Detail Information
Job Summary
Position for Data Scientist
Job Description
As a Data Scientist with us, you'll play a pivotal role in leveraging advanced analytics and machine learning techniques to extract actionable insights from vast amounts of data. Your responsibilities will include:
Collaborating with cross-functional teams to identify business challenges and develop data-driven solutions.
Designing and implementing predictive models to optimize customer segmentation, credit risk assessment, and fraud detection.
Utilizing big data technologies and cloud platforms to analyze and process complex datasets efficiently.
Conducting exploratory data analysis and feature engineering to uncover hidden patterns and trends.
Communicating findings and recommendations to stakeholders through compelling data visualizations and presentations.
To thrive in this role, you'll need:
Strong proficiency in programming languages such as Python or R, along with experience using data manipulation and visualization libraries.
A solid foundation in statistical analysis and machine learning algorithms, with hands-on experience applying them to real-world problems.
Expertise in SQL and relational databases for data extraction and manipulation.
Excellent problem-solving skills and the ability to translate business requirements into analytical solutions.
A passion for continuous learning and staying abreast of emerging trends and technologies in data science.
Apply now!
For more Actuarial and Analytics jobs, please visit www.networkrecruitment.co.za
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information contact:
Adon Abrahams
Senior Specialist Consultant: Actuarial & Analytics
***email***
Important
The Job Mail App will be discontinued in Jan 2024. We're moving exclusively to our web platform.
Visit www.jobmail.co.za
Collaborating with cross-functional teams to identify business challenges and develop data-driven solutions.
Designing and implementing predictive models to optimize customer segmentation, credit risk assessment, and fraud detection.
Utilizing big data technologies and cloud platforms to analyze and process complex datasets efficiently.
Conducting exploratory data analysis and feature engineering to uncover hidden patterns and trends.
Communicating findings and recommendations to stakeholders through compelling data visualizations and presentations.
To thrive in this role, you'll need:
Strong proficiency in programming languages such as Python or R, along with experience using data manipulation and visualization libraries.
A solid foundation in statistical analysis and machine learning algorithms, with hands-on experience applying them to real-world problems.
Expertise in SQL and relational databases for data extraction and manipulation.
Excellent problem-solving skills and the ability to translate business requirements into analytical solutions.
A passion for continuous learning and staying abreast of emerging trends and technologies in data science.
Apply now!
For more Actuarial and Analytics jobs, please visit www.networkrecruitment.co.za
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information contact:
Adon Abrahams
Senior Specialist Consultant: Actuarial & Analytics
***email***
Important
The Job Mail App will be discontinued in Jan 2024. We're moving exclusively to our web platform.
Visit www.jobmail.co.za
Key Skills / Requirements
Please refer to description