Job Description

This is an excellent opportunity for a Data Scientist to join a world-leading iGaming company and take ownership of productionised data science products that directly enhance the gaming experience. By leveraging advanced statistical modelling, machine learning, and business metrics optimization, you’ll drive impactful solutions.

Based in CAPE TOWN (in-office) this DATA SCIENTIST role offers a salary of R850K – R880K.

THE COMPANY:

This leading iGaming platform and online casino product development company is known for its innovative backend gaming engines and extensive global reach. Headquartered internationally with offices across the US, Europe, and South Africa, they are the largest provider of online casino games, powering approximately 3,500 platforms. Focused on creating world-class slots and unique content, they collaborate with top media partners to transform popular entertainment titles into engaging casino games, delivering exceptional gaming experiences to players worldwide.

THE ROLE:

As the Data Scientist, you will be working within a fast-paced environment, handling large datasets from diverse gaming platforms alongside a team of six experienced data scientists in the central business intelligence department. This role offers the chance to expand your skills in machine learning, AI, advanced statistical modelling, and data visualization using Python.

You will take ownership of key data science solutions, applying innovative analytical approaches that drive business metrics. Collaborate with a talented team, engage in creative problem-solving, and make impactful contributions to enhance the gaming experience for players worldwide.

REQUIRED SKILLS AND QUALIFICATIONS:

Minimum 2 years of experience as a data scientist, data analyst, or similar role.

Undergraduate degree in a quantitative field (e.g., Mathematics, Statistics, Data Science, or Engineering).

Certification in Probability Theory and Statistical Fundamentals is a plus.

Proficient in Python and relevant frameworks; strong understanding of statistics, statistical modelling, and machine learning.

Experience with data visualization tools (e.g., Power BI, Tableau) and SQL (SSMS/Snowflake).

Familiarity with data governance practices and version control (GitLab/GitHub).

Strong numerical and problem-solving skills with a solid grasp of data structures and query optimization.