112 Data Science jobs in Western Cape

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.

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.
  
  

• Application Deadline: 29 October 2025
• Job Location: Stellenbosch, Western Cape
• Job Title: COO (Data Science)
• Education Level: Bachelors Degree
• Job Level: Management
• Minimum Experience: Years

Duties and Responsibilities:

• Working as part of a high-performance, service-driven group that prides itself on attracting the finest talent, you will find yourself in an environment buzzing with energy, where smart, motivated people collaborate to deliver the best data and technology solutions.
• Will also coordinate the integration of various software systems and collaborate with teams across business units and countries to enable data-driven solutions, improve business processes, and support informed decision-making.

Requirements:

• A degree in a relevant field of study, such as data science, statistics, engineering, or computer science
• At least ten years' experience in relevant fields, including data, analytics, data science, software development, and/or engineering
• Experience in people management and leadership
• Familiarity with CRM software (e.g., HubSpot, Salesforce)
• Advanced understanding of BI and analytics tools (e.g., Tableau, Power BI, Google Analytics)
• Familiarity with data science tools and programming languages (e.g., R, Python, MATLAB, pandas) as well as database languages
• Knowledge of data pipelines and data integrations
• Proven experience in building a data strategy and executing projects, including data science and AI applications
• Experience managing technology projects and product development
• Ability to identify and communicate value-adding, data-driven insights to influence marketing, e-commerce, and broader business decisions
• Strong communication skills across all levels of the organisation
• Willingness to travel internationally
• Availability to work on-site, five days per week
• Knowledge of GDPR and POPIA, with experience implementing compliance measures across business operations
• Experience in e-commerce
• Proactive, creative, and able to take initiative

Overview

Join or sign in to apply for the Lecturer - Module Coordinator – Data Science role at Stadio

Location: Durbanville; Remote work: Only remote work; Education level: Masters; Job level: Mid/Senior; Type: Permanent; Reference: #MCDataSci; Company: Stadio

• Study material development: Oversee and manage the development or review of study guides (full or wrap-around)
• Seek feedback from all stakeholders and keep a record of required changes to study guides in anticipation of the review cycle
• Monitor the appropriateness of the prescribed textbook and editions
• Ensure continued alignment between study guide and textbook, where applicable
• Update study guides to cater for new textbook editions

• Draft all formal assessments for allocated modules
• Consider internal and external pre-moderation feedback and implement changes as required
• Conduct internal pre-moderation for modules in field of expertise
• Conduct annual meetings with all campus lecturers to discuss the assessment strategy
• Appoint suitably qualified internal and external moderators
• Brief markers and moderators, and provide content support during the marking process
• Mark a prescribed minimum number of assessments (+- 3) to fine tune marking guideline/memorandum
• Consider markers’ reports and decide on appropriate action
• Consider moderators’ reports and decide on appropriate action, in consultation with campus lecturers, HOS and subject coordinator (if any)
• Conduct post-assessment meetings with all campus lecturers to reflect on success/concerns with assessments
• Consider and analyse cross-campus success rates
• Sign off on assessment results
• Actively participate in the investigation/management of Red/Fire module status

• Conduct research in the field of expertise and/or learning design in the field of expertise
• Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
• Stay informed about emerging trends in higher education and instructional methodologies
• Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing
• Actively collaborate with campus lecturers to continuously enhance the learning journey

• Design and draft materials needed for the course environment (announcements, etc.)
• Populate and maintain the Canvas Blueprint course environment for modules owned

• Develop and deliver at least two lectures per module per semester for CL students, online live
• Record at least two online lectures for DL students per semester per module
• Deliver guest lectures in the field of expertise on STADIO modules as appropriate

• Conduct research in the field of expertise and/or learning design in the field of expertise
• Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
• Stay informed about emerging trends in higher education and instructional methodologies
• Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing

• Master’s degree in Data Science, Statistics, Computer Science, or a related discipline.
• A Doctoral degree will be an advantage
• At least 5 years’ Higher Education experience in Data Science or Analytics.
• Strong knowledge of Python, R, machine learning, statistical modelling, and big data tools.
• Industry or research experience in applying data science to real-world problems.

• Ability to balance theoretical foundations with applied industry-relevant case studies.
• Strong quantitative and computational thinking.
• Ability to coordinate modules that articulate into postgraduate Data pathways.
• Engagement with professional and industry networks to keep content current.

Posted on 19 Sep 11:18, Closing date 5 Oct

• Mid-Senior level

• Full-time

• Education and Training

Referrals increase your chances of interviewing at Stadio by 2x

Get notified about new Lecturer jobs in Durbanville, Western Cape, South Africa .

Overview

Join or sign in to apply for the Lecturer - Module Coordinator – Data Science role at Stadio

Location: Durbanville; Remote work: Only remote work; Education level: Masters; Job level: Mid/Senior; Type: Permanent; Reference: #MCDataSci; Company: Stadio

• Study material development: Oversee and manage the development or review of study guides (full or wrap-around)
• Seek feedback from all stakeholders and keep a record of required changes to study guides in anticipation of the review cycle
• Monitor the appropriateness of the prescribed textbook and editions
• Ensure continued alignment between study guide and textbook, where applicable
• Update study guides to cater for new textbook editions

• Draft all formal assessments for allocated modules
• Consider internal and external pre-moderation feedback and implement changes as required
• Conduct internal pre-moderation for modules in field of expertise
• Conduct annual meetings with all campus lecturers to discuss the assessment strategy
• Appoint suitably qualified internal and external moderators
• Brief markers and moderators, and provide content support during the marking process
• Mark a prescribed minimum number of assessments (+- 3) to fine tune marking guideline/memorandum
• Consider markers’ reports and decide on appropriate action
• Consider moderators’ reports and decide on appropriate action, in consultation with campus lecturers, HOS and subject coordinator (if any)
• Conduct post-assessment meetings with all campus lecturers to reflect on success/concerns with assessments
• Consider and analyse cross-campus success rates
• Sign off on assessment results
• Actively participate in the investigation/management of Red/Fire module status

• Conduct research in the field of expertise and/or learning design in the field of expertise
• Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
• Stay informed about emerging trends in higher education and instructional methodologies
• Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing
• Actively collaborate with campus lecturers to continuously enhance the learning journey

• Design and draft materials needed for the course environment (announcements, etc.)
• Populate and maintain the Canvas Blueprint course environment for modules owned

• Develop and deliver at least two lectures per module per semester for CL students, online live
• Record at least two online lectures for DL students per semester per module
• Deliver guest lectures in the field of expertise on STADIO modules as appropriate

• Conduct research in the field of expertise and/or learning design in the field of expertise
• Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
• Stay informed about emerging trends in higher education and instructional methodologies
• Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing

• Master’s degree in Data Science, Statistics, Computer Science, or a related discipline.
• A Doctoral degree will be an advantage
• At least 5 years’ Higher Education experience in Data Science or Analytics.
• Strong knowledge of Python, R, machine learning, statistical modelling, and big data tools.
• Industry or research experience in applying data science to real-world problems.

• Ability to balance theoretical foundations with applied industry-relevant case studies.
• Strong quantitative and computational thinking.
• Ability to coordinate modules that articulate into postgraduate Data pathways.
• Engagement with professional and industry networks to keep content current.

Posted on 19 Sep 11:18, Closing date 5 Oct

• Mid-Senior level

• Full-time

• Education and Training

Referrals increase your chances of interviewing at Stadio by 2x

Get notified about new Lecturer jobs in Durbanville, Western Cape, South Africa .

Overview

Join or sign in to apply for the Lecturer - Module Coordinator – Data Science role at Stadio

Location: Durbanville; Remote work: Only remote work; Education level: Masters; Job level: Mid/Senior; Type: Permanent; Reference: #MCDataSci; Company: Stadio

• Study material development: Oversee and manage the development or review of study guides (full or wrap-around)
• Seek feedback from all stakeholders and keep a record of required changes to study guides in anticipation of the review cycle
• Monitor the appropriateness of the prescribed textbook and editions
• Ensure continued alignment between study guide and textbook, where applicable
• Update study guides to cater for new textbook editions

• Draft all formal assessments for allocated modules
• Consider internal and external pre-moderation feedback and implement changes as required
• Conduct internal pre-moderation for modules in field of expertise
• Conduct annual meetings with all campus lecturers to discuss the assessment strategy
• Appoint suitably qualified internal and external moderators
• Brief markers and moderators, and provide content support during the marking process
• Mark a prescribed minimum number of assessments (+- 3) to fine tune marking guideline/memorandum
• Consider markers’ reports and decide on appropriate action
• Consider moderators’ reports and decide on appropriate action, in consultation with campus lecturers, HOS and subject coordinator (if any)
• Conduct post-assessment meetings with all campus lecturers to reflect on success/concerns with assessments
• Consider and analyse cross-campus success rates
• Sign off on assessment results
• Actively participate in the investigation/management of Red/Fire module status

• Conduct research in the field of expertise and/or learning design in the field of expertise
• Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
• Stay informed about emerging trends in higher education and instructional methodologies
• Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing
• Actively collaborate with campus lecturers to continuously enhance the learning journey

• Design and draft materials needed for the course environment (announcements, etc.)
• Populate and maintain the Canvas Blueprint course environment for modules owned

• Develop and deliver at least two lectures per module per semester for CL students, online live
• Record at least two online lectures for DL students per semester per module
• Deliver guest lectures in the field of expertise on STADIO modules as appropriate

• Conduct research in the field of expertise and/or learning design in the field of expertise
• Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
• Stay informed about emerging trends in higher education and instructional methodologies
• Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing

• Master’s degree in Data Science, Statistics, Computer Science, or a related discipline.
• A Doctoral degree will be an advantage
• At least 5 years’ Higher Education experience in Data Science or Analytics.
• Strong knowledge of Python, R, machine learning, statistical modelling, and big data tools.
• Industry or research experience in applying data science to real-world problems.

• Ability to balance theoretical foundations with applied industry-relevant case studies.
• Strong quantitative and computational thinking.
• Ability to coordinate modules that articulate into postgraduate Data pathways.
• Engagement with professional and industry networks to keep content current.

Posted on 19 Sep 11:18, Closing date 5 Oct

• Mid-Senior level

• Full-time

• Education and Training

Referrals increase your chances of interviewing at Stadio by 2x

Get notified about new Lecturer jobs in Durbanville, Western Cape, South Africa .

Overview

Join or sign in to apply for the Lecturer - Module Coordinator – Data Science role at Stadio

Location: Durbanville; Remote work: Only remote work; Education level: Masters; Job level: Mid/Senior; Type: Permanent; Reference: #MCDataSci; Company: Stadio

• Study material development: Oversee and manage the development or review of study guides (full or wrap-around)
• Seek feedback from all stakeholders and keep a record of required changes to study guides in anticipation of the review cycle
• Monitor the appropriateness of the prescribed textbook and editions
• Ensure continued alignment between study guide and textbook, where applicable
• Update study guides to cater for new textbook editions

• Draft all formal assessments for allocated modules
• Consider internal and external pre-moderation feedback and implement changes as required
• Conduct internal pre-moderation for modules in field of expertise
• Conduct annual meetings with all campus lecturers to discuss the assessment strategy
• Appoint suitably qualified internal and external moderators
• Brief markers and moderators, and provide content support during the marking process
• Mark a prescribed minimum number of assessments (+- 3) to fine tune marking guideline/memorandum
• Consider markers’ reports and decide on appropriate action
• Consider moderators’ reports and decide on appropriate action, in consultation with campus lecturers, HOS and subject coordinator (if any)
• Conduct post-assessment meetings with all campus lecturers to reflect on success/concerns with assessments
• Consider and analyse cross-campus success rates
• Sign off on assessment results
• Actively participate in the investigation/management of Red/Fire module status

• Conduct research in the field of expertise and/or learning design in the field of expertise
• Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
• Stay informed about emerging trends in higher education and instructional methodologies
• Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing
• Actively collaborate with campus lecturers to continuously enhance the learning journey

• Design and draft materials needed for the course environment (announcements, etc.)
• Populate and maintain the Canvas Blueprint course environment for modules owned

• Develop and deliver at least two lectures per module per semester for CL students, online live
• Record at least two online lectures for DL students per semester per module
• Deliver guest lectures in the field of expertise on STADIO modules as appropriate

• Conduct research in the field of expertise and/or learning design in the field of expertise
• Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
• Stay informed about emerging trends in higher education and instructional methodologies
• Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing

• Master’s degree in Data Science, Statistics, Computer Science, or a related discipline.
• A Doctoral degree will be an advantage
• At least 5 years’ Higher Education experience in Data Science or Analytics.
• Strong knowledge of Python, R, machine learning, statistical modelling, and big data tools.
• Industry or research experience in applying data science to real-world problems.

• Ability to balance theoretical foundations with applied industry-relevant case studies.
• Strong quantitative and computational thinking.
• Ability to coordinate modules that articulate into postgraduate Data pathways.
• Engagement with professional and industry networks to keep content current.

Posted on 19 Sep 11:18, Closing date 5 Oct

• Mid-Senior level

• Full-time

• Education and Training

Referrals increase your chances of interviewing at Stadio by 2x

Get notified about new Lecturer jobs in Durbanville, Western Cape, South Africa .

Overview

Join or sign in to apply for the Lecturer - Module Coordinator – Data Science role at Stadio

Location: Durbanville; Remote work: Only remote work; Education level: Masters; Job level: Mid/Senior; Type: Permanent; Reference: #MCDataSci; Company: Stadio

• Study material development: Oversee and manage the development or review of study guides (full or wrap-around)
• Seek feedback from all stakeholders and keep a record of required changes to study guides in anticipation of the review cycle
• Monitor the appropriateness of the prescribed textbook and editions
• Ensure continued alignment between study guide and textbook, where applicable
• Update study guides to cater for new textbook editions

• Draft all formal assessments for allocated modules
• Consider internal and external pre-moderation feedback and implement changes as required
• Conduct internal pre-moderation for modules in field of expertise
• Conduct annual meetings with all campus lecturers to discuss the assessment strategy
• Appoint suitably qualified internal and external moderators
• Brief markers and moderators, and provide content support during the marking process
• Mark a prescribed minimum number of assessments (+- 3) to fine tune marking guideline/memorandum
• Consider markers’ reports and decide on appropriate action
• Consider moderators’ reports and decide on appropriate action, in consultation with campus lecturers, HOS and subject coordinator (if any)
• Conduct post-assessment meetings with all campus lecturers to reflect on success/concerns with assessments
• Consider and analyse cross-campus success rates
• Sign off on assessment results
• Actively participate in the investigation/management of Red/Fire module status

• Conduct research in the field of expertise and/or learning design in the field of expertise
• Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
• Stay informed about emerging trends in higher education and instructional methodologies
• Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing
• Actively collaborate with campus lecturers to continuously enhance the learning journey

• Design and draft materials needed for the course environment (announcements, etc.)
• Populate and maintain the Canvas Blueprint course environment for modules owned

• Develop and deliver at least two lectures per module per semester for CL students, online live
• Record at least two online lectures for DL students per semester per module
• Deliver guest lectures in the field of expertise on STADIO modules as appropriate

• Conduct research in the field of expertise and/or learning design in the field of expertise
• Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
• Stay informed about emerging trends in higher education and instructional methodologies
• Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing

• Master’s degree in Data Science, Statistics, Computer Science, or a related discipline.
• A Doctoral degree will be an advantage
• At least 5 years’ Higher Education experience in Data Science or Analytics.
• Strong knowledge of Python, R, machine learning, statistical modelling, and big data tools.
• Industry or research experience in applying data science to real-world problems.

• Ability to balance theoretical foundations with applied industry-relevant case studies.
• Strong quantitative and computational thinking.
• Ability to coordinate modules that articulate into postgraduate Data pathways.
• Engagement with professional and industry networks to keep content current.

Posted on 19 Sep 11:18, Closing date 5 Oct

• Mid-Senior level

• Full-time

• Education and Training

Referrals increase your chances of interviewing at Stadio by 2x

Get notified about new Lecturer jobs in Durbanville, Western Cape, South Africa .

Overview

Join or sign in to apply for the Lecturer - Module Coordinator – Data Science role at Stadio

Location: Durbanville; Remote work: Only remote work; Education level: Masters; Job level: Mid/Senior; Type: Permanent; Reference: #MCDataSci; Company: Stadio

• Study material development: Oversee and manage the development or review of study guides (full or wrap-around)
• Seek feedback from all stakeholders and keep a record of required changes to study guides in anticipation of the review cycle
• Monitor the appropriateness of the prescribed textbook and editions
• Ensure continued alignment between study guide and textbook, where applicable
• Update study guides to cater for new textbook editions

• Draft all formal assessments for allocated modules
• Consider internal and external pre-moderation feedback and implement changes as required
• Conduct internal pre-moderation for modules in field of expertise
• Conduct annual meetings with all campus lecturers to discuss the assessment strategy
• Appoint suitably qualified internal and external moderators
• Brief markers and moderators, and provide content support during the marking process
• Mark a prescribed minimum number of assessments (+- 3) to fine tune marking guideline/memorandum
• Consider markers’ reports and decide on appropriate action
• Consider moderators’ reports and decide on appropriate action, in consultation with campus lecturers, HOS and subject coordinator (if any)
• Conduct post-assessment meetings with all campus lecturers to reflect on success/concerns with assessments
• Consider and analyse cross-campus success rates
• Sign off on assessment results
• Actively participate in the investigation/management of Red/Fire module status

• Conduct research in the field of expertise and/or learning design in the field of expertise
• Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
• Stay informed about emerging trends in higher education and instructional methodologies
• Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing
• Actively collaborate with campus lecturers to continuously enhance the learning journey

• Design and draft materials needed for the course environment (announcements, etc.)
• Populate and maintain the Canvas Blueprint course environment for modules owned

• Develop and deliver at least two lectures per module per semester for CL students, online live
• Record at least two online lectures for DL students per semester per module
• Deliver guest lectures in the field of expertise on STADIO modules as appropriate

• Conduct research in the field of expertise and/or learning design in the field of expertise
• Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
• Stay informed about emerging trends in higher education and instructional methodologies
• Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing

• Master’s degree in Data Science, Statistics, Computer Science, or a related discipline.
• A Doctoral degree will be an advantage
• At least 5 years’ Higher Education experience in Data Science or Analytics.
• Strong knowledge of Python, R, machine learning, statistical modelling, and big data tools.
• Industry or research experience in applying data science to real-world problems.

• Ability to balance theoretical foundations with applied industry-relevant case studies.
• Strong quantitative and computational thinking.
• Ability to coordinate modules that articulate into postgraduate Data pathways.
• Engagement with professional and industry networks to keep content current.

Posted on 19 Sep 11:18, Closing date 5 Oct

• Mid-Senior level

• Full-time

• Education and Training

Referrals increase your chances of interviewing at Stadio by 2x

Get notified about new Lecturer jobs in Durbanville, Western Cape, South Africa .