Apprentice Data Scientist

Job Description

We are looking for an enthusiastic Intern Data Scientist to join our growing team. The successful candidate will be eager to work with data, possess a solid grasp of basic statistical concepts, and have hands-on experience using Python/Excel for data analysis. This role is ideal for individuals from a science or engineering background who are keen to develop their skills in deep diving the data. 

Responsibilities: 

• Data Handling: Retrieve, clean, and organise datasets for analysis, ensuring data integrity and accuracy. 

• Statistical Analysis: Apply foundational statistical methods to interpret data and generate insights. 

• Python Programming: Utilise Python and its popular libraries (such as pandas, numpy, and matplotlib) to perform data manipulation, analysis, and visualisation tasks.  

• Reporting: Present findings clearly using charts, graphs, and written summaries to communicate results to the team. 

• Collaboration: Work closely with other data scientists and team members to support ongoing analytical projects. 

Qualifications

• Education: Bachelor’s degree in a science or engineering discipline (e.g., Computer Science, Mathematics, Physics, Statistics, Engineering, or related field). 

• Technical Skills: 

• Proficiency in Python for data analysis and visualisation. 

• Basic understanding of statistics, including descriptive statistics and simple inferential methods. 

• Familiarity with data handling and processing techniques. 

• Experience with data visualisation tools is an advantage. 

• Analytical Mindset: Strong logical and quantitative reasoning skills with an ability to draw meaningful conclusions from data. 

• Team Player: Capable of working effectively within a team environment. 

• Communication: Good written and verbal communication skills for sharing insights and collaborating with colleagues.