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Senior Data Scientist 203 views

Job Description

 

At a glance

This is a hybrid working role, therefore your time will primarily be split between working from home and the London/ Head Office. However, there will also be an expectation to visit other locations as the need arises.The salary range for this role is set at £ 45,800.00 – £66,000

Contract type

This is a permanent role

About The Role

Do you like shopping, food and problem solving? Do you have ideas to improve the Waitrose and John Lewis customer experience? Then this opportunity is for you!We are looking for partners who can put themselves in the mind of our customers and imagine a better shopping experience through the use of data science.Our Partnership is an ongoing experiment to find happier, more trusted ways of doing business, for the benefit of us all, and our Data Science team is at the core of this. We work together to create a successful business and a fairer, more sustainable future for partners, customers, suppliers and communities.We work on projects that span the entire John Lewis Partnership, from product recommendations on our websites to optimising how much bread to bake in our stores, alongside other typical retail use cases such as forecasting and price optimisation. We work closely with our stakeholders to understand their problems and collaborate to solve them.We are increasingly embedded within product teams alongside engineers, analysts and product managers developing ML products, but some of us also work on solo missions or in pairs using data science to inform big strategic decisions. There is plenty of scope for variety in the role, so no two days are the same. If that’s your thing then you’ll fit right in.Data Science is an ever-evolving field, so spending time on development is extremely important to us. Discussing and sharing ideas is part of our DNA and we are constantly finding new ways to do this through hackathons, bootcamps, weekly development time as well as on the job learning.

Team ethos / Who are we?

We are a friendly, inclusive and supportive team who look out for each other. We work in different areas of the business, so staying connected is important to us and we try to get together as a team socially as well as during working hours (virtually and in person).At the Partnership, we value out-of-the-box thinking and different ways of looking at the world. We know that often the smartest solutions come from unique perspectives and viewpoints. We aren’t just looking to tick off a list of technical skills, but are actively committed to fostering new ways of thinking and solving problems. We therefore encourage applications from people of diverse backgrounds – whether that be gender, race, education, employment history or anything else, and we strive to be a more welcoming and inclusive environment.

We’d love to hear from you if…

  • You read this job description and felt excited about working at JLP
  • You’re a problem solver and love to get stuck into a business challenge
  • You can code in Python and SQL
  • You can identify appropriate data science solutions to business problems and apply them
  • You love learning and applying new data science techniques to your work
  • You’re a data communicator, and happy working in cross functional teams
  • You can bring fresh ideas and experiences to our team

If these also apply to you that’s a bonus!

  • You have work experience in retail and grocery
  • You are comfortable with Git version control and command line
  • You have used Agile methodologies
  • You have worked with Cloud technologies (we use GCP and Snowflake)
  • You have experience with ML Ops (we use Dataiku and Vertex AI)
  • You apply software engineering best practices

Benefits of the Partnership

You will enjoy 25% discount at John Lewis and 20% in WaitroseThe Partnership has a competitive pension scheme where your contributions will be matched by the Partnership (up to 8% of pay)Excellent work-life balance, including a focus on well-being and flexible working and our marketing leading equal parenthood leave PolicyFind out more about the extensive range of exciting benefits that you could enjoy when you join us on our website under About the Partnership; Benefits LINK

Next Steps

The application form consists of a CV upload 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. (If internal, check your Workday notifications and see further guidance on the PDW under “Internal application process”Once you’ve submitted an application the next steps of the process, if successful, will include a 1st stage virtual interview followed by a more detailed Stage 2 Interview.You’ll be asked about any adjustments you might need to support the recruitment process. Let us know, and we’ll be sure to discuss it with you.For External applicants – Please click on the link below for the role profileFor Internal applicants only – If you would like to view the job outline for this role please copy and paste the following link into your browser

LINK Please note that should we receive high volumes we reserve the right to close the role early.

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