About the position
We are seeking a highly motivated and academically strong Data Scientist – Level 1 to join a team of talented data professionals solving complex business challenges through data, analytics, and machine learning.
This opportunity is ideal for recent graduates or early-career professionals who have a strong foundation in mathematics, statistics, computer science, engineering, or a related STEM field and are eager to apply their knowledge to real-world problems.
We are specifically looking for high-performing graduates who have achieved excellent academic results from reputable universities and institutions.
What You'll Do
As a Data Scientist – Level 1, you will work alongside experienced data scientists and engineers while developing your technical and problem-solving capabilities.
Your responsibilities will include:
- Performing exploratory data analysis (EDA) to identify patterns, trends, and insights
- Assisting in the design, development, and evaluation of machine learning models
- Cleaning, preparing, and transforming data for analysis and modelling
- Developing analytical solutions to solve business problems
- Writing clean, maintainable, and well-documented Python code
- Conducting statistical analysis and interpreting results
- Presenting findings and recommendations clearly to technical and non-technical stakeholders
- Collaborating with cross-functional teams on data-driven initiatives
- Continuously learning and applying new techniques, tools, and methodologies
Requirements - Bachelor's Degree (BSc, BEng, BCom Honours, BSc Honours, MSc or equivalent) in: Data Science, Computer Science, Statistics, Mathematics, Engineering, Actuarial Science, Physics Or another quantitative STEM discipline
- Excellent academic record throughout university studies
- Degree obtained from a recognised and reputable university or higher education institution
- Strong results in mathematics, statistics, machine learning, programming, or related quantitative subjects
- Solid understanding of data science and machine learning fundamentals
- Proficiency in Python
- Experience with libraries such as: Pandas, NumPy, Scikit-learn
Advantageous Skills
- Exposure to machine learning projects through academic work, internships, personal projects, or competitions
- Experience with SQL and relational databases
- Familiarity with cloud platforms such as AWS, Azure, or GCP
- Exposure to TensorFlow, PyTorch, or other machine learning frameworks
- Knowledge of data visualisation tools such as Power BI, Tableau, or similar
- Participation in Kaggle competitions, research projects, or published academic work
Desired Skills:
- machine learning
- databases
- cloud platforms
- analytical
Desired Qualification Level:
About The Employer:
