Senior Data Scientist

Senior Data Scientist - Customer Data
Salary: £70,000 - £85,000 (DoE)
Location: Hybrid - 2/3 days per week in a Central London office
Job Reference: J13015

Full UK working rights required - no sponsorship available
Immediate requirement - strong leadership and senior stakeholder skills

We are seeking an experienced, passionate, and highly motivated Senior Data Scientist to play a pivotal role in unlocking the value of customer data and shaping how it is used across the business. This is a senior, highly autonomous position, acting as the number two to the Director of Customer Data, where you will operate at a strategic level while remaining hands-on.

This is an excellent opportunity for a senior-level data scientist who wants real ownership, influence, and visibility, and to be part of a business at a transformative point in its data maturity.

The company has recently implemented a new Customer Data Platform (CDP) and is at a genuinely exciting stage of its data journey. You will be instrumental in helping define best practice, drive advanced analytics use cases, and influence how customer data is activated across products, CRM, and marketing.

While experience with personalisation and recommender systems would be highly desirable, it is not essential. The role is broader in scope and suited to someone who enjoys owning complex customer data problems end-to-end and shaping the direction of advanced data science initiatives.
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The Role
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Act as a senior technical and strategic lead within the Customer Data team, working closely with (and deputising for) the Director.
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Take full ownership of your role, with the autonomy to shape priorities, define approaches, and mould the position to maximise impact.
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Lead the development of advanced machine learning solutions across customer data use cases, including (but not limited to) personalisation, segmentation, propensity modelling, and customer insight.
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Contribute to the evolution and activation of the newly implemented CDP, helping the organisation realise its full value.
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Own the full machine learning lifecycle - from problem definition and model design through to deployment, monitoring, and optimisation.
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Collaborate closely with CRM, marketing, product, engineering, and regional teams to ensure solutions are aligned to business goals.
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Partner with data engineering and platform teams to ensure scalable, robust, and production-ready solutions.
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Act as a senior stakeholder, able to clearly communicate complex concepts and influence decision-making at all levels.
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Skills & Experience
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Strong, hands-on experience in machine learning and applied data science within customer or commercial domains.
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Experience with recommender systems, personalisation, or deep learning is desirable but not essential.
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Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch.
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Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku.
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Good understanding of MLOps practices, including deployment, monitoring, and retraining pipelines.
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Proven ability to work cross-functionally with marketing, CRM, product, and engineering teams.
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Excellent communication, leadership, and stakeholder management skills.
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Experience operating in a global or multi-regional environment is a plus.
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If you would like to hear more, please do get in touch.
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