Jnr Data Scientist Umhlanga, KZN (Not Remote)
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Job Location:
Durban - South Africa
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Introduction
Junior Data Scientist
Location: Office-Based
About the Role
In this role youll support the development of new Business Intelligence offerings monitor existing solutions and provide insights that help our clients make smarter data-driven decisions.
Youll work closely with stakeholders across operations workforce planning and customer experience turning business challenges into actionable data solutions that drive measurable results.
Duties & Responsibilities
What Youll Do
Data Analysis & Modeling
- Extract clean and analyze large datasets to uncover trends patterns and opportunities for improvement.
- Build and support simple predictive models (e.g. linear/logistic regression decision trees).
- Assist in data preprocessing and visualization to ensure actionable insights are clear and meaningful.
- Evaluate models using metrics such as accuracy precision recall F1-score and RMSE.
Strategic Recommendations
- Collaborate with stakeholders to understand business objectives and translate them into data problems.
- Deliver actionable insights that influence operational decisions and optimize contact center performance.
- Continuously refine strategies based on analytics and measurable outcomes.
Data Management & Reporting
- Define key metrics and reporting requirements with business stakeholders.
- Develop interactive dashboards and visual reports using tools like Power BI to track KPIs.
Technology Exploration & Innovation
- Stay updated on emerging tools and technologies in analytics.
- Identify opportunities to enhance reporting data management and operational performance.
Cross-Functional Collaboration
- Work closely with IT operations and other teams to meet data needs and support projects.
Provide insights that inform business decisions and cross-departmental initiatives
Desired Experience & Qualification
What Were Looking For
Qualifications:
- Relevant IT Degree or Diploma in Data Science Computer Science or related field.
- Proficiency in Python (pandas scikit-learn statsmodels) and SQL.
- Experience with Power BI and Excel for reporting and data visualization.
- Solid understanding of core statistical concepts.
- Strong analytical problem-solving and communication skills.
Key Attributes:
- Proactive and innovative thinker.
- Detail-oriented with excellent organizational skills.
- Passionate about leveraging data to drive impactful business outcomes.
- Eager to explore and implement new technologies.
- Results-driven with a focus on continuous improvement.
Collaborative and adaptable within dynamic team environments.
Interested
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
