Lead Data Scientist

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.

Match Digital specialises in connecting talented individuals with businesses in the digital, tech, media and marcomms industries.