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Data Scientist - AI Solutions

Job in Durban, 3611, South Africa
Listing for: Placements24
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
About the Role

Our client is seeking a talented and analytical Data Scientist to join their dynamic AI & Emerging Technologies team based in Durban . This role is crucial for developing and deploying innovative AI-driven solutions that address complex business challenges. You will work with large datasets, applying advanced statistical and machine learning techniques to extract actionable insights and build predictive models. This is an excellent opportunity for a data enthusiast to make a significant impact within a growing organization focused on leveraging AI for competitive advantage.

Key Responsibilities
  • Collect, clean, and preprocess large, complex datasets from various sources to prepare them for analysis and modeling.
  • Develop, validate, and deploy machine learning models for predictive analytics, classification, and anomaly detection.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and insights that can inform business strategy.
  • Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders through visualizations and reports.
  • Collaborate with domain experts and engineers to understand business requirements and translate them into data science problems.
  • Continuously research and apply new data science techniques and tools to improve model performance and efficiency.
Requirements
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • 3+ years of professional experience as a Data Scientist or in a similar analytical role.
  • Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., pandas, Num Py, scikit-learn, Tensor Flow/PyTorch).
  • Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
  • Experience with SQL and working with relational databases.
  • Excellent problem-solving skills and a passion for uncovering insights from data.
Benefits
  • Competitive salary and annual performance bonus.
  • Opportunity to work on challenging AI projects impacting business outcomes.
  • Comprehensive medical aid and retirement fund contributions.
  • Generous leave allowance and paid public holidays.
  • Professional development opportunities, including workshops and certifications.
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