We are reinventing our business for the modern retail world. Our Strategy area for the Partnership will ensure that all of our customer data and insights are used to define where we will play, how we will win and what we will prioritise to ensure that the strategic direction of our business is clear and unambiguous. We are looking for a Data Scientist that can work autonomously, drive forward best practices and be an advocate for the Data Science discipline across the business.

What\'s the role about?

The core of this role is to help the Partnership make insight-driven, better informed, customer-centric decisions. In order to do this, you will need to work closely with teams across the Partnership, getting close to their world, hearing their problems and spotting the opportunities for improvement.

Why do our Data Scientists love working for us?

Our Data Scientists have the opportunity to make a tangible difference to our performance as a business through tackling a multitude of problems that span all facets of the retail and grocery decision space, both automated and human-driven. The scope for impact is enormous and we are a growing team, so we will only continue to have further impact on the business.

Data Science is a fast evolving field, which is something we recognise. We encourage our Data Scientists to continuously develop through hackathons, half day development Fridays and on the job learning. It is highly encouraged for Data Scientists to seek out new best practices and corroborate their findings with the rest of the team. 

What you will have

• Significant work experience in a data science and/or ML engineering role.

• Degree in Computer Science, Statistics, Engineering, Physical Sciences or similar/equivalent technical field.

• Excellent communication skills, with proven ability to work across functional teams to translate business issues into potential analytical solutions.

• A self starter that is enthusiastic in shaping and tackling the big questions that the business should be focusing on.

• Strong experience with applied statistics and standard data science techniques.

• Experienced user of Python (preferred) or R alongside relevant packages and libraries.

• Comfortable working with command-line tools.

• Experienced user of Git version control.

• Highly analytical mindset with problem solving attitude.

• Strong experience with data visualisation and the graphical presentation of key messages and concepts.

• Experience with Cloud technologies (GCP, AWS Azure). GCP preferred.

• Experience with the implementation of end-to-end Machine Learning solutions, cookie-cutter best practices, and ML Ops.

What else you could bring 

• Experience with People Management.

• Experience in retail, marketing and e-commerce.

• Experience with Agile methodologies.

 

Please note:

We occasionally close vacancies early in the event we receive a high volume of applications, therefore we recommend you apply early.

In light of the current situation, this role will temporarily involve a mixture of working from home as well as in the office environment. Therefore it’s key that you have access to a suitable working environment if at home, away from any distractions and your own secure wifi connection.

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.

 If internal, check your Workday notifications and see further guidance on the PDW under \"Internal application process\" 

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