AI Data Scientist

Placements24; Southampton; Hybrid; GBP 41,000 - 59,000; Full time

Job summary

Placements24 in Randburg, Gauteng is seeking an AI Data Scientist to uncover patterns in complex datasets, build predictive models, and deliver actionable insights that guide business decisions.

The role collaborates with engineers and product managers to apply machine learning techniques, evaluate models, and deploy data science solutions in production, with a culture of continuous learning and innovation.

Qualifications

• Master's or PhD in Data Science, Statistics, CS, Math or related field.
• 2–4 years of professional data science or analytical experience.
• Proficiency in Python or R and data science libraries (pandas, NumPy, scikit-learn).
• Strong ML algorithms and statistical modeling knowledge.
• Experience with SQL and relational databases.
• Big data tech (Spark) and cloud platforms (AWS/Azure/GCP) a plus.
• Excellent analytical, problem-solving and communication skills.

Responsibilities

• Analyze large, complex datasets to identify trends and insights.
• Develop, train, and evaluate ML models for prediction/classification/clustering.
• Deploy data science solutions into production environments.
• Collaborate with stakeholders to define data science projects.
• Communicate complex findings clearly to technical and non-technical audiences.
• Design experiments to test hypotheses and validate model performance.
• Contribute to data pipelines and data quality initiatives.
• Stay updated on latest data science and AI advancements.

Skills

Python

R

pandas

NumPy

scikit-learn

SQL

Spark

Cloud platforms

Machine Learning

Communication

Education

Master's or Ph.D. in Data Science/Statistics/CS/Math

Tools

Jupyter

Job description

About the Role

Our client, a fast-paced technology firm specializing in AI-driven insights, is seeking a talented AI Data Scientist to join their team in Randburg, Gauteng . This role is integral to discovering hidden patterns in complex datasets, developing predictive models, and delivering actionable insights that drive business decisions. You will collaborate with cross-functional teams, including engineers and product managers, to leverage machine learning and statistical techniques to solve challenging problems. The ideal candidate possesses strong analytical skills, a deep understanding of data science methodologies, and proficiency in programming languages and ML tools. This is an exciting opportunity to work on impactful projects at the intersection of data, AI, and business strategy. We foster a culture of continuous learning and innovation.

Key Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and insights.
• Develop, train, and evaluate machine learning models for prediction, classification, and clustering.
• Implement and deploy data science solutions into production environments.
• Collaborate with stakeholders to understand business requirements and define data science projects.
• Communicate complex findings and model results clearly and concisely to both technical and non-technical audiences.
• Design and conduct experiments to test hypotheses and validate model performance.
• Contribute to the development of data pipelines and data quality initiatives.
• Stay abreast of the latest advancements in data science and artificial intelligence.

Requirements

• Master's or Ph.D. degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• 2-4 years of professional experience in data science or a related analytical role.
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., pandas, NumPy, scikit-learn).
• Strong understanding of machine learning algorithms and statistical modeling techniques.
• Experience with SQL and working with relational databases.
• Familiarity with big data technologies (e.g., Spark) and cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities.

Benefits

Our client offers a competitive salary, comprehensive health and wellness benefits, performance bonuses, and opportunities for professional development. We encourage a culture of innovation and provide access to cutting-edge tools and datasets. This hybrid role offers flexibility, combining in-office collaboration in Randburg, Gauteng with remote work options. Join our client and apply your data science expertise to solve real-world challenges and drive intelligent solutions.