Senior Data Scientist

4 weeks ago

Cape Town, South Africa PBT Group Full time

We are seeking a highly skilled Senior Data Scientist to join our team and drive advanced data analytics, machine learning initiatives, and data-driven decision-making processes. The ideal candidate will have extensive experience in Python programming , with additional expertise in cloud platforms such as AWS or Azure being advantageous. Familiarity with Generative AI (Gen AI) concepts will be a significant asset as we continue to explore cutting-edge technologies for business solutions.

Key Responsibilities:

  • Lead the development and implementation of data science models, including machine learning, deep learning, and statistical models to address business challenges.
  • Design, develop, and optimise end-to-end data pipelines to extract, transform, and load data for analysis.
  • Collaborate with cross-functional teams to identify and deliver impactful data insights that influence business decisions.
  • Apply advanced machine learning techniques, including natural language processing, predictive modelling, and optimisation.
  • Stay abreast of the latest developments in Generative AI and evaluate its potential applications within the organisation.
  • Mentor junior data scientists and data engineers, providing guidance on best practices and model development.
  • Work with large datasets to build predictive models and perform data-driven decision-making.
  • Deploy and manage machine learning models in production environments on cloud platforms (AWS or Azure).
  • Collaborate with stakeholders to define project objectives, scope, and deliverables.

Required Skills and Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Mathematics, Computer Science, Statistics, or a related field.
  • 5+ years of experience in data science, machine learning, or a related role.
  • Proficiency in Python for data analysis, machine learning, and statistical modelling.
  • Experience with cloud technologies such as AWS or Azure for building and deploying models.
  • Strong experience with SQL for querying databases and manipulating data.
  • Experience working with libraries and frameworks such as Pandas, NumPy, Scikit-learn , and TensorFlow or PyTorch .
  • Solid understanding of machine learning algorithms, including regression, classification, clustering, and deep learning.
  • Familiarity with Generative AI and its applications will be an added advantage.
  • Experience in data visualisation tools such as PowerBI , Tableau , or Matplotlib .
  • Excellent problem-solving skills and ability to communicate complex ideas effectively to both technical and non-technical stakeholders.

Preferred Qualifications:

  • Experience with CI/CD pipelines for machine learning models.
  • Strong understanding of MLOps and managing machine learning lifecycle in production environments.
  • Certification in AWS or Azure (e.g., AWS Certified Machine Learning Specialty, Microsoft Azure AI Engineer Associate).
  • Familiarity with natural language processing (NLP) and deep learning models.

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