Data Scientist - CPT/JHB/DBN
Data Scientist - CPT/JHB/DBN
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1 Vacancy
Job Description
Description
Responsibilities:
The purpose: To analyse large volumes of structured and unstructured data develop predictive and classification models and create data-driven solutions aligned with business needs. The role also includes preparing and transforming data for modelling deploying machine learning models and collaborating across teams to drive innovation and deliver actionable insights.
Data Analysis and Modelling
Analyse large volumes of structured and unstructured data to identify trends patterns and actionable insights.
Develop train and validate predictive and classification models such as regression decision trees clustering and recommendation systems.
Work with time-series transactional and behavioural datasets to generate advanced analytical insights.
Model Development and Deployment
Implement machine learning models using Python R or similar programming languages.
Collaborate with engineering teams to deploy and integrate models into production systems and applications.
Continuously monitor and fine-tune deployed models to ensure optimal performance and accuracy.
Data Preparation and Feature Engineering
Partner with data engineers to define extract and structure relevant datasets.
Clean transform and normalize raw data to enable accurate modelling.
Perform feature extraction and conduct exploratory data analysis (EDA) to inform modelling and reporting activities.
Business Alignment
Align data science initiatives with business goals to drive measurable impact.
Translate complex analytical outputs into clear actionable recommendations for stakeholders.
Collaborate cross-functionally to ensure data-driven solutions meet operational and strategic needs.
Business Collaboration and Communication
Collaborate with business stakeholders to understand key challenges and identify data-driven opportunities.
Translate complex business problems into data science solutions with clear objectives and measurable outcomes.
Communicate analytical findings effectively to non-technical audiences through dashboards visualizations and reports.
Collaboration and Best Practices
Work within cross-functional Agile teams to deliver iterative high-impact data science solutions.
Document methodologies model logic and code to support knowledge sharing and team reusability.
Contribute to the evolution and improvement of data science standards frameworks and best practices.
- Bachelors or Honours degree in Data Science Statistics Computer Science Applied
Mathematics or related field. - Minimum applicable experience (years): 35 years of experience in a data science role ideally in a fast-paced or product-led environment
- Proficient in Python (preferred) or R for data science and machine learning tasks.
Experience with Azure Fabric ML libraries . - Solid SQL skills; familiarity with big data tools (e.g. Azure Synapse Analytics Fabric) is a
plus. - Experience with Power BI as primary data visualization tool.
- Experience working with APIs Azure cloud environments and Git-based workflows
Kindly forward your CV to Gaby Turner at or you may forward your CV to
Package & Remuneration
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Employment Type
Full-Time
