Data Science Manager

Manchester Digital; Crewe; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

Join a dynamic eCommerce organization as a Data Science Manager, where you'll leverage your expertise in data science to drive significant commercial value. This hybrid role offers a unique opportunity to collaborate with cross-functional teams, optimise content presentation, and apply advanced machine learning techniques. You'll play a pivotal role in shaping data-driven customer experiences, presenting insights to senior stakeholders, and identifying new opportunities for improvement. If you're passionate about making a real impact in a fast-paced environment, this is the perfect opportunity for you.

Qualifications

• Strong expertise in data science techniques including regression and machine learning.
• Proficiency in SparkSQL and Python, with experience in testing frameworks.

Responsibilities

• Collaborate with teams to identify technical solutions and deliver value.
• Analyse data to build predictive models and personalise customer experiences.

Skills

Data Science Techniques

Regression

Classification

Machine Learning

SparkSQL

Python

Deep Learning

Testing Frameworks

Analytical Skills

Time Management

Tools

PySpark

Job description

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

We are looking for a Data Science Manager to join a growing Data Science team within 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 in Leicestershire, 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 of data 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 robust testing 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 to prioritise 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 shaping data-driven customer experiences for a leading 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!