Data Scientist

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Dunelm

Data Scientist

Private salary

Leicester

Hybrid

Graduate
Junior
Mid
Senior
Leader

Description

Hybrid requirements: This role has flexible working patterns.
Home. There’s no place like it. And there’s no feeling like helping people create the joy of feeling truly at home. At Dunelm, that’s what we do. We’re the UK’s number one choice for homewares because we make home life lovelier for our customers. And the caring and supportive culture we’ve created makes this a place you’ll feel right at home too.
We are the UK’s Number One homewares retailer offering over 85,000 products building a consumer-focused total retail business that delights customers through our multichannel operation.
We are ambitious in our plans to drive further expansion of the business to more customers, shopping more frequently, with more choice, enhanced digital and physical services, and new capabilities to innovate and operate at pace in a fast-changing landscape. In developing the business for the long-term benefit of our customers, we are investing in our supply chain, stores and technology to improve the customer proposition as we move forward.
Are you looking to play a role in the Data & Insight transformation journey of a successful and fast-growing omnichannel retailer? It’s an exciting time at Dunelm, the UK’s biggest homewares brand, as we look to strengthen our talented Analytics and Data Science team in order to achieve our mission to put data and insight at the heart of decision making across the business.
As a Data Scientist, you will play a pivotal role in driving data-informed decision-making across Dunelm by developing and deploying machine learning models that help us better understand and predict customer behaviour online and in-store, and drive business performance through forecasting, optimisation and other advanced analytical techniques. You’ll be responsible for building and maintaining robust, scalable models that underpin how we engage with customers, plan for the future and shape strategic decisions. By combining technical expertise with strong stakeholder relationships, you’ll ensure that our solutions are trusted, understood and drive meaningful business change, always keeping the customer at the heart of everything we do.
What you will be doing:
Design, develop and deploy data science solutions to solve a wide range of business problems, from personalisation to forecasting and optimisation, ensuring outputs are activated by providing insights and recommendations.
Collaborate closely with business stakeholders to align solutions with Dunelm’s strategic goals, while building trusted relationships that empower colleagues to confidently understand, trust and apply data science models in their decision-making.
Adopt a test-and-learn mindset, embracing simplicity, adaptability and iterative development to drive continuous improvement.
Build robust, scalable machine learning pipelines with thoughtful design that supports long-term sustainability and ongoing optimisation.
Champion data science best practices across I&A including version control, unit testing, code review, documentation, model governance and performance monitoring.
Embed responsible AI principles into all solutions, with focus on fairness, transparency and ethical integrity.
Drive innovation and contribute to the vision for data science at Dunelm by exploring emerging tools and techniques and recommending ways to improve the quality and impact of our outputs.
Play an active role in contributing towards the culture of the Insight & Analytics team, as well as being an advocate for data, insight and the voice of the customer across the organisation.
Experience applying data science techniques and building machine learning models in a commercial setting to solve real-world business problems.
Strong proficiency in SQL and Python, with experience in data wrangling, statistical modelling, and machine learning.
Experience using version control tools, such as GitLab.
Strong commercial instinct and business acumen, with the ability to translate business needs into technical solutions and deliver actionable insights.
Creative and curious mindset, with the ability to interrogate data to uncover trends, patterns and underlying drivers.
Excellent communication and collaboration skills, with the ability to simplify complex concepts and explain data science models to non-technical audiences in a clear and engaging way.
Adaptable and proactive, thriving in a fast-paced environment with a test-and-learn mindset.
Keen interest in staying up to date with the latest developments in data science and industry trends
Degree in a quantitative field such as Maths, Stats, Economics, Computer Science, Physics, or equivalent professional experience
Desirable Skills:
Experience deploying machine learning models into a production environment
Experience working with customer, retail or e-commerce data
Behaviours we look for:
Connecting
Team working
Communicating
Being Curious
Adapting
Growth Mindset
Innovating
Taking Responsibility
Being Resourceful

Role tech stack

python
Python
sql
SQL

Culture overview

We're here to help our customers create the joy of feeling truly at home. Join us and you'll find our caring and inclusive culture makes this a place you'll feel right at home too. Learn Wherever you work with us and in whatever role, you'll have every opportunity to keep on learning and keep on growing. Thrive We'll take care of you, and make sure your everyday needs are met, so you can focus on doing a great job and being the best version of you. Belong We embrace diversity in all its forms. We'll celebrate the individual you are and value the unique contribution you bring. Colleague Networks All of our colleagues have the opportunity to be part of our four colleague networks. These are Disability & Neurodiversity, LGBTQ+, Gender Equality and Ethnicity & Race. Each network has co-chairs and an exec sponsor who work closely with us to ensure that we are a workplace where everyone feels supported, celebrated, valued and heard. A chance to give something back We're serious about our role in society. Each of our stores is partnered with a local charity and has its own community Facebook page. And we offer our Pausa Cafés for free to local community groups. We're also proud partners of the mental health charities, Mind (UK and Wales), SAMH (Scotland) and Inspire (Northern Ireland). And each year, we'll give you a day's paid leave to support a charity that matters to you. Work your way We have adapted our ways of working to make sure everyone can feel at home wherever they work. For many colleagues at our Head Office in Leicester and our Central London hub that now includes working on a hybrid basis, combining days in the office with time spent working at home or elsewhere across the business.

Employee benefits

Bonus Scheme
Childcare Vouchers
Flexible Working
Free Parking
Laptop
Learning Allowance
Life Insurance
Pension
Private Healthcare
Share Options
Wellbeing Programme

Office vibe

Birthday Off
City Centre
Hackathons
Office Dog
Open Plan
Social Events

Location

Leadership

John Gahagan
Chief Technology and Information Officer

Tech overview

Our Tech, Digital and Data teams are transforming literally every aspect of our business – from the way we manage and make use of our data, to the relationships we share with our customers. Already, their impact has been felt across the business, and indeed by our customers. But this is just the start and we know there are bigger opportunities ahead. Check out our tech blog for tales behind our talented teams: https://engineering.dunelm.com/ Keep on growing Join us on the tech side and you'll have access to a huge array of learning and development opportunities, including a variety of internally created workshops and externally accredited courses. We also have a substantial tech-specific budget to fund e-Learning licenses, conference visits, resources, and qualifications, plus dedicated mentors, well-being buddies and a wide range of network groups to support you as you progress.

Engineering principles

Agile Process
Code Reviews
Communication and collaboration
Continuous delivery
Continuous Development
Continuous integration
Infrastructure as code
Mentoring
Micro services
Pair programming
Scrum
Test Driven Development
Unit testing

Company tech stack

javascript
JavaScript
aws-lambda
AWS Lambda
graphql
GraphQL
react
React
typescript
TypeScript
jest
Jest
nodejs
Node.js
sql
SQL
python
Python
java
Java
Dunelm
Data Scientist
This role has expired