Graduate Opportunity

Graduate Machine Learning / Data Scientist


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We are looking for talented mathematicians, physicists and computer scientists to join our group of data scientists and machine learning engineers in the Industrial, Consumer and Energy division.

Joining Cambridge Consultants

"There's such a breadth of knowledge from so many different people; you can gain knowledge in different skillsets you didn't even know existed."

We do machine learning, computer vision, robotics, Bayesian inference, signal processing, sensing, modelling and more – whatever it takes for whatever we’re making.  

We have the privilege to work with a wide range of ambitious clients who want to develop new technology. As a result we work across a huge range of projects, from agricultural and industrial robotics, to indoor location systems, to hyperspectral imaging of skin.

We are looking for people who are motivated by the idea of applying their data analysis and modelling skills to real-world engineering.

Successful candidates will be available to start from September 2023.

Role description

You will be responsible for implementing and evaluating algorithms as part of our many technology development projects. Often you will work as part of a multi-disciplinary team.

You'll have to get your head round the data you're working with which can range from imagery to radar to amino acid sequences and use that understanding to help design the right algorithms that will help achieve the project's goals.

Practical software experience, especially in Python, MATLAB or R, could help you get off to a flying start here, as could a Masters degree or PhD in a relevant subject, but these are not essential. Our collaborative and supportive working environment allows our engineers to quickly develop their skills and knowledge in unfamiliar areas.

This role provides a valuable opportunity to work alongside and learn from more experienced colleagues in both your own and related fields. As you grow in experience you will get the opportunity to take on increasingly challenging tasks and will start to take on more responsibility for interactions with our clients, working with others to identify and define the technical solutions that will solve their problems.

While we take the quality of our work very seriously, you will find that we have a friendly and informal work environment. While work can be hectic when deadlines loom, we care about having a healthy work-life balance.

Your Experience

  • Excellent first degree in maths, physics, computer science, or engineering
  • The ability to communicate technical concepts to non-experts
  • The ability and desire to work as part of a team


  • Competitive salary reviewed annually 
  • Company profit share 
  • Generous pension 
  • Hybrid working model 
  • Flexible working hours and location 
  • 25 days' annual leave plus public holidays, with flexibility to carry over / borrow 
  • Comprehensive insurance - Life, disability, private healthcare and travel insurance (business & leisure)
  • Enhanced family leave benefit of 13 weeks full-pay parental leave for those that meet qualifying criteria
  • Career development and training opportunities
  • Social committee
  • Discounted train season tickets, through Travel Plan Plus
  • If travelling to Cambridge by train; Free shuttle service to/from Cambridge North train station, through Cambridge Science Park
  • Whilst in the office; Free canteen - breakfast, lunch & refreshments 
  • A comprehensive relocation package is available, if applicable 

Future prospects

Cambridge Consultants is committed to developing its employees' careers and has a flexible policy for individual capabilities and preferences. Promotion is linked to merit.

Diversity & Inclusion

Cambridge Consultants is a workplace where everyone is welcome. When the brightest minds come together and feel included, that’s when we develop the most important technology breakthroughs. We believe that diversity can only flourish when everyone feels involved and has a sense of belonging.

We welcome and value all people regardless of their characteristics and encourage applications from all backgrounds and dimensions of society.

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Opportunity Overview

  • Deadline: June 30th, 2023
  • Starting: September 2023
  • Hiring multiple candidates
  • Starting Salary: Competitive + benefits
  • 2:1 and above
  • Cambridge
    (Show map)

Preferred Disciplines...

  • Artificial Intelligence
  • Computer Science
  • Data Science
  • Information Technology
  • Maths
  • Physics
  • Robotics
  • Systems

Also Accepting...

  • All STEM disciplines

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