Data Science Manager

Job Description End-to-End Solution Ownership: Own the technical solution lifecycle for data science and AI initiatives, from shaping requirements and defining the solution approach through to implementation support. Advanced Modelling & Analysis: Apply advanced data science and machine learning techniques to solve complex business problems. Production & MLOps: Design, build, and deploy robust, scalable, and maintainable machine learning models into production environments.

Design and implement MLOps pipelines. Strategic Impact: Contribute to the strategic direction of data science and AI initiatives, identifying new opportunities for innovation and help to shape best practices. Stakeholder Collaboration: Work closely with clients and internal teams to understand their needs, translate requirements into technical solutions, and communicate findings to non technical audiences in a clear and compelling manner.

Ethical AI & Governance: Ensure the ethical and responsible application of AI/ML models. Mentorship & Knowledge Sharing: Mentor and guide junior data scientists and engineers, fostering a culture of technical excellence. Research & Innovation: 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, Time Series Forecasting etc.

Understanding of evaluation and explanation techniques in machine learning, e.g. overfitting, bias, cross validation, LIME, SHAP, etc. Experience with data science tools such as Hadoop, Spark, and Hive. Experience with data visualization tools such as Tableau and Power BI.

Experience with 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.

Knowledge of public sector regulations and compliance requirements. Desired Skills 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.

Benefits Hybrid working model with some flexible working. 25 days’ holiday, Private Medical Health care via Vitality. Pension contribution, Life Assurance. Professional certifications supported as part of learning and development.

A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access to our Employee Resource Groups, our groups represent diverse backgrounds and provide a platform for colleagues to connect, learn, and support one another. 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. If you require any reasonable adjustments or additional support during the interview process, please email Kelly at [email protected] for assistance. #J-18808-Ljbffr