Information Technology

Client Platform

Technical Skills

Strong C# application troubleshooting & code/stack-trace analysis

Vue.js & Electron debugging using DevTools, IPC, packaging & updates

Angular troubleshooting and basic development

Windows & Linux .NET application/server support

Diagnose firewalls, proxies, certificates, PKI, TLS & network issues

Azure Monitor & Log Analytics for telemetry and root-cause analysis

PowerShell/Bash scripting for troubleshooting automation

Production & Incident Support:

Triage incidents, prioritise severity & manage client communication

Identify configuration vs environment vs product issues

Support occasional after-hours international client escalations

Contribute to bug fixes, stability improvements & Azure networking

Site Reliability Engineer (SRE)

Key Responsibilities:

Operate production Kubernetes & Azure environments using Terraform

Build and maintain GitHub Actions CI/CD pipelines

Own observability, dashboards, alerting, SLOs & incident response

Manage secrets, identity, networking & security

Partner with engineering teams to improve platform reliability

Key Responsibilities:

Build Python & PySpark pipelines on Delta Lake

Replatform legacy T-SQL to Spark SQL

Develop tested, type-safe Python with CI quality gates

Build FastAPI REST APIs with authentication & job tracking

Validate migrated pipelines against legacy systems

Work spec-first, following design documents & ADRs

We are seeking a full-time Senior Data Science Consultant with strong data science and consulting expertise

to join a dynamic and growing Data Science team.

ROLE AND RESPONSIBILITIES

As part of the Data Science team, the successful candidate will report directly to the Head of Data Science.

The Senior Data Science Consultant will be responsible for designing and leading data science projects, while

providing strategic insights and recommendations to clients by leveraging data analytics and alternative

data.

The ideal candidate will possess a unique blend of strategic thinking, business acumen, and advanced data

analytics capabilities to drive impactful solutions and assist clients in achieving their business objectives.

KEY RESPONSIBILITIES

• Strategic Analysis: Support Sales and Consulting functions with analysis of client businesses, industries,

and market trends to identify strategic opportunities and challenges.

• Strategic Planning: Collaborate proactively with clients and consulting teams to develop strategic plans and

roadmaps based on data-driven insights.

• Client Engagement: Build and maintain strong client relationships and identify opportunities for upselling

and cross-selling value-added services.

• Project Leadership: Design and lead data science and analytics projects aligned with client requirements

and agreed timelines.

• Data Collection & Analysis: Collect, clean, and analyse large datasets to derive actionable insights.

• Modelling & Forecasting: Develop predictive models, data products, and forecasting algorithms to support

strategic decision-making.

• Performance Measurement: Develop KPI frameworks and reporting dashboards for strategic initiatives.

• Thought Leadership: Stay updated with industry trends, emerging technologies, and best practices in data

science and alternative data.

Maximum salary R100 000 per month

-  To facilitate data-driven decision-making and improve company operations, the Data Scientist will develop and execute cutting-edge AI and BI solutions.

-  Drive data science projects, using sophisticated analytics and machine learning models to address difficult business challenges and generate actionable insights.

-  They will collaborate with other departments to design data strategies, build models, and embed those models into software-driven business processes.