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Data Scientist – Durban (48016) needed at Ntice Sourcing Solutions

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Job title : Data Scientist – Durban (48016)

Job Location : KwaZulu-Natal, Durban

Deadline : August 10, 2025

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Job Description

  • Our Client is a forward-thinking organization leveraging data to drive strategic decisions and fuel innovation.
  • They are committed to solving real-world problems with data-driven insights and are looking for a passionate Data Scientist to join our growing team. – Hybrid or Remote depending on the area that you reside in.

Job Description

  • As a Data Scientist, you will play a key role in analyzing complex datasets, building predictive models, and delivering actionable insights to support business objectives.
  • This role is ideal for someone with a strong academic foundation in Mathematics and Computer Science, and a keen interest in statistical modeling, machine learning, and data analytics.

Key Responsibilities

  • Analyze large and complex datasets to extract insights and identify trends
  • Develop, test, and deploy machine learning models and algorithms
  • Collaborate with cross-functional teams to understand business problems and translate them into data solutions
  • Create dashboards and visualizations to communicate findings clearly
  • Ensure data integrity and quality throughout the data lifecycle
  • Stay current with industry trends and best practices in data science

Qualifications

  • BSc. Honours in Mathematics and Computer Science (or a closely related field)
  • Solid understanding of statistical analysis, linear algebra, and probability
  • Proficiency in programming languages such as Python, R, or SQL
  • Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib
  • Strong problem-solving skills and analytical mindset
  • Excellent communication and teamwork abilities

Preferred Qualifications

  • Experience with cloud platforms (AWS, Azure, GCP)
  • Knowledge of big data tools (Spark, Hadoop)
  • Prior work or internship experience in a data science or analytics role

What’s on Offer

  • Flexible work environment
  • Opportunities for professional growth and development
  • Inclusive and collaborative company culture
  • Exciting projects that make an impact

How to Apply for this Offer

Interested and Qualified candidates should Click here to Apply Now

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