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 27th Tuesday
October 2026 
Job-Id: 51912

Data Science Trainee

IT Career Switch Careers
Industry Type
IT
Functional Area
Data ScienceAnalytics Industry IT
Nationality
Any
Keywords
Flexibility
Job Description

IT Career Switch Careers offers a Data Science Trainee position in Cambridge, United Kingdom. The role is open to candidates with 1 to 20 years of experience and provides flexible training options for full-time, part-time, or unemployed individuals.

Position
Data Science Trainee
Company
IT Career Switch Careers
Location
Cambridge, United Kingdom
Industry
IT
Experience
1 to 20 years
Show the original advert
We are currently seeking companies in need of talented Data Science Traineeship graduates to cater to their growth. This opportunity is open for both full-time and part-time candidates, as well as those who are currently unemployed. The program allows for flexibility, ensuring that it can be completed at a pace that suits each individual. Successful candidates will also benefit from the reassurance of...

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About the role: Data Science Trainee

General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.

Data Science Trainees learn to analyze and interpret complex data to help organizations make informed decisions. They typically work in IT companies, research institutions, or business environments where data-driven insights are valuable.

What this role usually involves

  • Assist in collecting and cleaning data from various sources
  • Support the development of data models and algorithms
  • Help visualize data findings using charts and graphs
  • Collaborate with team members to solve data-related problems
  • Participate in training sessions to improve data science skills

Skills employers usually look for

  • Basic knowledge of programming languages like Python or R
  • Understanding of statistics and data analysis techniques
  • Ability to work with databases and data management tools
  • Good problem-solving and analytical thinking
  • Effective communication skills to present data insights

Usual qualifications

  • A diploma or degree in computer science, statistics, mathematics, or related fields is usually expected
  • Familiarity with data science concepts and tools through coursework or training
  • Willingness to learn and adapt to new technologies

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