Data Scientist

Description:

Job Opportunity: Data ScientistMy client is looking for a Data Scientist to join their Chief Underwriting Office Team. This exciting opportunity is ideal for an individual passionate about driving the analytics and data science agenda within a dynamic organization. The primary objective of this role is to enhance the decision-making process through insights, analytics, machine learning, and AI, ultimately adding value to critical business functions such as Underwriting, Claims, Sales, and Product Design.
Key Responsibilities:

• Conduct statistical analysis, forecasting, predictive modeling, simulation, and optimization to uncover trends, opportunities, and threats.
• Evaluate the effectiveness of new data sources and gathering techniques.
• Improve data collection procedures to include relevant information for building analytical systems.
• Design and develop advanced quantitative analytics models to answer business questions and identify opportunities for improvement.
• Stay updated with advancements in analytics technology and methodologies.
• Serve as a technical expert in machine learning languages, packages, and techniques.
• Mentor and guide junior Data Scientists and Analysts.
• Present findings to management and the business using data visualization techniques.
• Collaborate with business stakeholders to identify, prioritize, and deliver key business opportunities where analytics can drive bottom-line value.
• Drive the adoption of data-driven decision-making across the organization.
• Partner with teams to define business requirements and expected outcomes for analysis and solution design.
• Build and maintain data science solutions, including using machine learning, cloud technologies, and APIs.
• Migrate on-premises solutions to the cloud and help drive business value through data science.
• Assist with the development of the necessary infrastructure (databases, BI tools, modeling software) to support the analytics agenda.
• Collaborate closely with the business to understand how analytics and data science can enhance their operations.
• Perform any additional duties necessary to support the operational effectiveness of the company.

Required Knowledge, Experience, and Skills:

• 4-6 years of experience in a related field.
• Strong analytical and problem-solving skills.
• Experience in big data analytics, database mining, statistical modeling, and programming.
• Knowledge of database analytical tools and statistical packages.
• Experience with Classification models, Anomaly detection, Regression, and Neural networks.
• Proficiency in Python, SQL Server, PowerBI, Excel, PowerPoint; Azure is a plus.
• Understanding of APIs in Python.
• Strong communication skills (both written and verbal).
• Excellent project management and delivery skills.
• Excellent relationship management and facilitation skills.

Educational Requirements:

• Matric.
• A degree in Science, Mathematics, Statistics, Engineering, Computer Science, or Data Science.

Please send your CV to lolroux@networkfinance.co.za Should you not hear from us within two weeks, please consider your application unsuccessful. Get smarter responses, upload files a

Requirements:

• Conduct statistical analysis, forecasting, predictive modeling, simulation, and optimization to uncover trends, opportunities, and threats.
• Evaluate the effectiveness of new data sources and gathering techniques.
• Improve data collection procedures to include relevant information for building analytical systems.
• Design and develop advanced quantitative analytics models to answer business questions and identify opportunities for improvement.
• Stay updated with advancements in analytics technology and methodologies.
• Serve as a technical expert in machine learning languages, packages, and techniques.
• Mentor and guide junior Data Scientists and Analysts.
• Present findings to management and the business using data visualization techniques.
• Collaborate with business stakeholders to identify, prioritize, and deliver key business opportunities where analytics can drive bottom-line value.
• Drive the adoption of data-driven decision-making across the organization.
• Partner with teams to define business requirements and expected outcomes for analysis and solution design.
• Build and maintain data science solutions, including using machine learning, cloud technologies, and APIs.
• Migrate on-premises solutions to the cloud and help drive business value through data science.
• Assist with the development of the necessary infrastructure (databases, BI tools, modeling software) to support the analytics agenda.
• Collaborate closely with the business to understand how analytics and data science can enhance their operations.
• Perform any additional duties necessary to support the operational effectiveness of the company.

• 4-6 years of experience in a related field.
• Strong analytical and problem-solving skills.
• Experience in big data analytics, database mining, statistical modeling, and programming.
• Knowledge of database analytical tools and statistical packages.
• Experience with Classification models, Anomaly detection, Regression, and Neural networks.
• Proficiency in Python, SQL Server, PowerBI, Excel, PowerPoint; Azure is a plus.
• Understanding of APIs in Python.
• Strong communication skills (both written and verbal).
• Excellent project management and delivery skills.
• Excellent relationship management and facilitation skills.

• Matric.
• A degree in Science, Mathematics, Statistics, Engineering, Computer Science, or Data Science.