AI Data Scientist - Predictive Modeling

Placements24; Sandton; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary package

Medical aid

Provident fund

Professional development opportunities

Job summary

Placements24 in Sandton, Gauteng seeks an AI Data Scientist to lead predictive modeling initiatives. You will work end-to-end from data exploration to model deployment, partnering with stakeholders to turn data into actionable business insights.

The role requires a master's or PhD and 3+ years experience, with Python (Pandas, NumPy, scikit-learn) and exposure to TensorFlow or PyTorch. You’ll influence decision making and help advance a data driven culture.

Qualifications

• Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Proven experience (3+ years) in developing and deploying predictive machine learning models.
• Strong proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with machine learning frameworks like TensorFlow or PyTorch is a plus.
• Solid understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience working with large datasets and databases (SQL, NoSQL).
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation abilities.
• Ability to work effectively in a team environment.

Responsibilities

• Develop and implement sophisticated predictive models using machine learning techniques (e.g., regression, classification, time series forecasting).
• Clean, preprocess, and transform large, complex datasets to prepare them for analysis and modeling.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
• Engineer relevant features to improve model performance and accuracy.
• Validate and test models rigorously to ensure robustness and generalizability.
• Deploy machine learning models into production environments and monitor their performance over time.
• Collaborate with business stakeholders to understand requirements and translate them into data science solutions.
• Communicate findings, insights, and model performance effectively to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and predictive analytics.

Skills

Python

Pandas

NumPy

Scikit-learn

Exploratory Data Analysis

Education

Master's or PhD in Statistics, Data Science, Computer Science, Mathematics

Tools

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a talented and analytical AI Data Scientist with a strong focus on predictive modeling to join their innovative team in Sandton, Gauteng . In this role, you will leverage vast datasets to build, validate, and deploy machine learning models that drive critical business decisions and enhance customer experiences. You will be involved in the entire data science lifecycle, from data exploration and feature engineering to model development, evaluation, and implementation. This position offers the opportunity to work with complex data challenges and contribute to significant business impact within a leading organization. The ideal candidate is a curious, data-driven individual with a passion for uncovering insights and building predictive solutions.

Key Responsibilities

• Develop and implement sophisticated predictive models using machine learning techniques (e.g., regression, classification, time series forecasting).
• Clean, preprocess, and transform large, complex datasets to prepare them for analysis and modeling.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
• Engineer relevant features to improve model performance and accuracy.
• Validate and test models rigorously to ensure robustness and generalizability.
• Deploy machine learning models into production environments and monitor their performance over time.
• Collaborate with business stakeholders to understand requirements and translate them into data science solutions.
• Communicate findings, insights, and model performance effectively to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and predictive analytics.

Requirements

• Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Proven experience (3+ years) in developing and deploying predictive machine learning models.
• Strong proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with machine learning frameworks like TensorFlow or PyTorch is a plus.
• Solid understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience working with large datasets and databases (SQL, NoSQL).
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation abilities.
• Ability to work effectively in a team environment.

Benefits

• Our client offers a competitive salary package, including performance bonuses, comprehensive medical aid, and a provident fund.
• We provide excellent opportunities for professional development through training programs, workshops, and conference attendance.
• Join our dynamic team in Sandton, Gauteng , and work on challenging projects that leverage data to drive significant business value.
• We foster a collaborative work culture that encourages innovation and continuous learning.
• Additional benefits include access to advanced analytics tools and resources, and potential for career advancement within a leading financial services group.