Lead Data Scientist

Central London, London

£85,000 – £100,000 + 8% bonus + benefits

This is a rare opportunity for a Lead Data Scientist to join a global customer experience (CX) team and deliver hyper-personalised brand experiences that respond to rapidly evolving customer needs.

You’ll get to leverage the latest advances in machine and deep learning, predicting the best actions for customers and designing a next-gen data platform for CX.

The role of a Lead Data Scientist:

• Champion Machine and Deep Learning, serving as the SME and ensuring that the appropriate environments and tools are made accessible to the Data & Analytics teams.
• Drive research and prototyping activities that leverage advancements in Machine Learning.
• Work with Product, Brand Experience and User Experience teams; demonstrate use cases for hyper-personalisation, behavioural segmentation and intelligent site navigation.
• Craft and maintain business data architecture for CX data, maintain the advanced analytics backlog.
• Collaborate with Analytics and Conversion Rate Optimisation teams, executing acceleration projects that benefit from Big Data and Machine Learning models.
• Design frameworks to optimise precision marketing and lead management.
• Stay in tune with the current data landscape and target state, building tactical solutions that bridge any gaps.
• Provide technical leadership and mentorship to the wider team.

What experience do I need to demonstrate?

• Considerable experience with AI, Machine and Deep learning tools (Python, Tensor Flow, Spark etc.).
• Advanced Maths skills, such as Bayesian statistics, multivariable calculus and linear algebra.
• You can translate research into practical business applications of predicative analytics.
• Solution design experience, architecting and explaining data analytics pipelines and flows.
• Experience using neural networks, especially Machine and Deep Learning.
• Advanced skills in Data Modelling and Algorithm Design.
• Experience with various programming languages, e.g. Python, Java, C/C++, R.
• Design and deployment experience using Tensor Flow, Spark ML, CNTK, Torch or Caffe.
• A consultative style when it comes to project management and stakeholder management.
• A deep-rooted passion for AI, Machine & Deep Learning.

Some of the benefits

• The chance to develop with a global, multicultural team working on a fascinating customer experience transformation programme.
• A flexible working environment and the ability to work from home / flexible hours.
• Private healthcare and private dental insurance.
• Competitive pension, 26 days holiday (excluding bank holidays).
• Car lease scheme, season ticket loan and cycle to work schemes.

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