Senior Data Specialist
Closing Date: 10 June 2025
Location: Cape Town
Role Purpose
Create and deliver data driven solutions that add business value through the use of statistical models, machine learning algorithms, data mining and visualisation techniques.
Requirements
- Postgraduate degree in qualitative discipline’s that include significant exposure to mathematics, statistics and computer science.
- Degree in mathematics, statistics, Engineering, Computer Science or other quantitative field.
- 4+ years’ data science experience and more than 3 years of experience in software/cloud development.
- Extensive experience with at least one programming language (e.g. Python), business analytics software (e.g. SAS) statistical package (e.g. R).
- Experience in database language (e.g. SQL).
- Experience in building and managing big data platforms.
- Deep theoretical understanding of statistical methods and machine learning techniques.
- Extensive software engineering experience and cloud understanding.
- Understanding of Artificial Intelligence solutions and techniques.
- Ability to apply statistical methods and machine learning techniques to solve business problems.
- Formulating business problems to enable statistical modelling.
- Selecting the right statistical tools and techniques for the job.
- Experience translating statistical findings into business recommendations.
- Industry experience in Healthcare and/or Insurance.
- Extensive experience with Amazon Web Services (AWS).
Duties & Responsibilities
- Identify and develop Predictive and Prescriptive Models to enable better decision making of business.
- Identify, understand and interpret data structures across various databases within the business to facilitate data analysis and continuous monitoring activities.
- Delve for insights in data and processes to help improve the business.
- Contribute to the development of differentiated; superior solutions that meet stakeholder and business requirements through analysis; business requirements gathering and designs validation.
- Ensure product and/or solution design is congruent with the required business specifications through meeting stakeholder requirements timeously.
- Enable the realisation of the financial business benefits accruing including minimisation of operational costs by ensuring that solutions are implemented effectively.
- Model and frame business scenarios that are meaningful and which impact on critical business processes and/or decisions.
- Participate and/or lead discovery processes with business stakeholders to identify problems and opportunities that may be addressed with statistical modelling or machine learning.
- Collaborate with business to define approach to resolution of key business problems or development of new business strategies.
- Contribute to the business by highlighting possible opportunities for process improvement and business value creation.
- Identify and develop the hypothesis testing framework and modelling approach to address the business requirements.
- Identify available and relevant data, potentially leveraging new data collection processes such as social media.
- Make strategic recommendations on data collection and experimental design incorporating business requirements and knowledge of best practices.
- Prepare the data for analysis and modelling, which includes data cleaning, standardisation, transformation, dimension reduction and feature engineering.
- Identify and train suitable models/algorithms to discover patterns and make predictions.
- Extend existing code and develop custom code to implement statistical models, machine learning algorithms and data mining techniques for large datasets in a computationally efficient manner.
- Compare model performance, select the best algorithm for the job and be able to motivate this choice in a non-technical manner.
- Interpret results and translate findings into clear and actionable insights that can be easily validated with the project sponsor.
- Communicate findings to business with various skill levels and in various roles, presenting trends, correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights.
- Assist business users in the use of the models and interpretation of model output.
- Assist with monitoring and reporting on model accuracy after it has been embedded in operations.
- Assist with monitoring and managing cloud expenditure and budget.
- Help lead and mentor team members and collaborate in problem solving.
- Lead projects and manage delivery expectations.
Competencies
- Impact and Influence.
- Collaboration.
- Self-Awareness and Insight.
- Numeric skills.
- Analytical skills.
- Attention to detail.
- Process skills.
- Communication skills.
Senior Data Specialist
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