142 Data Science Teams jobs in Gauteng

Overview

Sherlock Holmes of Sourcing | Recruitment Researcher | Talent Detective for Hidden Gems!

We’re on the hunt for an AI Genius!

Are you the type of person who dreams in algorithms, speaks in code, and breathes AI innovation? We’re looking for an Intermediate AI Specialist who’s ready to build the future today.

This isn’t just another job, it’s your chance to engineer intelligence . You’ll be working full-time, on-site in the heart of Sandton, Gauteng , where bold ideas turn into cutting-edge solutions.

Your Impact

• Design and train AI/ML models built for the unique challenges of collections and recoveries.
• Build intelligent chatbots and voice AI systems that engage customers at scale.
• Apply the latest AI frameworks, languages, and platforms to optimize conversations that drive results.
• Transform high-volume, high-pressure environments into seamless, automated solutions.

Core Technical Skills

• Generative AI & LLMs (GPT, LLaMA, Claude, Falcon, PaLM, etc.) with fine-tuning & prompt engineering.
• NLP & Speech (Whisper, wav2vec, Hugging Face, conversational AI/chatbot frameworks).
• Frameworks & APIs : Hugging Face, PyTorch/TensorFlow, LangChain, OpenAI/Anthropic APIs.

Key Experience

• Hands-on projects with LLMs, chatbots, transcription, and RAG pipelines .
• Bonus: research/papers on NLP, generative AI, or deep learning.

What We’re Looking For

• Degree in Mathematics, Statistics, Actuarial Science, or Data Science .
• Bonus: background in collections, contact centres, or financial services .
• Obsessed with innovation, speed, and results .

If you’re ready to be the AI brain behind groundbreaking solutions and thrive in a fast-paced, high-impact environment, we want you!

Contact :

Disclaimer: If you do not hear back from us within two weeks, please consider your application for this vacancy unsuccessful. Your profile will be kept on our database for any other suitable roles in the future. We also invite you to reach out to us to discuss your next finance career opportunity.

• Mid-Senior level

• Full-time

• Finance
• Staffing and Recruiting

Get notified about new Artificial Intelligence Specialist jobs in Johannesburg Metropolitan Area .

Location: Johannesburg North

Are you passionate about building intelligent systems that change the way people interact with technology? Join our team to develop next-generation AI solutions that power smarter, faster, and more natural customer experiences.

• Conversational AI platforms – voice and text agents that handle interactions at scale
• Real-time processing – AI systems that respond in milliseconds

• 3+ years’ experience in AI/ML development
• Expertise in NLP, speech recognition, LLMs, STT & TTS
• Strong Python skills with ML frameworks (TensorFlow, PyTorch, etc.)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Hands-on with text & voice bots, conversational AI frameworks
• Knowledge of APIs & microservices architecture
• Bonus: MCP and vibe-coding exposure
• Drive to build production-ready AI systems that make an impact

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Analyst, Finance, and Research
• Industries: Financial Services, Data Infrastructure and Analytics, and Climate Data and Analytics

If you’re ready to build AI that truly makes a difference, we’d love to hear from you!

Business Segment: Insurance & Asset Management

Location: ZA, GP, Roodepoort, Ellis Street 4

To develop and maintain complete data architecture across several application platforms, provide capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmaps.

Minimum Qualifications

1. Type of Qualification: First Degree
2. Field of Study: Business Commerce
3. Type of Qualification: First Degree
4. Field of Study: Information Studies
5. Type of Qualification: First Degree
6. Field of Study: Information Technology

Experience Required

1. Software Engineering
   5-7 years: Experience in building databases, warehouses, reporting and data integration solutions. Experience building and optimising big data data-pipelines, architectures and data sets. Experience in creating and integrating APIs. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
2. 8-10 years: Deep understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory.
3. 8-10 years: Experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools.

Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any form of payment as part of our recruitment process. If you experience this, please contact our Fraud line on or

Overview

Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax and related services. Our global network of member firms and related entities in more than 150 countries and territories (collectively, the “Deloitte organisation”) serves four out of five Fortune Global 500 companies. Learn how Deloitte’s approximately 457,000 people make an impact that matters at

Deloitte Consulting — Our Culture

Innovation, transformation and leadership occur in many ways. At Deloitte, our ability to help solve clients’ most complex issues is distinct. We deliver strategy and implementation, from a business and technology view, to help lead in the markets where our clients compete.

Are you a game changer? Do you believe in adding advantage at every level in everything you do? You may be one of us.

Deloitte Consulting is growing, with a focus on developing our already powerful teams across our portfolio of offerings. We are looking for smart, accountable, innovative professionals with technical expertise and deep industry experience insights. The combination of our 6 areas of expertise, our well-developed industry structure and our integrated signature solutions is a unique offering never seen before on the African continent.

Deloitte Consulting - AI & Data

Be at the forefront of the revolution.

AI-enabled technologies are shaking business foundations. Some find this daunting. We see opportunity—for clients, societies, and people.

Deloitte’s AI & Data Specialists partner with clients to leverage AI and reach new levels of organisational excellence. We turn data into insights, into action—at an industrial scale.

Join us as we enable clients to grasp the future and reach new heights. Learn from the best in the field to create solutions blending data science, data engineering, and process engineering with our industry-leading expertise.

Ready to shape the future?

Join us to reimagine what's possible with data. At Deloitte, your engineering leadership will drive outcomes that matter — not just pipelines, but real-world transformation.

At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.

Join us. Shape the future. Win big

Job Description

As a Data Engineering Manager , you will lead the design, build, and scale of enterprise-grade data infrastructure and pipelines to power advanced analytics, AI solutions, and AI transformations across Tier-1 clients on the African continent. You will work at the intersection of business strategy and technical delivery , guiding multidisciplinary teams to enable data-driven decision-making and measurable business impact.

You will be responsible for:

• Architecting scalable, secure, and high-performance data platforms
• Leading the design and development of robust ingestion, transformation, and governance pipelines
• Managing project timelines and deliverables across diverse industry engagements
• Coaching data engineers and analysts to deliver client-ready solutions
• Collaborating with AI/ML specialists, solution managers, and client stakeholders to translate strategic needs into modern data capabilities

Key Responsibilities

• Lead and own data engineering workstreams across AI transformation, analytics modernisation, and digital core rebuilds
• Design and implement data pipelines using modern architectures (e.g., Delta Lake, Data Mesh, Data Lakehouse)
• Drive data modelling, data quality, and metadata management best practices aligned to business KPIs
• Build, manage, and scale cloud-native data infrastructure (e.g., on AWS, GCP, Azure)
• Mentor junior engineers, oversee code reviews, and ensure delivery quality to tier-1 consulting standards
• Translate business and industry requirements into scalable data engineering solutions
• Partner with AI, strategy, and business consulting teams to deliver end-to-end data value realisation

Qualifications

• Bachelor’s Degree in Data Science, Engineering or related Degree
• Post Grad Degree in Data Science Engineering or related Degree
• Data related Cloud Certifications

Additional Information

• 8–12+ years of experience in data engineering, with at least 2 years in a team leadership or technical management role
• Proficient in building modern ETL/ELT pipelines using tools like Apache Spark, DBT, Kafka, Airflow
• Strong programming skills in Python and SQL (Scala/Java a plus)
• Deep experience with cloud data ecosystems (e.g., AWS Redshift/Glue, GCP BigQuery/Dataflow, Azure Synapse)
• Strong understanding of data warehousing, data lakes, streaming, and batch architecture
• Experience with CI/CD for data , testing frameworks, and infrastructure-as-code (Terraform, etc.)
• Familiarity with data governance and security frameworks in regulated industries (e.g., FSI, healthcare)
• Previous experience in a top-tier consulting environment or client-facing data role
• Exposure to AI/ML deployment pipelines , MLOps, or analytics productisation
• Experience in delivering data modernisation programs at enterprise scale
• Cross-industry knowledge with a focus on FSI, Telco, Consumer, or Healthcare

At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.

Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.

Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information.

To help you look out for potential recruitment scams, here are some Red Flags:

• Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies.
• Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process.
• Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand.

If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email.

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Get AI-powered advice on this job and more exclusive features.

POSITION INFO:

Are you a forward-thinking AI professional passionate about shaping intelligent solutions with real-world impact? Our client is looking for an Artificial Intelligence (AI) Engineer to join their high-impact team, dedicated to developing and deploying cutting-edge AI applications across complex industries such as energy, logistics, and finance.

Artificial Intelligence (AI) Engineer

Recruiter:

WatersEdge Solutions

Job Ref:



Date posted:

Wednesday, June 11, 2025

Location:

Johannesburg, South Africa

SUMMARY:

POSITION INFO:

Are you a forward-thinking AI professional passionate about shaping intelligent solutions with real-world impact? Our client is looking for an Artificial Intelligence (AI) Engineer to join their high-impact team, dedicated to developing and deploying cutting-edge AI applications across complex industries such as energy, logistics, and finance.

About The Role

This is an exciting opportunity for a highly skilled AI Engineer to contribute to both hands-on development and strategic innovation. You’ll play a key role in research-driven implementation, solution design, and full lifecycle AI model deployment. Reporting into senior technical leadership, you'll help shape the future of the organisation’s AI capability.

Key Responsibilities

• AI Model Development: Design, develop, and deploy machine learning and generative AI models, with a focus on semi-supervised learning and open-set recognition.
• Cross-Functional Integration: Collaborate with business units to ensure AI solutions align with strategic objectives.
• Research & Prototyping: Lead and contribute to real-time AI application research and prototyping in complex domains.
• Lifecycle Ownership: Oversee AI development from data ingestion through to deployment, monitoring, and performance optimisation.
• Architecture & Strategy: Contribute to high-level platform architecture and AI strategy.
• Knowledge Sharing: Document processes, share insights, and contribute to internal technical education.
• Ethical AI Compliance: Ensure solutions adhere to responsible AI standards and legal frameworks.
  
  

• PhD, Master’s, or Honours degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field
• 3+ years of hands-on experience developing and deploying AI/ML solutions
• Proficiency in Python, including TensorFlow, PyTorch, and Scikit-learn
• Strong knowledge of generative AI, machine learning, and data science
• Experience in deploying AI solutions on cloud platforms such as AWS or Google Cloud
• Excellent communication, problem-solving, and cross-functional collaboration skills
  
  

• Experience in smart grid systems, automation, or data-intensive domains
• Background in AI research or academic publishing
• Contributions to open-source AI projects or community initiatives
• Familiarity with AI governance and compliance
  
  

• Competitive market salary
• Growth opportunities in a dynamic and innovation-driven environment
• Collaborative culture with support for technical development and research
• Opportunity to make meaningful impact in industries undergoing digital transformation
  
  

• Innovation-First Mindset – Always looking to build smarter, faster, and better.
• Collaborative Culture – Strong focus on teamwork and cross-functional partnerships.
• Integrity in AI – Committed to ethical, responsible use of emerging technologies.
• Real-World Impact – Dedicated to solving real problems with scalable AI solutions.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Advertising Services

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