Data Science Intern

  • Full-time

Company Description

How robust are supply chains in this age of globalisation?

Recent experience shows not nearly enough.

In the last year we've seen toilet roll stockpiling at the start of the pandemic...

Semiconductor shortages stopping smartphone or electric car production...

Evidence of Modern Slavery in the fashion industry supply chain...

Myriad shortages caused by the Suez Canal blockage...

Container ships queued outside ports for weeks due to lorry driver shortages...

Warnings of empty Christmas stockings…

An imperative to reach Net Zero.

At Versed AI we're helping companies take action to address these issues with AI-powered supply chain visibility to multiple levels.

Our tech is cutting edge AI (NLP & ML) that surfaces previously-unknown supplier relationships. Our customers use this insight to make better decisions and take meaningful action - improving their supply chain's resilience, environmental and ethical performance.

Spun out from our CTO's PhD research at Cambridge University, we're backed by Founders Factory, Innovate UK, the Royal Academy of Engineering and a member of Tech Nation's Applied AI 2021 cohort.

Job Description

* This is a remote-first role; candidates should be based in the UK *

As a Data Science Intern you will have a key role in evaluating our current supply chain datasets for insights, and supporting the analysis, integration and testing of new datasets to grow our customer value.

As a member of a fast-moving start-up, we're looking for someone who is curious, improvement-focussed and adaptable. You'll be helping us to identify opportunities in our data, develop hypotheses and quickly test & iterate around them, learning to use new tools as needed.

You'll be working closely with our tech team and R&D team, with engagement also with our CTO. You will experience how the whole business operates though our weekly whole team meetings.

Your key responsibilities will be:

  • Inspecting and analysing our current supply chain datasets to generate internal metrics and test external use cases

  • Support the enrichment of our existing data by testing and integrating new data sources

  • Perform data orchestration

  • Performing data transformations to optimise the value of our analyses

  • Identifying, evaluating and implementing where appropriate other improvements which drive enhanced customer value and/or scalability of our data


  • You should be undertaking (or recently finished) a Data Science, Data Engineering or equivalent quantitative degree

  • Maths or Further Maths A level or equivalent

  • Knowledge of Python and SQL

  • Experience with Elasticsearch, Neo4j and Spark is desirable but not required

Additional Information


You'll be joining a tight-knit team through the exciting stages of growing an AI tech business.

Our values are impactful and trusted - precisely what you'll be when you're helping the team to create game-changing value for Versed AI clients, particularly complex manufacturers.

We have a diverse range of nationalities in the team with locations spread across the UK, so you'll be joining a team comfortable with flexible working. We operate a mix of fully-remote and hybrid working (1-2 office days per week), so you'll be able to choose the best arrangement to suit your personal preference.


  • Flexible working location - we've been a virtual team since we started and also have access to co-working spaces in London and across the UK via our partnership with Flowspace.
  • Flexible working times - whilst you’ll be doing a full-time role, some of us work better at different times of day. We’re happy to agree working schedules that align with your best times, as long as there is enough overlap with the team to appropriately carry out your role
  • 33 days holiday per annum (including Bank Holidays)
  • Directly contribute to the growth of a VC-backed, Cambridge AI spin-out that's developing world-leading tech
  • The chance to solve difficult problems and ownership of the solutions to those problems
  • Opportunity to learn rapidly - you’ll be working with experienced tech pioneers in a fast-paced company and industry.
  • As a growing company, there will be opportunities for career progression as we bring new clients onboard and expand the team.