Graduate/Junior Data Scientist

Recruiter:

Network Recruitment

Job Ref:

ITE007587/Nto

Date posted:

Monday, April 13, 2026

Location:

Centurion, South Africa

SUMMARY:
Kickstart your career in data science within the financial services space. If you're passionate about machine learning, analytics, and solving real-world problems this is your opportunity to make an impact from day one.

POSITION INFO:
Join a leading financial analytics firm based in Johannesburg that leverages data to drive smarter business decisions and innovation. This graduate/junior Data Scientist role is designed for an ambitious individual eager to apply technical skills in a real-world financial environment.

What’s in it for you? A strong foundation in financial data science, exposure to cutting-edge tools, and the opportunity to grow your career in a forward-thinking, data-driven environment.

Key Responsibilities:

Collect, clean, and prepare structured and unstructured financial data for analysis and reporting
Support the development and improvement of machine learning models, including anomaly detection
Assist with feature engineering, model evaluation, and documentation of outputs
Develop reports and dashboards using Power BI to communicate insights
Collaborate with cross-functional teams to deliver data-driven solutions
Contribute to automation, reconciliation, and alerting tools to improve operational efficiency
Identify opportunities for process improvements and stay updated on industry trends

Job Experience and Skills Required:
Education:

Bachelor’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field
Postgraduate qualification or relevant certification is advantageous

Experience:

0–2 years’ experience in data science or data analysis (preferably within finance)

Technical Skills:

Proficiency in Python (pandas, matplotlib, scikit-learn)
Familiarity with Power BI, Excel, and reporting tools
Basic SQL skills
Understanding of data pipelines, Git, and cloud environments is advantageous
Exposure to financial datasets or platforms is beneficial

Skills & Competencies:

Strong analytical thinking and attention to detail
Ability to interpret and present complex data clearly
Strong verbal and written communication skills
Good organisational and time management abilities
Ability to work both independently and in a team
High level of integrity and professionalism

Apply now!

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