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101 Machine Learning Specialist jobs in South Africa

Staff Scientist (Machine Learning Specialist) - SDL6

George, Western Cape University of Toronto

Posted 18 days ago

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Job Description

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Staff Scientist (Machine Learning Specialist) - SDL6

Date Posted: 08/07/2025
Req ID: 44678
Faculty/Division: Faculty of Arts & Science
Department: Acceleration Consortium
Campus : St. George (Downtown Toronto)

Description:

The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also called materials acceleration platforms (MAPs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and consumer electronics to drugs. AC Staff Scientists will advance the field of AI-driven autonomous discovery and develop the materials and molecules required to address society’s largest challenges, such as climate change, water pollution, and future pandemics.

The Acceleration Consortium (AC) promotes an inclusive research environment and supports the EDI priorities of the unit.

The Acceleration Consortium received a$200M Canadian First Research Excellence Grant for seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the Acceleration Consortium with seven years of funding to execute its vision.

The AC is developing seven advanced SDLs plus an AI and Automation lab:

SDL1 - Inorganic solid-state compounds for advanced materials and energy
SDL2 - Organic small molecules for sustainability and health
SDL3 - Medicinal chemistry for improving small molecule drug candidates
SDL4 - Polymers for materials science and biological applications
SDL5 - Formulations for pharmaceuticals, consumer products, and coatings
SDL6 - Biocompatibility with organoids / organ-on-a-chip
SDL7 - Synthetic scale-up of materials and molecules (University of British Columbia partner lab)
A central AI and Automation lab to support all the SDLs

Position Overview:

We are seeking a motivated and skilled researcher to join the Acceleration Consortium working with the Human Organ Mimicry SDL. The Self-Driving Lab (SDL) focused on Human Organ Mimicry (HOM) embodies an autonomous artificial intelligence (AI)-assisted platform for culturing and screening high-fidelity models of functional tissues and diseases. In addition to fundamental capabilities like cell passaging and sample preparation, the platform will facilitate closed-loop optimization campaigns designed to optimize cell culture conditions (e.g., growth media and extracellular matrix support), automated generation of model-specific datasets and production of highly reproducible batches of cells with specific phenotypes (e.g., patient-derived organoids (PDOs) and differentiated iPSCs), and development of advanced automated workflows and AI tools (e.g., static and dynamic co-culture organ-on-a-chip (OOC) models, colony picking and bioprinting).

The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or experience to apply those skills toward imaging data (e.g., live cell microscopy). The successful candidate will contribute to advancing machine learning-driven analysis of high-content imaging data to achieve 1) better OOC tissue model functional evaluation and clinical benchmarking, 2) optimization on cost-efficient workflow and reproducibility. The candidate must have knowledge of current machine learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred. Strong coding skills in Python or a comparable programming language are expected, with the ability to develop analysis pipelines and tools that meet project deadlines and are suitable for publication-quality research. The role will involve developing novel computational approaches for biological discovery and working collaboratively in an interdisciplinary research environment. Additional expertise related to biological knowledge of the wet lab experimentation required to gather imaging data is an optional benefit.

This posted position is for a Staff Scientist at SDL6 (Human Organ Mimicry).

Expertise that is desired:

Computational expertise

Life science and physical science applications of machine learning in biology, bioengineering or molecular biology or any other relevant fields.
Programming and high-performance computing
Experience in design of computational pipelines for large-scale imaging
Experience with programming languages and scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and machine learning / deep learning methods
Active learning, exploration, optimal experiment design, Bayesian optimization, reinforcement learning, and/or representation learning
Experience in development and application of machine learning/deep learning methods for high throughput cell imaging data

Additional expertise that is desired (but not required):

Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools
Experience with PyTorch and/or TensorFlow, experience with databases and high-content imaging platforms
Familiarity with generative modeling
Experience with advanced ML techniques for representation learning and multi-modal data integration

The StaffScientist will work with a diverse team of leading experts at U of T, including Professors Alán Aspuru-Guzik, Anatole von Lilienfeld, Florian Shkurti, Animesh Garg, Oleksandr Voznyy, Robert Batey, Cheryl Arrowsmith, Milica Radisic, and Vuk Stambolic. The Staff Scientist will also work with Staff Scientists in Human Organ Mimicry and AI SDL.

The Staff Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable self-driving labs, manage these SDLs, and design and implement research programs (based on the direction of the AC’s scientific leadership team) that leverage the SDL platforms to discover materials and molecules. Moreover, the Staff Scientists will work collectively, sharing knowledge among each other, faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium.

The components and duties of the work can include:

Machine learning for SDL Development

Working with the AC community, including faculty and partners, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D, organoids and OOCs), as well as enabling data-driven autonomous experimentation. Developing computational tools for the analysis of high-resolution microscopy images of complex tissue models and extracting biologically meaningful insights to support quality control and autonomous decision-making.

SDL and Automation Development

Working with the AC community, including faculty and partners, determine the required capabilities of the SDLs to be built. Design and testing of closed-loop optimization campaigns for cell culture media optimization using the selected framework. Developing SDL plans to meet user requirements and designing novel instruments for autonomous cell culture experiments. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs.

Research Direction

Working independently to develop research programs that leverage the AC’s SDLs and supports the research objectives of academic and industrial partners. Translating computational approaches ranging from 2D cell culture models to more complex 3D systems (i.e. organoids and OOCs), with the goal of creating advanced biomimetic models that closely replicate human organ functions and produce clinically relevant data. Preparing and publishing high-quality research manuscripts and contributing to grant writing efforts.

Tasks include:

Managing the research and development projects of AC’s industry partners when implemented in AC labs
Developing plans supporting research collaborations and estimating financial resources required for programs and/or projects
Working with Product Managers to ensure research outcomes meet partner requirements
Promoting AC’s research capacity, including delivering presentations at conferences
Collaboration in preparing and submitting research proposals to granting agencies and progress reporting
Preparing manuscripts for submission to peer review publications/journals and stewarding them through the process
Mentor junior lab members and promote a collaborative team environment

Other

Supporting consulting services related to the application of SDLs for materials discovery for the AC’s partners
Support research-focused events such as Annual Symposium

MINIMUM QUALIFICATIONS:

Education –Ph.D. in computational biology, bioinformatics, biophysics, biomedical engineering, computer science, or a related field.

Experience

5 to 10 years of experience (inclusive of PhD and/or post-graduate work) in accelerated research and development in the area of development and application of machine learning/deep learning methods for biological or chemical data analysis
Experience working closely with a Principal Investigator or as a Principal Investigator or as Project Director with responsibilities of managing, developing and executing a major research project in the area of AI, machine learning, and/or advanced computational analysis and modeling of biological phenomena
Experience withoverseeing the activities of a lab
Experience working with industry partners and on industry-led research and development projects
Strong experience presenting research at academic conferences
Demonstrated record of academic and/or research excellence
Must have a strong scholarly publication record

Skills

Skills in electronic/hardware-oriented programming and machine learning
Strong and effective communicator in oral and written English
Collegial when working with team members and collaborators
Ability to work independently

Other

Demonstrated success in writing and preparing manuscripts, presentations, reports, briefs, and scientific abstracts, and manuscripts for peer-reviewed journals

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority

Closing Date: 10/30/2025, 11:59PM ET
Employee Group: Research Associate
Appointment Type : Grant - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone: $2,617.00 - 150,000(salary will be assessed basedon skills and experience)
Job Category: Research Administration & Teaching

Diversity Statement

The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please .

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Staff scientist (machine learning specialist) - sdl6

George, Western Cape University Of Toronto

Posted today

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Job Description

permanent

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Staff Scientist (Machine Learning Specialist) - SDL6 Date Posted: 08/07/2025Req ID: 44678Faculty/Division: Faculty of Arts & ScienceDepartment: Acceleration ConsortiumCampus : St. George (Downtown Toronto) Description: The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also called materials acceleration platforms (MAPs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and consumer electronics to drugs. AC Staff Scientists will advance the field of AI-driven autonomous discovery and develop the materials and molecules required to address society’s largest challenges, such as climate change, water pollution, and future pandemics. The Acceleration Consortium (AC) promotes an inclusive research environment and supports the EDI priorities of the unit. The Acceleration Consortium received a$200 M Canadian First Research Excellence Grant for seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the Acceleration Consortium with seven years of funding to execute its vision. The AC is developing seven advanced SDLs plus an AI and Automation lab: SDL1 - Inorganic solid-state compounds for advanced materials and energy SDL2 - Organic small molecules for sustainability and health SDL3 - Medicinal chemistry for improving small molecule drug candidates SDL4 - Polymers for materials science and biological applications SDL5 - Formulations for pharmaceuticals, consumer products, and coatings SDL6 - Biocompatibility with organoids / organ-on-a-chip SDL7 - Synthetic scale-up of materials and molecules (University of British Columbia partner lab) A central AI and Automation lab to support all the SDLs Position Overview: We are seeking a motivated and skilled researcher to join the Acceleration Consortium working with the Human Organ Mimicry SDL. The Self-Driving Lab (SDL) focused on Human Organ Mimicry (HOM) embodies an autonomous artificial intelligence (AI)-assisted platform for culturing and screening high-fidelity models of functional tissues and diseases. In addition to fundamental capabilities like cell passaging and sample preparation, the platform will facilitate closed-loop optimization campaigns designed to optimize cell culture conditions (e.g., growth media and extracellular matrix support), automated generation of model-specific datasets and production of highly reproducible batches of cells with specific phenotypes (e.g., patient-derived organoids (PDOs) and differentiated i PSCs), and development of advanced automated workflows and AI tools (e.g., static and dynamic co-culture organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or experience to apply those skills toward imaging data (e.g., live cell microscopy). The successful candidate will contribute to advancing machine learning-driven analysis of high-content imaging data to achieve 1) better OOC tissue model functional evaluation and clinical benchmarking, 2) optimization on cost-efficient workflow and reproducibility. The candidate must have knowledge of current machine learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred. Strong coding skills in Python or a comparable programming language are expected, with the ability to develop analysis pipelines and tools that meet project deadlines and are suitable for publication-quality research. The role will involve developing novel computational approaches for biological discovery and working collaboratively in an interdisciplinary research environment. Additional expertise related to biological knowledge of the wet lab experimentation required to gather imaging data is an optional benefit. This posted position is for a Staff Scientist at SDL6 (Human Organ Mimicry). Expertise that is desired: Computational expertise Life science and physical science applications of machine learning in biology, bioengineering or molecular biology or any other relevant fields. Programming and high-performance computing Experience in design of computational pipelines for large-scale imaging Experience with programming languages and scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and machine learning / deep learning methods Active learning, exploration, optimal experiment design, Bayesian optimization, reinforcement learning, and/or representation learning Experience in development and application of machine learning/deep learning methods for high throughput cell imaging data Additional expertise that is desired (but not required): Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools Experience with Py Torch and/or Tensor Flow, experience with databases and high-content imaging platforms Familiarity with generative modeling Experience with advanced ML techniques for representation learning and multi-modal data integration The Staff Scientist will work with a diverse team of leading experts at U of T, including Professors Alán Aspuru-Guzik, Anatole von Lilienfeld, Florian Shkurti, Animesh Garg, Oleksandr Voznyy, Robert Batey, Cheryl Arrowsmith, Milica Radisic, and Vuk Stambolic. The Staff Scientist will also work with Staff Scientists in Human Organ Mimicry and AI SDL. The Staff Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable self-driving labs, manage these SDLs, and design and implement research programs (based on the direction of the AC’s scientific leadership team) that leverage the SDL platforms to discover materials and molecules. Moreover, the Staff Scientists will work collectively, sharing knowledge among each other, faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium. The components and duties of the work can include: Machine learning for SDL Development Working with the AC community, including faculty and partners, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2 D, 3 D, organoids and OOCs), as well as enabling data-driven autonomous experimentation. Developing computational tools for the analysis of high-resolution microscopy images of complex tissue models and extracting biologically meaningful insights to support quality control and autonomous decision-making. SDL and Automation Development Working with the AC community, including faculty and partners, determine the required capabilities of the SDLs to be built. Design and testing of closed-loop optimization campaigns for cell culture media optimization using the selected framework. Developing SDL plans to meet user requirements and designing novel instruments for autonomous cell culture experiments. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs. Research Direction Working independently to develop research programs that leverage the AC’s SDLs and supports the research objectives of academic and industrial partners. Translating computational approaches ranging from 2 D cell culture models to more complex 3 D systems (i.e. organoids and OOCs), with the goal of creating advanced biomimetic models that closely replicate human organ functions and produce clinically relevant data. Preparing and publishing high-quality research manuscripts and contributing to grant writing efforts. Tasks include: Managing the research and development projects of AC’s industry partners when implemented in AC labs Developing plans supporting research collaborations and estimating financial resources required for programs and/or projects Working with Product Managers to ensure research outcomes meet partner requirements Promoting AC’s research capacity, including delivering presentations at conferences Collaboration in preparing and submitting research proposals to granting agencies and progress reporting Preparing manuscripts for submission to peer review publications/journals and stewarding them through the process Mentor junior lab members and promote a collaborative team environment Other Supporting consulting services related to the application of SDLs for materials discovery for the AC’s partners Support research-focused events such as Annual Symposium MINIMUM QUALIFICATIONS: Education –Ph. D. in computational biology, bioinformatics, biophysics, biomedical engineering, computer science, or a related field. Experience 5 to 10 years of experience (inclusive of Ph D and/or post-graduate work) in accelerated research and development in the area of development and application of machine learning/deep learning methods for biological or chemical data analysis Experience working closely with a Principal Investigator or as a Principal Investigator or as Project Director with responsibilities of managing, developing and executing a major research project in the area of AI, machine learning, and/or advanced computational analysis and modeling of biological phenomena Experience withoverseeing the activities of a lab Experience working with industry partners and on industry-led research and development projects Strong experience presenting research at academic conferences Demonstrated record of academic and/or research excellence Must have a strong scholarly publication record Skills Skills in electronic/hardware-oriented programming and machine learning Strong and effective communicator in oral and written English Collegial when working with team members and collaborators Ability to work independently Other Demonstrated success in writing and preparing manuscripts, presentations, reports, briefs, and scientific abstracts, and manuscripts for peer-reviewed journals All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority Closing Date: 10/30/2025, 11:59 PM ETEmployee Group: Research AssociateAppointment Type : Grant - ContinuingSchedule: Full-TimePay Scale Group & Hiring Zone: $2,617.00 - 150,000(salary will be assessed basedon skills and experience) Job Category: Research Administration & Teaching Diversity Statement The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see. Accessibility Statement The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.If you require any accommodations at any point during the application and hiring process, please . #J-18808-Ljbffr

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Manager, Data Science

Johannesburg, Gauteng Standard Bank of South Africa Limited

Posted today

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Job Description

Business Segment: Personal & Private Banking

Location: ZA, GP, Johannesburg, Baker Street 30

Overview

Apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling.

Qualifications

Completed Matric
Proficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, Qlikview; Tableau; SSIS SSRS, Python JSON , C#, Java, C++, HTML

Experience

5 - 7 years Proven development experience in software and software engineering. Understanding of financial services data processes, systems, and products.Experience in technical business intelligence. Knowledge of IT infrastructure and data principles. Project management experience. Exposure to governance and regulatory matters as it relates to data.Experience in building models (credit scoring, propensity models, churn, etc.).
5 - 7 years' Experience in working with unstructured data (e.g. Streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data. Experience with common data science toolkits, such as SAS, R, SPSS, etc. Experience with data visualization tools, such as Power BI, Tableau, etc.

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Data Science Lecturer

Midrand, Gauteng Eduvos

Posted 5 days ago

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Job Description

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Werkstudent* Data Science

Gauteng, Gauteng sovanta

Posted 6 days ago

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Job Description

workfromhome

3 months ago Be among the first 25 applicants

Die sovanta AG optimiert den Einsatz von SAP mit Hilfe von Software Development, UX Design und künstlicher Intelligenz.

Du hast Lust in einem innovativen Arbeitsumfeld mit neusten Technologien zu arbeiten? Teamspirit, flexible Arbeitszeiten und eigene Projekte sind dir wichtig? Dann freuen wir uns auf deine Bewerbung!

Was dich bei sovanta erwartet

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Bei sovanta bist du von Anfang an fester Bestandteil deines Teams und sammelst neben dem Studium wertvolle Berufserfahrung
Dank unserem strukturierten Onboarding wirst du dich schnell bei uns zurechtfinden und lernst darüber hinaus auch andere Abteilungen kennen
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Wir leben von einem engen Austausch und legen viel Wert auf unsere regelmäßigen Knowledge-Sharing-Sessions, Unit Meetings und Feedbackgespräche
Sommerfeste, X-Mas Party oder Lunch Roulette – auf dich warten Company Events vom Feinsten, lass dich überraschen!
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Du übernimmst die Recherche, Evaluation und Einbindung von state-of-the-art ML-Modellen und -Techniken
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Du begleitest Projekte im gesamten Entwicklungszyklus: von Anforderungsaufnahme über Design und Entwicklung bis hin zu Dokumentation und Deployment

Data Scientist (m/w/d) bei sovanta zu sein bedeutet, Prozesse intelligent zu machen – und nicht nur den ganzen Tag SQL-Tabellen hin und her zu schieben. Durch unsere Erfahrungen im Bereich KI helfen wir unseren Kunden die richtigen Entscheidungen für die Zukunft zu treffen.

Larissa

Senior Data Scientist

Damit punktest du bei uns

Du studierst im Bereich Data/Web Science, Informatik, Wirtschaftsinformatik oder vergleichbar und hast hervorragende Noten
Du hast Zeit und Lust unser Team für mind. 14 Std. / Woche zu unterstützen
Du kannst solide Grundkenntnisse von Methoden und Werkzeugen aus dem Bereich Data Science vorweisen
Du hast bereits erste Erfahrungen in mindestens einer der nachfolgenden Programmiersprachen: Python, R oder Java
Du brennst für das Arbeiten mit großen Datenmengen und Datenbanken
Dich zeichnet eine kreative Herangehensweise an die immer komplexer werdende Geschäfts- und IT-Welt aus
Gute Deutsch- und Englischkenntnisse runden dein Profil ab

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Schicke uns bitte deinen Lebenslauf, dein aktuellen Transcript of Records, deine Immatrikulationsbescheinigung und – sofern vorhanden – Arbeitszeugnis(se) mit, damit wir deine kompletten Bewerbungsunterlagen auf einen Blick haben.

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sovanta AG

Mittermaierstraße 31

69115 Heidelberg

E-Mail:

Tel: 06221 /

Seniority level

Seniority level Internship

Employment type

Employment type Full-time

Job function

Job function Engineering and Information Technology
Industries Software Development

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Alberton, Gauteng, South Africa 1 week ago

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Data Science Lead

Beauparc

Posted 20 days ago

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Job Description

Beauparc Mogalakwena, Limpopo, South Africa

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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.

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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Data science manager

Western Cape, Western Cape Kuda Technologies Ltd

Posted today

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Job Description

permanent

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, Tensor Flow, Py Torch). 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

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Actuarial Business Analyst ? Data Science and Machine Learning Lead

Badger Holdings

Posted 22 days ago

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Job Description

permanent

Actuarial Business Analyst – Data Science and Machine Learning Lead

George, Western Cape | Badger Holdings SA

At Badger Holdings, we don’t just crunch numbers, we turn them into business game-changers.
We’re on the hunt for an Actuarial Business Analyst who can lead a team of Data Scientists to build machine learning models that move the needle . You’ll be the translator, the strategist, and the impact-driver, making sure every model delivers measurable value and is understood from boardroom to operations floor.

I you can bridge deep technical expertise with commercial impact and lead a high-performance analytics team, this is your seat at the table.

What You’ll Do

p>Lead & Inspire

Manage, mentor, and grow a team of Data Scientists into a powerhouse of delivery.
Build a culture where experimentation, collaboration, and results thrive.

Design & Deliver

Oversee the creation, testing, and deployment of machine learning models that solve real business problems.
Measure, quantify, and communicate the commercial impact of analytics solutions.
Keep models relevant, accurate, and laser-focused on business goals.

Bridge Tech & Business

Be the go-to liaison between data science and decision-makers.
Translate complex analytics into plain, actionable English
Ensure operational teams adopt and use model outputs effectively.

Drive Excellence

Gather, refine, and document requirements for analytics projects.
Push for best practices, smarter modelling approaches, and continuous process improvement.

What You’ll Need to Bring

p>Essential:

Degree or Honours in Actuarial Science .
7+ years’ experience in insurance or financial services (short-term insurance? Even better).
Skill in turning model outputs into business gold.
Leadership experience in Data Science, Analytics, or Actuarial teams.
Experience with claims modelling & survival analysis in insurance.
BI tool mastery (Power BI, Qlik Sense, Tableau, etc.).
Exceptional stakeholder engagement and communication skills.

Preferred:

Hands-on skills in Python, R, SQL, and cloud platforms like Snowflake.
Experience shaping both technical and business requirements.
Strong grasp of data-driven decision frameworks.

Why Badger?

We’re bold. We’re fast. We’re building the future of insurance analytics and you’ll be at the centre of it.
Here, your models won’t gather dust in a slide deck. They’ll shape strategy, impact the bottom line, and change how we work.

Read to lead the charge? Apply now and turn data into decisive action.

The position will be filled in line with Badger Holdings’ culture, values, and Employment Equity policy. Preference will be given to candidates from under-represented designated groups.

This advertiser has chosen not to accept applicants from your region.

Actuarial Business Analyst Data Science and Machine Learning Lead

George, Western Cape Badger Holdings

Posted 22 days ago

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Job Description

permanent

Actuarial Business Analyst – Data Science and Machine Learning Lead

George, Western Cape | Badger Holdings SA

At Badger Holdings, we don’t just crunch numbers, we turn them into business game-changers.
We’re on the hunt for an Actuarial Business Analyst who can lead a team of Data Scientists to build machine learning models that move the needle. You’ll be the translator, the strategist, and the impact-driver, making sure every model delivers measurable value and is understood from boardroom to operations floor.

If you can bridge deep technical expertise with commercial impact and lead a high-performance analytics team, this is your seat at the table.

What you’ll do

Lead and inspire

Manage, mentor, and grow a team of Data Scientists into a powerhouse of delivery.

Build a culture where experimentation, collaboration, and results thrive.

Design and deliver

Oversee the creation, testing, and deployment of machine learning models that solve real business problems.

Measure, quantify, and communicate the commercial impact of analytics solutions.

Keep models relevant, accurate, and laser-focused on business goals.

Bridge tech and business

Be the go-to liaison between data science and decision-makers.

Translate complex analytics into plain, actionable English

Ensure operational teams adopt and use model outputs effectively.

Drive excellence

Gather, refine, and document requirements for analytics projects.

Push for best practices, smarter modelling approaches, and continuous process improvement.

REQUIREMENTS

What you’ll need to bring

Essential:

Degree or Honours in Actuarial Science .

7+ years’ experience in insurance or financial services (short-term insurance? Even better).

Proven track record in building statistical/machine learning models.

Skill in turning model outputs into business gold.

Leadership experience in Data Science, Analytics, or Actuarial teams.

Experience with claims modelling & survival analysis in insurance.

BI tool mastery (Power BI, Qlik Sense, Tableau, etc.).

Exceptional stakeholder engagement and communication skills.

Preferred:

Hands-on skills in Python, R, SQL, and cloud platforms like Snowflake.

Experience shaping both technical and business requirements.

Strong grasp of data-driven decision frameworks.

Why Badger?

Ready to lead the charge? Apply now and turn data into decisive action.

The position will be filled in line with Badger Holdings’ culture, values, and Employment Equity policy. Preference will be given to candidates from under-represented designated groups.

This advertiser has chosen not to accept applicants from your region.

Data Science / ML Data Engineer

Johannesburg, Gauteng Exusia

Posted 16 days ago

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Job Description

Department: Sales and Delivery Team - Empower

Industry: Information Technology & Services, Computer Software, Management Consulting

Location: South Africa

Experience Range :8+ years

Basic Qualification: Master/Bachelor of Engineering or Equivalent

Travel Requirements: Not required

Website :

Exusia, a cutting-edge digital transformation company, seeks a Data Scientist to join our global delivery team's Data Engineering & Analytics practice around the world.

What’s the Role?

The Data Scientist role will be part of our Data Engineering & Analytics practice and will be focused on delivering best of breed solutions to our clients leveraging Advanced Analytics & Machine Learning tools and techniques.The candidate will also be part of the practice team and contribute to Competency development, driving innovation through various internal initiatives within the company. Candidate should have more than 8 years of experience with broad exposure to Data Engineering, Data Mining, Business Intelligence & Machine learning

Responsibilities:

Work on client projects to deliver Data insights using AI, ML and Advanced analytics techniques
Architect, Build & Deploy scalable Machine Learning models both on premise & on cloud platforms
Work with the business stakeholders to Identify problem statement, check availability of data and identify appropriate solutions to provide insights to address the problems and deliver better outcomes
Work closely with the data engineering teams to source and ingest data into data lakes
Look at semi structured and unstructured data and propose solutions to translate them into structured data format to provide better insights
Collaborate with S & D leadership to propose and execute ML POCs to deliver quick wins for the clients
Providing mentorship to junior resources within the data scientist community

Mandatory Skills:

Should have 6+ years of experience working in Business Intelligence, Analytics and Machine Learning
Extensive hands-on experience analyzing data with SQL
Experience in data mining of large data sets using tools like SAS / R / Python to identify patterns
Experience in using tools like Alteryx or Python libraries like Pandas for preprocessing & cleaning data
Experience using BI tools like Tableau or PowerBI for self-service analysis and Visualization of data
Collaborate with data engineering teams to ingest unstructured & semi structured data into data lakes
Identify data sets, attributes and patterns to propose appropriate ML approach for a given problem
Strong fundamentals in statistics and its application for building and validating ML models
Understanding of Supervised, Unsupervised and Reinforcement learning approaches
Strong experience in using Regression / Classification / Clustering algorithms and their application for appropriate use cases
Build models using R, Python or Cloud native ML offerings from AWS, AZURE and GCP platforms
Deploy ML models at scale using tools like TensorFlow Serving, Sagemaker, Torchserve
Problem-solving skills along with good interpersonal & communication skills

Nice-to-Have Skills

Exposure to Azure, AWS and Google Cloud Platforms with hands on exposure to ML service offerings
Experience working with teams located in multiple locations across the globe
Knowledge and understanding of various Data repositories, Databases, ETL and BI tools and data assets hosted on Hadoop or cloud platforms
Agile development experience & collaborating with data engineering teams
Familiarity with Spark, Scala and distributed data processing platforms will be a big advantage
Ability to work with tools like Jupyter / Databricks notebooks to interactively work with data sets

Exusia, Inc. is committed to maintaining a dynamic work culture. We offer an excellent compensation and benefits package to all employees.

About Exusia:

Exusia ( is a global technology consulting company that empowers its clients to gain a competitive edge by accelerating business outcomes and providing strategy and execution capabilities around digital, analytics and cloud solutions. The company has established its leadership position by solving some of the world's largest and most complex data engineering and analytical problems in the healthcare, financial, telecommunications, consumer products and high technology industries.

Exusia’s mission is to transform the world through the innovative use of information.

Over the past 3 years, Exusia was recognized by Inc. 5000 and by Crain’s publications as one of the fastest growing privately held companies in the world.Since the company’s founding in 2012, Exusia has experienced an impressive seven years of revenue growth and has expanded its operations in the Americas, Asia and Africa. Exusia has recently also been recognized by publications such as the CIO Review, Industry Era, Insight Success and the CIO Bulletin for the company’s innovation in IT Services, the Telecommunications and Healthcare industries and it's entrepreneurship. The company is headquartered in Miami, Florida, United States with development centers in India.

Interested applicants should apply by forwarding their CV to:

Seniority level

Seniority level Mid-Senior level

Employment type

Employment type Full-time

Job function

Job function Engineering and Information Technology
Industries Business Consulting and Services

Referrals increase your chances of interviewing at Exusia by 2x

Sign in to set job alerts for “Machine Learning Engineer” roles. Software Quality Assurance Engineer / Lead - Digital/AI/Data

City of Johannesburg, Gauteng, South Africa 2 days ago

Johannesburg, Gauteng, South Africa ZAR85,000.00-ZAR110,000.00 6 days ago

Johannesburg, Gauteng, South Africa 1 month ago

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