Senior Data Scientist
Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 2, 2026.
Senior Data Scientist
Location: Bedfordview, Johannesburg (Hybrid) | Department: Data & Analytics
Are you ready to lead high-impact data science initiatives that solve real-world problems? Were looking for a Senior Data Scientist to design and deploy advanced machine learning models, unlock business insights from complex datasets, and drive data-led decision making across the organization.
This is a strategic role for a hands-on expert who thrives on both technical depth and cross-functional collaboration.
What You'll Be Doing:
Build and deploy machine learning models for predictive analytics, NLP, and time-series forecasting.
Conduct exploratory data analysis (EDA), A/B testing, and model validation to uncover insights and optimize performance.
Collaborate with product, technology, and strategy teams to embed intelligent solutions into key business processes.
Lead analytics projects from design to execution, ensuring alignment with business goals and measurable outcomes.
Optimize cloud-based analytics costs and improve the efficiency of big data workflows and pipelines.
What You Bring:
5+ years of experience in data science and machine learning with a proven track record of delivery.
Expertise in Python or R, SQL, and data visualization tools such as Tableau or Power BI.
Experience with big data tools and cloud platforms (e.g. BigQuery, Spark, AWS, GCP, or Azure).
Solid understanding of statistical modeling, experimental design, and data integrity principles.
Strong communication skills with the ability to translate technical findings into actionable insights.
A Bachelors or higher degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
Why Join Us?
Work on impactful projects that directly influence business performance and customer experience.
Collaborate with a high-calibre team in a culture that values innovation, autonomy, and continuous learning.
Lead the charge in scaling data science capabilities and shaping the future of data-driven growth.