1,330 AI Engineering jobs in South Africa
Postdoctral Research Fellowship – Deep Learning and Bioacoustics African Institute for Mathemat[...]
Posted 1 day ago
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Job Description
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 received
Start date: immediate
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 OpportunityTheAfrican 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 TensorFlow 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 GitHub 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.
- Ph.D. in a relevant mathematical science (e.g. computer science, mathematics, …).
- Strong experience in deep learning (TensorFlow, PyTorch,…) 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 dateImmediately, 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-LjbffrAI/ML Engineering Manager
Posted 17 days ago
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Job Description
We are seeking an experienced AI/ML Engineering Manager to lead a team of engineers and data scientists in developing, deploying, and scaling AI and machine learning solutions. The successful candidate will play a pivotal role in shaping our AI/ML strategy, ensuring solutions are aligned to business objectives, and building a high-performance, diverse, and inclusive team.
Key ResponsibilitiesLead, mentor, and grow a team of AI/ML engineers and data scientists.
Drive the design, development, deployment, and maintenance of AI/ML models and systems in production environments.
Collaborate with business stakeholders to identify opportunities for AI-driven innovation and measurable value creation.
Establish and implement best practices for ML model development, MLOps, and data engineering pipelines.
Oversee technical architecture, data infrastructure, and cloud-based solutions to support scalable AI/ML delivery.
Ensure governance, compliance, security, and ethical use of AI across projects.
Foster a culture of continuous learning, experimentation, and knowledge sharing within the team.
Work closely with senior leadership to define and deliver on the AI/ML roadmap.
Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field (PhD advantageous).
8+ years experience in AI/ML engineering, data science, or related roles, with at least 3+ years in a leadership/management capacity.
Proven track record of managing teams delivering production-grade AI/ML solutions at scale.
Strong experience with cloud platforms (AWS, Azure, or GCP), MLOps, and data engineering practices.
Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
Solid understanding of modern software engineering practices (CI/CD, DevOps, APIs, microservices).
Experience working in retail, e-commerce, or consumer-focused industries is advantageous.
Strategic thinker with ability to align AI/ML solutions to business goals.
Strong leadership and people management skills.
Excellent communication and stakeholder engagement.
Problem-solving mindset with ability to balance innovation and pragmatism.
Commitment to diversity, equity, and inclusion in team-building and delivery.
AI/ML Engineering Manager
Posted today
Job Viewed
Job Description
AI/ML Engineering Manager
Recruiter:
Datonomy Solutions
Job Ref:
740
Date posted:
Wednesday, August 27, 2025
Location:
Cape Town, South Africa
Salary:
R100k - 140k per month
SUMMARY:
AI/ML Engineering Manager to lead a team in developing and deploying AI/ML solutions
POSITION INFO:
We are seeking an experienced
AI/ML Engineering Manager
to lead a team of engineers and data scientists in developing, deploying, and scaling AI and machine learning solutions. The successful candidate will play a pivotal role in shaping our AI/ML strategy, ensuring solutions are aligned to business objectives, and building a high-performance, diverse, and inclusive team.
Key Responsibilities
- Lead, mentor, and grow a team of AI/ML engineers and data scientists.
- Drive the design, development, deployment, and maintenance of AI/ML models and systems in production environments.
- Collaborate with business stakeholders to identify opportunities for AI-driven innovation and measurable value creation.
- Establish and implement best practices for ML model development, MLOps, and data engineering pipelines.
- Oversee technical architecture, data infrastructure, and cloud-based solutions to support scalable AI/ML delivery.
- Ensure governance, compliance, security, and ethical use of AI across projects.
- Foster a culture of continuous learning, experimentation, and knowledge sharing within the team.
- Work closely with senior leadership to define and deliver on the AI/ML roadmap.
Qualifications & Experience
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field (PhD advantageous).
- 8+ years' experience in AI/ML engineering, data science, or related roles, with at least 3+ years in a leadership/management capacity.
- Proven track record of managing teams delivering production-grade AI/ML solutions at scale.
- Strong experience with cloud platforms (AWS, Azure, or GCP), MLOps, and data engineering practices.
- Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
- Solid understanding of modern software engineering practices (CI/CD, DevOps, APIs, microservices).
- Experience working in retail, e-commerce, or consumer-focused industries is advantageous.
Key Competencies
- Strategic thinker with ability to align AI/ML solutions to business goals.
- Strong leadership and people management skills.
- Excellent communication and stakeholder engagement.
- Problem-solving mindset with ability to balance innovation and pragmatism.
- Commitment to diversity, equity, and inclusion in team-building and delivery.
AI Data Quality & Engineering Lead
Posted 1 day ago
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Job Description
About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.
The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.
It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world.
What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.
What can you expect in an AI Data Quality & Engineering Lead role with TaskUs:
Why this role exists: As AI systems scale rapidly across industries, the integrity and accuracy of testing, training, and evaluation data have never been more critical. TaskUs needs a proactive leader who can architect and uphold high‑quality annotation workflows so that AI models are built and evaluated on reliable data without compromising on speed or efficiency.
The impact you’ll make:
- Build and guide a high-performing team : Lead and mentor a team of Data Quality Analysts, setting clear quality goals, delivering feedback, and fostering a culture of precision and accountability.
- Ensure quality at scale : Develop and continually refine robust QA processes, SOPs, and statistical quality metrics (e.g., F1 score, inter‑annotator agreement) to protect the integrity of annotation outputs.
- Drive transparency and insight : Create dashboards and reports that reveal quality trends, root causes of errors, and improvement opportunities - communicating these insights to leadership and clients.
- Champion tool innovation and efficiency : Manage annotation and QA platforms (like Labelbox, Dataloop, LabelStudio), and lead the evaluation or implementation of new automation tools to elevate efficiency and maintain quality.
Responsibilities:
- Strategic Leadership
- Drive the development, refinement, and documentation of quality assurance processes and standard operating procedures to ensure high-quality outputs.
- Establish comprehensive quality metrics (e.g. F1 score, inter-annotator agreement) that align with business objectives and industry standards.
- Continuously review and refine annotation workflows to proactively identify risks and areas to increase efficiency and reduce errors.
- Act as the subject matter expert on annotation quality, providing ongoing feedback, training, and support to annotators and project teams to uphold the highest quality standards.
- Analysis & Reporting
- Lead in-depth data analysis to diagnose quality issues, assess the effectiveness of quality strategies, and uncover root causes of recurring errors.
- Develop and maintain dashboards that provide real-time insights into quality metrics and project performance.
- Prepare and deliver strategic quality reports to senior management and clients, articulating quality trends, risks, and improvement plans.
- Partner with cross-functional teams, including operational management, engineering, and client services, to align on project goals and quality assurance initiatives.
- Operational Leadership
- Lead a team of Data Quality Analysts and provide mentorship, training, and expertise, fostering a culture of continuous improvement and accountability.
- Manage the configuration and integration of annotation and quality control tools (e.g. Labelbox, Dataloop, LabelStudio), ensuring optimal tool performance and alignment with project requirements
- Identify, evaluate, and implement innovative quality control tools and automation technologies to streamline quality control workflows, enhance analytical capabilities, and improve operational efficiency.
Required Qualifications
- Bachelor’s degree in a technical field (e.g. Computer Science, Data Science) or equivalent professional experience.
- 3+ years of experience in data quality management, data operations, or related roles within AI/ML or data annotation environments.
- Proven track record in designing and executing quality assurance strategies for large-scale, multi-modal data annotation projects.
- Proven track record in a leadership role managing and developing high-performing, remote or distributed teams.
- Deep understanding of data annotation processes, quality assurance methodologies, and statistical quality metrics (e.g., F1 score, inter-annotator agreement).
- Strong data-analysis skills, with the ability to interrogate large datasets, perform statistical analyses, and translate findings into actionable recommendations.
- Excellent communication skills, with experience presenting complex data and quality insights to technical and non-technical stakeholders.
- Proficiency with annotation and QA tools (e.g., Labelbox, Dataloop, LabelStudio).
- High-level of proficiency in common data-analysis tools, such as Excel and Google Sheets.
- Familiarity with programmatic data analysis techniques (e.g. Python, SQL).
- Familiarity with the core concepts of AI/ML pipelines, including data preparation, model training, and evaluation.
Preferred Qualifications
- Prior experience in an agile or fast-paced tech environment with exposure to AI/ML pipelines.
- Experience in a managed services or vendor-driven environment.
- Familiarity with prompt engineering and large-language-model assisted workflows to optimise annotation and validation processes.
- In-depth knowledge of ethical AI practices and compliance frameworks.
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.
DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.
We invite you to explore all TaskUs career opportunities and apply through the provided URL .
#J-18808-LjbffrData Science Lead
Posted 1 day ago
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Job Description
Beauparc Mogalakwena, Limpopo, South Africa
Join or sign in to find your next jobJoin 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.
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.
- 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.
(DE&I Policy Statement)Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Utilities
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#J-18808-LjbffrCOO (Data Science)
Posted 1 day ago
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Job Description
COO (Data Science) position available in Stellenbosch.
Duties and Responsibilities:
- Working as part of a high-performance, service-driven group that prides itself on attracting the finest talent, you will find yourself in an environment buzzing with energy, where smart, motivated people collaborate to deliver the best data and technology solutions.
- Will also coordinate the integration of various software systems and collaborate with teams across business units and countries to enable data-driven solutions, improve business processes, and support informed decision-making.
Requirements:
- A degree in a relevant field of study, such as data science, statistics, engineering, or computer science
- At least ten years’ experience in relevant fields, including data, analytics, data science, software development, and/or engineering
- Experience in people management and leadership
- Familiarity with CRM software (e.g., HubSpot, Salesforce)
- Advanced understanding of BI and analytics tools (e.g., Tableau, Power BI, Google Analytics)
- Familiarity with data science tools and programming languages (e.g., R, Python, MATLAB, pandas) as well as database languages
- Knowledge of data pipelines and data integrations
- Proven experience in building a data strategy and executing projects, including data science and AI applications
- Experience managing technology projects and product development
- Ability to identify and communicate value-adding, data-driven insights to influence marketing, e-commerce, and broader business decisions
- Strong communication skills across all levels of the organisation
- Willingness to travel internationally
- Availability to work on-site, five days per week
- Knowledge of GDPR and POPIA, with experience implementing compliance measures across business operations
- Experience in e-commerce
- Proactive, creative, and able to take initiative
Data Science Lecturer
Posted 1 day ago
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Job Description
Get notified about new Lecturer jobs in United States .
Assistant/Associate/Professor - Educational Leadership Assistant Professor - Teacher Education Generalist Assessment Assistant Professor - Education Specialties Assistant Professor of English, British Literature Assistant Professor of African American Literature Part-time Lecturer-Business & Hospitality Part-time Lecturer- Language and Literature / Literary Studies Assistant/Associate Professor of Finance Adjunct Faculty, Continuing Education - Lifelong Learning Instructor - FA25/SP26 Assistant / Associate Professor (Entrepreneurship), Department of Management & Entrepreneurship, Fall 2026 Lecturer - LING 341: Language Issues in the United States (Fall 2025) Part-time Lecturer - Interdisciplinary Studies/Teacher Development Center Assistant Professor - Agriculture (Soils) Assistant Professor Organizational Studi Lecturer - PHIL 110: Critical Thinking (Fall 2025) Assistant/Associate Professor of Finance School of Global Innovation & Leadership Lecturer Pool Assistant/Associate/Full Professor (General) Assistant Professor of Elementary Literacy Education Assistant Professor of Elementary Literacy Education Special Assistant Professor of Writing Studies Assistant/Associate Professor of Management Assistant/Associate Professor of Mathematics Assistant Professor and Director of Project Management Lecturer (Assistant Professor) or Senior Lecturer in Management Science and Operations Assistant Professor/Lecturer in Economics #J-18808-LjbffrBe The First To Know
About the latest Ai engineering Jobs in South Africa !
Data Science Analyst
Posted 1 day ago
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Job Description
THE WORK : Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions and contribute in providing solutions to work related problems. Let's create a brighter future together!
Use existing research methods and develop new approaches to discover anthropological, ethnographical and sociological insights.
Develop brand tracking systems and convert data into relevant KPI dashboards.
Utilize analytical methodologies, mathematical modeling or optimization techniques to develop intellectual property.
BONUS POINTS IF YOU HAVE:
- Advanced proficiency in Generative Design
- Advanced proficiency in Machine Learning
HERE'S WHAT YOU WILL NEED:
- Expert proficiency in Data Science.
- Advanced proficiency in Data Analytics.
- A minimum of 1 year of experience in relevant related skills.
- Bachelor's Degree in relevant field of studies
BONUS POINTS IF YOU HAVE:
- Advanced proficiency in Generative Design
- Advanced proficiency in Machine Learning
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Kuda is a money app for Africans on a mission to make financial services accessible, affordable and rewarding for every African on the planet.
We're a tribe of passionate and diverse people who dreamed of building an inclusive money app that Africans would love so it's only right that we ended up with the name ‘Kuda' which means ‘love' in Shona, a language spoken in the southern part of Africa.
We're giving Africans around the world a better alternative to traditional finance by delivering money transfers, smart budgeting and instant access to credit through digital devices.
We've raised over $90 million from some of the world's most respected institutional investors, and we're rolling out our game-changing services globally from our offices in Nigeria, South Africa, and the UK.
Role Overview
As the Data Science Manager at Kuda, you will be responsible for leading a dynamic team of data scientists to develop and deploy machine learning models that drive critical business outcomes across the entire credit lifecycle. Your team will focus on building solutions for credit scoring, fraud detection, and collections, while also supporting various other business functions by providing data-driven insights and predictive capabilities.
You will work with cutting-edge technologies in data science and machine learning, with an emphasis on building scalable, real-time decisioning systems that are integrated into our product offerings. This means that your models will not only be developed but also put into production in a way that supports live, real-time decisions, enhancing Kuda's ability to serve customers with speed and precision.
Your role will require collaboration across multiple cross-functional teams, including product, business, technology, and data teams, ensuring that all teams are aligned to deliver value through innovative, data-driven solutions. As a manager, you'll foster an environment of continuous learning and improvement, ensuring that your team stays ahead of the curve in terms of industry trends, emerging technologies, and the most effective methodologies in the field of data science.
Key to your success will be your ability to translate business challenges into data-driven solutions while balancing technical execution with strategic vision. Your leadership will help scale Kuda's impact, bringing high-quality, machine learning-based credit solutions to millions of customers across Nigeria and beyond.
Key Responsibilities
- Team Leadership: Manage and mentor a team of data scientists, fostering a collaborative and innovative environment
- Model Development: Lead the design, development, and deployment of machine learning models for credit scoring, fraud detection, and collections
- Cross-Functional Collaboration: Work closely with product, engineering, and compliance teams to integrate models into production systems
- Data Analysis: Analyze large, complex datasets to extract actionable insights and inform business strategies
- Model Monitoring: Oversee the performance of deployed models, ensuring they meet business objectives and regulatory standards
- Stakeholder Communication: Present findings and recommendations to senior leadership and other stakeholders
- Continuous Improvement: Stay abreast of industry trends and emerging technologies to continuously enhance model performance and team capabilities
- Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
- Experience: Minimum of 6 years in data science, with at least 2 years in a leadership role managing teams and projects
- Technical Skills: Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge of cloud environments and services (AWS, Google Cloud)
- Domain Knowledge: Experience in credit risk modeling, fraud detection, or financial services is highly desirable
- Leadership: Strong ability to lead teams, manage projects, and communicate effectively with both technical and non-technical stakeholders
- Regulatory Awareness: Understanding of financial regulations and compliance standards, particularly in the Nigerian context.
Why join Kuda?
At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits in areas including but not limited to:
A great and upbeat work environment populated by a multinational team
Pension
Career Development & growth
Competitive annual leave plus bank holidays
Competitive paid time off (Parental, Moving day, Birthday, Study leave etc)
Group life insurance
Medical insurance
Well-fare package (Wedding, Compassionate and etc)
Perkbox
️Goalr - employee wellness app
Award winning L&D training
We are advocates of work-life balance, working in a hybrid in office schedule
Kuda is proud to be an equal-opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent.
We don't regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know. #J-18808-Ljbffr
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Kuda is a money app for Africans on a mission to make financial services accessible, affordable and rewarding for every African on the planet.
We’re a tribe of passionate and diverse people who dreamed of building an inclusive money app that Africans would love so it’s only right that we ended up with the name ‘Kuda’ which means ‘love’ in Shona, a language spoken in the southern part of Africa.
We’re giving Africans around the world a better alternative to traditional finance by delivering money transfers, smart budgeting and instant access to credit through digital devices.
We’ve raised over $90 million from some of the world's most respected institutional investors, and we’re rolling out our game-changing services globally from our offices in Nigeria, South Africa, and the UK.
Role Overview
As the Data Science Manager at Kuda, you will be responsible for leading a dynamic team of data scientists to develop and deploy machine learning models that drive critical business outcomes across the entire credit lifecycle. Your team will focus on building solutions for credit scoring, fraud detection, and collections, while also supporting various other business functions by providing data-driven insights and predictive capabilities.
You will work with cutting-edge technologies in data science and machine learning, with an emphasis on building scalable, real-time decisioning systems that are integrated into our product offerings. This means that your models will not only be developed but also put into production in a way that supports live, real-time decisions, enhancing Kuda's ability to serve customers with speed and precision.
Your role will require collaboration across multiple cross-functional teams, including product, business, technology, and data teams, ensuring that all teams are aligned to deliver value through innovative, data-driven solutions. As a manager, you'll foster an environment of continuous learning and improvement, ensuring that your team stays ahead of the curve in terms of industry trends, emerging technologies, and the most effective methodologies in the field of data science.
Key to your success will be your ability to translate business challenges into data-driven solutions while balancing technical execution with strategic vision. Your leadership will help scale Kuda’s impact, bringing high-quality, machine learning-based credit solutions to millions of customers across Nigeria and beyond.
Key Responsibilities
- Team Leadership : Manage and mentor a team of data scientists, fostering a collaborative and innovative environment.
- Model Development : Lead the design, development, and deployment of machine learning models for credit scoring, fraud detection, and collections.
- Cross-Functional Collaboration : Work closely with product, engineering, and compliance teams to integrate models into production systems.
- Data Analysis : Analyze large, complex datasets to extract actionable insights and inform business strategies.
- Model Monitoring: Oversee the performance of deployed models, ensuring they meet business objectives and regulatory standards.
- Stakeholder Communication : Present findings and recommendations to senior leadership and other stakeholders.
- Continuous Improvement : Stay abreast of industry trends and emerging technologies to continuously enhance model performance and team capabilities.
- Education : Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Experience : Minimum of 6 years in data science, with at least 2 years in a leadership role managing teams and projects.
- Technical Skills : Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge of cloud environments and services (AWS, Google Cloud).
- Domain Knowledge : Experience in credit risk modeling, fraud detection, or financial services is highly desirable.
- Leadership : Strong ability to lead teams, manage projects, and communicate effectively with both technical and non-technical stakeholders.
- Regulatory Awareness: Understanding of financial regulations and compliance standards, particularly in the Nigerian context.
Why join Kuda?
At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits in areas including but not limited to:
A great and upbeat work environment populated by a multinational team
Pension
Career Development & growth
Competitive annual leave plus bank holidays
Competitive paid time off (Parental, Moving day, Birthday, Study leave etc)
Group life insurance
Medical insurance
Well-fare package (Wedding, Compassionate and etc)
Perkbox
️Goalr - employee wellness app
Award winning L&D training
We are advocates of work-life balance, working in a hybrid in office schedule
Kuda is proud to be an equal-opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent.
We don’t regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.
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