92 AI & Emerging Technologies jobs in South Africa

As a Senior Data Scientist within our Marketing Intelligence team, you will play a key role in the development and implementation of advanced data services and solutions, leveraging machine learning (ML) and artificial intelligence (AI) to drive profitability and value for our clients. You will possess a deep understanding of data science principles, advanced analytics techniques, and machine learning engineering and be proficient in utilising a range of programming languages, tools and machine learning frameworks

You will be required to collaborate effectively with cross-functional teams - including internal & external stakeholders - to understand clients' data needs and translate them into effective technical solutions. They will lead on advanced data projects, and develop data science approaches that can be adopted across the team.

Your achievements will lead to recognition as a thought leader, actively contributing to the company's reputation and brand through your expertise and insights.

Your tasks and responsibilities will include but are not limited to:

• Apply advanced statistical modeling and techniques to solve complex business challenges.
• Develop and implement advanced data solutions using machine learning (ML) and artificial intelligence (AI) to drive profitability and value for clients.
• Design and build machine learning pipelines and models, optimising their performance and efficiency
• Develop and maintain machine learning infrastructure.
• Track and document model lineage, model versioning and model transitioning.
• Independently design experiments, build algorithms, and apply machine learning tools to manage, interrogate, and extract value from large data sets for the benefit of media & digital marketing strategy
• Lead advanced data projects and develop data science approaches that can be adopted across the team.
• Demonstrate a willingness to learn and teach. Provide technical guidance and mentorship to junior data scientists, fostering their growth and ensuring the quality of their work.
• Collaborate effectively with cross-functional teams, including internal & external stakeholders, to understand clients' data needs and translate them into effective technical solutions.
• Proactively share information on the latest updates, new products, and evolving processes with the team.
• Demonstrate data knowledge and expertise through training materials and address clients' data challenges in senior-level discussions.
• Lead training sessions & workshops with clients on technical data topics within your expertise.
• Cultivate a strong relationship with clients and suppliers, which results in Incubeta being seen as a trusted partner and technical expert in the solutions offered.
• Deliver code and solutions that are well documented and understandable by other data scientists.
• Take responsibility for security in PII data, code management, and deployment.
• Proactively identify improvement opportunities for existing and new solutions across the business based on GP opportunity, customer feedback and industry needs.
• Improve on modeling techniques in our existing solutions and suggest new products through learning and development

• Achieve utilisation and GP targets.
• Achieve 100% success criteria within assigned tasks, or with justifiable rationale shared in advance where not achieved.
• Achieve 100% of deadlines within assigned tasks, or with justifiable rationale shared in advance where not achieved.
• Receive consistently positive client feedback in post-project reviews and post-training reviews.

The Senior Data Scientist reports directly to the EMEA Director of Data Science. This role is based in our Cape Town office and operates within the EMEA Marketing Intelligence team. You will be an integral part of a dynamic and collaborative team, working alongside marketing intelligence professionals across EMEA, including:

• Data Analysts
• Data Engineers
• Analytics Implementation Specialists
• Data & Analytics Consultants
• Technical Project Managers

You will also collaborate closely with:

• In-market teams in Cape Town, across various disciplines
• Commercial & client service teams across EMEA
• Operations personnel
• Other marketing intelligence resources globally

In order to successfully perform this role, you will need the following hard and soft skills:

Hard Skills

• 8+ years of experience in data science, with a focus on machine learning, artificial intelligence, and advanced analytics.
• Advanced expertise in data analysis, statistical modeling, and developing machine learning models for analysis and predictions
• Experience in designing and building machine learning pipelines and deploying ML models to production environments.
• An expert in programming languages SQL, Python, R
• Advanced experience with cloud platforms GCP (Essential), AWS, Azure (Advantageous) and cloud based ML services (e.g. Vertex AI).
• Demonstrable competency in propensity modelling, churn analysis, causal impact analysis, pLTV and MMM
• Familiarity with ML frameworks like TensorFlow, PyTorch, scikit-learn, and others
• Experience in pipeline orchestration tools such as Dataform, DBT and Apache Airflow
• Experience in developing and implementing advanced measurement solutions for digital marketing activation including MMM, Incrementality Testing, Causal impact Analysis & Attribution modelling
• Experience in customer and audience modelling solutions including propensity modelling, predictive lifetime value, churn analysis or similar
• Knowledge of industry trends and the ability to apply this knowledge to technical client solutions.
• Understanding of Analytics platforms & impact of data within - in particular Google Analytics 4
• Knowledge of Key Metrics and Dimensions for GMP Platforms (DV360, CM360, SA360), Google Ads and Facebook
• Knowledge of Digital Media Strategy
• Can confidently deal with breadth of enquiries around analytics & data
• Skilled in utilising Google Workspace for communication, presentations and reporting (e.g. Gmail, Google Slides, Google Docs, Google Sheets)
• Google Cloud Platform certified (Advantageous)
• ETL tooling experience (FiveTran, Supermetrics) (Advantageous)

Soft Skills

• Excellent communication and presentation skills
• Demonstrable expertise in strong client relationship management, and experience of building and managing key partner relationships
• Strong technical storyteller - able to turn complex technical concepts into simple and easy to understand concepts for both internal teams and clients
• Excellent problem-solving abilities
• Ability to work in a fast paced, dynamic, pro-learning environment on multiple priorities simultaneously
• Relentless enthusiasm and highly reliable
• Accountable, driven, and proactive in development and making progress
• Display a hunger for knowledge and a willingness to learn for any situation
• Ability to think and act independently as well as collaboratively
• Can establish influential relationships with both internal and external stakeholders
• Exceptional attention to detail and pride in any work produced
• Strong ability to prioritise and manage own time as well as assisting teams where needed
• Display honesty and integrity at all times
• Accountable for actions even when making mistakes
• Organised and detail oriented
• Be approachable and open to constructive feedback

• Earn Trust: Focused on maintaining and increasing customer focus, works with the customer in mind earning trust along each step with clients and colleagues
• Help Others Succeed: Makes an active contribution to a joint result (organizational target) or to resolving problems or conflicts. Think in terms of possibilities. Is able to solve issues and problems in a timely and effective manner, working as a team.
• Dare to Lead: Is willing to improve individual performance and stimulate others to act accordingly. Setting the standard and example. Being solution driven.
• Exceed Expectations: Carries out tasks without help from others; takes command of problem situations and aims to achieve more than the basic requirements

Equal Opportunity Employer:

Incubeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

If you feel you meet the criteria please kindly submit your resume, cover letter, and portfolio of relevant work. Applications will be reviewed on a rolling basis until the position is filled.Please take note that if you do not receive a response within 2 weeks of applying, you should consider your application as unsuccessful.

Melio is seeking a passionate Machine Learning Engineer to join our expanding team:

• Level: Junior or Intermediate
• Position: Full time
• Salary: Based on technical experience

As a fast-paced start-up, our day-to-day is never the same. We look for candidates who love to take up new challenges and have the flexibility to go above-and-beyond the call of duty.

That being said, this specific role is for a team member to work in the Machine Learning AI team as a Machine Learning Engineer.

The candidate will be working with clients on projects focused on delivering reliable data-powered software applications to production. The primary focus of the role includes designing and implementing data pipelines, building models (machine learning or not), and deploying models.

Melio believes in nurturing cross-functional capabilities in our team, so you will need to work closely with other technical roles, such as BI specialists, data scientists, DevOps engineers and other data and machine learning engineers either to observe or to assist.

This is a technical role, but due to the consulting nature of many of our projects, the candidate needs to be able to communicate effectively with both business and technical stakeholders.

The list below is for both machine learning engineer and data engineer, but we are not expecting you to perform as both an ML engineer and a data engineer. The idea is you should be sufficiently comfortable with either role to be aware and able to communicate and learn from your colleagues.

• Fluent with the following languages: Python, Spark, PySpark, SQL.
• Strong analytical skills and passion for solving data problems.
• Strong communications skills and comfortable presenting your own thoughts to technical and business stakeholders.
• Familiar with building training and inference pipelines for ML projects.
• Familiar with fundamental machine learning theory and building, tuning, selecting models.
• Familiar with MLOps principals.
• Some experience with at least one Cloud provider.
• Some experience working with test automation and tools.
• Implement and test data engineering and machine learning software.
• Build and test data engineering and machine learning pipelines for data analytics or machine learning solutions.
• Collaborate and share technical knowledge with team members and co-workers.
• Follow all best practices and procedures as established by the client or industry.
• Document designed solutions and implemented tools.
• Brainstorm new solutions to improve data and ML software development and deployment.
• Basic understanding of the cloud-native ecosystem and desire to learn and grow in this environment.

• Assist with setting up CI (Continuous Integration) and CD (Continuous Delivery) tools with the team.
• Monitor data/model metrics, and develop ways to improve application development and deployment.
• Maintain day-to-day management and administration of projects.

• Bachelor’s degree in Computer Science, Engineering, Software Engineering, Applied Mathematics, Statistics, or related field.
• 2+ years experience working with data science and data engineering. Previous experience with software development (e.g. Python, Java, Go).

Desired Skills

• Contribute and/or passionate about open source projects.
• Masters/PhD in Data Science, Machine Learning or AI.
• AWS certifications (or any other cloud).
• Interested in learning more about Cloud Native Computing Foundation technologies.

• Up-to-date on latest industry trends; able to articulate trends clearly and confidently.
• Able to interact with other team members via code and design documents.
• Good interpersonal skills and communication with all levels of management.
• Able to multitask, prioritize, and manage time efficiently.
• Curious and eager to learn about new technologies.
• Strong in critical thinking and problem-solving.

If you are interested in this position please email Merelda ( ) with the below information:

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SUMMARY:

Data Scientist – AI Platform – Johannesburg- up to R530 per hour

Recruiter:

E-Merge

Job Ref:

NG59920

Date posted:

Tuesday, May 20, 2025

Location:

Pretoria, South Africa

Salary:

1017600

SUMMARY:

Data Scientist – AI Platform – Johannesburg- up to R530 per hour

POSITION INFO:

A dynamic global group with a focus on innovation topics as well as comprehensive IT solutions and Global Team collaboration driving experiences with a deep insight into the compliance and IT Methodology processes is recruiting for an AI Consultant / Data Scientist to offer a deep insight into the compliance and IT Methodology processes, with the ability to offer an extended vested interest in the success and sustainability of the group.

Responsibilities:

• Assessing the department''s current AI maturity and identifying opportunities to leverage AI to improve business processes, decision-making, and outcomes.
• Designing and implementing AI solutions, including developing machine learning models, automating workflows, and integrating AI into existing systems.
• Providing training, coaching, and hands-on support to help our IT developers, functional consultants, business analysts.
• Serving as a subject matter expert and thought leader on AI, educating stakeholders and the department on the latest trends, technologies, and best practices.
• Collaborating cross-functionally to translate technical AI concepts into business value and get buy-in for AI initiatives.
• Continuously monitoring the performance of AI solutions and adjusting optimize their effectiveness.
• Any additional responsibilities assigned in terms of the Agile Working Model (AWM) Charter.
  
  

• BSc in Statistics, Informatics, or Computer Science
• NLP/NLU Technology Integration
• Strong interpersonal and organizational skills.
• Proficiency in Python (preferred), DevOps, and Cloud Management (AWS Sagemaker, EC2, S3).
• Experience in machine learning, automation, and change management.
• Languages: Python, JavaScript, HTML, CSS
• Tools: GitHub, Jira, Confluence, PyCharm, VSCode
• OS: Windows, Linux, Unix
  
  

• Seniority level Entry level

• Employment type Contract

• Job function Engineering and Information Technology
• Industries Advertising Services

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Location: Cape Town, SA / Remote
Employment Type: Full-time
Salary: Competitive + Share Options
Reporting To: Lead Data Scientist

Clairo AI is a London-based AI agent platform focused on fully private AI. Our platform enables businesses to deploy AI agents that connect to their internal data sources while ensuring complete privacy—without relying on external APIs.

We operate on our own bare-metal infrastructure and have developed a Kubernetes platform to deploy our AI models, microservices, and enterprise applications in a scalable manner. Our AI stack is designed to solve complex business challenges across data search, automation, and AI-powered decision-making .

Following a successful funding round, we are expanding our engineering and data science teams , hiring four to five new team members .

At Clairo AI, we embed Responsible AI into everything we do:

• Privacy: We prioritise data security and client confidentiality.
• Sustainability: Our Icelandic data centre enables us to run AI infrastructure with net-zero emissions.
• Trust: We ensure AI reliability through trust metrics, citations, and better prompting.
• Education: We actively educate businesses on how to use AI effectively and responsibly.

Join us in redefining AI for business—private, secure, and high-performance .

We are looking for a Data Scientist / ML Engineer to enhance the agentic capabilities of Clairo AI. This role involves building out Clairo’s AI agent framework.

You will work under the Lead Data Scientist, who is spearheading our AI vision. Your primary responsibility will be building, experimenting, and testing AI agent components to determine their effectiveness in various applications. These components will be deployed within Clairo’s Kubernetes stack for both customer solutions and Clairo’s SaaS platform.

If you are passionate about building AI-powered agentic systems, experimenting with cutting-edge agent SDKs, and deploying scalable AI models, this role will provide deep technical challenges and real-world impact.

• Develop and optimise AI agentic components within Clairo’s AI platform.
• Generate hypotheses, experiment, and test new AI techniques to evaluate their effectiveness in real-world applications.
• Contribute to and maintain the Agent code framework . Be a gatekeeper for code quality and design philosophy .
• Deploy AI models and components into Clairo’s Kubernetes stack , ensuring scalability and reliability .
• Work closely with the data science and engineering teams to drive innovation in Clairo’s AI agent framework.
• Contribute to MLOps best practices , ensuring efficient AI model lifecycle management .
  
  

• Strong grasp of general software engineering skills : version control, code orchestration, design patterns, Linux terminals, virtualisation technologies (Docker & K8s).
• Familiarity with Natural Language Processing (NLP) concepts: tokens, vectorisation, embeddings, semantic vs. syntactic meanings.
• Familiarity with LangChain or other agent SDKs/frameworks.
• Understanding of AI agent architectures and how to build modular AI systems .
• Strong problem-solving skills and ability to work in an experimental, research-driven environment .
• Strong grasp of traditional machine learning model paradigms and concepts (Supervised vs. Unsupervised, Tree models, optimisation, etc.).
• Understanding of retrieval-augmented generation (RAG) , vector databases , and knowledge retrieval systems .

• Experience with Hugging Face and fine-tuning LLMs .
• Experience with Crew AI (big plus).
• Ability to deploy AI models into Kubernetes-based infrastructure .
• Experience with Knowledge Graphs .
• Background in multi-agent AI architectures .
• Familiarity with private AI infrastructure and security best practices .
  
  

• Competitive salary with share options.
• Opportunity to relocate to the UK – After one year, Clairo AI will discuss visa sponsorship for candidates who wish to move to the UK.
• Unlimited leave – Take time off whenever you need it.
• Hybrid and flexible working – Work when and where you want, as long as the work gets done.
• Client project opportunities – Work directly with UK businesses, designing AI agents to solve complex challenges.
• Networking with top UK entrepreneurs – Clairo AI is closely connected to leading business figures, providing strong career-building opportunities.
• Cape Town team culture fund – Sponsored beer money for social gatherings with the Cape Town-based team.
• Future office space in Innovation City, Cape Town – A growing tech hub set to become Africa’s equivalent of Silicon Valley .

First Name

Last Name

Apply Now First Name Last Name Email Address Describe why you're interestedinAI Upload Resume Supported formats: PDF only Maximum size: 1 MB

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary

Bachelor’s degree in Information Technology, Computer Science, Software Development, Engineering, or a related field.

Minimum 7 years of post-graduate experience in a data engineering or MLOps role.

Minimum 4 years’ experience working with AWS cloud services or Databricks.

Minimum AWS Solutions Architect Associate certification.

AWS Machine Learning specialty certification is preferred.

Proficiency in machine learning, data engineering, and cloud-based architectures.

Excellent problem-solving skills and ability to work in a fast-paced environment.

Strong communication and leadership skills.

Job Description

About Us:

Absa, a premier financial services provider in Africa, prides itself on innovation and excellence in the banking sector. In our Product Solutions cluster, we are dedicated to creating forward-thinking products and services tailored to the diverse needs of our clients.

We are currently seeking a highly skilled and experienced Senior MLOps Engineer to join our data science team. The successful candidate will be an integral part of this cluster, specifically supporting the Vehicle and Asset Finance Data Science and Analytics team.

Role Overview:

As a Senior MLOps Engineer, you will play a crucial role in the deployment and maintenance of machine learning and AI solutions developed by our data science team. This role requires a unique blend of deep technical knowledge and practical experience in data engineering, machine learning operations (MLOps), and AWS cloud services, along with strong interpersonal, problem-solving and leadership skills.

Key Responsibilities:

• Design, implement and maintain MLOPs solutions on cloud (AWS/Databricks).
• Implement and manage MLOps pipelines to streamline the deployment of machine learning models in cloud (AWS/Databricks).
• Develop and maintain reusable feature stores, robust data architectures, and efficient data engineering practices.
• Data science model review, code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Work closely with risk and governance teams to ensure compliance and security in cloud environments (AWS/Databricks).
• Establish and enforce best practices and standards for MLOps within the cluster.
• Provide technical leadership and coaching to junior team members.
• Coordinate cross-functionally with various technical teams to facilitate the integration of AI solutions into business processes.
• Continuously monitor and optimize the performance of deployed machine learning solutions.
• Meaningfully contribute to & ensure solutions align to the design & direction of the group architecture, cloud governance, data standards, principles, preferences & practices. Short term deployment must align to strategic long-term delivery.

Technical skills:

• Strong understanding of MLOps practices and principles, including CI/CD pipelines, version control, and model deployment.
• Ability to design and implement MLOps pipelines in cloud (AWS/Databricks).
• Expertise in machine learning algorithms (frameworks such as scikit-learn, Keras, PyTorch, Tensorflow).
• Proficiency in programming languages such as Python, PySpark, Spark.
• Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark).
• Hands-on experience with AWS services for data processing such as AWS Glue, AWS Lambda, Amazon S3 and Amazon SageMaker.
• Proficiency in AWS management and deployment tools, including AWS CloudFormation, AWS CLI, AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, Amazon ECS, Amazon EKS, AWS Step Functions and Github.
• Experience in designing and implementing scalable data architectures.
• Familiarity with building and maintaining feature stores.
• Knowledge of database management, SQL, ETL processes and data warehousing principles.
• Ability to translate complex technical concepts into understandable terms for non-technical stakeholders.
• Understanding of data security, privacy, and compliance standards relevant to the banking industry.
• Experience coordinating with risk and governance teams to ensure secure and compliant solutions.
• Strong communication skills for effectively collaborating with cross-functional teams and mentoring junior staff.

Minimum Requirements:

• Bachelor’s degree in Information Technology, Computer Science, Software Development, Engineering, or a related field.
• Minimum 7 years of post-graduate experience in a data engineering or MLOps role.
• Minimum 4 years’ experience working with AWS/Databricks cloud services.
• Minimum AWS Solutions Architect Associate certification.
• AWS Machine Learning specialty certification is preferred.
• Proficiency in machine learning, data engineering, and cloud-based architectures.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication and leadership skills.

Why Join Us:

Absa offers a dynamic and innovative work environment where your contributions will directly impact the company's success. We provide competitive salaries, comprehensive benefits, and opportunities for professional growth and development.

Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and Absa Policies and Policy Standards.

Understand and manage risks and risk events (incidents) relevant to the role.

Education

Bachelor's Degree: Information Technology

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised.

Absa Group Limited, and originally Amalgamated Banks of South Africa, is a South African-based financial services group, offering personal and business banking, credit cards, corporate and investment banking, wealth and investment management.

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SUMMARY:

We are seeking an experienced Data Scientist with specialized expertise in Generative AI and LLMs.

Recruiter:

Datonomy Solutions

Job Ref:

855

Date posted:

Friday, July 4, 2025

Location:

Cape Town, South Africa

Salary:

R90k - 100k per month

SUMMARY:

We are seeking an experienced Data Scientist with specialized expertise in Generative AI and LLMs.

POSITION INFO:

We are seeking an experienced Data Scientist with specialized expertise in Generative AI and LLMs (Large Language models to join our team and help lead the implementation of cutting-edge AI solutions for a large retail customer.

Please note this role is based in Cape Town- ONSITE and is 12- month initial contract.

This is an exciting opportunity to work on a greenfield Generative AI project for a major retailer, where your contributions will have a direct impact on innovation and business growth.

Key Responsibilities :

• Lead the design and development of Generative AI models tailored to retail-specific use cases, such as personalized recommendations, content creation, and customer engagement.
• Collaborate with stakeholders, including data engineers, software developers, and business leaders, to identify opportunities for applying Generative AI within the retail environment.
• Build, train, and fine-tune models such as GPT, GANs, VAEs, or similar architectures to generate text, images, and other content that enhances the retail customer experience.
• Analyze large datasets to uncover patterns and insights that drive model development and improve decision-making processes.
• Prototype, validate, and deploy AI models into production environments, ensuring scalability and integration with existing systems.
• Stay up-to-date with advancements in Generative AI and machine learning technologies, implementing best practices and new methodologies to continuously enhance the project.
• Provide technical mentorship to junior data scientists and collaborate with the broader team to foster a culture of innovation and learning.
  
  

• Master’s or PhD in Data Science, Machine Learning, Artificial Intelligence, Computer Science, or a related field.
• 3+ years of experience as a Data Scientist, with at least 1 year focused on Generative AI projects.
• Proficiency with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
• Experience in the architecture & integration of large language models (LLMs)
• Experience working with Generative AI models such as GPT, GANs, or VAEs.
• Strong programming skills in Python, R, or a similar language, and experience with cloud platforms (AWS, Google Cloud, or Azure).
• Excellent problem-solving skills with the ability to transform complex business problems into AI-driven solutions.
• Strong understanding of data manipulation, processing, and cleaning techniques, with hands-on experience working with large datasets.
• Ability to communicate complex technical concepts to non-technical stakeholders.
  
  

• Experience in the retail industry or working on AI-driven customer experience initiatives.
• Familiarity with natural language processing (NLP), computer vision, and deep learning techniques.
• Strong knowledge of MLOps principles for deploying and maintaining machine learning models at scale.
• Prior experience with AI ethics, bias mitigation, and responsible AI practices.
  
  
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Advertising Services

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Business Unit: Discovery Insure

Function: Actuarial Sciences

Date: 24 Jul 2025

Discovery Insure

Machine Learning Engineer

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society .

About Discovery Insure

Discovery Insure is committed to creating a nation of great drivers through our innovative Shared-value Insurance model. Discovery Insure is South Africa’s fastest growing short-term insurance company with comprehensive products that provide protection against current and emerging risks facing clients in the motor and home insurance sectors. Vitality Drive, an internationally-recognised and award-winning programme, is a key differentiator in the market that incentivises and rewards clients for driving well. The Vitality Drive programme has been scaled to local and international markets which now include Europe and the Middle East. The company employs over 1 000 people who are committed to putting our customers and financial advisers first by providing unique and innovative solutions and cover.

Key Purpose

This ML Engineer is responsible for designing, building, managing, and continuously improving the operational processes that support the deployment and maintenance of actuarial, machine learning, and other decision-support models. The role involves end-to-end project planning, cross-functional collaboration with actuarial, data science, analytics, and business teams, and delivering insights into process efficiency across business areas. It also includes reporting on the design, progress, and performance of models and related business processes to drive operational excellence and informed decision-making.

Areas of responsibility may include but are not limited to

• Design and create implementation and testing processes for models in both a traditional and ML framework to ensure business decisions can be actioned quickly and effectively.
• Assist with the design and integration of traditional models and processes into cloud-based platforms like DataBricks to utilise additional functions and better performance.
• Responsible for deploying rating and logic engines using proprietary software, ensuring accurate implementation and seamless integration into production environments.
• Project planning and collaboration with actuarial, data science, underwriting, operational and system teams to ensure a smooth implementation process that reduces risks and achieves the required outcomes.
• Frequent monitoring and reporting on the progress and performance of existing models and processes, as well as presenting the design for new processes to upper management.
• Creation of automated processes and reports to reduce manual intervention and flag any areas of concern as they arise.
• Assessment of the efficiency and effectiveness of business processes through data analytics to identify any areas for improvement or cost savings.
• Implementation of pricing changes in existing models on a frequent basis, to ensure that changes in our pricing structure and strategies can be quickly actioned.
• Creation of new tools and processes that can be used to reduce manual intervention and turnaround time of our client support teams.

Skills and Knowledge:

• Modelling skills preferred (Basic)
• Programming Skills: SQL, Python (Intermediate)
• Microsoft Office (Excel, PowerPoint and Word) (Advanced)

Education and Experience

Education:

• Matric (Essential)
• Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Data Science (Essential)
• Min 3-5 completed CT subjects if Actuarial Degree (Advantageous)
• At least 1-3 years’ experience within a data driven industry
• Experience with Databricks
• Experience with Azure ML solutions
• Experience with WTW Software (e.g., Radar Live) (advantageous)

EMPLOYMENT EQUITY

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

We are looking for a talented Machine Learning Engineer to join our team, responsible for developing and deploying machine learning models and algorithms that drive business growth and innovation. The successful candidate will have a strong background in machine learning, deep learning, and software engineering, with a proven track record of delivering high-quality machine learning models and algorithms. The Machine Learning Engineer will work closely with cross-functional teams, including data science, product, and engineering, to identify opportunities for machine learning-driven innovation and develop strategic plans to execute on these opportunities.

1. Design, develop, and deploy machine learning models and algorithms that drive business growth and innovation
2. Collaborate with data scientists to develop and implement machine learning models and algorithms
3. Work with software engineers to integrate machine learning models and algorithms into production-ready software applications
4. Develop and maintain large-scale machine learning systems, including data pipelines, model training, and model serving
5. Optimize machine learning models and algorithms for performance, scalability, and reliability
6. Stay up-to-date with the latest advancements in machine learning, deep learning, and AI, applying this knowledge to drive innovation and improvement in machine learning models and algorithms
7. Collaborate with product managers to develop product roadmaps and prioritize features and requirements
8. Develop and maintain relationships with key stakeholders, including business leaders, product managers, and engineering teams
9. Communicate complex machine learning concepts and results to non-technical stakeholders, including business leaders and product managers

1. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
2. 3+ years of experience in machine learning, deep learning, or software engineering, with a focus on machine learning model development and deployment
3. Strong background in machine learning, deep learning, and software engineering, with expertise in areas such as natural language processing, computer vision, or recommender systems
4. Experience with machine learning frameworks and tools, such as TensorFlow, PyTorch, or Scikit-learn
5. Strong programming skills in languages such as Python, Java, or C++
6. Experience with cloud-based technologies, such as AWS or Google Cloud
7. Strong understanding of software engineering principles, including design patterns, testing, and version control
8. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Technical Skills:

1. Machine learning frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
2. Deep learning frameworks: Keras, TensorFlow, PyTorch, etc.
3. Cloud-based technologies: AWS, Google Cloud, Azure, etc.

Full time

Johannesburg

Lead, Artificial Intelligence & Machine Learning Engineer

Job Overview

Business Segment: Group Functions

Location: ZA, GP, Johannesburg, Baker Street 30

To shape the Standard Bank Group (SBG) artificial intelligence (AI) strategy and drive the creation of AI and machine learning (ML) solutions and projects; prioritising the delivery of new AI initiatives. To apply deep domain expertise in driving the AI strategy to enable SBG to be a business and thought leader in its desired markets.

Qualifications

• Masters Degree in Information Technology
• 8 - 10 Years' experience in the Artificial Intelligence and Machine Learning area