Responsibilities
- Own the technical solution lifecycle for data science and AI initiatives, from shaping requirements and defining the solution approach through to implementation support.
- Apply advanced data science and machine learning techniques to solve complex business problems.
- Design, build, and deploy robust, scalable, and maintainable machine learning models into production environments. Design and implement MLOps pipelines.
- Contribute to the strategic direction of data science and AI initiatives, identifying new opportunities for innovation and shaping best practices.
- Work closely with clients and internal teams to understand their needs, translate requirements into technical solutions, and communicate findings to non‑technical audiences.
- Ensure the ethical and responsible application of AI/ML models.
- Mentor and guide junior data scientists and engineers, fostering a culture of technical excellence.
- Research and evaluate new machine learning algorithms, statistical techniques, and emerging AI technologies.
Qualifications
- Experience with programming languages such as C#, Python, R, and SQL.
- Experience with machine learning libraries such as scikit‑learn, TensorFlow, and PyTorch.
- Implementation knowledge of algorithms and techniques like regression, decision trees, random forest, XGBoost, K‑means, anomaly detection, Bayesian theory, and time‑series forecasting.
- Understanding of evaluation and explanation techniques in machine learning, e.g. overfitting, bias, cross‑validation, LIME, SHAP.
- Experience with data science tools such as Hadoop, Spark, and Hive.
- Experience with data visualization tools such as Tableau and Power BI.
- Experience working with large and complex datasets.
- Knowledge of public sector: understanding of the challenges and opportunities facing public sector organisations, experience working with public sector data, and familiarity with public sector regulations and compliance requirements.
- Must be eligible for security clearance.
- Excellent analytical and problem‑solving skills.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Commitment to continuous learning and development.
We are a Disability Confident Employer and are committed to creating an inclusive and diverse environment that celebrates every individual. Our recruitment processes are based on individual merit.
