73 Data Interpretation jobs in South Africa
Data Analyst: Data Interpretation and Visualisation
R250000 - R450000 Y
University of Johannesburg
Posted today
Job Viewed
Job Description
Advert reference: uj_
Advert status: Online
Apply by: 31 October 2025
Position Summary
Industry: Education & Training
Job category: Education and Training
Campus: Auckland Park Kingsway Campus
Contract: Permanent
Remuneration: Market Related
EE position: EE
Level: Management
Introduction
The University of Johannesburg (UJ) is a vibrant and cosmopolitan institution, guided by its bold UJ Strategy 2035, which emphasises Societal Impact and Sustainability, Global Footprint and Partnerships, and Technology for the Future. Committed to transformative change, UJ's mission is "To transform and serve humanity through innovation and the collective and collaborative pursuit of knowledge." The University is guided by the vision of building "An international university of choice, anchored in Africa and the global south, dynamically shaping a sustainable future".
Job description
"Please note that the University is obligated, in terms of recent amendments to the Criminal Law (Sexual Offences and Related Matters) Amendment Act 2021 (Act 13 of 2021), to assess all prospective employees (including applicants) against the National Register for Sex Offenders (NRSO). The outcome of such an assessment may have an impact upon possible employment with the University.
For more information, please review the following link: Justice/Criminal/NRSO
Job Description:
The Centre for Academic Technologies (CAT) supports teaching and learning through innovative and advanced technologies. Ensuring the training and support of the use of such technologies for both staff and students is a central part of CAT. CAT consists of staff support (Learning Experience Advisors Team), student support (Helpdesk Team), and technical/data support (IT team). Ultimately, we support all staff, students, and support stakeholders on all four of our UJ campuses. The purpose of this role is to develop, support, and maintain bespoke technologies for teaching, learning, and research.
Responsibilities:
- Understand the basic teaching and learning support provided by CAT to staff & students.
- Understand the basic technicalities of the Learning Management System.
- To work accurately with numbers and use different statistical techniques.
- Develop and design reports in a timely manner and aligned with the stakeholder requirements.
- Execute the data visualisation that is fit-for-purpose.
- Ensure accurate, reliable and relevant data and information are gathered from trustworthy internal and external information sources for reporting and planning processes.
- Interpret relevant data and present findings to relevant stakeholders that respond to the objectives identified in CAT relating to Teaching & Learning activities such as student progress tracking, learning analytics, etc.
- Build working relationships across divisional teams and functional lines to enhance work delivery, collaboration, and innovation.
- Test projects where developments have been completed by referencing the specification to ensure that the right results are achieved according to the stakeholders' requirements.
- Support capacity building within CAT and other relevant support services in providing data and analysis for planning processes.
- Manage the detailed T&L processes, which include supporting faculties with relevant analyses of current and historical Learning Management System trends and future projections.
- Monitor, identify and analyse trends in various projects related to student success.
- Design and develop intuitive, user-centred visualisations and multimedia that effectively communicate complex data insights.
- Create compelling data narratives that guide stakeholders to actionable insights.
- Transform analytical findings into accessible formats for diverse audiences, including academics, managers, administrators, and students.
- Maintain multimedia assets in alignment with UJ's branding standards.
Minimum requirements
- A Bachelors' degree (NQF 7) in Information Science, Knowledge Management or Statistics.
- At least three (3) years' experience in working with data extraction, analysis and visualisation.
- Proven experience and ability in working with, analysing, and interpreting data.
- Knowledge of accessibility standards for data visualisations (WCAG).
Competencies and Behavioural Attributes:
- Expertise in data visualisation tools (e.g., Power BI, Tableau).
- Proficiency in multimedia production software (video editing tools, animation software).
- Strong understanding of visual design principles and information architecture.
- Expertise in translating complex data into compelling visual narratives for diverse audiences.
- Proven experience and ability in data mining and data creation.
- Proven experience in a detailed planning environment.
- Ability to perform under pressure.
- Excellent writing, oral and electronic communication skills.
- Proven ability to produce high level proposals and reports.
- Excellent presentation skills.
Recommendations:
- An Honour's degree, or equivalent experience in a relevant field (e.g. information science, knowledge management or statistics).
- Experience working in the higher education sector
- Knowledge of trends in national and international higher education.
- Certification in specialised visualisation tools (such as Power BI).
- Understanding of user experience (UX) design principles.
Enquiries:
Enquiries regarding job content: Prof Corne Meintjes (Director: CAT) on Tel:
Enquiries rearding remuneration and benefits: Ms. Busisiwe Dumezweni (HCM Business Partner) on Tel:
Your application, comprising of a detailed Curriculum Vitae as well as the names and full contact details (including telephone numbers and e-mail addresses) of at least three traceable and credible referees must be uploaded before or on the closing date of the advertised post. Please also attach the following: a copy of your highest academic qualification, proof of registration with professional bodies you might belong to and if applying for an academic position, a list of accredited research output and/ or a portfolio of your creative output.
If you require technical support / assistance on the UJ e-recruitment website, please contact our service provider PNET on the following contact details: / or email
Candidates may be subjected to appropriate psychometric testing and other selection instruments.
In conjunction to merit on the basis of qualifications, experience and proven achievements the University of Johannesburg is committed to providing equal employment opportunities for persons with disabilities and those individuals from the historically disadvantaged groups. As necessitated by operational requirements the University reserves the right not to make an appointment to positions advertised. If you have not received a response from the University within 8 weeks of the closing date, you should assume that your application has been unsuccessful.
Please note that the University is obligated, in terms of recent amendments to the Criminal Law (Sexual Offences and Related Matters) Amendment Act 2021 (Act 13 of 2021), to assess all prospective employees (including applicants) against the National Register for Sex Offenders (NRSO). The outcome of such an assessment may have an impact upon possible employment with the University.
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0
Data Science
Roodepoort, Gauteng
R1500000 - R2500000 Y
CapCircle Management Consultants
Posted today
Job Viewed
Job Description
Not for First Time Job Seeker
Important:
This role requires all 12 listed skills.
Please ensure your CV clearly reflects each of these with traceable experience and references. Candidates missing any of the required skills will not be considered.
JOB ROLE - DATA SCIENCE/ AI/ML Engineers:-
Educational qualifications
- Bachelor's degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Master's or PhD in Machine Learning, Applied Mathematics, Econometrics, or AI (strongly preferred).
SKILLS:
Machine learning engineering
Azure databricks
Business acumen
Python
SQL
Version control and collaboration tools (git, azure repo)
Strong communication with non-technical stakeholders
Cloud platform knowledge (azure)
Model deployment (CI/CD pipelines, model monitoring)
Understanding of rag pipelines and autonomous agents
Feature and ml data engineering (advanced big data wrangling)
Understanding of project management and agile methodologies
Relevant experience
- 8–12 years of experience in data science, machine learning, or advanced analytics roles, with at least 3 years in a leadership or managerial capacity.
- Proven delivery of AI/ML models in production environments—preferably in Fintech, Banking, or Telecoms.
- Experience translating complex data science solutions into measurable business outcomes (e.g., credit scoring, fraud detection, churn prediction).
- Exposure to cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI)."
Required certifications
Preferred: TensorFlow, AWS ML Speciality, Microsoft AI Fundamentals
Key responsibilities
- Lead and scale a high-performing team of data scientists and ML engineers.
- Define and execute the data science roadmap, aligned to business priorities and monetisation opportunities.
- Oversee the end-to-end model lifecycle—from ideation, exploration, development, validation, to monitoring.
- Partner with Product, Risk, and Engineering to integrate models into digital and operational channels.
- Establish standards for model governance, explainability, and ethical AI practices.
- Drive innovation by exploring emerging techniques in generative AI, reinforcement learning, and real-time scoring.
Work location
Hybrid
Contract Position
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1
Data Science Analyst
Midrand, Gauteng
Accenture in South Africa
Posted 1 day ago
Job Viewed
Job Description
THE WORK : Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions and contribute in providing solutions to work related problems. Let's create a brighter future together!
Use existing research methods and develop new approaches to discover anthropological, ethnographical and sociological insights.
Develop brand tracking systems and convert data into relevant KPI dashboards.
Utilize analytical methodologies, mathematical modeling or optimization techniques to develop intellectual property.
BONUS POINTS IF YOU HAVE:
- Advanced proficiency in Generative Design
- Advanced proficiency in Machine Learning
HERE'S WHAT YOU WILL NEED:
- Expert proficiency in Data Science.
- Advanced proficiency in Data Analytics.
- A minimum of 1 year of experience in relevant related skills.
- Bachelor's Degree in relevant field of studies
BONUS POINTS IF YOU HAVE:
- Advanced proficiency in Generative Design
- Advanced proficiency in Machine Learning
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2
Data Science Manager
Western Cape, Western Cape
Kuda Technologies Ltd
Posted 2 days ago
Job Viewed
Job Description
Kuda is a money app for Africans on a mission to make financial services accessible, affordable and rewarding for every African on the planet.
We’re a tribe of passionate and diverse people who dreamed of building an inclusive money app that Africans would love so it’s only right that we ended up with the name ‘Kuda’ which means ‘love’ in Shona, a language spoken in the southern part of Africa.
We’re giving Africans around the world a better alternative to traditional finance by delivering money transfers, smart budgeting and instant access to credit through digital devices.
We’ve raised over $90 million from some of the world's most respected institutional investors, and we’re rolling out our game-changing services globally from our offices in Nigeria, South Africa, and the UK.
Role Overview
As the Data Science Manager at Kuda, you will be responsible for leading a dynamic team of data scientists to develop and deploy machine learning models that drive critical business outcomes across the entire credit lifecycle. Your team will focus on building solutions for credit scoring, fraud detection, and collections, while also supporting various other business functions by providing data-driven insights and predictive capabilities.
You will work with cutting-edge technologies in data science and machine learning, with an emphasis on building scalable, real-time decisioning systems that are integrated into our product offerings. This means that your models will not only be developed but also put into production in a way that supports live, real-time decisions, enhancing Kuda's ability to serve customers with speed and precision.
Your role will require collaboration across multiple cross-functional teams, including product, business, technology, and data teams, ensuring that all teams are aligned to deliver value through innovative, data-driven solutions. As a manager, you'll foster an environment of continuous learning and improvement, ensuring that your team stays ahead of the curve in terms of industry trends, emerging technologies, and the most effective methodologies in the field of data science.
Key to your success will be your ability to translate business challenges into data-driven solutions while balancing technical execution with strategic vision. Your leadership will help scale Kuda’s impact, bringing high-quality, machine learning-based credit solutions to millions of customers across Nigeria and beyond.
Key Responsibilities
- Team Leadership : Manage and mentor a team of data scientists, fostering a collaborative and innovative environment.
- Model Development : Lead the design, development, and deployment of machine learning models for credit scoring, fraud detection, and collections.
- Cross-Functional Collaboration : Work closely with product, engineering, and compliance teams to integrate models into production systems.
- Data Analysis : Analyze large, complex datasets to extract actionable insights and inform business strategies.
- Model Monitoring: Oversee the performance of deployed models, ensuring they meet business objectives and regulatory standards.
- Stakeholder Communication : Present findings and recommendations to senior leadership and other stakeholders.
- Continuous Improvement : Stay abreast of industry trends and emerging technologies to continuously enhance model performance and team capabilities.
- Education : Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Experience : Minimum of 6 years in data science, with at least 2 years in a leadership role managing teams and projects.
- Technical Skills : Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge of cloud environments and services (AWS, Google Cloud).
- Domain Knowledge : Experience in credit risk modeling, fraud detection, or financial services is highly desirable.
- Leadership : Strong ability to lead teams, manage projects, and communicate effectively with both technical and non-technical stakeholders.
- Regulatory Awareness: Understanding of financial regulations and compliance standards, particularly in the Nigerian context.
Why join Kuda?
At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits in areas including but not limited to:
A great and upbeat work environment populated by a multinational team
Pension
Career Development & growth
Competitive annual leave plus bank holidays
Competitive paid time off (Parental, Moving day, Birthday, Study leave etc)
Group life insurance
Medical insurance
Well-fare package (Wedding, Compassionate and etc)
Perkbox
️Goalr - employee wellness app
Award winning L&D training
We are advocates of work-life balance, working in a hybrid in office schedule
Kuda is proud to be an equal-opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent.
We don’t regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.
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3
Data Science Manager
Randburg, Gauteng
Wesbank
Posted 3 days ago
Job Viewed
Job Description
Data Science Manager page is loaded# Data Science Managerlocations: Randburgtime type: Full timeposted on: Posted Todaytime left to apply: End Date: October 23, 2025 (7 days left to apply)job requisition id: R41321# **Job Description**The Pricing Manager will lead strategic pricing for Transact interest and facility fees, driving revenue and profitability through data‑driven decision making. This role implements Analytics standards across assigned business units and converts data into monetisation opportunities by developing and deploying advanced mathematical models and commercial frameworks. The Pricing Manager uncovers hidden patterns and associations in customer and transaction data to shape pricing strategy, optimise channel design, and predict client behavior for improved product performance and customer outcomes.* Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.* Establish goals and strategies for area of accountability in collaboration with senior data analytics management.* Ensure 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 drive resolution of Privacy and Protection Audit.* Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.* Provide and use data and analytic insights to improve customer experience through a better understanding of the customers context to identify monetization opportunities.* Manage analytics team in the creation of high-quality analyses for all functions of the business, across area of accountability.* Create tactical plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.* Drive team performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check.* Analyse available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.* Ensure analytics productionization 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 Data and information management function and forums for resolution.* Oversee the appropriate manipulation and analysis of data for to meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.* Integrate analytics into operational processes to improve efficiency and client experience.* Ensure development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques.* Manage overall project dependencies management and long-term prioritization of the business's overall analytical needs and opportunities.* Serve as SME for analytics applying own understanding of the operations of the business product or service.* Define the business questions for Business unit that need be answered; define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.* Address business problems and opportunities through robust underlying analytics.* Translate business requirements into tangible solutions or models utilizing own understanding of business value and interrelated nature of projects, models and processes.* Ensure accurate development and application of 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.* Provide requirements to Business Information.* Management Function as Supplier or Owner of Data to ensure data is prepared for consumption as an organizational asset.* Create team tactical plans for achievement of outputs or deliverables in collaboration with Technology stakeholders to ensure the effective implementation of analytical solutions and models to support business requirements.* Ensure governance and compliance rules are followed in application and implementation of predictive models to enable the business to manage risk.* Maintain ownership and oversee the implementation of models.* Monitor output and accuracy of models.* Ensure the documentation and auditing of relevant models, projects and processes.* Provide input into business strategies through data analysis that proactively improve efficiency, identify risks, save costs and drive innovation.* Lead business through efforts that drive business performance and potential by using the existent and new data sources and techniques.* Enable business unit to understand its own health, finds growth levers, and identify opportunities for optimization.* Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner.* Ensure validation and interpretation of analytical results and creation of reports and presentations for data analytics management, departmental heads/management, and relevant stakeholders.* Collaborate with numerous departments across the business to assist in the proper use of data that ensure delivery of desired operational results.* Model and drive a data driven culture that values data as an asset with business value.* Lead relevant change and communications functions to drive functional maturity.* Manage people by executing management responsibilities and create an environment that encourages employee growth and performance excellence.* Prevent wastage and identify process improvements to contain and reduce costs.* 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.* Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.Additional requirements* Relevant BSC Degree / Actuarial Science* Minimum of 5 years' experience in a Data Science role* Relevant Pricing Experience* Experience Managing a teamAdditional requirementEngage in cross-functional relationships to obtain and to provide work support# # ***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.**23/10/25All 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
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4
Data Science Manager
Randburg, Gauteng
Rmbwestport
Posted 3 days ago
Job Viewed
Job Description
Data Science Manager page is loaded# Data Science Managerlocations: Randburgtime type: Full timeposted on: Posted Todaytime left to apply: End Date: October 23, 2025 (7 days left to apply)job requisition id: R41321# **Job Description**The Pricing Manager will lead strategic pricing for Transact interest and facility fees, driving revenue and profitability through data‑driven decision making. This role implements Analytics standards across assigned business units and converts data into monetisation opportunities by developing and deploying advanced mathematical models and commercial frameworks. The Pricing Manager uncovers hidden patterns and associations in customer and transaction data to shape pricing strategy, optimise channel design, and predict client behavior for improved product performance and customer outcomes.* Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.* Establish goals and strategies for area of accountability in collaboration with senior data analytics management.* Ensure 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 drive resolution of Privacy and Protection Audit.* Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.* Provide and use data and analytic insights to improve customer experience through a better understanding of the customers context to identify monetization opportunities.* Manage analytics team in the creation of high-quality analyses for all functions of the business, across area of accountability.* Create tactical plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.* Drive team performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check.* Analyse available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.* Ensure analytics productionization 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 Data and information management function and forums for resolution.* Oversee the appropriate manipulation and analysis of data for to meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.* Integrate analytics into operational processes to improve efficiency and client experience.* Ensure development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques.* Manage overall project dependencies management and long-term prioritization of the business's overall analytical needs and opportunities.* Serve as SME for analytics applying own understanding of the operations of the business product or service.* Define the business questions for Business unit that need be answered; define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.* Address business problems and opportunities through robust underlying analytics.* Translate business requirements into tangible solutions or models utilizing own understanding of business value and interrelated nature of projects, models and processes.* Ensure accurate development and application of 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.* Provide requirements to Business Information.* Management Function as Supplier or Owner of Data to ensure data is prepared for consumption as an organizational asset.* Create team tactical plans for achievement of outputs or deliverables in collaboration with Technology stakeholders to ensure the effective implementation of analytical solutions and models to support business requirements.* Ensure governance and compliance rules are followed in application and implementation of predictive models to enable the business to manage risk.* Maintain ownership and oversee the implementation of models.* Monitor output and accuracy of models.* Ensure the documentation and auditing of relevant models, projects and processes.* Provide input into business strategies through data analysis that proactively improve efficiency, identify risks, save costs and drive innovation.* Lead business through efforts that drive business performance and potential by using the existent and new data sources and techniques.* Enable business unit to understand its own health, finds growth levers, and identify opportunities for optimization.* Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner.* Ensure validation and interpretation of analytical results and creation of reports and presentations for data analytics management, departmental heads/management, and relevant stakeholders.* Collaborate with numerous departments across the business to assist in the proper use of data that ensure delivery of desired operational results.* Model and drive a data driven culture that values data as an asset with business value.* Lead relevant change and communications functions to drive functional maturity.* Manage people by executing management responsibilities and create an environment that encourages employee growth and performance excellence.* Prevent wastage and identify process improvements to contain and reduce costs.* 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.* Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.Additional requirements* Relevant BSC Degree / Actuarial Science* Minimum of 5 years' experience in a Data Science role* Relevant Pricing Experience* Experience Managing a teamAdditional requirementEngage in cross-functional relationships to obtain and to provide work support# # ***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.**23/10/25All 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
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5
Data Science Manager
Randburg, Gauteng
FNB Namibia
Posted 3 days ago
Job Viewed
Job Description
Data Science Manager page is loaded# Data Science Managerlocations: Randburgtime type: Full timeposted on: Posted Todaytime left to apply: End Date: October 23, 2025 (7 days left to apply)job requisition id: R41321# **Job Description**The Pricing Manager will lead strategic pricing for Transact interest and facility fees, driving revenue and profitability through data‑driven decision making. This role implements Analytics standards across assigned business units and converts data into monetisation opportunities by developing and deploying advanced mathematical models and commercial frameworks. The Pricing Manager uncovers hidden patterns and associations in customer and transaction data to shape pricing strategy, optimise channel design, and predict client behavior for improved product performance and customer outcomes.* Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.* Establish goals and strategies for area of accountability in collaboration with senior data analytics management.* Ensure 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 drive resolution of Privacy and Protection Audit.* Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.* Provide and use data and analytic insights to improve customer experience through a better understanding of the customers context to identify monetization opportunities.* Manage analytics team in the creation of high-quality analyses for all functions of the business, across area of accountability.* Create tactical plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.* Drive team performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check.* Analyse available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.* Ensure analytics productionization 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 Data and information management function and forums for resolution.* Oversee the appropriate manipulation and analysis of data for to meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.* Integrate analytics into operational processes to improve efficiency and client experience.* Ensure development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques.* Manage overall project dependencies management and long-term prioritization of the business's overall analytical needs and opportunities.* Serve as SME for analytics applying own understanding of the operations of the business product or service.* Define the business questions for Business unit that need be answered; define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.* Address business problems and opportunities through robust underlying analytics.* Translate business requirements into tangible solutions or models utilizing own understanding of business value and interrelated nature of projects, models and processes.* Ensure accurate development and application of 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.* Provide requirements to Business Information.* Management Function as Supplier or Owner of Data to ensure data is prepared for consumption as an organizational asset.* Create team tactical plans for achievement of outputs or deliverables in collaboration with Technology stakeholders to ensure the effective implementation of analytical solutions and models to support business requirements.* Ensure governance and compliance rules are followed in application and implementation of predictive models to enable the business to manage risk.* Maintain ownership and oversee the implementation of models.* Monitor output and accuracy of models.* Ensure the documentation and auditing of relevant models, projects and processes.* Provide input into business strategies through data analysis that proactively improve efficiency, identify risks, save costs and drive innovation.* Lead business through efforts that drive business performance and potential by using the existent and new data sources and techniques.* Enable business unit to understand its own health, finds growth levers, and identify opportunities for optimization.* Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner.* Ensure validation and interpretation of analytical results and creation of reports and presentations for data analytics management, departmental heads/management, and relevant stakeholders.* Collaborate with numerous departments across the business to assist in the proper use of data that ensure delivery of desired operational results.* Model and drive a data driven culture that values data as an asset with business value.* Lead relevant change and communications functions to drive functional maturity.* Manage people by executing management responsibilities and create an environment that encourages employee growth and performance excellence.* Prevent wastage and identify process improvements to contain and reduce costs.* 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.* Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.Additional requirements* Relevant BSC Degree / Actuarial Science* Minimum of 5 years' experience in a Data Science role* Relevant Pricing Experience* Experience Managing a teamAdditional requirementEngage in cross-functional relationships to obtain and to provide work support# # ***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.**23/10/25All 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
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6
Data Science Manager
Randburg, Gauteng
Spane4all
Posted 3 days ago
Job Viewed
Job Description
Data Science Manager page is loaded# Data Science Managerlocations: Randburgtime type: Full timeposted on: Posted Todaytime left to apply: End Date: October 23, 2025 (7 days left to apply)job requisition id: R41321# **Job Description**The Pricing Manager will lead strategic pricing for Transact interest and facility fees, driving revenue and profitability through data‑driven decision making. This role implements Analytics standards across assigned business units and converts data into monetisation opportunities by developing and deploying advanced mathematical models and commercial frameworks. The Pricing Manager uncovers hidden patterns and associations in customer and transaction data to shape pricing strategy, optimise channel design, and predict client behavior for improved product performance and customer outcomes.* Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.* Establish goals and strategies for area of accountability in collaboration with senior data analytics management.* Ensure 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 drive resolution of Privacy and Protection Audit.* Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.* Provide and use data and analytic insights to improve customer experience through a better understanding of the customers context to identify monetization opportunities.* Manage analytics team in the creation of high-quality analyses for all functions of the business, across area of accountability.* Create tactical plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.* Drive team performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check.* Analyse available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.* Ensure analytics productionization 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 Data and information management function and forums for resolution.* Oversee the appropriate manipulation and analysis of data for to meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.* Integrate analytics into operational processes to improve efficiency and client experience.* Ensure development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques.* Manage overall project dependencies management and long-term prioritization of the business's overall analytical needs and opportunities.* Serve as SME for analytics applying own understanding of the operations of the business product or service.* Define the business questions for Business unit that need be answered; define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.* Address business problems and opportunities through robust underlying analytics.* Translate business requirements into tangible solutions or models utilizing own understanding of business value and interrelated nature of projects, models and processes.* Ensure accurate development and application of 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.* Provide requirements to Business Information.* Management Function as Supplier or Owner of Data to ensure data is prepared for consumption as an organizational asset.* Create team tactical plans for achievement of outputs or deliverables in collaboration with Technology stakeholders to ensure the effective implementation of analytical solutions and models to support business requirements.* Ensure governance and compliance rules are followed in application and implementation of predictive models to enable the business to manage risk.* Maintain ownership and oversee the implementation of models.* Monitor output and accuracy of models.* Ensure the documentation and auditing of relevant models, projects and processes.* Provide input into business strategies through data analysis that proactively improve efficiency, identify risks, save costs and drive innovation.* Lead business through efforts that drive business performance and potential by using the existent and new data sources and techniques.* Enable business unit to understand its own health, finds growth levers, and identify opportunities for optimization.* Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner.* Ensure validation and interpretation of analytical results and creation of reports and presentations for data analytics management, departmental heads/management, and relevant stakeholders.* Collaborate with numerous departments across the business to assist in the proper use of data that ensure delivery of desired operational results.* Model and drive a data driven culture that values data as an asset with business value.* Lead relevant change and communications functions to drive functional maturity.* Manage people by executing management responsibilities and create an environment that encourages employee growth and performance excellence.* Prevent wastage and identify process improvements to contain and reduce costs.* 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.* Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.Additional requirements* Relevant BSC Degree / Actuarial Science* Minimum of 5 years' experience in a Data Science role* Relevant Pricing Experience* Experience Managing a teamAdditional requirementEngage in cross-functional relationships to obtain and to provide work support# # ***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.**23/10/25All 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
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Data Science Manager
Randburg, Gauteng
RMB Nigeria Limited
Posted 3 days ago
Job Viewed
Job Description
Data Science Manager page is loaded# Data Science Managerlocations: Randburgtime type: Full timeposted on: Posted Todaytime left to apply: End Date: October 23, 2025 (7 days left to apply)job requisition id: R41321# **Job Description**The Pricing Manager will lead strategic pricing for Transact interest and facility fees, driving revenue and profitability through data‑driven decision making. This role implements Analytics standards across assigned business units and converts data into monetisation opportunities by developing and deploying advanced mathematical models and commercial frameworks. The Pricing Manager uncovers hidden patterns and associations in customer and transaction data to shape pricing strategy, optimise channel design, and predict client behavior for improved product performance and customer outcomes.* Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.* Establish goals and strategies for area of accountability in collaboration with senior data analytics management.* Ensure 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 drive resolution of Privacy and Protection Audit.* Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.* Provide and use data and analytic insights to improve customer experience through a better understanding of the customers context to identify monetization opportunities.* Manage analytics team in the creation of high-quality analyses for all functions of the business, across area of accountability.* Create tactical plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.* Drive team performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check.* Analyse available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.* Ensure analytics productionization 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 Data and information management function and forums for resolution.* Oversee the appropriate manipulation and analysis of data for to meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.* Integrate analytics into operational processes to improve efficiency and client experience.* Ensure development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques.* Manage overall project dependencies management and long-term prioritization of the business's overall analytical needs and opportunities.* Serve as SME for analytics applying own understanding of the operations of the business product or service.* Define the business questions for Business unit that need be answered; define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.* Address business problems and opportunities through robust underlying analytics.* Translate business requirements into tangible solutions or models utilizing own understanding of business value and interrelated nature of projects, models and processes.* Ensure accurate development and application of 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.* Provide requirements to Business Information.* Management Function as Supplier or Owner of Data to ensure data is prepared for consumption as an organizational asset.* Create team tactical plans for achievement of outputs or deliverables in collaboration with Technology stakeholders to ensure the effective implementation of analytical solutions and models to support business requirements.* Ensure governance and compliance rules are followed in application and implementation of predictive models to enable the business to manage risk.* Maintain ownership and oversee the implementation of models.* Monitor output and accuracy of models.* Ensure the documentation and auditing of relevant models, projects and processes.* Provide input into business strategies through data analysis that proactively improve efficiency, identify risks, save costs and drive innovation.* Lead business through efforts that drive business performance and potential by using the existent and new data sources and techniques.* Enable business unit to understand its own health, finds growth levers, and identify opportunities for optimization.* Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner.* Ensure validation and interpretation of analytical results and creation of reports and presentations for data analytics management, departmental heads/management, and relevant stakeholders.* Collaborate with numerous departments across the business to assist in the proper use of data that ensure delivery of desired operational results.* Model and drive a data driven culture that values data as an asset with business value.* Lead relevant change and communications functions to drive functional maturity.* Manage people by executing management responsibilities and create an environment that encourages employee growth and performance excellence.* Prevent wastage and identify process improvements to contain and reduce costs.* 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.* Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.Additional requirements* Relevant BSC Degree / Actuarial Science* Minimum of 5 years' experience in a Data Science role* Relevant Pricing Experience* Experience Managing a teamAdditional requirementEngage in cross-functional relationships to obtain and to provide work support# # ***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.**23/10/25All 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
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This advertiser has chosen not to accept applicants from your region.
8
Data Science Manager
Randburg, Gauteng
FirstRand Namibia Limited
Posted 3 days ago
Job Viewed
Job Description
Data Science Manager page is loaded# Data Science Managerlocations: Randburgtime type: Full timeposted on: Posted Todaytime left to apply: End Date: October 23, 2025 (7 days left to apply)job requisition id: R41321# **Job Description**The Pricing Manager will lead strategic pricing for Transact interest and facility fees, driving revenue and profitability through data‑driven decision making. This role implements Analytics standards across assigned business units and converts data into monetisation opportunities by developing and deploying advanced mathematical models and commercial frameworks. The Pricing Manager uncovers hidden patterns and associations in customer and transaction data to shape pricing strategy, optimise channel design, and predict client behavior for improved product performance and customer outcomes.* Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.* Establish goals and strategies for area of accountability in collaboration with senior data analytics management.* Ensure 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 drive resolution of Privacy and Protection Audit.* Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.* Provide and use data and analytic insights to improve customer experience through a better understanding of the customers context to identify monetization opportunities.* Manage analytics team in the creation of high-quality analyses for all functions of the business, across area of accountability.* Create tactical plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.* Drive team performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check.* Analyse available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.* Ensure analytics productionization 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 Data and information management function and forums for resolution.* Oversee the appropriate manipulation and analysis of data for to meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.* Integrate analytics into operational processes to improve efficiency and client experience.* Ensure development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques.* Manage overall project dependencies management and long-term prioritization of the business's overall analytical needs and opportunities.* Serve as SME for analytics applying own understanding of the operations of the business product or service.* Define the business questions for Business unit that need be answered; define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.* Address business problems and opportunities through robust underlying analytics.* Translate business requirements into tangible solutions or models utilizing own understanding of business value and interrelated nature of projects, models and processes.* Ensure accurate development and application of 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.* Provide requirements to Business Information.* Management Function as Supplier or Owner of Data to ensure data is prepared for consumption as an organizational asset.* Create team tactical plans for achievement of outputs or deliverables in collaboration with Technology stakeholders to ensure the effective implementation of analytical solutions and models to support business requirements.* Ensure governance and compliance rules are followed in application and implementation of predictive models to enable the business to manage risk.* Maintain ownership and oversee the implementation of models.* Monitor output and accuracy of models.* Ensure the documentation and auditing of relevant models, projects and processes.* Provide input into business strategies through data analysis that proactively improve efficiency, identify risks, save costs and drive innovation.* Lead business through efforts that drive business performance and potential by using the existent and new data sources and techniques.* Enable business unit to understand its own health, finds growth levers, and identify opportunities for optimization.* Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner.* Ensure validation and interpretation of analytical results and creation of reports and presentations for data analytics management, departmental heads/management, and relevant stakeholders.* Collaborate with numerous departments across the business to assist in the proper use of data that ensure delivery of desired operational results.* Model and drive a data driven culture that values data as an asset with business value.* Lead relevant change and communications functions to drive functional maturity.* Manage people by executing management responsibilities and create an environment that encourages employee growth and performance excellence.* Prevent wastage and identify process improvements to contain and reduce costs.* 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.* Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.Additional requirements* Relevant BSC Degree / Actuarial Science* Minimum of 5 years' experience in a Data Science role* Relevant Pricing Experience* Experience Managing a teamAdditional requirementEngage in cross-functional relationships to obtain and to provide work support# # ***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.**23/10/25All 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
#J-18808-Ljbffr
#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
9