Midlands / Hybrid / Remote.
Negotiable Salary Depending On Experience.
We're looking for a talented Applied Data Scientist to support the next phase of AI-enabled digital product suite.
Key Responsibilities Include
* Exploring, analysing and interpreting large, complex and diverse datasets to uncover insights and opportunities for AI-driven improvement.
* Designing, building, evaluating and optimising machine learning, deep learning and generative AI models for real-world service applications.
* Collaborating with engineers, product managers, designers and policy stakeholders to translate user needs into scalable AI solutions.
* Contributing to AI-enabled capabilities such as intelligent automation, natural language understanding, prediction and decision support.
* Ensuring responsible, ethical and secure use of AI and data aligned with governance, privacy and public sector standards.
* Communicating technical findings, model behaviour and limitations clearly to both technical and non-technical audiences.
* Supporting experimentation, evaluation and continuous improvement of AI systems in production environments.
* Staying current with emerging AI research, tooling, model capabilities and best practice.
Experience & Skills
* Strong proficiency in Python for data science, machine learning and AI development.
* Experience developing and deploying machine learning or deep learning models.
* Knowledge of natural language processing, transformers or generative AI techniques.
* Solid grounding in statistics, probability and experimental design.
* Experience working with large datasets using SQL or cloud data platforms.
* Ability to explain complex AI concepts to diverse technical and non-technical stakeholders.
* Experience collaborating within multidisciplinary digital or product teams.
* Clear commitment to ethical, transparent and responsible AI development.
* Comfort working in fast-moving, evolving and sometimes ambiguous environments.
Desirable (but Not Essential)
* Experience working with large language models via APIs or open-source frameworks.
* Fine-tuning or evaluating generative AI systems.
* Knowledge of MLOps, monitoring and lifecycle management.
* Experience with cloud AI/ML services and scalable data platforms.
* Exposure to reinforcement learning, graph machine learning or advanced deep learning techniques.
* Data visualisation or decision-intelligence tooling experience.
* Experience within government, public sector or other regulated environments.
* Mentoring colleagues or supporting wider AI capability development.
This is a unique opportunity to shape how AI is applied across the organisation and help shape the business AI journey.
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