Job descriptionKey Responsibilities - Lead the design, development, and deployment of scalable, production-ready machine learning models and data products within a cloud-based environment. - Analyse complex datasets and model outputs to identify trends, generate actionable insights, and support data-driven business growth. - Design, execute, and evaluate controlled experiments, delivering statistically robust recommendations to support strategic decision-making. - Collaborate with cross-functional teams to implement machine learning solutions that address business challenges and create measurable value. - Present complex analytical findings and recommendations to technical and non-technical stakeholders in a clear, concise, and impactful manner. - Drive innovation by identifying new data sources, analytical techniques, and opportunities to enhance existing solutions and business outcomes. - Mentor and support junior data scientists, fostering a culture of continuous learning, collaboration, and technical excellence. - Establish and promote best practices across the data science function, including code quality, version control, model validation, and MLOps processes. Requirements Qualifications - Honours degree in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative discipline. - A Master's degree will be advantageous. Experience - Minimum of 5 years' experience in Data Science, including at least 2 years in a senior or leadership capacity. - Experience within retail, customer analytics, marketing analytics, or related commercial environments will be highly advantageous. Technical Competencies - Strong proficiency in Python and SQL. - Sound understanding of version control systems, Git workflows, and CI/CD practices. - Hands-on experience with machine learning techniques, including regression, classification, clustering, and predictive modelling. - Strong background in statistical analysis, experimental design, and hypothesis testing. - Experience working with cloud platforms, preferably Google Cloud Platform (GCP). - Familiarity with data visualisation and business intelligence tools such as Power BI or Looker Studio. - Experience deploying, monitoring, and maintaining machine learning models in production environments. Key Skills and Attributes - Exceptional communication and presentation skills, with the ability to translate complex analytical concepts into business-focused insights. - Strong analytical thinking and problem-solving capabilities, particularly when addressing complex or ambiguous business challenges. - Ability to work effectively both independently and within cross-functional teams. - Results-driven with a strong sense of ownership, accountability, and commitment to delivering high-quality outcomes. - Naturally curious with a passion for discovering innovative approaches, new technologies, and emerging methodologies. - Adaptable and eager to continuously learn and develop new technical and business skills. - Strong commercial awareness and the ability to align data science initiatives with broader business objectives. Apply now!