Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Data Scientist

There has never been a more exciting time to join our digital and data team! Why? Because we are at the start of a journey that will fundamentally change our business, and how our customers shop with us both today – and in the future.

As a result, we are looking for a dedicated individual to help us continue to turbocharge data science at M&S.

The community is dedicated to building end-to-end AI and machine learning solutions in retail and e-commerce. This helps our colleagues in Food, Clothing & Home, Fashion, Marketing, Loyalty, Supply Chain, Growth and Customer Services to drive value from data and build personalised experiences for our customers.

We apply state of the art machine learning techniques to seek a variety of problems such as outfit recommendations in fashion, personalised offers for our loyalty program, pricing optimisation, demand forecasting for supply chain, product waste management for retail, and AI powered campaigns for our marketing.

So, if you’d like to be part of a team that is already making a difference, and help us transform into an outstanding data driven organisation, we’d love to hear from you.

Key accountabilities and measures

• Use authoritative knowledge of data science techniques and statistics to regularly deliver sophisticated projects with a robust commercial approach.
• Regular drumbeat of delivery of projects – both large and small – that drives business benefit and gives M&S a competitive advantage.
• Deliver high quality meaningful data science by performing ad hoc analysis to predict, measure and interpret business trends.
• Demonstrate a culture of analytical ‘curiosity’ through innovative, data driven insights on business questions.
• Work alongside Senior & Lead Data Scientist to develop the data science agenda within D&D (digital & data).
• Implement a highly visual and commercial approach when delivering data science projects that engages and challenges the thinking of non / less technical audiences. Clearly and concisely communicate data science insight that then gets consensus.
• Similarly work alongside the rest of the D&D Analytics team to champion/implement self-service and decisioning for the D&D client base with a strong emphasis on automation to lift the team out of BAU.
• Act as support to D&D analysts and other M&S functions, such as Marketing, Merchandising or Logistics to identify opportunities and appropriate solutions to problems
• Work as a team to scan and maintain a presence within the market for opportunities in optimisation, analytical techniques, visualisation, tools and big data working with M&S Big data / IT Teams to prioritise and scope improvements.

Key skills

• PhD or MSc. in a numerate subject is helpful e.g. Machine Learning, Computer Science or Statistics.
• Experience in developing and deploying machine learning algorithms using Python or R.
• Proficient with SQL and NoSQL data bases.
• Prior experience of using Apache Spark to develop and deploy projects.
• Comprehensive proficiency in key programming languages (e.g. Python, Java, R, SPARK, SQL, etc) and software development skills.
• Specialist in mining large & sophisticated data sets - both structured and unstructured data and including (but not limited to) efficient extraction of data, transformation and application.