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Graduates

2 weeks ago

Pretoria, Gauteng, South Africa Prime Africa Consult Full time R40 000 - R80 000 per year

About Prime Africa Consult

Prime Africa Consult is a specialist economic modeling consultancy, delivering cutting-edge environmental, resource, and development economics solutions for governments, multilateral organizations, and private clients. We integrate robust economic theory, advanced data analytics, and practical decision-support tools to address Africa's most pressing development challenges.

GRADUATE FINANCIAL MODELER

Role Summary

We are seeking a skilled financial modeler who can apply their financial and economic training to solving complex and important environmental problems. The successful candidate will work with a highly skilled team of economic and financial professionals and should be capable of executing tasks thoughtfully and meticulously.

Key Responsibilities would include:

  • Building out cash flow and financial statement models into dynamic MS Excel spreadsheets.
  • Running financial and economic models for different simulations and interpreting the results.
  • Conduct domain research appropriate to a particular problem being solved.
  • Analyzing financial and economic data to inform models and sense check results.
  • Applying the appropriate financial model to solve the problem.
  • Writing technical documents (reports/slide decks) to communicate financial and economic results.
  • Assist clients to make informed environmental and economic decisions.

Qualifications & Experience Required:

  • Bcom (Hons) Degree: Accounting / Financial Management / Quantitative Finance
  • Proficiency in the use of Microsoft Excel
  • Data analysis skills including data cleaning, formatting and analysis.
  • Statistical analysis using Microsoft Excel to support econometric and environmental modeling
  • Problem-solving abilities working with large datasets
  • Excellent communication skills for collaborating with multidisciplinary teams

Preferred / Highly Desirable:

  • Domain knowledge in finance and economics (coursework or professional experience)
  • Understanding of mathematical models and statistics
  • Familiar with financing principles and approaches for sustainable development
  • Understanding of economic modeling concepts to better support analytical workflows
  • Experience with environmental data and ecosystem services frameworks

GRADUATE SYSTEMS ECOLOGIST

Role Summary

We are seeking a motivated Systems Ecology Intern to join our team. This role offers an opportunity to gain hands-on experience in applying ecological and environmental economic concepts to real-world challenges. You will also be expected to use critical thinking to apply Environmental and Social Safeguards for projects and businesses, working alongside experienced practitioners in the delivery of these projects. Your role will include support research, data analysis, and project delivery in sustainability, ESG, biodiversity and climate finance, and the management of ecosystems.

Key Responsibilities would include:

  • Assist in data collection, collation, and analysis for environmental and ecological studies.
  • Support the development of ecological and financial models, including scenario testing.
  • Contribute to literature reviews and preparation of background material for reports and proposals, as well as report chapters/sections.
  • Participate in stakeholder engagement processes, including workshops and consultations.
  • Assist in drafting reports, presentations, and communication materials for clients and partners.

Qualifications and Experience Required:

  • B Degree with Honours: Ecology, Environmental Science, Environmental Economics, or related field such as Geospatial science (Master's degree advantageous).
  • Strong analytical and research skills; familiarity with ecological systems and/or economics is an advantage.
  • Good writing and communication skills, with attention to detail.
  • Ability to work both independently and as part of a team.
  • Computer literacy, including MS Office; MS Excel, and experience with to GIS, R, or other data tools.

GRADUATE R SYSTEMS DEVELOPER/ DATA PIPELINE

Role Summary

We are seeking a skilled R Systems Developer with exceptional R programming language and RStudio/Posit development environment to build, automate, and standardize our analytical infrastructure. The successful candidate will create reproducible data science pipelines that transform complex datasets into client-ready deliverables across diverse economic and environmental projects. While domain knowledge in economics or environmental science is advantageous, the non-negotiable requirement is strong technical skills in R programming, data engineering, and workflow automation to support our expert economists and analysts.

Key Responsibilities would include:

  • Building automated data pipelines using R programming language from raw data ingestion through analysis to final client deliverables
  • Developing in RStudio/Posit environment to standardize analytical workflows across projects using reusable R functions, packages, and templates
  • Designing R-based data processing systems to clean, validate, and integrate large, complex datasets from multiple sources
  • Creating interactive web applications using R Shiny framework for client-facing dashboards and tools
  • Building automated reporting systems using R Markdown to generate professional documents, visualizations, and presentations
  • Integrating geospatial data using R spatial packages (sf, terra) and connect with Google Earth Engine
  • Implementing reproducible research practices including Git version control, R package development, and documentation
  • Deploying R applications using Posit Connect, Shiny Server, or cloud-based R environments
  • Supporting economists and analysts with R programming infrastructure, training, and troubleshooting
  • Collaborating across disciplines to translate research requirements into robust R-based technical solutions

Qualifications & Experience Required:

  • B Degree: Computer Science/ Data Science/ Information Technology/Statistics, or related quantitative field (masters degree would be advantageous)
  • Proficiency in R programming language including:

o R coding for data manipulation using tidyverse packages (dplyr, ggplot2, tidyr)

o RStudio/Posit Workbench development environment

o R package development and management

o R Markdown for automated report generation

o Shiny framework for web application development

  • Data engineering skills including pipeline automation using R and workflow orchestration
  • Database integration using R packages (DBI, dbplyr) for SQL/PostgreSQL connections
  • Experience with reproducible research including Git version control and R project organization
  • Statistical analysis in R to support econometric and environmental modeling
  • Problem-solving abilities working with large datasets in R environment
  • Excellent communication skills for collaborating with multidisciplinary teams

Preferred / Highly Desirable:

  • Domain knowledge in economics, environmental science, or related fields (coursework or professional experience)
  • R spatial analysis expertise using packages like sf, terra, leaflet for geospatial workflows
  • R deployment experience including Posit Connect, Shiny Server, or cloud-based R environments
  • Advanced R programming including machine learning packages and production-level code
  • Understanding of economic modeling concepts to better support analytical workflows
  • Experience with environmental data and ecosystem services frameworks
  • API integration and web scraping using R packages