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Data Science Graduate Programme

Premium Job From BluetownOnline Ltd
Recruiter: BluetownOnline Ltd
Listed on: 7th October
Location: London
Salary/Rate: £35,000 - £35,000
Type: Contract
Start Date: ASAP

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Job Title: Data Science Graduate Programme

Location: London (remote Based)

Salary: £35,000+ upon completion of course

Job Type: Part Time, 18 weeks.

AiCore is an incredibly fast growing company focused on giving graduates, who are focused on all areas of tech, the best start to their career.

AiCore is offering an 18 week programme which trains the best graduates in data science, then goes on to get them exciting positions in some of the best names in the business.

Having partnered up with some of the strongest names in the industry over the last few years, they are now looking for talented graduates to route into them.

Leading companies who have hired AiCore students:

  • Apple
  • Samsung
  • Accenture
  • Revolut
  • Waitrose
  • Pfizer
  • Ocado

Important information:


This programme is only available to those based in the UK. However we do have a wide range of tuition plans to make the programme affordable to students from all backgrounds.

The course can be broken up into 5 main parts:

  1. Data Engineering
  2. Data Science
  3. ML Engineering
  4. MLOps
  5. Career support

The Candidate:

AiCore is looking for outgoing candidates with a strong interest in the Tech Space, who are looking to FastTrack their career.

  • Strong analytical and problem-solving skills.
  • The ability to work under pressure; learning as you go.
  • Be able to communicate effectively by telephone and e-mail, even when expressing technical detail to customers who do not necessarily speak English as a first language.
  • The ability to work well in a team.

Please click the APPLY button and to submit your CV.

Candidates with experience or relevant job titles of; Graduate, Graduate Training, Tech Scheme, Technology Training, Graduate Opportunities, Artificial intelligence, Grad Programme, Machine learning, Data Science, Data Engineering, MLOps, Python, Interns and Grads will also be considered for this role.