Senior Data Scientist – (EE) – Cape TownAssess the effectiveness and accuracy of new Data sources and Data gathering techniques.Extend the company's Data with third party sources of information when required.Process, cleanse and verify the integrity of Data used for Analysis.Identify valuable data sources and Automate collection processes.Undertake pre-processing of structured and unstructured data.Analysis and Model Building Mine and Analyze data to drive optimization and improvement of Pricing, Product development, Marketing techniques, and business Strategies.Analyze large amounts of information to discover trends and patterns.Select features, build, and optimize classifiers using advanced Machine learning techniques.Utilize predictive Modeling to influence value drivers such as sales, client retention, expense management, and optimization of client experience.Develop custom data models and algorithms to apply to data sets.Blend models through ensemble modeling.Stakeholder Engagement Present information using data visualization techniques.Propose solutions and strategies to business challenges.Implement and Monitor Coordinate with different functional teams to implement models, allowing for different systems integration patterns, and monitor outcomes.Develop processes and tools to monitor and analyse model performance and data accuracy.Leadership and Team Management Provide leadership and guidance to team members in Advanced Analytics, the Data engineering and Product development teams.Collaborate with data and analytics experts to enhance workflow processes, documentation, technical model builds and model deploymentSupport and mentor team members to drive value for the Group.Requirements Qualifications Degree in Statistics, Actuarial Science, Mathematics, Computer Science or another quantitative field. An advanced degree in a quantitative field would be advantageous.Experience A proven track record of successfully implementing Data-driven solutions and delivering measurable business impact.Demonstrated Leadership and Management abilities: Experience in leading and managing teams, providing guidance and mentorship to junior members, and effectively coordinating with cross-functional teams.Skills/ Knowledge Strategic thinking: A strategic mindset and the ability to align data science initiatives with broader business objectives. Able to identify opportunities for leveraging data and analytics to drive innovation and improve business outcomes.Technical Expertise: A deep understanding and expertise in various Data science techniques, Statistical modeling, Machine learning algorithms, and Data mining.A thorough knowledge of Programming languages such as Python or R and proficient in querying databases and working with big data tools and frameworks like Hadoop, Spark, or SQL.Communication and Presentation Skills: Ability to effectively communicate complex data science concepts and insights to both Technical and non-technical stakeholders. Excellent presentation skills and the ability to translate data-driven insights into actionable recommendations for business stakeholders.If you would like to submit your CV for consideration, please fill out this form and we will get in touch with you shortly.
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