Senior Data Scientist; Machine Learning Focus

Our client, a leading innovator in financial technology, is seeking a highly skilled Senior Data Scientist with a strong specialization in Machine Learning to join their growing team in Mossel Bay, Western Cape . This role offers a unique opportunity to leverage vast datasets to develop predictive models, drive business insights, and create cutting-edge data-driven products. You will work at the forefront of data science, applying advanced statistical and machine learning techniques to solve complex business problems.

The ideal candidate will possess a deep understanding of ML algorithms, data manipulation, and model deployment. This position is based in our client's modern offices located in the scenic coastal town of Mossel Bay , offering a stimulating work environment combined with the lifestyle benefits of the Western Cape .

• Develop, train, and deploy machine learning models for various applications, including prediction, classification, clustering, and anomaly detection.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights within large datasets.
• Clean, transform, and preprocess complex datasets to prepare them for modeling.
• Evaluate and compare different machine learning algorithms and techniques to determine the most effective solutions.
• Collaborate with data engineers and software developers to integrate ML models into production systems.
• Design and conduct experiments to test hypotheses and validate model performance.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Stay abreast of the latest research and advancements in machine learning and data science.
• Mentor junior data scientists and contribute to the team's knowledge sharing.
• Develop and maintain documentation for models, methodologies, and processes.
• Ensure the ethical and responsible use of data and AI models.
• Optimize model performance and scalability for production environments.

• Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a significant focus on machine learning.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, Tensor Flow, PyTorch, Keras, Pandas, Num).
• Strong experience with data manipulation and analysis tools.
• Deep understanding of various machine learning algorithms (e.g., regression, decision trees, random forests, SVM, neural networks, NLP).
• Experience with model evaluation metrics and techniques.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Experience with SQL for data extraction and manipulation.
• Knowledge of cloud platforms (AWS, Azure, GCP) and their ML services is desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work effectively in a collaborative, hybrid work environment.

• Competitive annual salary between R .
• Hybrid work model combining office and remote work flexibility.
• Prime office location in Mossel Bay with beautiful surroundings.
• Comprehensive health, dental, and vision benefits.
• Generous vacation policy and paid holidays.
• Opportunities for continuous learning, workshops, and conference attendance.
• Collaborative team environment with opportunities for impactful contributions.
• Retirement savings plan and other employee perks.