AI Data Scientist - Predictive Analytics

Placements24; East London; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Professional development

Flexible hybrid work

Paid time off

Access to analytics tools

Job summary

WhatJobs Direct in East London, Eastern Cape seeks an AI Data Scientist with a specialization in Predictive Analytics to build models forecasting trends, identifying opportunities, and mitigating risks across business domains.

You will work with large datasets, apply advanced statistics and machine learning, and collaborate with stakeholders to deliver actionable predictive solutions in a hybrid work environment.

Qualifications

• Master's or Ph.D. in Statistics, Data Science, CS, Mathematics, or related field.
• 4+ years as a Data Scientist with predictive modeling focus.
• Proficiency in Python or R and libraries like scikit-learn, pandas, numpy.
• Experience with ML algorithms (regression, classification, time-series, ensembles).
• Familiarity with data visualization and SQL; strong analytical and communication skills.

Responsibilities

• Develop, validate, and deploy predictive models using ML and statistics.
• Clean and prepare large datasets for analysis and modeling.
• Identify key features influencing outcomes.
• Collaborate with stakeholders to translate business problems into data science projects.
• Communicate findings clearly to technical and non-technical audiences.
• Evaluate model performance and iterate for improvement.
• Stay updated on advances in data science and predictive analytics.
• Contribute to data infrastructure and best practices; ensure data privacy.

Skills

Analytical thinking

Problem-solving

Communication skills

Education

Master's or Ph.D. in a quantitative field

Tools

Python

R

scikit-learn

pandas

numpy

SQL

Job description

About the Role

Our client, WhatJobs Direct, is seeking a skilled and analytical AI Data Scientist with a specialization in Predictive Analytics to join their innovative team in East London, Eastern Cape . This role is pivotal in leveraging data to build sophisticated models that forecast future trends, identify opportunities, and mitigate risks across various business domains. You will work with large datasets, applying advanced statistical and machine learning techniques to extract valuable insights and drive data-informed decisions. This position follows a Hybrid work model, allowing for both productive in-office collaboration and flexible remote work. We are looking for individuals with a strong quantitative background, excellent programming skills, and a passion for solving complex problems through data. The work in East London involves close collaboration with business stakeholders to understand their challenges and deliver actionable predictive solutions. You will be an integral part of a team dedicated to harnessing the power of AI to create significant business value and competitive advantage. This role offers the chance to work on impactful projects that directly influence strategic decision-making.

Key Responsibilities

• Develop, validate, and deploy predictive models using machine learning and statistical techniques.
• Clean, transform, and prepare large datasets for analysis and modeling.
• Identify key features and variables that influence predictive outcomes.
• Collaborate with stakeholders to define business problems and translate them into data science projects.
• Communicate complex findings and model results clearly to both technical and non-technical audiences.
• Evaluate model performance and iterate to improve accuracy and robustness.
• Stay updated on the latest advancements in data science, machine learning, and predictive analytics.
• Contribute to the development of data infrastructure and best practices within the team.
• Ensure ethical considerations and data privacy are addressed in predictive modeling.

Requirements

• Master's degree or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Proven experience (4+ years) as a Data Scientist with a focus on predictive modeling.
• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, pandas, numpy).
• Experience with various machine learning algorithms (e.g., regression, classification, time series analysis, ensemble methods).
• Familiarity with data visualization tools and techniques.
• Experience with SQL and working with large databases.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work effectively in a Hybrid team environment.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and further education.
• Flexible Hybrid work arrangement.
• Generous paid time off and holiday schedule.
• Engaging projects with significant business impact in East London .
• Collaborative and supportive team culture.
• Retirement savings plan.
• Access to advanced analytics tools and platforms.