL

Data handling

Stakeholder communication

Job description

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