Data Scientist

Description:

Looking for a career where innovation meets compassion? Join a team that’s shaping the future of healthcare with cutting-edge technology and a commitment to excellence. We’re searching for driven, passionate individuals ready to make a real difference. If you’re ready to thrive in a dynamic, professional environment where your skills are valued, your growth is supported, and your work matters—this is your opportunity! Apply today and be part of something extraordinary.

• In this role, you will collaborate closely with the Data Science and Analytics team to provide data-driven insights that influence key business areas. You will apply advanced analytical techniques to solve complex healthcare challenges, refine processes, and develop predictive and prescriptive analytics solutions. Your work will span the entire data science lifecycle, from understanding business needs and defining problems to data preprocessing, model development, and deployment.
  
  

Key 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.

Requirements:

• 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 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:

• In this role, you will collaborate closely with the Data Science and Analytics team to provide data-driven insights that influence key business areas. You will apply advanced analytical techniques to solve complex healthcare challenges, refine processes, and develop predictive and prescriptive analytics solutions. Your work will span the entire data science lifecycle, from understanding business needs and defining problems to data preprocessing, model development, and deployment.
  
  

Key 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.

Requirements:

• 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 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

• 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.