Lead Data Scientist - Hyper-Personalisation & CX

Match Digital; City Of London; On-site; GBP 85,000 - 100,000; Full time

Job summary

A leading digital recruitment agency in Central London is seeking a Lead Data Scientist to join their global customer experience team. This role focuses on leveraging advanced machine learning techniques to deliver personalized brand experiences. The ideal candidate will have significant experience with AI tools, strong mathematical skills, and a passion for innovation in the data landscape. The position offers flexible working conditions, private healthcare, and a competitive salary package.

Benefits

Flexible working environment

Private healthcare

Competitive pension

26 days holiday

Car lease scheme

Cycle to work schemes

Qualifications

• Considerable experience with AI, Machine and Deep learning tools.
• Ability to translate research into business applications of predictive analytics.
• Experience using neural networks, especially Machine and Deep Learning.

Responsibilities

• Champion Machine and Deep Learning, providing technical leadership.
• Drive research and prototyping activities with advancements in ML.
• Craft and maintain business data architecture for CX data.

Skills

AI, Machine and Deep learning tools (Python, Tensor Flow, Spark etc.)

Advanced Maths skills (Bayesian statistics, multivariable calculus, linear algebra)

Translating research into practical business applications

Solution design in data analytics pipelines

Experience with neural networks and ML

Advanced skills in Data Modelling and Algorithm Design

Programming languages (Python, Java, C/C++, R)

Design and deployment experience (Tensor Flow, Spark ML)

Consultative style in project and stakeholder management

Passion for AI, Machine & Deep Learning

Job description

A leading digital recruitment agency in Central London is seeking a Lead Data Scientist to join their global customer experience team. This role focuses on leveraging advanced machine learning techniques to deliver personalized brand experiences. The ideal candidate will have significant experience with AI tools, strong mathematical skills, and a passion for innovation in the data landscape. The position offers flexible working conditions, private healthcare, and a competitive salary package.