Apprentice_ Data Scientist

23 Minutes ago • All levels
Data Analysis

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. Key responsibilities include data handling, statistical analysis, Python programming, and reporting findings to the team.
Good To Have:
  • Experience with data visualisation tools is an advantage.
  • Candidates from science or engineering backgrounds are especially encouraged to apply.
  • Vadodara or Gujarat local person is preferred.
Must Have:
  • Retrieve, clean, and organise datasets for analysis, ensuring data integrity and accuracy.
  • Apply foundational statistical methods to interpret data and generate insights.
  • Utilise Python and its popular libraries (such as pandas, numpy, and matplotlib) to perform data manipulation, analysis, and visualisation tasks.
  • Present findings clearly using charts, graphs, and written summaries to communicate results to the team.
  • Bachelor’s degree in a science or engineering discipline.
  • 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.
Perks:
  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

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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.

Additional Information

  • This is a full-time internship position suitable for recent graduates or students in their final year.
  • Opportunity to gain hands-on experience with real-world data projects.
  • Candidates from science or engineering backgrounds are especially encouraged to apply.
  • Vadodara or Gujarat local person is preferred.
  • Stipend is 12 K per month and it's a 9 months contract

If you have a passion for data, a knack for statistics, and experience with Python, we would love to hear from you! Please submit your CV and a short cover letter detailing your relevant skills and experience.

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