Summary
As part of the M&S Data Science team, you’ll be joining a well-loved historic brand, working on solutions that serve millions of loyal customers and thousands of colleagues! With ethical values that run right through the company’s core and technology leaders that truly understand the value of data, it’s an exciting time as we’re redefining ourselves into a digital first and data-led organisation, with the quality of our Data Science team being a key differentiator.
We are seeking a passionate Senior Data Scientist to deliver machine learning models and other data science components of digital products that improve business outcomes aligned to business and function strategy. Being creative, curious and proactive, you will be an integral part of our data science team and help drive value to the business through AI.
You will play a key role in driving our ambition to create a best-in-class data science team, environment, and culture. We are looking for people to join our community of data experts to drive this transformation, build a modern digital ecosystem using exciting technologies and do the best work of their careers.
What’s in it for you
Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
Here are some of the benefits we offer that make working for M&S just that little bit more special…
What you'll do
The Senior Data Scientist role is the embodiment of ‘driving value to the business through AI’ with key responsibilities as follows:
▪ Contribute to and own delivery of data science work that supports the development of customer or colleague facing products as an independent contributor, with the support of the Head of Data Science where necessary
▪ Coach and support Graduates and Data Scientists in the team, contributing to their technical and personal development
▪ Progress work consistently without significant need for support from more senior colleagues, using deep data science expertise
▪ Help develop data science models employing best practice
▪ Contribute to the technical implementation and productionisation of end-to-end machine learning systems
▪ Active engagement in and delivery of projects according to agile principles by taking on tickets and ensuring that progress is documented appropriately
▪ Create and submit regular Pull Requests for colleagues to review, and review Pull Requests of others to ensure that best practice is being followed
▪ Active participation and contribution to the data science community at M&S by presenting work at internal and external meetings
▪ Support and contribute to the evaluation, scoping and ideation of new data science projects
▪ Actively collaborate with colleagues, including those outside data science, to develop solutions that address customer requirements and improve value for the organisation
▪ Adopt best practice, embrace improvement opportunities, using feedback to learn and develop new technical and non-technical skills, and share knowledge with team members
▪ Coach, mentor and develop others in the team by providing knowledge, guidance and assets to less experienced members
Who you are
Everyone’s welcome
We are ambitious about the future of retail. We’re disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We’re transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.
If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
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