Data Scientist

Network Finance.; Johannesburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading company is seeking a Data Scientist to enhance decision-making through analytics and data science. The role involves conducting statistical analysis, developing models, and mentoring junior staff, requiring strong analytical skills and a relevant degree.

Qualifications

• 4-6 years of experience in a related field.
• Strong analytical and problem-solving skills.
• Experience in big data analytics and statistical modeling.

Responsibilities

• Conduct statistical analysis and predictive modeling.
• Design and develop advanced quantitative analytics models.
• Mentor and guide Junior Data Scientists.

Skills

Analytical skills

Problem-solving

Communication

Project management

Relationship management

Education

Degree in Science, Mathematics, Statistics, Engineering, Computer Science, or Data Science

Tools

Python

SQL Server

Power BI

Excel

PowerPoint

Azure

Job description

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 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.

Duties & Responsibilities

Job Opportunity: Data Scientist

Key Responsibilities:

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

Required Knowledge, Experience, and Skills:

1. 4-6 years of experience in a related field.
2. Strong analytical and problem-solving skills.
3. Experience in big data analytics, database mining, statistical modeling, and programming.
4. Knowledge of database analytical tools and statistical packages.
li>Experience with classification models, anomaly detection, regression, and neural networks.
5. Proficiency in Python, SQL Server, Power BI, Excel, and PowerPoint; Azure is a plus.
6. Understanding of APIs in Python.
7. Strong communication skills (both written and verbal).
8. Excellent project management and delivery skills.
9. 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 [contact info]. If you do not hear from us within two weeks, please consider your application unsuccessful.

Package & Remuneration

Market related

Key Skills

Laboratory Experience, Immunoassays, Machine Learning, Biochemistry, Assays, Research Experience, Spectroscopy, Research & Development, cGMP, Cell Culture, Molecular Biology, Data Analysis Skills

Employment Details

• Type: Full-Time
• Experience: 4-6 years
• Vacancy: 1

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