Principal Data Scientist - Deep Learning at Tesco
🇬🇧 United Kingdom › London (Posted Jul 2 2018)
About the company
Our vision here at Tesco is to serve Britain’s shoppers a little better every day.
We want to become every customer's favourite way to shop, whether they are online or in our stores.
As one of the world’s largest retailers, Tesco has over 6,000 stores globally, successful online and digital businesses and a truly innovative culture. We operate in complex environments and with a volume of data few other companies have access to. We have embraced Data Science solutions full on, exploiting expert techniques to drive the business ambition of becoming a multi-channel leader and we are looking for curious individuals who want to make a mark and contribute to this ground breaking work.
About the Tesco Data Science Team
The Data Science Team sits centrally within Tesco and focuses on solving complex business problems and developing data products that can be deployed at scale to our customers. Our work spans across multiple areas including physical stores, online, fulfilment, marketing, finance and Clubcard and we encourage rotation amongst our Data Scientists so they can apply their skills to different business challenges and gain deeper levels of subject matter expertise. The Data Science Team is made up of multi-disciplined researchers and practitioners with varied backgrounds from both academia and the business world. We strive to foster a culture of innovation by encouraging our Data Scientists to focus a portion of their time on self-driven projects that utilise their expertise to solve real-world challenges that Tesco faces.
Our core work involves:
Developing data products that can be deployed at scale both internally and externally
Supporting the automation of decision making across the business
Optimising processes for key business objectives
Conducting deep dive exploratory analysis to inform strategic decision making
Examples of our previous work include:
Building search and recommender systems for our web portfolio
Optimising space and range within our stores
Optimising delivery routes for our vans
Developing enhanced picking algorithms for our fulfilment centres
Developing measures of long term customer value
Forecasting sales and profit across stores and products
As a Principal Data Scientist (Deep Learning) you will have the following responsibilities:
Own the Deep Learning technical domain and lead the strategic development of Tesco’s Deep Learning capabilities
Seek out and deal with ambiguous, unstructured challenges and find opportunities to shape strategies and resources to solve them
Influence stakeholders on best approaches for Deep Learning, including hardware and software provisioning
Support the development of a Deep Learning infrastructure to enable future scaleability and simultaneous usage by multiple Data Scientists
Evaluate and make recommendations for new tools, techniques and technologies to develop and support evolving business needs
Help to define the strategic direction the team should take, trading off between contradicting priorities
Translate ambiguous business challenges into data science problems and applications
Line manage Data Scientists and mentor and coach the wider team in the best approaches to Deep Learning problems
Communicate complex solutions in a clear, understandable way to non-experts
Work end-to-end on Data Science developments, contributing to all aspects of the project lifecycle which result in productionised data products
Scientifically analyse and evaluate the effectiveness of different approaches to guide future development and track the value created by the team
Manage, guide and mentor the team in their daily work
Promote data science across Tesco, and promote Tesco across the external Data Science community
Skills & requirements
You are an experienced Data Scientist with an advanced level of capability across the Data Science Toolkit (Maths & Stats, Programming, Machine Learning, Communication & Visualisation etc) and an extensive knowledge of the Deep Learning technical domain. You therefore tick the majority of the following points:
Specialist Deep Learning Knowledge:
An expert in machine and deep learning approaches including MLP, RNN, CNN, LSTM, RL etc
Expert knowledge of one or more deep learning libraries (e.g. Tensforflow, PyTorch, Keras, etc.)
Hold a doctoral degree in an area related to Deep Learning or similar equivalent industrial experience
A deep knowledge of state-of-the-art Deep Learning approaches, tools and technologies (GANs, Memory Networks, Attenional models, etc.)
Proven experience in designing and deploying Deep Learning tech stacks within a large organisation
Industrial experience in applying Deep Learning techniques across problem domains (Online, Fulfilment, Logistics, Personalisation, Forecasting etc)
Mathematical & Statistical Understanding:
A strong numerical higher degree in a mathematical, scientific, engineering or computer science discipline with application to Data Science
The ability to use your academic knowledge and commercial experience to tackle specific business problems
An analytical mind set and the ability to use your academic knowledge to tackle specific business problems
Experience with different programing languages and an advanced level in at least one - Python, Java, Scala (or similar)
Experience configuring open source Data Science environments and Deep Learning frameworks
Experience using open source big-data technology such as Apache Hadoop, Spark, Impala, Hive, Pig, MapReduce
Management & Leadership Experience:
Line management experience desirable
Experience of coaching / mentoring others in Deep Learning approaches
You have experience in setting a strategic direction and running complex data science projects with multiple stakeholders
Experience in hiring and building out high performing Data Science teams within large and complex organisations
You can influence senior stakeholders
You have a passion for implementing change
A proven track record of:
Leading Data Science project developments involving multiple stakeholders
Delivering high impact Data Science developments within complex organisations
Generating insights from large data sets containing event records for millions of customers
Partnering with product and technology teams to productionize your developments and roll out at scale
A background or strong understanding of the retail sector, logistics and/or ecommerce would be advantageous but is not required
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