Lead : Data Science at Hollard Insurance

Job Purpose

• To support the delivery of Analytics and Data Science Solutions within the Hollard Insure business. The objective is to drive substantial bottom-line value by transforming the organisation's key decision processes (e.g., sales, marketing, product design and pricing, fraud, underwriting, and claims) by extracting insights from large and complex datasets and developing machine learning models.
• The ideal candidate should have a strong background in statistical analysis, quantitative reasoning, machine learning, model development and data visualisation. 

Key Responsibilities

TECHNICAL

• Plan, prioritise, and allocate work to ensure delivery aligns with business objectives and team capacity.
• Own delivery outcomes, including timelines, quality, and risk management, with proactive escalation where required.
• Delivering on key business opportunities where improved insights and advanced analytics can drive bottom-line value.
• Working with stakeholders to identify the business requirements and the expected outcome.
• Collaborating with subject matter experts to select the relevant sources of information for analysis, reporting and solution design.
• Performing experimental design approaches to validate findings or test hypotheses.
• Quantifying the accuracy of metrics for the analysis and presenting and depicting the rationale of the findings in easy-to-understand terms for business.
• Supporting the design and delivery of the right infrastructure (databases, BI tools, modelling software) to support the analytics agenda.
• Developing data science solutions and strategies includes using Machine learning and Advanced Analytics.
• Maintain existing solutions and retrain models where required.
• Migrate existing on-prem solutions to the cloud.
• Build required data structures and reports to track model usage and stability.
• To work with business units to help understand the value analytics and data science can play in their environments.
• Lead, coach, and develop a team of data scientists, including performance management and career progression

KEY STAKEHOLDERS

• The Head of Data and Data Delivery Lead
• Key business stakeholders

CUSTOMER SERVICE & TCF

• Maintain a high level of service to customers (internal and external) according to the company's service standards. Ensure all customers are treated fairly.

Required Knowledge and Experience    
Required Experience

• 8 year related experience
• Project management and delivery
• Experience in data science: ML and Deep Learning
• Experience in database analytical tools and statistical packages.
• Experience in Python, SQL Server, PowerBI, Excel, PowerPoint, Scikit-Learn, TensorFlow, PyTorch, Cursor etc
• Azure will be advantageous.
• Experience in the Financial Services Sector will be advantageous.

Competencies Required:

• Delivering results
• Values teamwork
• Adapting and responding to change
• General Business acumen
• Problem-solving
• Managing complexity

Educational Requirements    
Required Qualifications

• Matric
• BSc (Computer Science, Maths, Statistics, Physics, Data Science/AI), Enginineering.
• Honours and Masters degrees preferred
• Technical Certifications beneficial

Deadline:9th February,2026