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About the Role

In Customer Data Science, we build systems for personalized customer decisioning, impacting millions of customers. This role focuses on personalizing customer experiences, developing new capabilities, and optimizing existing technology using machine learning and AI.

Responsibilities

• Work on the technical development of machine learning solutions and pipelines.
• Iterate modelling and optimisation capabilities, identifying appropriate techniques.
• Support the maintenance and optimisation of existing models.
• Align to best practice across modelling, experimentation, deployment, and model lifecycle management.
• Collaborate with stakeholders to understand and deliver on their needs.
• Work with engineering teams to source data and deploy robust solutions.
• Bring new ideas for future approaches, including state of the art techniques.
• Understand how the business works, including supporting stores during peak trading periods.
• Actively contribute to the Data and Analytics community, providing insights on new techniques.

Requirements

• Experience in Data Science roles with evidence of solving complex problems end-to-end.
• Record of building systems that run in production and understanding of their value.
• Ability to understand commercial reality as well as technical rigour.
• Strong ability to communicate ideas to audiences of varying technical background and seniority.
• Strong grounding in statistical modelling and machine learning, such as predictive modelling at scale, unsupervised learning, causal inference, experimentation, optimisation and decisioning.
• Strong understanding of the "how" behind the algorithm; ability to select the right technique for a given objective and avoid pitfalls.
• Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics.
• Extensive programming ability across Python and strong ability to use SQL.
• Proven experience of developing complex solutions in a corporate environment.
• Understanding of working with production codebases, such as version control, CI/CD, and batch processing.
• Strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.
• Previous experience in Data Science roles.
• Solid understanding of working with production codebases, such as version control and CI/CD.

Skills

• Machine learning
• Python
• SQL
• Statistical modelling
• Predictive modelling
• Unsupervised learning
• Causal inference
• Experimentation
• Optimisation
• Decisioning
• Version control
• CI/CD
• Batch processing

Location

• London
• Home

Work Type

• Hybrid Working

Experience Level

• Data Science roles

About the Company

• In Customer Data Science (part of the Data Science Hub), we build the systems behind personalised customer decisioning – from customer segmentations to offer optimisation.
• We impact millions of customers, bringing them value and earning their loyalty.
• This team already personalises all of the offers you see in the Nectar app, but now we’re growing in ambition and scale.
• We aim to personalise everything that matters – offers, online recommendations, digital experiences, communications.
• And we aim to achieve this using our incredible data asset, our rich customer understanding, and state of the art machine learning and AI.