133 Deep Learning jobs in South Africa

Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship. If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! AIMS South Africa in Cape Town, a few meters from the beach! ?Application deadline: applications will be reviewed as they are receivedStart date: immediate WWF Report & Post-Doctoral Fellowship Opportunity WWF Report on Wildlife Population A recent report issued by theWWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals. Fellowship Opportunity TheAfrican Institute for Mathematical Sciences (AIMS) andStellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues. This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in Tensor Flow or other libraries. Research outputs will be submitted to Q1 ranked international journals. The fellow will work closely withDr. Emmanuel Dufourq and theMachine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda. Core Responsibilities Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks. Maintain research code in a Git Hub repository and use current programming practices. Actively participate in research meetings and take initiative to grow the group’s collaborative network. Co-supervise students in the area of deep learning for wildlife monitoring. Assist the research group in research and academic tasks. 40 hours of research work per week. Requirements Ph. D. in a relevant mathematical science (e.g. computer science, mathematics, …). Strong experience in deep learning (Tensor Flow, Py Torch,…) and Python programming. Clear evidence of completed deep learning projects in computer vision or audio tasks. Good mathematical and problem solving skills as the candidate will actively engage in this. A strong desire to apply machine learning to bioacoustics problems. Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here). Strong communication skills (English written, oral, and presentation). If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time! The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply. Start date Immediately, in-person in Cape Town Applications must include A complete CV, Proof of Ph. D. completion, A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest. Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position. Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis). DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications. #J-18808-Ljbffr

Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship. If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! AIMS South Africa in Cape Town, a few meters from the beach! ?Application deadline: applications will be reviewed as they are receivedStart date: immediate WWF Report & Post-Doctoral Fellowship Opportunity WWF Report on Wildlife Population A recent report issued by theWWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals. Fellowship Opportunity TheAfrican Institute for Mathematical Sciences (AIMS) andStellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues. This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in Tensor Flow or other libraries. Research outputs will be submitted to Q1 ranked international journals. The fellow will work closely withDr. Emmanuel Dufourq and theMachine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda. Core Responsibilities Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks. Maintain research code in a Git Hub repository and use current programming practices. Actively participate in research meetings and take initiative to grow the group’s collaborative network. Co-supervise students in the area of deep learning for wildlife monitoring. Assist the research group in research and academic tasks. 40 hours of research work per week. Requirements Ph. D. in a relevant mathematical science (e.g. computer science, mathematics, …). Strong experience in deep learning (Tensor Flow, Py Torch,…) and Python programming. Clear evidence of completed deep learning projects in computer vision or audio tasks. Good mathematical and problem solving skills as the candidate will actively engage in this. A strong desire to apply machine learning to bioacoustics problems. Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here). Strong communication skills (English written, oral, and presentation). If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time! The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply. Start date Immediately, in-person in Cape Town Applications must include A complete CV, Proof of Ph. D. completion, A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest. Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position. Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis). DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications. #J-18808-Ljbffr

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
  
  

Requirements

• 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.
  
  

Benefits

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. #J-18808-Ljbffr

Overview

Eduvos is looking to hire the services of a Data Science Lecturer at our Umhlanga campus on a part-time basis.

Type of Appointment

Independent Contractor (part-time; flexible workhours agreement)

Purpose

To lecture Information Technology-related modules in the faculty on a part-time (contractual) basis. To assist in the administration and departmental affairs and activities as required by the academic department.

Seniority level

• Associate

Employment type

• Contract

Job function

• Education and Training

Industries

• Higher Education

#J-18808-Ljbffr

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.

#J-18808-Ljbffr

About The Role

• 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.

Requirements

• 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

About Us

Join us on the journey….

Over the past 30 years, Beauparc has continued to grow and acquire businesses that all share a very similar vision and set of values. We’re now a group of almost 3000 people, all contributing to that growth and success.

Whilst Beauparc is the parent company to numerous brands, we all share an ambitious vision for the future. Our primary goal is to ensure the safety and wellbeing of our people and connected partners is front and centre. As a team, we’re safer together. We deliver our customers with a partnership approach to managing their resources responsibly. We constantly push the boundaries of innovation. What’s good today can be better tomorrow.

Beauparc is not just a company, it’s a resource recovery business. Over the past three decades we’ve grown and diversified significantly, we believe that great leadership is rooted in strong values. As leaders within this industry, we’re committed to shaping a better future for our friends, families and communities. Our philosophy remains unchanged, balancing customer satisfaction with environmentally sustainable practices. Exceptional customer service, and unwavering dedication to sustainability are the cornerstones of our business.

Our journey is dependent upon talented, passionate, and dedicated people that constantly strive and challenge each other for better outcomes.

Take the first step today and join us on the journey……….

Beauparc aims to attract and retain a skilled and diverse workforce that best represents the talent available in the communities in which our assets are located and our employees reside.

#J-18808-Ljbffr

SWATX Cape Town, Western Cape, South Africa

Data Science Manager

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders

Preferred Certificates

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

#J-18808-Ljbffr

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Beauparc Mogalakwena, Limpopo, South Africa

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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.
  
  

About The Role

Main Responsibilities:

• 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.
  
  

Requirements

• 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
  
  

About You

About Us

Join us on the journey….

Over the past 30 years, Beauparc has continued to grow and acquire businesses that all share a very similar vision and set of values. We’re now a group of almost 3000 people, all contributing to that growth and success.

Whilst Beauparc is the parent company to numerous brands, we all share an ambitious vision for the future. Our primary goal is to ensure the safety and wellbeing of our people and connected partners is front and centre. As a team, we’re safer together. We deliver our customers with a partnership approach to managing their resources responsibly. We constantly push the boundaries of innovation. What’s good today can be better tomorrow.

Beauparc is not just a company, it’s a resource recovery business. Over the past three decades we’ve grown and diversified significantly, we believe that great leadership is rooted in strong values. As leaders within this industry, we’re committed to shaping a better future for our friends, families and communities. Our philosophy remains unchanged, balancing customer satisfaction with environmentally sustainable practices. Exceptional customer service, and unwavering dedication to sustainability are the cornerstones of our business.

Our journey is dependent upon talented, passionate, and dedicated people that constantly strive and challenge each other for better outcomes.

Take the first step today and join us on the journey……….

Beauparc aims to attract and retain a skilled and diverse workforce that best represents the talent available in the communities in which our assets are located and our employees reside.

(DE&I Policy Statement)Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Utilities

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