Senior AI/ML Scientist - Predictive Analytics

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Performance bonuses

Generous paid time off

Remote work flexibility

Job summary

Placements24 is seeking a Senior AI/ML Scientist in Predictive Analytics to join a data science consultancy. This fully remote role collaborates with the Benoni hub, delivering sophisticated predictive models for diverse clients across industries.

The ideal candidate has a strong quantitative background, 5+ years of experience in predictive modeling, and expertise in ML, statistics, and data mining. Remote work flexibility is offered with occasional alignment visits to Benoni, Gauteng.

Qualifications

• Master's or Ph.D. in a quantitative field.
• Minimum 5 years developing and deploying predictive models.
• Proven expertise in ML algorithms: regression, classification, time series, clustering, deep learning.
• Proficient in Python and/or R with relevant libraries.

Responsibilities

• Design, develop and implement advanced predictive models.
• Analyze large datasets to identify patterns and insights.
• Build and deploy ML pipelines for forecasting, classification and regression.
• Collaborate with clients and stakeholders to translate problems into analytics.
• Evaluate algorithms and tools for predictive projects.
• Validate model performance for accuracy and reliability.
• Communicate findings to technical and non-technical audiences.
• Stay updated with ML research and predictive analytics.
• Mentor junior data scientists and contribute to knowledge base.

Skills

5+ years experience

Analytical thinking

Communication skills

Independent work

Education

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

Tools

Python

R

Scikit-learn

TensorFlow

PyTorch

SQL

Pandas

Spark/Hadoop

Job description

About the Role

Our client, a leading data science consultancy, is seeking a Senior AI/ML Scientist specializing in Predictive Analytics to join their expanding team. This role will be fully remote, allowing you to contribute from anywhere, while collaborating closely with their hub in Benoni, Gauteng . You will be responsible for developing sophisticated predictive models to solve complex business challenges for a wide range of clients across various industries. This includes leveraging machine learning, statistical modeling, and data mining techniques to forecast trends, identify risks, and uncover opportunities. The ideal candidate possesses a strong quantitative background, extensive experience in building and deploying predictive models, and a passion for deriving actionable insights from data. This is an excellent opportunity to work with diverse datasets and cutting-edge technologies in a remote capacity.

Key Responsibilities

• Design, develop, and implement advanced predictive models using machine learning and statistical techniques.
• Analyze large, complex datasets to identify patterns, trends, and actionable insights.
• Build and deploy machine learning pipelines for forecasting, classification, and regression tasks.
• Collaborate with clients and internal stakeholders to understand business problems and translate them into analytical solutions.
• Evaluate and select appropriate algorithms and tools for predictive modeling projects.
• Validate and test model performance, ensuring accuracy and reliability.
• Communicate findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Stay up-to-date with the latest research and advancements in machine learning and predictive analytics.
• Mentor junior data scientists and contribute to the team's knowledge base.

Requirements

• Master's degree or Ph.D. in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 5 years of experience in developing and deploying predictive models in a professional setting.
• Proven expertise in machine learning algorithms such as regression, classification, time series analysis, clustering, and deep learning.
• Strong proficiency in Python and/or R, and relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Statsmodels).
• Experience with data manipulation and querying tools (e.g., SQL, Pandas).
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex models to diverse audiences.
• Ability to work independently and as part of a remote team.

Benefits

• Our client offers a highly competitive salary, with an annual compensation of R , and significant opportunities for remote work flexibility.
• Benefits include comprehensive health coverage, a retirement savings plan, performance bonuses, and generous paid time off.
• You will have access to continuous learning resources, professional development opportunities, and the chance to work on a variety of impactful projects.
• This remote position allows you to contribute your expertise to our client's success while maintaining a healthy work-life balance, connecting with the team in Benoni, Gauteng as needed for strategic alignment.