Description:
We are seeking a Senior Data Scientist to join us on a permanent basis. You will apply advanced analytical, statistical, and machine‑learning techniques to support major UK Government programmes and the wider enterprise, working across multidisciplinary teams throughout the UK.
You will collaborate with delivery managers, engineers, architects, and customer stakeholders to design, develop, and operationalise data‑driven solutions that deliver meaningful impact. This role offers the opportunity to deepen your expertise, contribute to high‑value projects, and help shape the analytical capability within one of the strongest teams in the business.
Your Responsibilities Will Include
- Designing, developing, and validating statistical models and machine‑learning solutions
- Conducting exploratory data analysis and feature engineering to uncover insights and support decision‑making
- Working closely with data engineers to ensure high‑quality, scalable data pipelines for modelling
- Translating analytical findings into clear, actionable recommendations for technical and non‑technical audiences
- Supporting the development of analytical roadmaps, risk identification, and mitigation planning
- Contributing to the operationalisation and monitoring of models in production environments
- Evaluating emerging tools, frameworks, and methodologies to enhance analytical capability
- Providing guidance and informal mentorship to junior data scientists and analysts
- Ensuring responsible, ethical, and secure use of data and AI
Required Skills
- Experience in data science, machine learning, or applied analytics
- Strong proficiency in Python and common ML libraries (pandas, NumPy, scikit‑learn, TensorFlow, PyTorch)
- Experience designing, training, and evaluating machine‑learning models
- Solid understanding of statistical methods, predictive modelling, and experimental design
- Experience working with large or complex datasets, including data cleansing and feature engineering
- Ability to communicate analytical concepts clearly to non‑technical stakeholders
- Experience working in an agile delivery environment
- Strong problem‑solving skills and attention to detail
Desired Skills
- Experience with cloud‑based ML services (AWS SageMaker, Azure ML, Databricks)
- Familiarity with MLOps practices and model lifecycle management
- Experience with NLP, deep learning, or computer vision
- Knowledge of data visualisation tools (Power BI, Tableau)
- Exposure to big‑data technologies (Spark, Hadoop)
- AWS certifications
- Experience supporting government or highly regulated environments