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Data Scientist | Contract

  • Cape Town
  • Salary: Market Related
  • Job Type: Contract
  • Sectors: Technology Consulting
  • Reference: 172317

Apply before Mar 31 2026 | 36 Days left

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Vacancy Details

Employer: iqbusiness South Africa

iqbusiness is seeking to employ a Data Scientist on a 12-month contract to collaborate with an international partner from our offices in Welgemoed, Cape Town, Northern Suburbs. This is a hybrid role (3 days on-site; 2 days WFH).

As a key member of our analytics team, you will drive the development of advanced data science and machine learning solutions that unlock predictive power and actionable insights. You'll perform exploratory data analysis, build and deploy machine learning models, and rigorously measure performance to ensure accuracy and business impact. Working closely with stakeholders, you'll recommend effective AI and predictive strategies that shape the future of intelligent decision-making.

Key Responsibilities:

  • Build, deploy, and monitor machine learning models for business analytics and predictive tasks.
  • Perform EDA to identify trends, patterns, and actionable insights from complex datasets.
  • Measure and optimise model performance using appropriate metrics (accuracy, precision, recall, etc.).
  • Enrich the existing data model based on changes in data sources and evolving business needs.
  • Monitor data pipelines and processes, performing bug fixing to ensure model integrity.
  • Test new releases and document, design, implement, and reconcile AI/ML solutions.
  • Collaborate with the data science team and end users to propose machine learning solutions that meet business needs.
  • Take ownership of projects and user stories, update progress, and share updates with the team.

Minimum Requirements:

  • Bachelor's Degree in Computer Science, Statistics, Mathematics, or equivalent
  • 3+ years of experience in data science or machine learning roles
  • 3+ years of experience with Python or R for data analysis and modelling
  • Hands-on experience with machine learning libraries and frameworks (e.g. scikit-learn, TensorFlow, PyTorch)
  • Strong proficiency in SQL for data extraction and manipulation
  • 2+ years working with end users to define requirements and propose solutions
  • Experience with one of: Salesforce / CRM Analytics / Snowflake / Power BI

Skills Required:

  • Strong understanding of machine learning algorithms and statistical modelling
  • Ability to work with end users to define requirements and identify AI/ML solutions
  • Excellent analytical and problem-solving skills
  • Excellent communication skills with the ability to explain complex models to non-technical stakeholders
Note: As all business roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information, our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

IQbusiness is committed to sustainable growth and transformation; we embrace diversity and employ previously disadvantaged individuals.

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1 person has applied for this job. 22 people have viewed this job.

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Opportunity

IQbusiness has also given me the opportunity to be involved in exciting initiatives such as B-Corp and the Women’s Chapter Network which allows me to find meaning in my work. Working under good leadership and a supportive team at IQbusiness really makes me enjoy coming to work every day.

Sheneez Sigamoney
RAS – Senior Associate – Sustainability

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© Careers24. All rights reserved.

About Careers24.com

  • Careers24 is a leading South African job portal that assists jobseekers from all sectors and experience levels to find and apply for vacancies from hundreds of South Africa’s leading companies. With over a million visitors a month, we are one of the most popular destinations to find employment online in South Africa.

    Our mission is to become the destination where every candidate can find an ideal job and where every company can find the perfect candidate. We are a proud member of the Media24 family and part of the Naspers group of companies.

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