121 Python developer Jobs and Work

Senior Data Scientist
Ovations Technologies —Johannesburg, Gauteng
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Secure IQ Services —South Africa
- Full-time
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Junior/Mid Data Engineer (DT1)
Veritas World SA (Pty) Ltd —South Africa
- R35 000 - R45 000 a month
- Full-time
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8d
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Senior Data Scientist

Ovations Technologies -
Johannesburg, Gauteng

Quick Apply

Job Details

8 days ago

Full Job Description

We're Hiring: Senior Data Scientist (TigerGraph & AKS Kubernetes)

Location: Johannesburg
Employment Type: 12 months contract
Experience: Senior (7+ years) | Principal (10+ years)

Are you passionate about Graph AI, distributed systems, and cloud-native platforms? We're looking for an experienced Senior Data Scientist/AI Engineer to design and implement enterprise-scale graph platforms that power advanced analytics, AI, and machine learning solutions.

You'll play a key role in architecting and deploying TigerGraphsolutions on Azure Kubernetes Service (AKS), enabling high-performance, relationship-driven intelligence across enterprise data.

Key Responsibilities

Graph Engineering & AI

Design and develop enterprise-scale graph data models and graph analytics solutions.
Build advanced graph-based machine learning solutions, including:
- Graph Neural Networks (GNNs)
- Link Prediction
- Community Detection
- Path Analysis
Develop enterprise Knowledge Graphs supporting AI, GenAI, and Retrieval-Augmented Generation (RAG).
Create graph-derived features to improve machine learning models and intelligent decision-making.

TigerGraph Development

Develop and optimise graph queries using GSQL.
Design scalable graph architectures and optimise query performance.
Implement secure, high-performance data ingestion pipelines from enterprise platforms such as Azure Data Lake Storage (ADLS) and Databricks.
Deliver graph analytics solutions supporting:
- Fraud Detection
- Financial Crime
- Customer Intelligence
- Network Risk Management

Kubernetes & Cloud Engineering

Architect, deploy, and manage TigerGraph clusters on Azure Kubernetes Service (AKS).
Design and manage containerised workloads using Kubernetes.
Configure networking, storage, autoscaling, security, and monitoring for graph platforms.
Develop CI/CD pipelines and infrastructure automation using Kubernetes-native DevOps practices.
Continuously optimise platform performance, scalability, resilience, and cost efficiency.

Architecture & Leadership

Design end-to-end graph solution architectures integrated with enterprise data platforms and APIs.
Provide technical leadership and mentorship on graph technologies, Kubernetes, and cloud-native engineering.
Evaluate emerging technologies and contribute to the evolution of enterprise AI platforms.
Collaborate with business and technical stakeholders to translate complex requirements into scalable solutions.

Required Qualifications

Education

Bachelor's Degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM discipline.

Advantage

Master's Degree in a related field.

Preferred Certifications

TigerGraph Certification
Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)
Microsoft Azure Certifications

Required Experience

Senior

7+ years' experience

Principal

10+ years' experience

Experience in:

Enterprise Graph Engineering
Distributed Systems
Cloud-native Architecture
Kubernetes Platform Engineering
Financial Crime or Fraud Analytics
Enterprise API Integration
DevOps and Infrastructure Automation

Technical Skills

Graph Technologies

TigerGraph
GSQL
Graph Theory
Graph Algorithms
Knowledge Graphs
Graph Machine Learning

Programming

Python (Essential)
Java and/or Scala

Cloud & Data

Azure Kubernetes Service (AKS)
Kubernetes
Docker
Azure Data Lake Storage (ADLS)
Databricks
Apache Spark
Streaming Frameworks

DevOps

CI/CD
Infrastructure as Code
Kubernetes-native deployment
Monitoring & Observability

What We're Looking For

Strong analytical and problem-solving skills
Passion for AI, graph technologies, and innovation
Excellent communication and stakeholder engagement skills
Experience working in high-performance, enterprise environments
Ability to mentor technical teams and drive engineering excellence

Quick Apply

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