194 Science Intern jobs in South Africa

Canonical Cape Town, Western Cape, South Africa

Join to apply for the Director, Talent Science role at Canonical

Canonical Cape Town, Western Cape, South Africa

12 hours ago Be among the first 25 applicants

Join to apply for the Director, Talent Science role at Canonical

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Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent. We lead an effective hiring ecosystem to deliver talent acquisition excellence. We leverage data to enable evidence-based decisions, weaving behavioural science throughout our selection process, working closely with our Hiring Leadership team who drive hiring at Canonical.

We are hiring for a new senior leadership role in the Talent Science team to lead on delivery excellence. You will work directly with the Global Head of Talent Science and the people managers in the team. With overall accountability for project delivery relating to hiring outcomes you will deliver against strategic objectives, driving efficiencies and creating new processes whilst coaching and developing team members to grow their careers.

You will bring an analytical and objective approach to work and be seasoned in making data driven decisions relating to talent outcomes. Your experience will include being able to drive complete project roadmaps, experience interacting with senior leadership on talent related topics leveraging your thought leadership experience and the ability to influence and steer talent agendas internally. You will be capable of stepping up to lead the function when required. Experience of working with career frameworks and hiring outcomes is an essential requirement of this role.

Location: This role will be based remotely in the EMEA region.

The role entails

• Leading and delivering the strategic Talent Science project roadmap using exceptional project management capability and influencing skills to manage multiple projects at any given time
• Leveraging expertise from your career to date to design and implement solutions to complex problems that ultimately ensure we hire exceptional talent
• Ensuring all talent selection initiatives map to high performance outcomes and career frameworks
• Designing professional processes and frameworks while working closely with our management, allowing efficient delivery of our agenda
• Coaching and mentoring team members to grow and develop skill sets specifically around analytical capabilities and thought leadership, developing training materials and documentation to support team members
• Driving and representing the team in the absence of the Head of, acting as a credible and trusted adviser and an inspiring leader
• Working closely with company leaders to understand, appreciate and communicate our vision for talent at Canonical.
  
  

• Exceptional academic track record from both high school and university, with an undergraduate degree in a psychology or people based subject
• A track record of team leadership within the technology or consulting industry, with exceptional project management, to lead roadmap delivery and product development
• Proven ability to coach and mentor a team to deliver exceptional results
• Deep understanding of selection, career frameworks and building internal products to ensure that talent selection criteria matches desired outcomes
• Advanced analytical ability to dissect and analyse data using SQL, Python and statistical analysis
• Exceptional written and spoken English with strong presentation skills for a senior audience
• Ability to travel internationally 4 times a year for company events
  
  

• Advanced psychometric assessments with an excellent understanding of the marketplace and vendors
• A deep understanding of human behaviour and what drives intrinsic motivation
• Experience of using Superset and advanced dashboarding
  
  

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events
  
  

• Seniority level Director

• Employment type Full-time

• Job function Human Resources
• Industries Software Development

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Join to apply for the Maths & Science Facilitator role at Hashtag Nonprofit NPC

1 day ago Be among the first 25 applicants

Join to apply for the Maths & Science Facilitator role at Hashtag Nonprofit NPC

• Primary Science Programme
  
  

• Deadline:
  
  

• Region:
  
  

• Type of employment:
  
  

• Lead & manage impactful education programmes
• Facilitate teacher training workshops (Maths, NST & others)
• Coordinate projects, partnerships & special events
• Support in budgeting, reporting & ensure quality assurance
  
  

• Education qualification (postgraduate advantageous)
• Project and/or programme management & facilitation skills
• Communication & stakeholder engagement
• Digital skills & experience with online facilitation
  
  

• Date posted:
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Human Resources
• Industries Non-profit Organizations

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Job Title: Computer Science Teacher
Location: East London
Job Type: Full-Time (5 days a week), Long Term

About Us:
Remedy is a recruitment agency connecting qualified educators with schools across London. We are seeking a motivated Computer Science Teacher for a long-term, full-time position in East London.

Job Overview:
As a Computer Science Teacher, you'll help students develop their understanding of computer science principles. You will deliver engaging lessons, assess progress, and work with your department to enhance the curriculum. The ideal Computer Science Teacher will hold a PGCE and Qualified Teacher Status (QTS) or Qualified Teacher Learning and Skills (QTLS). NQTs and those with equivalent qualifications are welcome to apply.

Key Responsibilities:

Inspire students to develop technical and programming skills.

Assess and evaluate student progress in computer science.

Work closely with other Computer Science Teachers and staff.

Participate in extracurricular activities and events.

Requirements:

QTS or QTLS certification.

Passion for teaching computer science.

Excellent communication and classroom management skills.

NQTs are welcome to apply.

Apply today if you're a qualified Computer Science Teacher looking for a long-term role in East London!

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent. We lead an effective hiring ecosystem to deliver talent acquisition excellence. We leverage data to enable evidence-based decisions, weaving behavioural science throughout our selection process, working closely with our Hiring Leadership team who drive hiring at Canonical.

We are hiring for a new senior leadership role in the Talent Science team to lead on delivery excellence. You will work directly with the Global Head of Talent Science and the people managers in the team. With overall accountability for project delivery relating to hiring outcomes you will deliver against strategic objectives, driving efficiencies and creating new processes whilst coaching and developing team members to grow their careers.

You will bring an analytical and objective approach to work and be seasoned in making data driven decisions relating to talent outcomes. Your experience will include being able to drive complete project roadmaps, experience interacting with senior leadership on talent related topics leveraging your thought leadership experience and the ability to influence and steer talent agendas internally. You will be capable of stepping up to lead the function when required. Experience of working with career frameworks and hiring outcomes is an essential requirement of this role.

Location: This role will be based remotely in the EMEA region.

• Leading and delivering the strategic Talent Science project roadmap using exceptional project management capability and influencing skills to manage multiple projects at any given time
• Leveraging expertise from your career to date to design and implement solutions to complex problems that ultimately ensure we hire exceptional talent
• Ensuring all talent selection initiatives map to high performance outcomes and career frameworks
• Designing professional processes and frameworks while working closely with our management, allowing efficient delivery of our agenda
• Coaching and mentoring team members to grow and develop skill sets specifically around analytical capabilities and thought leadership, developing training materials and documentation to support team members
• Driving and representing the team in the absence of the Head of, acting as a credible and trusted adviser and an inspiring leader
• Working closely with company leaders to understand, appreciate and communicate our vision for talent at Canonical.

• Exceptional academic track record from both high school and university, with an undergraduate degree in a psychology or people based subject
• Significant experience working with talent outcomes in the corporate space, ideally in the technology or consulting industry
• Deep understanding of career frameworks and how to ensure that talent selection criteria matches desired outcomes
• Advanced analytical ability to dissect and analyse data using SQL, R and/or Python
• Results driven with the ability to work at pace, with strong project management skills to roadmap, plan and deliver objectives working with the team
• A track record of leadership and commitment to delivering strategic objectives and developing team members, delivering outstanding results
• Professional written and spoken English with excellent presentation skills
• Ability to travel internationally twice a year, for company events up to two weeks long

• Experience with or understanding of advanced psychometric assessments with an excellent understanding of the marketplace and vendors
• A deep understanding of human behaviour and what drives intrinsic motivation
• An expert view on the ATS market including previous experience of building automations to create hiring process efficiencies.

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer.

Beauparc Mogalakwena, Limpopo, South Africa

Join to apply for the Data Science Lead role at Beauparc

Beauparc Mogalakwena, Limpopo, South Africa

Join to apply for the Data Science Lead role at Beauparc

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.
  
  

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.
  
  

• Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
• Experience: Over 3 years of experience in data analytics
• Technical Skills: Proficiency in data analysis and visualization tools such as SQL, Excel, Tableau, Power BI, or similar. A focus on Power BI experience.
• Dashboard Creation Expertise: Extensive experience in designing and implementing effective dashboards that provide real-time insights and enable the business to track performance and make informed decisions.
• Additional Knowledge: Experience in strategic planning using quantitative techniques, managing large data volumes, and advanced statistical techniques.
• Interpersonal Skills: Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.
• Experience using Data Science algorithms and methods to solve business problems using R or Python
• Excellent capability in SQL to extract data from databases
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Utilities

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Join to apply for the Associate Professor:Mathematics Science role at ExecutivePlacements.com - The JOB Portal

3 days ago Be among the first 25 applicants

Join to apply for the Associate Professor:Mathematics Science role at ExecutivePlacements.com - The JOB Portal

SUMMARY:

To facilitate teaching and learning in Applied Mathematics and Mathematics at undergraduate and post

Associate Professor:Mathematics Science

Recruiter:

HR Genie

Job Ref:

4507

Date posted:

Thursday, July 10, 2025

Location:

Gqeberha, South Africa

Salary:

Market related

SUMMARY:

To facilitate teaching and learning in Applied Mathematics and Mathematics at undergraduate and post

POSITION INFO:

Nelson Mandela University reserves the right not to make an appointment. In considering candidates for appointment into the advertised posts, preference will be accorded to persons from a designated group in accordance with the approved Nelson Mandela University Employment Equity Plan.

CORE PURPOSE OF JOB

To facilitate teaching and learning in Applied Mathematics and Mathematics at undergraduate and postgraduate level, to contribute to the administration of the department as needed, and to undertake research.

KEY PERFORMANCE AREAS

• Teach undergraduate and postgraduate students.
• Develop course material for undergraduate and postgraduate teaching modules.
• Attract external funding and provide research supervision to postgraduate students.
• Provide expertise in Computational Mathematics (Numerical Analysis, Optimisation).
• Perform teaching-related and departmental administrative duties.
• Conduct research and publish results in peer-reviewed scientific journals.
• Supervise postgraduate students and provide research mentorship to junior staff.
• Interact with relevant industry groups, government departments and independent research institutes (where applicable) to further the goals of the Department and of the University.
• Provide some academic and research leadership.
  
  

• Demonstrated abilities to teach undergraduate students and supervise postgraduate students.
• Proven research and publication record.
• NRF-rated or evidence that an application is likely to be successful within three years of appointment.
• A proven record of attracting external funding for research.
• Ability to work with and contribute to a team effort.
• Proven record or potential for providing some academic leadership.
  
  

• Minimum qualification is a Ph.D. degree relevant to the field of Applied Mathematics.
• Minimum of 7 years relevant working experience, with an academic related profile. This includes lecturing experience at all levels.
• Evidence of successful postgraduate supervision and throughput.
• Evidence of participating and or leading in a research team or project.
• Evidence of research publications in some national and international accredited conferences and/or DHET accredited journals in related fields.
• Evidence of leadership ability.
• A comprehensive CV must accompany the application, together with a letter motivating why the candidate should be considered for the post.
• Candidates may be required to deliver a short lecture on an approved topic.
  
  
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Education and Training
• Industries Advertising Services

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MANCOSA, a DHET registered and CHE accredited private Higher Education distance provider, offering Undergraduate and Postgraduate qualifications, has/have the following vacancy/vacancies available:Academic – Communication Science

CORE PURPOSE:

To provide Academic Leadership across a range of Undergraduate/Postgraduate education programmes.

CORE FUNCTIONS:

· Module Coordinator for area of specialisation (SME)

· To facilitate face-to-face and online lectures

· Develop, review and moderate curriculum and assessments

· Provide Academic consultation support

· Grade assessments and provide stakeholder feedback

· Undertake programme and module reviews

· Active involvement in research and publishing

· Identify students at-risk and execute pastoral care

· Undertake programme and quality management administrative tasks

· 3 - 5 years academic experience

· Demonstrate research engagement over the last 3 years

· Quantitative and Qualitative Research Methodology knowledge and experience

· Be familiar with higher, distance and online education

· Be familiar with using learning management systems

· Have a working knowledge of the South African Higher Education Regulatory Framework

· Must be able to work within pre-determined time frames and deadlines

· Must be able to speak confidently and demonstrate professionalism

· Must be a collegial team player

· Proficient in Microsoft Office (Excel, Word, PowerPoint, Access, Internet and Email)

· Excellent writing and reporting skills

· Possess a high level of ethics and confidentiality

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