Senior Data Scientist

ROLE OVERVIEW

Build, develop and lead a skilled team, that provide analytical support, data mining, predictive modelling, strategic guidance and decision making; delivering a high ROI across the Company.

QUALIFICATIONS AND EXPERIENCE

• Grade/SAQA Accredited Equivalent (Essential).
• 3-year degree in Information Technology / Sciences / Informatics / Applied Mathematics / Statistics.
• Quantitative sciences / Actuarial sciences / Data Mining (Essential).
• Master’s Degree in Information Technology / Sciences / Informatics / Applied Mathematics / Statistics / Quantitative sciences / Actuarial sciences / Data Mining (Advantageous)
• 8 or more years working experience within an analytical, data science or computer science environment (Essential).
• Do you have experience in the Financial Services Industry (Short-Term Insurance) (Advantageous)
• Do you have 6 or more years’ experience of planning, managing and organizing resources within short / medium timescales within the overall policy framework (Essential)

KEY PORTFOLIO AND PERFORMANCE FOCUS AREAS

• Advanced and Predictive Analytics
• Deploy advanced and predictive analytics across the company by identifying compelling business cases, establishing synergies with different technologies, defining implementation road maps, and consulting with various business departments to derive actionable recommendations and customize solutions.
• Leadership and Direction
• Communicate the function''s strategy and its relationship to the organization''s mission, vision and values; clarify the actions needed to implement it within the area of responsibility; motivate people to commit to these and to doing extraordinary things to achieve the organization''s business goals.
• Data and Analytics Strategy
• Lead the implementation of data and analytics strategy by developing a data insights integration approach and process aligned to key business processes and decisions.
• Data Exploration
• Lead the performance and integration of highly sophisticated analytics to promote understanding of different business areas or critical business challenges/opportunities.
• Insights and Reporting
• Establish business-critical strategies to create, present, and communicate high impact data and analytics insights and recommendations to critical internal and external stakeholders.
• Data Management
• Take responsibility for developing and delivering a key element of the organization''s data management system.
• Design and Conceptualization
• Lead a collaborative digital product/service design process by gathering input across all product/service portfolios to define a design system that is viable and scalable, and which strengthens the brand. Lead a cross-portfolio, multidisciplinary team that contributes to the evolution of the system.
• Information and Business Advice
• Provide senior managers and the business unit with advice and guidance on policy, projects, and change initiatives.
• Performance Management
• Manage and report on performance within the department or area of responsibility; set appropriate performance objectives for direct reports and hold them accountable for achieving these; take appropriate corrective action where necessary to ensure the achievement of annual business objectives.
• Budgeting & Costing
• Manage budget plans for a department. Could involve development or delivery (or both).
• Continuous Improvement.
• Lead the review of existing operations and the implementation of innovation processes across the department to ensure that continuous improvement outcomes are delivered and that the department remains at the forefront of the industry.
• Compliance.
• Implement a compliance system (e.g. POPI act) and identify shortcomings in compliance processes, systems and procedures. Work is focused on an assigned unit or discipline