Junior Data Scientist at Discovery – Apply Now!

Full-time

Discovery Limited

Are you passionate about data, machine learning, and making a real-world impact in healthcare? Discovery Health is looking for a Junior Data Scientist to join its dynamic Fraud Intelligence team. This is your opportunity to help combat fraud, waste, and abuse in healthcare using cutting-edge AI and big data technologies — all while building your skills in a world-class, data-driven environment.

At Discovery, we don’t just offer jobs — we create careers that make a difference. Our purpose is simple yet powerful: to make people healthier and to enhance and protect their lives. If this resonates with you, read on.


🌟 About the Role

In this role, you’ll be at the intersection of data science, fraud detection, and healthcare innovation. You will use large structured and unstructured datasets to develop models and extract insights that drive fraud investigations and improve fraud recovery.

You’ll work closely with cross-functional teams — from forensic experts to risk analysts — using the latest AI and machine learning algorithms to create practical, scalable solutions. The work you do will directly impact efficiency and recovery rates for Discovery Health and its client schemes.


📌 Key Responsibilities

Your daily work will involve:

  • Connecting with stakeholders to understand data in healthcare and fraud contexts

  • Mining large datasets to uncover hidden insights and patterns

  • Applying advanced ML algorithms and AI techniques for fraud detection

  • Presenting findings in clear, actionable formats to technical and business users

  • Monitoring and enhancing model performance

  • Recommending and implementing improvements to processes and databases


🧠 Must-Have Skills & Competencies

Technical Skills:

  • Proficient in Python, R, or Scala for data science tasks

  • Solid command of SQL for data extraction and manipulation

  • Comfortable with interactive data exploration and storytelling

  • Understanding of Big Data principles and distributed computing

  • Experience using version control systems (e.g., Git)

Analytical & Soft Skills:

  • Strong foundation in statistics and machine learning techniques

  • Curiosity to uncover unknown correlations and data patterns

  • Strong verbal, written, and visual communication of data insights

  • Adaptability to emerging technologies and analytical tools

  • Passion for solving complex, real-world problems with data

  • Proactive, self-starting attitude with the ability to work independently or in a team

  • Resilient, detail-oriented, and eager to learn and grow rapidly


🎓 Education & Experience Requirements

  • Honours or Master’s Degree in:

    • Computer Science (with experience in data mining, ML, and statistical modeling)

    • OR Data Science, Applied Mathematics, or Statistics (with exposure to big data and software engineering)

  • At least 1 year of work experience in a data science role


🤝 Why Join Discovery?

Discovery is not just a workplace — it’s a space where innovation, purpose, and personal growth intersect. You’ll be working with some of the best minds in healthcare and tech, tackling challenges that have tangible impacts on millions of lives. Plus, you’ll gain access to world-class training, a collaborative culture, and the tools you need to thrive in a fast-evolving field.


🔗 Find similar jobs at:
https://careerjunctionza.co.za/jobs/


✨ CV Tips for a Junior Data Scientist Role:

  1. Highlight Projects: Include personal, academic, or internship-based projects with clear outcomes and tools used.

  2. Show Technical Stack: List all relevant tools (Python, SQL, Git, etc.) and libraries (Pandas, Scikit-learn, TensorFlow).

  3. Quantify Achievements: Use metrics to showcase impact (e.g., “Improved fraud detection accuracy by 15%”).

  4. Include Certifications: Mention any online courses or certifications (e.g., Coursera, edX, IBM Data Science).

  5. Demonstrate Business Understanding: Mention any exposure to fraud detection, healthcare data, or domain-specific knowledge.

  6. Tailor the CV: Match your CV content with keywords from the job post such as “machine learning,” “fraud detection,” and “AI techniques.”

  7. Soft Skills Matter: Don’t forget to add your teamwork, communication, and problem-solving capabilities.


🔗 Company Website:
https://www.discovery.co.za

To apply for this job please visit careers.discovery.co.za.