Data Scientist - AI & Machine Learning

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Medical aid

Retirement fund

Training & conferences

Hybrid work model

Generous annual leave

Job summary

Placements24 partners with a forward-thinking financial services group to hire a Data Scientist in Mahikeng, North West. The role supports AI and machine learning initiatives, building models, data pipelines, and data-driven products in a hybrid work model balancing remote and in-office collaboration.

You will work with business stakeholders and engineering teams to translate complex data into actionable insights, ensure ethical data use, and stay up-to-date with the latest AI advancements while

Qualifications

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or related quantitative field.
• Proven experience as a Data Scientist with strong AI/ML understanding.
• Proficiency in Python or R and data science libraries (pandas, scikit-learn, TensorFlow/PyTorch).
• Strong SQL skills and experience with large databases.
• Knowledge of statistical modeling, hypothesis testing, and experimental design.

Responsibilities

• Develop, train, and deploy machine learning models for various business applications.
• Analyze large datasets to uncover insights and opportunities.
• Design and execute experiments to test hypotheses and measure model effectiveness.
• Build and maintain data pipelines for model development and deployment.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.
• Communicate findings and recommendations to technical and non-technical audiences.
• Stay current with the latest advancements in data science, AI, and ML.
• Ensure data and model quality, integrity, and ethical use.
• Contribute to the organization's data strategy and roadmap.

Skills

Python

R

SQL

Statistics

Machine Learning

Data Visualization

Education

Master's or Ph.D. in Statistics, Computer Science, Mathematics, or related quantitative field

Tools

TensorFlow

PyTorch

pandas

Job description

About the Role

Our client, a forward-thinking financial services group, is seeking a talented Data Scientist to enhance their AI and Machine Learning capabilities. This role is situated in Mahikeng, North West , and offers a flexible hybrid work model, allowing for a mix of remote work and in-office collaboration. You will leverage your expertise in statistical modeling and machine learning to develop innovative solutions that drive business growth and improve customer experiences. This is an exciting opportunity to apply AI to real-world challenges in the financial sector, working with complex datasets and advanced analytical techniques. You will collaborate closely with business stakeholders and engineering teams to deliver impactful data-driven insights and products. Your contributions will be vital in shaping our client's digital transformation journey.

Key Responsibilities

• Develop, train, and deploy machine learning models for various business applications.
• Analyze large, complex datasets to uncover insights and identify opportunities.
• Design and execute experiments to test hypotheses and measure model effectiveness.
• Build and maintain data pipelines for model development and deployment.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, AI, and machine learning.
• Ensure the quality, integrity, and ethical use of data and models.
• Contribute to the overall data strategy and roadmap of the organization.

Requirements

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong understanding of AI and ML principles.
• Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).
• Strong SQL skills and experience working with large databases.
• Knowledge of statistical modeling, hypothesis testing, and experimental design.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in a hybrid environment, balancing remote and in-office responsibilities.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive medical aid and retirement fund benefits.
• Professional development support, including training and conferences.
• Hybrid work model offering flexibility.
• Opportunity to work on impactful AI projects in the financial industry.
• Dynamic and collaborative work culture.
• Generous annual leave allowance.