Data Science Manager

Data Science Manager / Up to £100,000 / Permanent / 2 days a week onsite

We are looking for aData Science Managerto join a growingData Science teamwithin a leading eCommerce organisation. This is an exciting opportunity to drive significant commercial value in a fast-paced environment.

This role will focus on optimising how we present content to customers-ensuring the right products are surfaced at the right time and through the right channels. We are looking for a highly skilled data scientist with a strong technical foundation and excellent communication skills, combined with a passion for applying data science to real-world commercial challenges.

This is a hybrid role, offering a mix of office and remote working. The company's main headquarters are based inLeicestershire, and we welcome applicants from across the UK.

About the Role

Collaborate with teams across the business to understand challenges and own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C-suite executives. Proactively identify opportunities for personalisation and customer experience improvements.

About You

Strong expertise in a broad range ofdata science techniques, including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in(Spark)SQL and Python. Experience with PySpark is beneficial but not required. Experience designing and implementing robusttesting frameworks. Strong analytical skills with keen attention to detail. Excellent communication skills-comfortable presenting insights to a variety of audiences and crafting a compelling data-driven narrative. Effective time management and ability toprioritise multiple projects. Enthusiastic and eager to learn, with a collaborative yet self-sufficient working style.

This is an exciting opportunity to play a pivotal role in shapingdata-driven customer experiencesfor aleading eCommerce business. If you're passionate about data science and looking for a role where you can make a real commercial impact, we'd love to hear from you!