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!