Senior Data Scientist
Location: UK Remote
Salary: £60,000 - £70,000
Employment Type: Full-Time
Please note: Sponsorship is not available for this position.
Overview
A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products.
This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence.
The Role
As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices.
You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value.
Key Responsibilities
Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems
Apply generative AI and NLP techniques to improve modelling and data extraction capabilities
Perform large-scale data analysis and transformation using SQL and cloud-native technologies
Design and execute experimentation, benchmarking, and model validation frameworks
Translate business and product challenges into scalable, data-driven solutions
Collaborate with Engineering teams to productionise models and APIs
Maintain best practices across reproducibility, explainability, and responsible AI
Contribute to the development of knowledge-based and ontology-driven systems
Required Skills & Experience
Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics
Strong Python and SQL skills
Experience building models across NLP, prediction, optimisation, classification, or recommender systems
Familiarity with embeddings, LLMs, and prompt engineering
Experience working within AWS and/or Azure cloud environments
Understanding of experimentation design, model validation, and reproducibility best practices
Experience supporting model deployment into production environments
Strong analytical and problem-solving skills
Excellent communication and stakeholder engagement skills
Technology Stack
Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs
What's on Offer
Fully remote UK-based role
Opportunity to work on cutting-edge AI and machine learning products
Collaborative, research-driven environment
Exposure to modern AI, NLP, and cloud technologies
Strong career development opportunities within a growing AI function
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