Ai Engineer

Intellinexusgroup; Gauteng; Hybrid; ZAR 600 000 - 900 000; Full time

Job summary

A leading data consultancy in Gauteng is seeking a skilled Data Scientist with expertise in AI and a strong background in financial services. This role involves designing and implementing machine learning models for financial applications such as credit risk assessment and fraud detection. The ideal candidate will have proven analytical abilities and deep business understanding, enabling them to provide AI-driven insights that enhance decision-making and efficiency. Remote and hybrid opportunities are available.

Qualifications

• Proven experience in data science with a focus on financial services.
• Ability to design and implement AI and machine learning models.
• Experience with natural language processing (NLP) and generative AI.

Responsibilities

• Design and implement AI models for credit risk assessment.
• Develop NLP models for financial document analysis.
• Ensure models are interpretable and explainable.

Skills

Expertise in Artificial Intelligence (AI)

Strong analytical abilities

Technical proficiency in machine learning

Deep business understanding

Job description

About Us

Intellinexus is a business‑led data and business intelligence consultancy that empowers organisations with data‑driven decision‑making capabilities.

We combine innovation and expertise with access to the best talent to help organisations become smarter, more agile, and more resilient to the changes in their operating environments.

Our expert teams apply a mastery of data and technology to craft strategies that revolutionise business decision‑making, and give organisations access to real‑time, actionable insights into the performance of their business.

Intellinexus offers remote and hybrid opportunities.

Job Description

We are seeking a highly skilled Data Scientist with expertise in Artificial Intelligence (AI) and a solid financial services background to join our team.

The ideal candidate will combine strong analytical and technical abilities with deep business understanding to deliver AI‑driven insights and solutions that enhance decision‑making, improve efficiency, and unlock new opportunities in the financial domain.

Responsibilities

• Design, develop, and implement AI and machine learning models tailored to financial use cases such as credit risk assessment, fraud detection, portfolio optimisation, customer segmentation, and predictive analytics.
• Develop and deploy natural language processing (NLP) and generative AI models for financial document analysis, chatbots, and automation.
• Ensure models are explainable, interpretable, and co.