Data Science Manager

Next; Leicester; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Data Science Manager to lead a dynamic team in the eCommerce division. This role offers the opportunity to work with large datasets, employing advanced data science techniques to enhance customer experiences and drive commercial success. You will collaborate with various teams to solve business problems and present insights to stakeholders, including the CEO. With a focus on flexibility, this position allows you to thrive in a supportive environment while contributing to the growth of a leading retail brand. If you're passionate about data and eager to make an impact, this role is perfect for you.

Benefits

Flexible working hours

Inspiring office environment

Qualifications

• Solid technical understanding of data science techniques and tools.
• Experience in Python programming and data analysis is essential.

Responsibilities

• Interrogate large volumes of data to collect data for modelling.
• Use machine learning to build models predicting customer behavior.

Skills

Data Science Techniques

Python

Machine Learning

Data Analysis

Communication Skills

Education

Degree in Data Science or related field

Tools

PySpark

Job description

We are looking for a Data Science Manager to join our growing Data Science team at Next! The role sits within the wider eCommerce division, tasked with delivering significant commercial value in a fast-paced environment.

Let’s talk numbers. When it comes to UK retail, it’s hard to find a bigger name. We sell thousands of items an hour and are expanding our e-commerce business by the second. For anyone in Data, this is the place to learn, grow, and thrive.

About the team

eCommerce Data provides the department and the business the means to see what is working and what is not by drawing data and analysing patterns of shopping on our site and in general.

About the role

As the Data Science Manager, you will focus on ensuring we put the very best content in front of each customer, surfacing the right product at the right time through the right channel. What else is involved?

1. Work with teams from around the business to understand the business problem and own the technical solution, identifying further opportunities to deliver value along the way.
2. Liaise with data engineering and software development teams to provide technical requirements for our team’s work, holding these teams to account on delivery timelines.
3. Interrogate large volumes of data from a range of sources, including transactional, demographic and online, to collect data for modelling.
4. Use machine learning to build models that predict customer behaviour and help us identify optimal content to show to each customer - what, when and how to show this content.
5. Design and execute tests that confirm your commercial hypotheses.
6. Present your team’s work to a range of stakeholders, up to and including regular meetings with the CEO.
7. Proactively identify opportunities for personalisation and improvements to the customer experience.

We are looking for someone who has a solid technical understanding of a broad range of data science techniques, combined with great communication skills and an enthusiasm for delivering data science in a commercial environment. Experience using Python is essential and PySpark is beneficial but not essential. If this sounds like you, this is the role for you - and your career!

You’ll be doing all this from our Leicestershire Head Office. Our offices are inspiring, yes. But we understand that life happens. So, we’re big on making sure your work works for you which is why we offer flexible working.