Applied Data Scientist

Applied Data Scientist.

Excellent salary plus benefits.

Midlands / Hybrid / Remote.

Negotiable salary depending on experience.

We’re now looking for a talented Applied Data Scientist to support the next phase of AI-enabled digital product suite.

This is an opportunity to design, develop and deliver intelligent, data-driven services that are simpler, clearer and faster and that genuinely meet user needs at national scale.

You’ll play a key role in exploring complex datasets, building production-ready machine learning and generative AI solutions, and working closely with multidisciplinary teams to translate real user problems into impactful AI capabilities.

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 with in 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