Data Scientist

Description:

Let us take the next step in exploring possible Data Analyst opportunities. Job & Company Description

An industry requiring specialist skills, deserves specialist recruitment.

I am a Specialist Risk Analytics & Data Recruiter working with very prestigious corporate concerns in Gauteng. Assisting you in exploring new commercial opportunities within the market is my main priority.

This will allow me to enhance your current skills within the FMCG, Manufacturing and Logistics industries, just to mention a few.

Responsibilities

• Work across the full data science lifecycle: from problem definition to model deployment.
• Develop and implement predictive and prescriptive analytics solutions.
• Use data to inform strategic decisions and enhance healthcare initiatives.
• Collaborate within an agile development team, continuously improving models and solutions.

Qualifications and Skills

• Degree in Actuarial Science, Statistics, Computer Science, Engineering, Mathematics, or a related field.
• Professional certifications in data science technologies (e.g., Python, AWS, Spark, Machine Learning).
• At least 5 years of hands-on experience in data science.
• Proficiency in Python (NumPy, Pandas, Matplotlib, SciPy) and strong SQL skills.
• Experience working with large datasets and applying machine learning techniques.
• Experience with agile development methodologies.
• Ability to operationalize data models and data-driven solutions

If you are interested in this opportunity, please apply directly. For more finance 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:
momolefe@networkfinance.com
Specialist Recruitment Consultant

Requirements:

• Work across the full data science lifecycle: from problem definition to model deployment.
• Develop and implement predictive and prescriptive analytics solutions.
• Use data to inform strategic decisions and enhance healthcare initiatives.
• Collaborate within an agile development team, continuously improving models and solutions.

• Degree in Actuarial Science, Statistics, Computer Science, Engineering, Mathematics, or a related field.
• Professional certifications in data science technologies (e.g., Python, AWS, Spark, Machine Learning).
• At least 5 years of hands-on experience in data science.
• Proficiency in Python (NumPy, Pandas, Matplotlib, SciPy) and strong SQL skills.
• Experience working with large datasets and applying machine learning techniques.
• Experience with agile development methodologies.
• Ability to operationalize data models and data-driven solutions