Analytics & Machine Learning Manager

Analytics & Machine Learning Manager
£56,000 to £66,000 plus great benefits (Work Level 5)
12-month fixed-term contract/secondment
Manchester City Centre (hybrid working)

We’re open to applications from candidates who may require flexible working arrangements. There’ll be an opportunity to discuss your flexible working requirements during the interview process, and at offer stage.

Please be aware Co-op does not offer visa sponsorship for this opportunity

We’re looking for an Analytics & Machine Learning Manager to join our Analytics & Insights team, within our wider Digital Technology & Data team, on a 12-month fixed-term contract in Manchester. In this role, you’ll help us to improve the way we use our data by managing advanced analytics projects from start to finish and offering actionable recommendations backed by strong insights.

As our Analytics and Machine Learning Manager, you’ll lead a team focused on developing and implementing innovative ways that we can use our data. We’re always looking for opportunities to continuously improve the value and quality of insights provided across Co-op, and you’ll play a key role in this. This is a hybrid opportunity, and you’ll be required to spend at least one day each month working from the office.

What you’ll do

• Partner with our Insurance, Funeralcare, and Legal Services business areas to build and deliver a joined-up analytics & insight roadmap
• Manage the design and delivery of complex end-to-end analytics projects & predictive models
• Collaborate with our wider data teams to develop and share advanced analytics techniques, using data from various sources
• Build meaningful relationships with key partners across the business; finding opportunities for analytics to make a genuine impact, driving commercial performance and customer behaviour
• Understand how each project interacts with the wider business, engaging with the relevant partners across Co-op to share valuable, data-driven recommendations
• Manage your team effectively and support them in their development

This role would suit people who have

• Significant experience of designing, delivering, and managing large-scale, complex, end-to-end data projects
• Experience building machine learning models & running statistical tests
• Strong numeracy skills, with a background in maths and statistics (or equivalent)
• Experience writing and developing code with large datasets using SQL, SAS and Python (or equivalent)
• The ability to scope and implement analytical solutions (e.g., segmentation, clustering, regression modelling, measurement)
• Good communication skills, with the ability to clearly present often complex information to a non-technical audience
• Good relationship-building skills, with the ability to collaborate with external partners and colleagues of all levels of seniority

Why Co-op?

If you’ve got the skills and experience we’re looking for, we can offer you a competitive salary and great benefits package which includes 30% off Co-op branded products in our food stores (as well as other discounts on Co-op products and services). You’ll also get:

• A pension with up to 10% employer contributions
• Access to a subsidised onsite gym (at our Manchester HQ)
• Coaching and training to support your career development
• Wagestream – a money management app that gives you access to a percentage of your pay as you earn it
• Grocery Aid – 24/7 access to a range of emotional, financial, and practical support services for you and your family

Building an inclusive work environment

At Co-op, we’re proud to do things a different way. As one of the world’s largest co-operatives, owned by millions of members, community is at the heart of what we do. Since our Co-op was founded in 1844, we’ve had a clear social purpose, and everything we do as a business helps to build a fairer world for our members, customers, colleagues, and communities.

We’re actively building diverse teams and we welcome applications from everyone. If you have a disability, we can make reasonable adjustments to our recruitment process according to your needs.

As part of your application, you'll need to complete an online assessment. This assessment typically takes between 45-60 minutes. If you're a current Co-op colleague, this does not need to be completed.