Kubrick
graduate scheme
Expires3 days

Data Engineering and Analytics Graduate Programme

Job description

Would you love to explore a career in data sscience, engineering or analytics? If you are either a recent graduate or have at least one years’ commercial experience in an analytical role we would love to hear from you.

We work across all sectors and our projects have included helping retailers predict fashion trends, car manufacturers project sales of new models and even hospitals understand the real reason for the growth in patient numbers in their A&E departments.

If these sorts of challenges excite you Kubrick would like to hear from you. We are looking for our next intake of data specialists to join our journey. Embark on your exciting and challenging 15-week training period in our data labs in London and then get to work for one of our most exciting clients in the UK.

What you’ll do:

  • Immediately be paid to be trained by us, from the day you join. We fully prepare our people in our London data labs before they go on client site.
  • Be taught all the latest technology skills relevant to data challenges such as Hadoop, Python, Spark, SQL, Tableau, Machine Learning and NoSQL databases
  • Receive soft skills training including office basics, communication skills, networking, career management, interview practice, transitioning to client site, etc. in addition to Q&As with our HQ Team, consultants on client site, Kubrick Alumni and Clients.
  • Learn from the best in the sector, our courses are designed by industry figure heads
  • Work as a consultant for Kubrick following your training and integrate yourself into a company’s data team with the option to join them permanently after your two years on client site

Here are some examples of the projects we have worked on:

  • We have built chatbots to enhance customer experience
  • Complex dashboards with AI, for banking clients so they have greater information at their fingertips
  • Implementation of blockchain within the travel industry making transactions quicker and more secure
  • Created a data analytics database for computational chemistry as part of a wider data infrastructure for augmented drug discovery
  • Sentiment engines built for retailers to better understand demand
  • Used machine learning and predictive modelling to foresee and solve potential customer problems before they happen for a telecommunications client
  • Improving health treatments and food nutrition for pets using natural language processing on vets’ notes

What we are looking for

  • Desire to work with data and how it can help an organisation make better decisions
  • Flexible and adaptable communicator who can work collaboratively
  • Committed to producing high quality solutions
  • Dedicated to continuous personal and professional development
  • Geographic flexibility - able to attend training in London and then be placed either in London or around the UK
  • Curious, analytical and great at solving problems – we don’t need any previous coding skills, just excitement to learn.

Qualifications

Educated to degree level with at least A-level mathematics or statistics and minimum of 120 new (300 old) UCAS points.

Accepted degree subjects

  • physics
  • economics
  • mathematics
  • medicine and surgery
  • chemical engineering
  • chemistry
  • politics
  • accounting and finance
  • transport engineering
  • aerospace engineering
  • biology and life sciences
  • mechanical engineering
  • computer sciences and IT
  • pharmacy and pharmacology
  • psychology
  • electronic and electrical engineering

Additional job details

Location
UK wide
 · Training in London HQ, with placements around the UK
Salary
£32,000

after commencing client project work, with a rise after one year of project work to £40,000. Perbox, pension, eye tests, cycle to work scheme, referral scheme

Contract, dates and working times
Permanent

Full-time

How to apply

Click Apply to start your application now. This job will be available on Prospects until 15 December 2019

Don't forget to mention Prospects to employers when you contact them.

Closing date:  15 December 2019

Apply
Favourite
Expires3 days

To stay safe in your job search we recommend that you visit SAFERjobs, a non-profit, joint industry and law enforcement organisation working to combat job scams. Visit the SAFERjobs website for information on common scams and to get free, expert advice for a safer job search.