Vacancy Details

Analytics Intern at Align-alytics - Exclusive to UCL Summer Internship Scheme
Location: London
Position: IT
Salary: £9.75 per hour (London Living Wage)
Date Posted: 20 March 2017
Vacancy Type: UCL Internship
Job Description:
Company: Align-alytics
Job title: Analytics Intern
Job type: Summer Internship
Location: Russell Square, London WC1B 4HP
£9.75 Per hour (London Living Wage)

Duration: 6 weeks full-time either from 12th June - 21st July, or from 10th July - 18th August
Application Deadline: 2pm Monday 3rd April 2017
The Company
AlignAlytics is an analytics company who are pushing the boundaries of database and visualisation technologies. We focus on creating value through innovative applications and analytical techniques.

Our customers need help with their data and we help them by building solutions that combine back-end database expertise (SQL/NOSQL), advanced modelling (Python, R, SPSS) and modern visualisation techniques (D3.JS).

We mobilize data and technology assets by working with them in agile iterations. We use this method of iterative feedback to ensure alignment with your business initiatives and deliver a smooth solution.

Aims of the internship

Therewould be 3 purposes:

  • Identify potential future employees.
  • Share some of the tech and innovation work we do with the intern and inspire them in their future work.
  • Leverage them on projects so that they are contributing to performance whilst also learning.
Activities, duties and responsibilities

We have a number of projects currently in development that the intern could support.  These include:

Truck breakdown analytics – we’re working with a truck manufacturer to help them build a solution out to better understand their truck breakdowns.  On this project we are creating a data model that blends SQL and NOSQL (ElasticSearch), includes text analytics of truck breakdown logs and also includes an app that lets users tag data with their own findings.

Pricing – we are working with 2 customers to develop a pricing solution where we model out price recommendations and then allow users to flex them to meet their own targets.

IOT (Internet of Things) Analytics – working on a project to predict when metro station equipmenjt will break down.  Project requires dashboard design and modelling work.

Skills and Experience that would be useful for this internship - applications will be shortlisted on this criteria

From a technical standpoint we use a mixture of SQL, ElasticSearch and Python for much of our data work.  So expeience in any of these is a benefit.

Also experience in other languages such as R, JavaScript, SPSS and HTML is an advantage.

 Finally, any exposure to ETL packages such as SSIS is also helpful.

From the commercial side, it’ll also help if you have an interest in some of our analytical areas such as pricing, financial analysis, geo-mapping, IOT, or retail analytics.

You can find out more about what we do at or one of our open source projects .

Please note: If you are successful in being made an offer from the company for this internship, you will need to complete an Internship Agreement Letter and return this to UCL Careers before the internship starts.
Benefits and tangible skills/ experience the intern will gain by the end of the internship

We’d hope you would learn some great technical skills in terms of coding in languages such as Python and SQL.  More importantly you would learn about how these technical skills are actually used in real use cases.  This is normally a great learning experience as the data we receive from customers is normally messy and requires additional steps before we can analysie it or use it an application.

Degree subjects that might be most relevant for the role
  • Computer Science
  • Mathematics
  • Statistical Science

This opportunity is part of the UCL Careers Summer Internship Scheme. Part of the wage for the successful intern is provided by Santander Universities, but the successful intern will be paid the full amount through the host company's payroll as normal.


Note: By applying for this vacancy below, you confirm that you are a current UCL student, recent UCL graduate or member of UCL research staff only. You must submit a cover letter tailored specifically to this role as part of the application.

Due to the high amount of interest that we receive for each of our roles, we will unfortunately be unable to respond to each application individually. Only successful applicants will be contacted directly by the recruiter offering this vacancy.

If you are a current undergraduate / postgraduate or recent graduate, we advise that you book an appointment to have your application checked with one of our Application Advisors at UCL Careers.

Go to for information about booking an appointment.

If you are a PhD student and would like some advice on non-academic CVs and applications, please follow the link to a webinar here: Watch now...

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