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    1. Home
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    4. Data Scientist Industrial Placement 2022
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    Closing soon

    Our Industrial Placement Programme within the John Lewis Partnership will make you see retail in a new light. Our unique Partnership difference and approach to business will enable you to get the most out of your placement year. Our placements combine hands-on experience with real projects. You will also receive relevant on the job training.

    Within the Data Analyst team, you will have the opportunity to get fully embedded into the problem solving process which extends from data preprocessing, to defining the modelling best practices and to defining a solution that our stakeholders can leverage. We are looking to provide tangible work experience that will ultimately increase a student’s chances of landing a full time job post University. Through this year in industry you will have the opportunity to translate the skills and knowledge you have learnt from your study, into the workplace, whilst using your support network to develop your understanding of how our business is structured and operates, supporting your studies and gaining valuable experience for your future career.

    The role

    • Create insight-driven, better informed, customer-centric decisions.
    • Operate in a cloud based environment that connects vast data lakes with scalable instances
    • Continually learn through the mediums of Hackathons, ring fenced time for learning and autonomy during the problem solving process.
    • Receive significant programming experience in Python within the Google Cloud Platform environment

    About you

    • To be eligible for this role, you must be studying an undergraduate degree at university. As part of your degree, you will be taking a year out in industry commencing July 2022.
    • You will be on a numerate and problem solving degree from one of Computer Science, Statistics, Mathematics, Engineering, Physical Sciences or equivalent technical fields.

    You could also bring

    • An enthusiastic individual that is looking to develop by tackling real business problems throughout their placement year.
    • Highly analytical mindset with a problem solving attitude.
    • An appreciation of typical Data Science based techniques.
    • Highly analytical mindset with a problem solving attitude.
    • Experience using R or Python.
    • Experience using SQL.
    • Experience with Cloud technologies.
    • Ability to use command-line tools.
    • Experience using Git.

    Applications

    • Interviews will take place at the beginning of December.
    • The placement will start on Monday 18th July 2022.
    • We will only accept one application for any of the Partnership Industrial Placement schemes. If you apply for more than one scheme, we will take the first application we receive. You will then receive an email notifying you of the withdrawal of any subsequent applications.
    • Please print off the job outline now, as you will be unable to view it once the vacancy has closed.
    • We occasionally close vacancies early in the event we receive a high volume of applications. Therefore, we recommend you apply early ​

    The application form consists of a CV upload, an online test followed by application questions. Please ensure you refresh the page each time you complete a task to ensure you complete everything that you need to in time. 

    As a business we encourage flexible working. We have a number of different ways to work flexibly, so at your interview feel free to talk about what flexibility means to you. There are no guarantees, however, examples of how our Partners already work flexibly include part-time, job share, home working and compressed hours.

    We positively celebrate Diversity & Inclusion in the John Lewis Partnership. Our aim is to become the UK’s most inclusive business - for our Partners and for our customers, reflecting and connecting with the diverse communities that we serve. We want people from all walks of life to feel valued for their individuality, thrive in our business and share a sense of belonging.