Description
We are a leading insurance provider seeking a motivated and curious Junior Data Scientist to join our growing data engineering team. As a recent university graduate, this is a unique opportunity to build a career from the ground up and make a significant impact on our organization. You will be instrumental in helping us unlock the potential within our vast datasets, transforming raw information into actionable insights that drive business decisions. This role involves collaborating with various departments to understand their challenges and applying your analytical skills to solve real-world problems. We are committed to your professional development, offering mentorship and the chance to learn and grow in a supportive environment. If you have a passion for data, a desire to learn, and are eager to help shape the future of insurance, we encourage you to apply.
Requirements
1. Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
2. Proficiency in a programming language such as Python or R for data analysis.
3. Hands-on experience with data manipulation and analysis libraries like Pandas and NumPy.
4. Foundational knowledge of SQL for querying and extracting data from relational databases.
5. Understanding of core statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
6. Demonstrated ability to clean, process, and prepare data for analysis.
7. Strong analytical and problem-solving skills with a high attention to detail.
8. Experience completing data-focused projects as part of academic coursework or personal initiatives.
Desirable
1. Familiarity with data visualization libraries or tools (e.g., Matplotlib, Seaborn, Tableau).
2. Basic experience with version control systems, particularly Git.
3. Exposure to cloud computing platforms (e.g., AWS, Azure, GCP).
4. Excellent communication and collaboration skills.
5. A keen interest in the insurance industry and its specific data challenges.