You will analyse complex data to help organizations make informed decisions. They use statistical methods, machine learning, and programming to extract insights and solve problems.
Duties: - Analyses complex data to support decision-making.
- Uses statistical methods, machine learning, and programming to extract insights.
- Develops and implements machine learning models.
- Creates visualizations to communicate findings.
- Collaborates with stakeholders to align with business goals.
- Cleans and organizes data from various sources.
Job Experience and Skills Required: - Programming: Proficiency in Python, R, and SQL.
- Statistical Analysis: Strong knowledge of statistical methods.
- Machine Learning: Experience with models and frameworks (e.g., Scikit-learn).
- Data Visualization: Proficient in tools like Tableau, Power BI.
- Data Cleaning: Ability to process and organize data.
- Big Data: Familiarity with tools like Hadoop, Spark.
- Problem-Solving: Strong analytical skills.
- Communication: Ability to explain complex data to non-technical audiences.
Qualifications: - Education: Degree in Computer Science, Data Science, or related field.
- Certifications: Optional certifications in data science or machine learning.
- BSc in Statistics, Mathematics, and Actuarial Science.
