1,761 Scientific Research & Development jobs in South Africa

Data Scientist II page is loaded# Data Scientist IIlocations: Johannesburgtime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: September 20, 2025 (7 days left to apply)job requisition id: R39924# **Job Description**To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.**Hello, Future Insure Data Scientist**Join our dynamic team at the heart of operational analytics, where data meets business processes to drive meaningful change across the organisation.This role is ideal for a curious and driven data scientist who thrives on solving complex process problems, uncovering root causes, and translating intricate data into clear, actionable insights for non-technical stakeholders. You’ll work closely with various teams to support claims operations, improve reporting, and enable strategic decision-making through high-impact analysis and storytelling.**What you’ll Do*** Investigate and solve by analyzing operational data to uncover inefficiencies, determine root causes, and identify opportunities.* Conduct ad hoc analysis to support claims investigations, including credit life, COVID loan claims, and ombudsman complaints.* Take ownership of and deliver comprehensive reporting packs that provide operational performance insights and strategic recommendations tailored for senior stakeholders * Build and maintain Power BI dashboards to provide real-time insights to management.* Enhance and manage InsureWorX reporting for claims data accuracy and visibility.* Collaborate with non-technical stakeholders to understand their challenges and translate data into business-friendly solutions.* Present findings in leadership forums and contribute to strategic discussions with clear, compelling narratives.* Provide operational support through data analysis for claims-related queries and escalations.* Respond to ad hoc requests from various business units, offering insights that drive decisions and improve outcomes.**Team Culture & Values*** **Clarity,** we simplify complexity. Our goal is to make data understandable and actionable for everyone.* **Collaboration,** We work across teams and disciplines, building strong relationships and sharing knowledge freely.* **Impact,** Every analysis we do is aimed at solving real problems and making a measurable difference.* **Curiosity** We ask questions, challenge assumptions, and continuously seek better ways to do things.**You’ll Be a Great Fit If You:*** Are never satisfied with the status quo and love solving problems.* Can turn messy data into meaningful stories.* Are self-driven and ,take ownership of your work.* Communicate clearly and confidently with diverse stakeholders.* Have a growth mindset and enjoy learning.* Thrive in a fast-paced, collaborative environment**Qualifications & Experience*** **Minimum Qualification:** BSc in Mathematics, Statistics, Actuarial Science, or related field.* **Experience:** 3–5 years in a data science or analytical role, with a focus on operational/process analysis and stakeholder engagement.* **Tools & Skills:** Intermediate to advanced skills in SAS and Power BI* Proven experience in statistical methods and Data storytelling.All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank actively supports the recruitment and advancement of people with disabilities. We encourage that candidates voluntarily declare their disability and consult the Bank should they require reasonable accommodation.#Post #FNB #LI-AR2# # ***Job Details***# **Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.**20/09/25All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.Introduce yourself to our recruiters and we will get in touch if there's a role that seems like a good match.Should you have any queries, please log it via .
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Data Scientist page is loaded# Data Scientistlocations: Randburgtime type: Full timeposted on: Posted Todaytime left to apply: End Date: September 19, 2025 (6 days left to apply)job requisition id: R39749# **Job Description**To plan, build, optimise and implement innovative advanced analytical solutions tailored to the WesBank Fleet Management and Leasing (FML) business, which provides comprehensive vehicle leasing and fleet management services to clients. The FML business operates at the intersection of asset finance, operational efficiency, and customer-centric service delivery, requiring robust data-driven insights to support pricing, risk, and strategic decision-making.Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customized solutions which result in more efficient outcomes.* Provide input into localisation of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.* Adhere to model building policies, standards, frameworks, and governance process.* Ensure own ethical usage of information that complies to restrictions applied for privacy and sensitivity classification.* Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.* Ensure reporting of any Information Privacy Incidents and escalate appropriately for resolution of Privacy and Protection Audit Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.* Create delivery plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.* Analyse available data to identify information commercialisation opportunities that have not been explored to address business needs and revenue options.* Productionize analytics in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.* Analyse information requirements, availability and quality of data to feed into management for resolution.* Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilise as appropriate.* Collaborate with numerous departments across the business to aid them in the proper use of data to ensure delivery of desired operational results.* Participate in relevant project related to the business overall analytical needs and opportunities.* Serve as SME for analytics applying own understanding of the operations of the business product or service.* Build models that analyse processes to recommend areas for optimisation to achieve cost savings, revenue generation or efficiency improvements for the business.* Document and audit relevant processes.* Document and implement models to address specific business requirements.* Conduct appropriate manipulation and analysis of data to pro-actively identify and meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.* Apply own understanding of statistical techniques to determine approach to provide input required for decisions and design or evaluation of experiments.* Apply technical concetps such as (Multivariable Calculus, Linear Algebra etc.) concepts to improve predictive performance or algorithm optimisation in data defined products.* Implement Machine learning mathematical algorithms and automation techniques using open-source programming languages such as SAS or Python libraries.* Utilise advanced Predictive modelling techniques to hold insight into outcomes and future events thatmconfront key assumptions.* Utilise data to model complex abstractions in machine learning research to enable deep learning.* Utilise pattern recognition technology to recognizes patterns in data and the criteria for use interchangeably with machine learning technology.* Build and program own statistical model in statistical software for application development to productionize the model into a software application conducted by software developers.* Conduct Text analytics to examine unstructured data to glean key business insights.* Understand principles of Data Wrangling to identify and recommend corrective actions for imperfections in data quality.* Participate in enterprise-wide high level problem resolution by interacting with relevant engineers and product managers, utilising appropriate methods and decide when approximations make sense.* Conduct data visualisation to present data, findings and techniques to audiences, both technical and nontechnical in a pictorial or graphical format so it can be easily analyzed utilising principles of visually encoding data and communicating information.* Maintain ownership of models through regular audits and updates to ensure relevance.* Plan and perform regular model updates that capture evolving business complexity in current models.* Challenge current models to ensure relevance and accuracy of outputs.* Test outputs and accuracy of models to ensure relevance.* Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetization opportunities and monitoring implementation of business decisions to recommend enhancements utilizing statistical modelling and data analysis.* Validate, interpret and create reports and presentations for data analytics management and relevant stakeholders.* Review and assist more junior Quantitative Analysts with processes and models.* Participate and contribute to a development culture where information regarding successes, issues, trends and ideas are actively shared.* Build and sustain collaborative working relationships with relevant peers and stakeholders to achieve productivity synergies.* Participate in specialist communities of practice and contribute positively to own and organisational knowledge improvement.* Contribute to the development of a budget aligned to operational delivery plans, monitor effectiveness and report on variances.* Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.* Engage in cross-functional relationships to obtain and to provide work support.* Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability.* Ensure implementation of relevant policies, governance and practice standards across the business.* Maintain expert knowledge on relevant legislative amendments, industry best practices and business's internal compliance procedures and requirements.* Ensure compliance is adopted in terms of systems and procedures as laid out by business.* Implement and provide input into the development of governance and compliance procedures and processes within area of specialization and identify risks.* Determine the business questions that need be answered and determine appropriate analytics models for utilization.* Source and prepare relevant data sources for analysis.* Translate business requirements into tangible models utilizing own understanding of the business value of projects, models and processes.* Develop and apply analytical algorithms and methods to build, test and implement advanced mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e. reduced risk and costs, increased profitability, optimized efficiency and to facilitate strategic decision-making.Additional Requirements* 5 Years experience in a Data Science Role# # ***Job Details***# **Take note that applications will
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Data Scientist page is loaded# Data Scientistlocations: Randburgtime type: Full timeposted on: Posted Todaytime left to apply: End Date: September 19, 2025 (6 days left to apply)job requisition id: R39749# **Job Description**To plan, build, optimise and implement innovative advanced analytical solutions tailored to the WesBank Fleet Management and Leasing (FML) business, which provides comprehensive vehicle leasing and fleet management services to clients. The FML business operates at the intersection of asset finance, operational efficiency, and customer-centric service delivery, requiring robust data-driven insights to support pricing, risk, and strategic decision-making.Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customized solutions which result in more efficient outcomes.* Provide input into localisation of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.* Adhere to model building policies, standards, frameworks, and governance process.* Ensure own ethical usage of information that complies to restrictions applied for privacy and sensitivity classification.* Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.* Ensure reporting of any Information Privacy Incidents and escalate appropriately for resolution of Privacy and Protection Audit Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.* Create delivery plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.* Analyse available data to identify information commercialisation opportunities that have not been explored to address business needs and revenue options.* Productionize analytics in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.* Analyse information requirements, availability and quality of data to feed into management for resolution.* Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilise as appropriate.* Collaborate with numerous departments across the business to aid them in the proper use of data to ensure delivery of desired operational results.* Participate in relevant project related to the business overall analytical needs and opportunities.* Serve as SME for analytics applying own understanding of the operations of the business product or service.* Build models that analyse processes to recommend areas for optimisation to achieve cost savings, revenue generation or efficiency improvements for the business.* Document and audit relevant processes.* Document and implement models to address specific business requirements.* Conduct appropriate manipulation and analysis of data to pro-actively identify and meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.* Apply own understanding of statistical techniques to determine approach to provide input required for decisions and design or evaluation of experiments.* Apply technical concetps such as (Multivariable Calculus, Linear Algebra etc.) concepts to improve predictive performance or algorithm optimisation in data defined products.* Implement Machine learning mathematical algorithms and automation techniques using open-source programming languages such as SAS or Python libraries.* Utilise advanced Predictive modelling techniques to hold insight into outcomes and future events thatmconfront key assumptions.* Utilise data to model complex abstractions in machine learning research to enable deep learning.* Utilise pattern recognition technology to recognizes patterns in data and the criteria for use interchangeably with machine learning technology.* Build and program own statistical model in statistical software for application development to productionize the model into a software application conducted by software developers.* Conduct Text analytics to examine unstructured data to glean key business insights.* Understand principles of Data Wrangling to identify and recommend corrective actions for imperfections in data quality.* Participate in enterprise-wide high level problem resolution by interacting with relevant engineers and product managers, utilising appropriate methods and decide when approximations make sense.* Conduct data visualisation to present data, findings and techniques to audiences, both technical and nontechnical in a pictorial or graphical format so it can be easily analyzed utilising principles of visually encoding data and communicating information.* Maintain ownership of models through regular audits and updates to ensure relevance.* Plan and perform regular model updates that capture evolving business complexity in current models.* Challenge current models to ensure relevance and accuracy of outputs.* Test outputs and accuracy of models to ensure relevance.* Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetization opportunities and monitoring implementation of business decisions to recommend enhancements utilizing statistical modelling and data analysis.* Validate, interpret and create reports and presentations for data analytics management and relevant stakeholders.* Review and assist more junior Quantitative Analysts with processes and models.* Participate and contribute to a development culture where information regarding successes, issues, trends and ideas are actively shared.* Build and sustain collaborative working relationships with relevant peers and stakeholders to achieve productivity synergies.* Participate in specialist communities of practice and contribute positively to own and organisational knowledge improvement.* Contribute to the development of a budget aligned to operational delivery plans, monitor effectiveness and report on variances.* Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.* Engage in cross-functional relationships to obtain and to provide work support.* Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability.* Ensure implementation of relevant policies, governance and practice standards across the business.* Maintain expert knowledge on relevant legislative amendments, industry best practices and business's internal compliance procedures and requirements.* Ensure compliance is adopted in terms of systems and procedures as laid out by business.* Implement and provide input into the development of governance and compliance procedures and processes within area of specialization and identify risks.* Determine the business questions that need be answered and determine appropriate analytics models for utilization.* Source and prepare relevant data sources for analysis.* Translate business requirements into tangible models utilizing own understanding of the business value of projects, models and processes.* Develop and apply analytical algorithms and methods to build, test and implement advanced mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e. reduced risk and costs, increased profitability, optimized efficiency and to facilitate strategic decision-making.Additional Requirements* 5 Years experience in a Data Science Role# # ***Job Details***# **Take note that applications will
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Overview

Oversee and manage multiple projects within Data Science and Data Engineering space. Perform Stakeholder and Business Engagement and manage the end-to-end delivery to client by leading teams of Data Engineers and Data Scientists.

Qualifications

Bachelor’s Degree in Data Science, Computer Science, Engineering or other related Degrees

Responsibilities

• Lead the delivery and manage the execution of Data Engineering and Data Science projects.

• Produce intelligent, scalable, and automated solutions by leveraging Data Science and Data Engineering teams.

• Develop a Business Intelligence roadmap; prioritize business insight requests to balance the tactical and strategic information needs.

• Design and manage the end-to-end Data Science and Data Engineering Solutions.

• Work with Technology teams on the development of new data capabilities & architecture to define requirements and priorities.

• Develop, continuously improve, and execute an efficient framework to identify, organize and structure the team to deliver quality products/services to client.

• Support where required in developing product specification documents, scope of Work documents, Code of Conduct document with regards to project needs.

• Implement best practise pipeline framework adhering to (KDD, CRISP) and deployment of use cases identified in products & services by using ML techniques

• Establish and meet required SLAs and TAT for requirements

• Ability to understand business processes, risk and controls.

• Ability to understand and frame client problem statements and put forward a data analytics or digital solution to meet client requirements.

• Ability to utilise industry technologies to apply data analytics solutions including data analysis tools; business intelligence solutions; data science and data engineering tools.

• Ability to apply SDLC methodologies to solution developments

• Ability to work with minimal supervision.

• Ability to manage multiple engagements and projects simultaneously.

• Excellent interpersonal skills.

• Management and leadership skills.

• Problem Solving Skills.

• Drive and willingness to mentor and train junior members of the team.

• Prior Business Engagement and Stakeholder Management experience.

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Overview

Data Scientist – Badger Holdings
George, Western Cape (On-site | Office-based)

At Badger Holdings, we don’t just crunch numbers, we use data to reshape insurance and solve real-world problems. We’re looking for a Data Scientist who’s ready to take ownership of the full machine learning lifecycle: from raw data, to insights, to deployed models that actually move the needle.

Purpose of the Role

You’ll be responsible for the development and deployment of machine learning solutions that tackle real business challenges. This means data preparation, exploratory data analysis, feature engineering, model development, deployment, monitoring — and doing it all without needing your hand held.

Responsibilities

• Prep, clean, transform and engineer features from raw data
• Run exploratory data analysis to uncover insights & shape models
• Build, validate and deploy machine learning models
• Monitor and retrain models to stay ahead of drift
• Troubleshoot and maintain deployed solutions
• Document pipelines, models and processes clearly
• Create dashboards & reporting tools for business teams

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Insurance

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Overview

Data Scientist – Badger Holdings

George, Western Cape (On-site | Office-based)

At Badger Holdings, we don’t just crunch numbers, we use data to reshape insurance and solve real-world problems. We’re looking for a Data Scientist who’s ready to take ownership of the full machine learning lifecycle: from raw data, to insights, to deployed models that actually move the needle.

Purpose of the Role

You’ll be responsible for the development and deployment of machine learning solutions that tackle real business challenges. This means data preparation, exploratory data analysis, feature engineering, model development, deployment, monitoring — and doing it all without needing your hand held.

What You’ll Do

• Prep, clean, transform and engineer features from raw data
• Run exploratory data analysis to uncover insights & shape models
• Build, validate and deploy machine learning models
• Monitor and retrain models to stay ahead of drift
• Troubleshoot and maintain deployed solutions
• Document pipelines, models and processes clearly
• Create dashboards & reporting tools for business teams

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Overview

Senior Data Scientist

At AKQA, we imaginatively apply art and science to create transformative experiences, accelerate growth, and future-proof organisations. AKQA designs every touchpoint along the customer journey with unmatched native ability to define, find, connect, and inspire audiences across all brand interactions.

We believe in the power of data to drive decisions, creativity, and business transformation. As a Data Scientist, you’ll play a key role in turning data into strategic advantage—working with some of the world’s most ambitious brands and surrounded by a multi-disciplinary team that values rigour, curiosity, and innovation.

AKQA is seeking a business-oriented and technically adept Senior Data Scientist to lead and deliver advanced analytical solutions that uncover insights, predict performance, and inform strategy. This role bridges analytical depth with commercial impact, working closely with internal stakeholders and client teams to shape decision-making and deliver measurable results.

You will design and implement data science solutions across various projects, spanning customer segmentation, predictive modelling, performance optimization, and experimentation frameworks. You will also collaborate with data engineers, strategists, creatives, and technologists to shape data-informed marketing, product, and business strategies.

Responsibilities

• Lead the end-to-end development of data science projects—from framing business problems to deploying solutions and interpreting results.
• Translate complex datasets into actionable insights through statistical analysis, machine learning, and visual storytelling.
• Build models and frameworks for forecasting, customer lifetime value, churn prediction, audience segmentation, recommendation engines, and conversion uplift.
• Partner with internal and client teams to shape learning agendas, A / B and multivariate testing frameworks, and optimization strategies.
• Deliver presentations and written documentation that communicate technical outcomes to non-technical stakeholders.
• Design KPI frameworks and create self-serve dashboards and reporting tools using platforms like Tableau or Google Looker Studio.
• Support automation and scaling of analytics workflows in collaboration with data engineers and developers.
• Advise on data collection strategies and infrastructure, ensuring robust pipelines and trustworthy analytics.
• Contribute to AKQA’s thought leadership and internal capability-building in analytics and data science.

Qualifications and Characteristics

• Hands-on experience in data science, analytics, or a related quantitative field.
• Proficiency in Python or R for data analysis and modelling.
• Strong SQL skills and experience with querying relational databases.
• Solid understanding of machine learning techniques, model development, and statistical inference.
• Experience applying data science to business contexts such as marketing performance, e-commerce, media mix modelling, CRM, or customer experience.
• Fluency with data visualization tools (e.g. Tableau, Power BI, Google Data Studio).
• Experience working with cloud platforms (GCP, AWS, or Azure) is a plus.
• Comfort working with structured and unstructured data from varied sources (e.g. CRM systems, media platforms, web analytics tools, transactional databases).
• Excellent communication and stakeholder management skills, with the ability to translate data outputs into commercial impact.
• Experience with A / B testing platforms and methodologies (e.g. Optimizely, Google Optimize, custom frameworks).
• Familiarity with data engineering concepts (ETL, Airflow, BigQuery, Snowflake) is advantageous.
• Prior experience in a consultancy or agency environment is desirable.

Benefits

Explore our extensive range of benefits

We believe great work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach including required in-office days. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

AKQA is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

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Data Scientist page is loaded# Data Scientistlocations: Randburgtime type: Full timeposted on: Posted Todaytime left to apply: End Date: September 19, 2025 (6 days left to apply)job requisition id: R39749# **Job Description**To plan, build, optimise and implement innovative advanced analytical solutions tailored to the WesBank Fleet Management and Leasing (FML) business, which provides comprehensive vehicle leasing and fleet management services to clients. The FML business operates at the intersection of asset finance, operational efficiency, and customer-centric service delivery, requiring robust data-driven insights to support pricing, risk, and strategic decision-making.Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customized solutions which result in more efficient outcomes.* Provide input into localisation of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.* Adhere to model building policies, standards, frameworks, and governance process.* Ensure own ethical usage of information that complies to restrictions applied for privacy and sensitivity classification.* Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.* Ensure reporting of any Information Privacy Incidents and escalate appropriately for resolution of Privacy and Protection Audit Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.* Create delivery plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.* Analyse available data to identify information commercialisation opportunities that have not been explored to address business needs and revenue options.* Productionize analytics in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.* Analyse information requirements, availability and quality of data to feed into management for resolution.* Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilise as appropriate.* Collaborate with numerous departments across the business to aid them in the proper use of data to ensure delivery of desired operational results.* Participate in relevant project related to the business overall analytical needs and opportunities.* Serve as SME for analytics applying own understanding of the operations of the business product or service.* Build models that analyse processes to recommend areas for optimisation to achieve cost savings, revenue generation or efficiency improvements for the business.* Document and audit relevant processes.* Document and implement models to address specific business requirements.* Conduct appropriate manipulation and analysis of data to pro-actively identify and meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.* Apply own understanding of statistical techniques to determine approach to provide input required for decisions and design or evaluation of experiments.* Apply technical concetps such as (Multivariable Calculus, Linear Algebra etc.) concepts to improve predictive performance or algorithm optimisation in data defined products.* Implement Machine learning mathematical algorithms and automation techniques using open-source programming languages such as SAS or Python libraries.* Utilise advanced Predictive modelling techniques to hold insight into outcomes and future events thatmconfront key assumptions.* Utilise data to model complex abstractions in machine learning research to enable deep learning.* Utilise pattern recognition technology to recognizes patterns in data and the criteria for use interchangeably with machine learning technology.* Build and program own statistical model in statistical software for application development to productionize the model into a software application conducted by software developers.* Conduct Text analytics to examine unstructured data to glean key business insights.* Understand principles of Data Wrangling to identify and recommend corrective actions for imperfections in data quality.* Participate in enterprise-wide high level problem resolution by interacting with relevant engineers and product managers, utilising appropriate methods and decide when approximations make sense.* Conduct data visualisation to present data, findings and techniques to audiences, both technical and nontechnical in a pictorial or graphical format so it can be easily analyzed utilising principles of visually encoding data and communicating information.* Maintain ownership of models through regular audits and updates to ensure relevance.* Plan and perform regular model updates that capture evolving business complexity in current models.* Challenge current models to ensure relevance and accuracy of outputs.* Test outputs and accuracy of models to ensure relevance.* Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetization opportunities and monitoring implementation of business decisions to recommend enhancements utilizing statistical modelling and data analysis.* Validate, interpret and create reports and presentations for data analytics management and relevant stakeholders.* Review and assist more junior Quantitative Analysts with processes and models.* Participate and contribute to a development culture where information regarding successes, issues, trends and ideas are actively shared.* Build and sustain collaborative working relationships with relevant peers and stakeholders to achieve productivity synergies.* Participate in specialist communities of practice and contribute positively to own and organisational knowledge improvement.* Contribute to the development of a budget aligned to operational delivery plans, monitor effectiveness and report on variances.* Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.* Engage in cross-functional relationships to obtain and to provide work support.* Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability.* Ensure implementation of relevant policies, governance and practice standards across the business.* Maintain expert knowledge on relevant legislative amendments, industry best practices and business's internal compliance procedures and requirements.* Ensure compliance is adopted in terms of systems and procedures as laid out by business.* Implement and provide input into the development of governance and compliance procedures and processes within area of specialization and identify risks.* Determine the business questions that need be answered and determine appropriate analytics models for utilization.* Source and prepare relevant data sources for analysis.* Translate business requirements into tangible models utilizing own understanding of the business value of projects, models and processes.* Develop and apply analytical algorithms and methods to build, test and implement advanced mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e. reduced risk and costs, increased profitability, optimized efficiency and to facilitate strategic decision-making.Additional Requirements* 5 Years experience in a Data Science Role# # ***Job Details***# **Take note that applications will
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Data Scientist page is loaded# Data Scientistlocations: Randburgtime type: Full timeposted on: Posted Todaytime left to apply: End Date: September 19, 2025 (6 days left to apply)job requisition id: R39749# **Job Description**To plan, build, optimise and implement innovative advanced analytical solutions tailored to the WesBank Fleet Management and Leasing (FML) business, which provides comprehensive vehicle leasing and fleet management services to clients. The FML business operates at the intersection of asset finance, operational efficiency, and customer-centric service delivery, requiring robust data-driven insights to support pricing, risk, and strategic decision-making.Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customized solutions which result in more efficient outcomes.* Provide input into localisation of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.* Adhere to model building policies, standards, frameworks, and governance process.* Ensure own ethical usage of information that complies to restrictions applied for privacy and sensitivity classification.* Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.* Ensure reporting of any Information Privacy Incidents and escalate appropriately for resolution of Privacy and Protection Audit Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.* Create delivery plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.* Analyse available data to identify information commercialisation opportunities that have not been explored to address business needs and revenue options.* Productionize analytics in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.* Analyse information requirements, availability and quality of data to feed into management for resolution.* Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilise as appropriate.* Collaborate with numerous departments across the business to aid them in the proper use of data to ensure delivery of desired operational results.* Participate in relevant project related to the business overall analytical needs and opportunities.* Serve as SME for analytics applying own understanding of the operations of the business product or service.* Build models that analyse processes to recommend areas for optimisation to achieve cost savings, revenue generation or efficiency improvements for the business.* Document and audit relevant processes.* Document and implement models to address specific business requirements.* Conduct appropriate manipulation and analysis of data to pro-actively identify and meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.* Apply own understanding of statistical techniques to determine approach to provide input required for decisions and design or evaluation of experiments.* Apply technical concetps such as (Multivariable Calculus, Linear Algebra etc.) concepts to improve predictive performance or algorithm optimisation in data defined products.* Implement Machine learning mathematical algorithms and automation techniques using open-source programming languages such as SAS or Python libraries.* Utilise advanced Predictive modelling techniques to hold insight into outcomes and future events thatmconfront key assumptions.* Utilise data to model complex abstractions in machine learning research to enable deep learning.* Utilise pattern recognition technology to recognizes patterns in data and the criteria for use interchangeably with machine learning technology.* Build and program own statistical model in statistical software for application development to productionize the model into a software application conducted by software developers.* Conduct Text analytics to examine unstructured data to glean key business insights.* Understand principles of Data Wrangling to identify and recommend corrective actions for imperfections in data quality.* Participate in enterprise-wide high level problem resolution by interacting with relevant engineers and product managers, utilising appropriate methods and decide when approximations make sense.* Conduct data visualisation to present data, findings and techniques to audiences, both technical and nontechnical in a pictorial or graphical format so it can be easily analyzed utilising principles of visually encoding data and communicating information.* Maintain ownership of models through regular audits and updates to ensure relevance.* Plan and perform regular model updates that capture evolving business complexity in current models.* Challenge current models to ensure relevance and accuracy of outputs.* Test outputs and accuracy of models to ensure relevance.* Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetization opportunities and monitoring implementation of business decisions to recommend enhancements utilizing statistical modelling and data analysis.* Validate, interpret and create reports and presentations for data analytics management and relevant stakeholders.* Review and assist more junior Quantitative Analysts with processes and models.* Participate and contribute to a development culture where information regarding successes, issues, trends and ideas are actively shared.* Build and sustain collaborative working relationships with relevant peers and stakeholders to achieve productivity synergies.* Participate in specialist communities of practice and contribute positively to own and organisational knowledge improvement.* Contribute to the development of a budget aligned to operational delivery plans, monitor effectiveness and report on variances.* Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.* Engage in cross-functional relationships to obtain and to provide work support.* Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability.* Ensure implementation of relevant policies, governance and practice standards across the business.* Maintain expert knowledge on relevant legislative amendments, industry best practices and business's internal compliance procedures and requirements.* Ensure compliance is adopted in terms of systems and procedures as laid out by business.* Implement and provide input into the development of governance and compliance procedures and processes within area of specialization and identify risks.* Determine the business questions that need be answered and determine appropriate analytics models for utilization.* Source and prepare relevant data sources for analysis.* Translate business requirements into tangible models utilizing own understanding of the business value of projects, models and processes.* Develop and apply analytical algorithms and methods to build, test and implement advanced mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e. reduced risk and costs, increased profitability, optimized efficiency and to facilitate strategic decision-making.Additional Requirements* 5 Years experience in a Data Science Role# # ***Job Details***# **Take note that applications will
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