Senior Data Scientist Customer Data

Description

Job Title Senior Data Scientist Customer Data

Location London hybrid working (2/3 days in City offices)

Salary To c£75,000 negotiable DoE

Job Reference J13020

POSITION OVERVIEW

We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. Our client, a leading organisation with a strong focus on customer engagement and data-driven innovation, is looking for an experienced and motivated Data Scientist to join their growing analytics team. This is a fantastic opportunity to work on high-impact projects that shape how customers interact with products and services on a global scale.

The Role

As a Data Scientist, you'll use your technical expertise and curiosity to uncover insights that inform key business decisions. Your day-to-day responsibilities will include:

Building and deploying predictive models to anticipate customer behaviour, from purchasing patterns to life events and brand engagement.
Partnering closely with CRM, marketing, engineering, and data teams to design scalable, data-led solutions that deliver measurable results.
Applying best practices in A/B testing and experimentation to evaluate new initiatives and identify performance improvements.
Leading key projects that translate complex data into clear, actionable insights to guide strategic direction.
Leveraging advanced data visualisation techniques to communicate analytical findings in a compelling and accessible way.
Monitoring and fine-tuning model performance to ensure continuous accuracy and reliability.
Using advanced machine learning techniques (including NLP, deep learning, and time-series forecasting) to solve complex business challenges.
Contributing to the development of robust MLOps processes for deployment, monitoring, and retraining of models.

About You

You're a curious, detail-oriented problem solver who thrives on uncovering insights and translating them into meaningful business impact. You enjoy collaboration, experimentation, and continuous learning. To be successful, you'll bring:

Proven experience as a Data Scientist, ideally within customer analytics, marketing, or CRM environments.
Strong coding skills in Python, with deep familiarity across ML and data libraries (pandas, numpy, scipy, scikit-learn, tensorflow, pytorch).
A broad understanding of machine learning and statistical methods, including NLP, deep learning, Bayesian inference, time-series forecasting, and recommendation systems.
Hands-on experience with cloud platforms such as AWS, GCP, or Azure, and exposure to tools like Databricks or Dataiku.
Practical knowledge of MLOps frameworks for deploying, monitoring, and retraining predictive models.
Excellent communication and storytelling skills, with the ability to simplify complex concepts for non-technical audiences.
A collaborative and innovative mindset, with strong stakeholder management skills and a passion for using data to solve business problems.
Previous experience in a global or multi-regional organisation is a plus.