Graduate: Data Scientist + Training (UK Remote)

Jumping Rivers is hiring!


Jumping Rivers is an analytics company whose passion is data and machine learning. We help our clients move from data storage to data insights.

The company has three key strands: training, data engineering and machine learning consultancy. As a small company, the roles are rarely clear cut. We think this is a good thing; the team get to experience different ideas and concepts, never stuck on mundane tasks.

We are based in Newcastle upon Tyne in the Catalyst Building - home to the National Innovation Centre for Data. But half the company is remote (within the UK). We trust our team to manage their own time. If you want to go for a run in the afternoon and work later, that's fine with us!

If you are based near Newcastle, then you can come into our office.


  • A new laptop (typically a Dell XPS 13)
  • A camera and headset
  • Up to £1000 on the cycle to work scheme
  • 25 days holiday + statutory holidays + additional time off at Christmas (usually 2 to 3 days)
  • Additional employer pension contribution
  • Opportunities to attend and present at conferences

We embrace flexibility and remote working. If you want to take Friday afternoon off and work the next day. That's fine. We even allow you to be flexible with Bank holidays. If you want to work on Bank holiday and use that day some other time; that's also fine!

Job Description

We are currently looking to expand our training and consultancy team.

Location: Remote, but within the UK. We expect that post-Covid we will start on-site training again. This would involve travel to London or Edinburgh.


The exact responsibilities depend on experience. If you are at the beginning of your career, we will provide the space, support and tools to develop your skills. For those with more experience, we would expect you to develop new courses and interact directly with clients.

  • Training: On average 1 day of training per week, with an additional 0.5 days allocated to training related admin.

  • Consultancy: Helping or leading on client projects.

We like to give the team flexibility to manage their time. This means if you want to take the morning off for a run and work later in the day. That's fine by us.

Technical duties:

  • Running training courses. Initially online, but eventually on-site

  • Analysis using R and/or Python

  • Depending on the applicant, assist, or lead on client projects.

Client contact:

  • Attend on-site client meetings (at some point in the future)

  • Off-site meetings via video conference call


The following is to give you a flavour of how Jumping Rivers runs internally. If you have never used these tools, don't worry, we can teach you.

Almost everyone uses Linux, from the Admin team to the data scientists. We all use GitLab. Our main languages are R & Python.

Informal enquiries: If you would like an informal chat about this role, then feel free to email us at

Deadline: 2022/01/31. We will accept applications for a short period after this date. But we anticipate interviewing around then

Start date: Sometime after graduation? Preferably sometime in June to September 2022.

Preferred Experience

For a junior position, we would expect a little R or Python knowlege, e.g. what's covered in a standard degree.

If you don't have training experience, then please indicate talks and other public roles you've had.

Recruitment Process

  • Initial short listing
  • Submit a short 10 minute video where you explain a basic R / Python concept
  • Thirty minute chat with a few of the JR team. This isn't part of the interview process and the discussions are private between you and the team. The intention is to give you a flavour of life at JR.
  • One hour interview
  • Depending on who was involved in the above process, a final chat with the CEO.

Additional Information

  • Contract Type: Full-Time
  • Location: Newcastle Upon Tyne, United Kingdom ()
  • Education Level: Bachelor's Degree
  • Experience: > 1 year
  • Possible full remote
  • Salary: between 23000 and 30000 / year