Tuesday, 29th September 2026, Job by FirstRand, GreenTodays :
Job Summary
- Published on: Tuesday, 29th September 2026
- Designation: Data Scientist
- industry: Retail
- Vacancy: 1
- Employment Status: Full-time
- Job Location: Bloemfontein
- Salary: 0
- Gender:
- Application Deadline: Tuesday, 29th September 2026
Job Description
Job Description To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.Hello Future Data Scientist Job Profile Summary Are you fascinated by understanding why consumers behave the way they do? We are looking for a Data Scientist who is passionate about solving real business challenges through data, consumer research and behavioural analytics. In this role, you will work alongside leading South African corporates to uncover hidden consumer trends, identify growth opportunities and translate complex data into meaningful commercial insights.You will combine advanced analytics with consumer understanding to answer critical business questions: Why are customers changing their behaviour? What drives loyalty and spend? Which consumer segments represent the greatest opportunity? How can businesses make better decisions based on evidence rather than assumptions?Translate complex business challenges into analytical and consumer research questionsUncover hidden behavioural patterns, motivations and trends within large consumer datasetsCombine data science techniques with commercial thinking to generate actionable insightsDevelop analytical models that help clients understand consumer behaviour and market dynamicsTransform data into compelling stories that supports strategic decision-makingEngage with clients and stakeholders to deeply understand their business challengesExplore new data sources, research methodologies and analytical techniques to answer difficult questionsPresent findings clearly and confidently to both technical and non-technical audiences
Responsibilities + Skills
Education
A degree in Data Science, Statistics, Mathematics, Economics, Actuarial Science, Engineering or a related quantitative field2 to 5 years of experience in analytics, data science, consumer insights or market researchExperience working with large and complex datasetsExperience using SAS, SQL, Python, R or similar analytical toolsExperience using Power BI or similar dashboarding and visualisation toolsStrong analytical and problem-solving skillsAn interest in consumer behaviour, behavioural economics and market dynamics
Experience