Senior AI Data Scientist - Predictive Analytics

Placements24; Mbombela (Nelspruit); On-site; ZAR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Competitive salary

Medical aid and retirement benefits

Career development opportunities

Job summary

Placements24 invites a Senior AI Data Scientist specializing in Predictive Analytics to join its analytics team in Nelspruit, Mpumalanga. The role focuses on designing and deploying advanced predictive models that guide business decisions and uncover insights from complex datasets.

You will leverage Python/R, ML frameworks, and cloud data platforms to forecast trends, identify opportunities, and mitigate risks across functions.

Qualifications

• Master's degree or PhD in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• 5+ years of professional experience in data science with a strong focus on predictive modeling and analytics.
• Proficiency in Python or R and data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Expertise in statistical modeling, regression, time series forecasting, and ML algorithms.

Responsibilities

• Design, develop, and implement advanced predictive models using statistical and ML techniques.
• Analyze large datasets to identify trends, patterns, and actionable insights for stakeholders.
• Build and maintain data pipelines for model training and evaluation.
• Validate and test model performance for accuracy, robustness, and reliability.
• Deploy models into production and monitor their ongoing performance.
• Collaborate with business units to translate analytical needs into data science projects.
• Communicate complex findings clearly to technical and non-technical audiences.
• Stay current with AI, ML, and predictive modeling advancements.
• Mentor junior data scientists and contribute to the team's growth.
• Contribute to the company’s data science strategy and best practices.

Skills

Statistical modeling

Machine learning

Data analysis

SQL

Communication

Education

Master's or PhD in Statistics/Mathematics/CS/Data Science

Tools

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Job description

About the Role

Our client, a leader in data-driven decision-making and advanced analytics, is seeking a highly skilled Senior AI Data Scientist specializing in Predictive Analytics to join their sophisticated team in Nelspruit, Mpumalanga . This role is critical for developing and deploying sophisticated predictive models that drive business strategy and uncover actionable insights from complex datasets. You will leverage cutting-edge AI and machine learning techniques to forecast trends, identify opportunities, and mitigate risks across various business functions. The ideal candidate possesses a strong quantitative background, deep expertise in statistical modeling and machine learning algorithms, and a proven ability to translate data into impactful business solutions. Join a collaborative environment where your analytical prowess will directly influence business outcomes and innovation.

Key Responsibilities

• Design, develop, and implement advanced predictive models using statistical and machine learning techniques.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights for business stakeholders.
• Build and maintain data pipelines for model training and evaluation.
• Validate and test model performance, ensuring accuracy, robustness, and reliability.
• Deploy predictive models into production environments and monitor their ongoing performance.
• Collaborate with business units to understand their analytical needs and translate them into data science projects.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
• Stay current with the latest advancements in AI, machine learning, and predictive modeling techniques.
• Mentor junior data scientists and contribute to the team's technical growth.
• Contribute to the development of the company's data science strategy and best practices.

Requirements

• Master's degree or PhD in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• 5+ years of professional experience in data science, with a strong focus on predictive modeling and analytics.
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Expertise in statistical modeling, regression analysis, time series forecasting, and machine learning algorithms (e.g., decision trees, random forests, gradient boosting, neural networks).
• Experience with data visualization tools and techniques.
• Strong SQL skills and experience working with large datasets.
• Experience with cloud platforms (AWS, Azure, GCP) and their data science services is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and as part of a collaborative team.

Benefits

• Our client offers a competitive salary, comprehensive medical aid and retirement benefits, and generous paid time off.
• You will work in a dynamic environment with opportunities for professional growth and development.
• Access to advanced analytics tools and challenging projects awaits.
• The company culture emphasizes innovation, collaboration, and continuous learning.
• Performance bonuses and potential for career advancement are part of the package.
• This role provides a significant opportunity to apply advanced AI techniques to solve critical business challenges.