Here's an improved structure for clarity and professionalism, with concise formatting and better readability: Job Title: Data Scientist Reports to: Head of Data Science (Aslan) Job Purpose The Data Scientist will develop and implement advanced data analytics and machine learning models to drive business insights and support strategic decision-making. This role involves close collaboration with the Data Engineering and Business Intelligence teams to translate business requirements into actionable data solutions. Key Responsibilities Model Development : Develop and deploy predictive models and algorithms to forecast demand, optimise operations, and enhance business performance. Data Analysis : Analyse large, complex datasets to uncover patterns, trends, and correlations that inform business strategy. Collaboration : Work with subject matter experts to understand business challenges and deliver data-driven solutions. Stakeholder Communication : Present findings and actionable recommendations to stakeholders across all organisational levels. Continuous Improvement : Stay updated on the latest data science techniques, tools, and technologies, identifying opportunities for implementation. Mentorship : Mentor and support junior data science team members to foster their growth and development. Required Qualifications and Skills Education : Master's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science). Experience : 3–4 years in data science or advanced analytics, preferably in a commercial setting. Technical Skills : Proficiency in programming languages such as Python or R. Expertise in machine learning algorithms, statistical modelling, and data visualisation techniques. Experience with large datasets and implementing data pipelines. Soft Skills : Excellent problem-solving, critical thinking, and communication skills. Ability to collaborate with cross-functional teams and stakeholders. Business Acumen : Understanding of business operations and translating data insights into actionable recommendations. Preferred Qualifications and Skills Industry experience in retail, healthcare, or facilities management. Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP). Knowledge of agile software development methodologies.