My 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 analytics and the data science agenda within a dynamic organization. The primary objective of this role is to enhance the decisionmaking process through insights analytics machine learning and AI ultimately adding value to critical business functions such as Underwriting Claims Sales and Product Design.
Duties & Responsibilities
Job Opportunity: Data Scientist
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 bottomline value.
Drive the adoption of datadriven decisionmaking 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 onpremises 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:
46 years of experience in a related field.
Strong analytical and problemsolving 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 Power BI Excel and 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.
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