Senior Data Scientist at Old Mutual

Job Description

• The Senior Data Scientist is responsible for analyzing, processing, and modeling data, then interpreting the results to create actionable plans that help solve business challenges and drive business results. This role will also involve developing and deploying AI and machine learning models, working with large language models (LLMs), and putting analytical products into production.
• This role reports to the Business Owner: Intelligent Analytics.

Key Result Areas

• Operational Delivery
• Gather data and enable a centralized data knowledge management system that integrates sources into one platform
• Develop a process to aggregate data and then enable centralization
• Mine and analyze large sets of data to derive actionable insights and value from data
• Develop an approach and model for foresight generation
• Perform predictive analytics and data modeling to derive insights about future business decisions that improve customer experiences and business revenue
• Design, implement, and support the delivery of data solutions
• Assess the effectiveness and accuracy of new data sources and data-gathering techniques
• Develop analysis metrics and new reports to support critical business decisions
• Provide input on optimal data architecture to support effective data solutions
• Develop relevant data models, including statistical and machine learning models, to derive more value from data
• Guide data types and content that should maximize value
• Collaborate with stakeholders to understand current challenges and needs that should be met with data solutions
• Identify data tasks and processes that can be improved and automated
• Develop real-time data gathering, analytics, and reporting capabilities
• Launch performance dashboards
• Enable automation
• Integrate with data roles to ensure a holistic GMPAS overview
• Develop and deploy AI and machine learning models
• Work with large language models (LLMs) and prompt engineering
• Put analytical products into production environments
• People
• Manage own performance
• Plan work over the applicable period
• Mentor and guide junior data scientists and analysts
• Finance and Governance
• Understand, interpret and implement COE specific compliance requirements within GMPAS delivery e.g. POPI

Minimum Requirements

• Relevant degree or qualification.
• Extensive experience in data mining, modeling, and analytics.
• Deep knowledge of AI and machine learning techniques
• Experience with large language models (LLMs) and prompt engineering
• Sound knowledge of data analytics and reporting tools.
• Strong understanding of data models and architecture.
• Ability to integrate traditional research and insight with data.
• Proven track record of putting analytical products into production

Competencies

• Business Insight
• Cultivates Innovation
• Drives Results
• Manages Ambiguity
• Manages Complexity
• Plans and Aligns
• Situational Adaptability
• Strategic Mindset

Education

Closing Date

• 30 January 2025 , 23:59