Data Scientist

London / Manchester
Analytics – Data Science /
Permanent /
Hybrid
Our Ways of Working Principles:

We believe that most of us do our best work when we work together, but we know that everyone works in different ways, and quite frankly, has other commitments and responsibilities outside of work.
As we further adjust  to hybrid working, we want to take what we've learnt from working remotely and keep the flexibility that's enabled us to thrive and keep driving our business forward.

We have some core principles which support us in this:
Do what’s right
Trust & give permission
Delivery matters

We understand ways of working can look different based on your role, team and you as an individual so we are here to support and discuss this with you during the interview process.

Work with us

At Moonpig Group our mission is to help people connect and create moments that matter. We are an international group, comprising the Moonpig, Buyagift and Red Letter Days brands in the UK and the Greetz brand in the Netherlands.
We were founded with a goal to disrupt the traditional greetings industry. Two decades on, we’re an established leader within the online cards and gifting market, offering a wide range of products to customers across the world.
Moonpig is an iconic brand and innovator, with clear values (read more about our values here!). These values set our teams and our business up for success in an environment that’s fun, supportive and challenging. They’re the glue that binds us together and we think of them as a platform to help us deliver our best work. You have every chance to drive impact here at Moonpig, and most importantly, we genuinely want you!

What You’ll Be Doing

Data Science is becoming an increasingly important value driver across the business. As such, you’ll have the chance to work with a diverse range of stakeholders and business functions. This could be anything from finance to product, to marketing; we add value wherever we can! Because the Data Science team is small, we have a significant breadth and depth of opportunity as a team. This means that no matter which function a project is for, you can be sure that it leads to a tangible impact. A wide range of stakeholders ladders up to a wide range of projects. Such projects could provide opportunities to test and develop skills across forecasting, NLP, predictive modelling, clustering, causal inference, and many more classes of project.No matter what the project, you will have the opportunity to take a leading role in its delivery. From scoping the project with the relevant business leads to ensuring the solution is fit for purpose and achievable. You'll be responsible for delivering the project and ensuring a consistent experience for our end-user, and through each step, evangelising and communicating.

Key Responsibilities:

    • Work across diverse projects in the area of Personalised Content & Promotions
    • Working collaboratively with teams in Product, Engineering, MLOps, Commercial & Marketing to develop solutions
    • Develop end-to-end solutions from conception & data collection through to integration with customer facing systems to be tested
    • Develop high quality, modularised code with a view to contributing to a codebase which can be shared between projects
    • Oversee the experimentation design, implementation & write-up for productionised initiatives
    • Undertake and actively provide code reviews on colleagues' work
    • Look to promote and advocate your work and that of the Data Science function at different levels within the business
    • Mentoring and providing advice to junior colleagues & wider members of the Data Team
    • Be continuously researching around advancements in the area of personalisation and broader, to bring new ideas to the function. This will be through L&D as well as attending conferences

You'll be a great addition to the team if you:

    • Demonstrable experience within Data-Science with practical application within several of the following: Predictive modelling, clustering, NLP, photoscience, recommendations, dimensionality reduction & feature engineering, model deployment, forecasting, causal inference.
    • Excellent skills with Python and SQL.
    • Experience with version control workflows (Git)
    • Excellent stakeholder management.
    • Create a compelling narrative throughout the project lifecycle.
    • Strong commercial acumen - we want someone who can understand stakeholders needs/reservations and present accommodating solutions

Bonus:

    • Experience of working in a fast-paced eCommerce or Retail environment
    • Experience working on personalisation initiatives using techniques such as uplift modelling
    • Experience of AB and MVT experimentation, in particular building roadmaps and test design 
    • Graduate degree in Statistics, Mathematics, Economics, Computer Science, or related technical field
    • Experience using AWS ML deployment infrastructure; Sagemaker
Want to hear more? 
Find out more about Moonpig Group and what it has to offer here!
 
Moonpig’s Commitment to Equality, Diversity and Inclusivity 

At Moonpig Group, we’re committed to creating an inclusive and caring culture with brilliant people who feel a real sense of belonging. We welcome and celebrate all diverse backgrounds to Moonpig Group, from working parents who need flexibility with their hours to individuals who are neurodiverse and prefer to work a certain way. 
We’re proud to have several employee-led committees within our organisation, including the LGBTQ+ Committee, The Gender Balance Committee and our Moonpig Against Racism Committee. 
We’ll continue to push for diversity and that sense of belonging so that all Moonpig Group employees feel safe and comfortable to be their true authentic self at work.