Introduction Our client is looking for the following candidate to join the Data Science and Engineering team within the Group IT Hub South Africa, focusing on offering mature, professional, and safe AI building blocks tailored to solve specific enterprise problems.

The platform delivers expert chatbots that automate conversations within a safe, hardened environment across the global Group, alongside advanced tools designed to empower internal AI experts.

AI/ML & LLM Solutioning: Solid understanding of the complete AI/ML model development lifecycle paired with practical familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) approaches. Stakeholder & Platform Leadership: Minimum of 3–5 years of experience in data science or AI applications, acting as the primary stakeholder lead to translate complex business needs into actionable technical proposals. Completely Independent Delivery: Serve as a functional expert working autonomously to specify new AI products, processes, and standards, managing complex problems affecting multiple systems, and providing guidance to lower-level experts.

Who This Role Would Suit:

This role is tailor-made for a Senior Data Scientist who loves bridging the gap between deep machine learning engineering and high-level enterprise stakeholder management. It is ideal for an expert who wants to move beyond simply training standalone models, focusing instead on architecting secure chatbot environments, scaling LLM structures, and shaping a robust shared AI platform across an international enterprise. You are a completely independent professional who handles ambiguity with ease, turning unrefined business requests into actionable, highly scalable technical blueprints. You possess excellent interpersonal and storytelling skills, allowing you to influence project directions and achieve stakeholder buy-in across diverse organizational departments without needing direct command. If you are passionate about driving conversational AI, embedding smart MLOps frameworks, and leading cross-functional squads within a highly motivating DevOps ecosystem, this role offers an incredible landscape to execute your vision.

Position Details:

Contract Dates: 01-09-2026 to 31-12-2029 Location: Midrand / Menlyn / Rosslyn / Home Office Rotation Level: 6-8 Years related experience

Duties & Responsibilities Key Responsibilities:

Stakeholder Leadership: Serve as the primary stakeholder lead for AI platform initiatives, managing expectations and aligning priorities across business and technical teams. Solution Engineering: Translate business needs into detailed AI solution proposals, defining solution blueprints, data pipelines, and core model requirements. Cross-Functional Integration: Coordinate cross-functional workstreams with data scientists and software engineers to integrate AI components into production applications. Platform Enablement: Drive stakeholder workshops, training, and enablement sessions to increase enterprise adoption and understanding of AI/ML capabilities. Operations & MLOps: Support the adoption of repeatable MLOps practices and CI/CD pipelines. Define success metrics, monitor model performance in production, and coordinate remediation where needed. Governance & Compliance: Liaise directly with IT, security, and legal teams on data privacy, security boundaries, and compliance requirements for AI systems. Roadmap & Prioritization: Manage product prioritization and roadmap discussions with product owners and engineering leads to ensure continuous business value delivery.

Important Application Details

Location & Relocation

Applicants based outside of Gauteng must be willing to relocate. Please note that relocation to the province will be at the candidate's own cost.

Eligibility & Legal

Citizenship: South African citizens and residents are preferred. Work Permits: Candidates with valid work permits will be considered. Privacy: By applying, you consent to being added to our database and receiving updates until you unsubscribe.

Application Status

If you do not receive a response within 2 weeks, please consider your application unsuccessful.

#isanqa #isanqaresourcing #fuelledbypassionintegrityexcellence #thegroup #DataScientist #SeniorDataScientist #DataScience #AIEngineering #LLM #ChatbotAI #RAG #MLOps #DevOps #TechJobsSA #GlobalTechJobs

Desired Experience & Qualification Qualifications & Experience:

Degree in Data Science, Computer Science, Statistics, Engineering, or equivalent relevant experience. Minimum of 3–5 years of commercial experience in data science, AI applications, or related fields. Proven track record of designing or enabling AI/ML/Data Engineering solutions with demonstrated stakeholder management experience. Experience working with cross-functional delivery teams to deploy models into production environments.

Essential Skills & Technologies:

Data Science & Technical Proficiency:

Solid understanding of the AI/ML model development lifecycle (including training data curation, feature engineering, and model evaluation). Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) architectures. Familiarity with MLOps practices, deployment patterns, and pipeline integration for productionizing enterprise models. Familiarity with cloud-based AI infrastructure and related scalability, reliability, and security considerations.

Leadership & Communication:

Strong communication skills with the clear ability to engage both technical and non-technical stakeholders effectively. Experience interpreting complex business needs and converting them into actionable proposals and implementations. Ability to translate complex technical concepts into clear business value and ROI.

Advantageous Skills:

Hands-on experience with Python and data science tooling (model training, evaluation, hyperparameter tuning). Familiarity with cloud platforms and services for AI (specifically AWS or Azure environments). Knowledge of asynchronous architectures and native AWS services (API Gateway, Lambda, S3, SQS). Familiarity with containerization and deployment tools (Docker, Kubernetes). Knowledge of MLOps/DevOps workflows, pipeline automation, and CI/CD tools (e.g., GitHub Actions). Understanding of data governance, master data management, and data pipeline structures. Familiarity with frontend concepts and APIs for integrating AI features into downstream customer products. Experience with computer vision use cases, including object detection, segmentation, and classification. Comfortable coaching internal teams on low-code/no-code solutions to accelerate platform adoption. Experience presenting technical roadmaps and financial ROI analysis to business stakeholders.

Interested? Explore Our Latest Opportunities: iSanqa Careers Page

Stay in the Loop: Subscribe to our weekly mailing list so you don’t miss out!

Join Our Job Notification Channels: Stay updated on WhatsApp or choose your specific field on Telegram:

Communication Preferences: Please let us know how you would like us to manage your details:

Opt-In: I want to receive updates on new opportunities via mail, call, or text. Database Only: Keep my profile on file, but do not contact me. Remove: Completely remove my details from the database.

Data Scientist_AI Engineering (Contract) - Gauteng/Hybrid - ISB1501958

Required Skills

Job Description