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Junior Data Scientist

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.

Getting StartedA few quick details so we know how to reach you

How did you hear about us? *

Which country's passport do you hold? *

Email *(Please ensure the email matches the one mentioned in your CV or resume)

LinkedIn Profile URL *

Please mention your notice period *

Let’s Get to Know You BetterA few short questions to understand your experience and what you enjoy doing

1. Have you used Python or R with libraries like Pandas and NumPy for data analysis in an academic or personal project? *

2. Do you have experience writing SQL queries to retrieve data from a database? *

3. Have you applied a machine learning model, such as linear regression or classification, to a dataset? *

4. Does your prior project experience include tasks like cleaning data or handling missing values? *

5. Have you completed a data-driven project from defining the initial problem to interpreting the final results? *

6. Can you provide a link to a GitHub profile, personal project, or data competition entry that showcases your passion for data science? *

Final DetailsSalary expectations and any supporting credentials
1. Where does your salary sit today (so we can help it move up tomorrow)?*

Enter your monthly salary in your local currency

2. What’s the number that’ll make you say "this is worth it"?*

Per month, in the currency mentioned

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