dunnhumby
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
Joining our Customer Data Science team, you’ll work with world class and passionate people to create reusable science modules, ensuring they are productionised, robust and available to the business. You’ll contribute to the research and implementation of new approaches to address complex problems and explore changes to process and tooling to enable research at scale.
What we expect from you
- Experience designing and delivering production-grade analytical Python solutions
- Experience working with relational databases, and SQL-like operations
- Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial
- Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial
- Proven experience implementing CI/CD and DevOps practices, with the ability to improve deployment reliability, testing standards, and release processes
Responsibilities
- Design, build and own standalone, reusable python packages that surface novel data science solutions, and are fundamental to best-in-class, global products and services
- Build processes and tools to support the research of global science methods, including visual dashboards to showcase their approaches
- Translate stakeholder requirements into robust, production-ready solutions
- Collaborate cross-functionally and mentor junior team members to raise engineering capability and impact
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for an Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our applied data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.
You will be working on extending and improving dunnhumby’s personalisation propositions and implementing these with Tesco UK. This is an exciting opportunity that will require you to work closely with the Tesco Personalisation team to deliver scalable results at pace. You will be joining a team of 30+ Applied Data Scientists working on Tesco UK.
What we expect from you
- Ability to deliver complex data science and analytical projects end-to-end, from definition to execution.
- Proven experience applying a range of data science techniques to solve real-world business problems.
- Strong proficiency in Python and SQL; experience with PySpark is a plus.
- Hands-on experience working with large-scale transactional datasets (millions of rows).
- A fast learner with the ability to adopt new data science techniques quickly.
- Experience designing, evaluating and interpreting controlled experiments (A/B and multi-cell tests), including defining success metrics, guardrails, and statistical significance.
- Confidence in presenting insights and recommendations to both technical and non-technical stakeholders.
- A degree in Computer Science, AI, Machine Learning, Statistics, Maths, Economics, Physics, Engineering, Biology, or a related field is advantageous but not essential.
- Knowledge of the UK retail or consumer goods industry is a bonus.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for an Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling, actionable insights—leveraging the best of machine learning alongside human creativity to deliver impactful solutions for clients.
Joining our advanced data science team, you’ll not only investigate, develop, implement, and deploy complex models and applications, but also play a key role in transforming how clients work with data. You will help embed data-driven thinking into their decision-making processes, enabling more informed, strategic, and scalable outcomes.
Working alongside a team of forward-thinking experts, you’ll challenge conventional approaches, shape innovative solutions, and actively redefine how organizations harness data—not just to solve problems, but to fundamentally improve how decisions are made.
What we expect from you
- Degree in Statistics, Maths, Physics, Economics or similar field
- Programming skills (Python and SQL are a must have)
- Analytical Techniques and Technology
- Logical thinking and problem solving
- Strong communication skills
- Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact
- Statistical Modelling and experience of applying data science into client problems.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a talented Research Data Scientist who expects more from their career. It’s a chance to extend and improve dunnhumby’s world class science capabilities. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers and suppliers.
Joining our team, you’ll work with world class and passionate people to apply machine learning and statistical techniques to business problems. You’ll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You’ll have the opportunity to present results to a variety of internal stakeholders and will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules.
This role will be focussed across insight automation and product assortment, with applications of science including identifying new and growing product needs, optimising the mix of products, predicting the impact of changes, product attribute generation and applications of generative AI for product support and insights.
What you'll be doing:
- Create new science-based solutions that can be captured as science modules and applied across clients, with support from senior team members.
- Pick up new machine learning approaches, such as regularised regression, clustering or tree-based ensembles, graph-based approaches, natural language processing and neural network techniques and apply them on client data.
- Perform exploratory data analysis to characterise and visualise datasets
- Extend and develop programming skills, in languages such as Python and Spark, to develop efficient science code for science modules.
- Help identify new opportunities within the Data Science space for future dunnhumby solutions.
- Implement advice from colleagues to resolve challenges.
- Follow Quality Assurance processes, ways of working and meet coding standards.
- Ensure smooth running of your projects, working with senior team members for direction.
- Build strong relationships within the team and with internal stakeholders, ensuring clear and effective communication.
Who you’ll get to work with:
- Within dunnhumby you’ll primarily work with
- Applied and Research Data Scientist teams
- Data Science Engineering teams
- Product and Client teams where required
What you'll need:
- Master’s degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field.
- Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries.
- Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL
- Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas and scikit-learn, along with data visualisation technologies.
- A willingness to present your work to both technical and non-technical audience and to contribute to the wider data science community.
A plus if you also have:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field.
- Experience in retail sector.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a Senior Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our applied data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.
You will be working on extending and improving dunnhumby’s personalisation propositions and implementing these with Tesco UK. This is an exciting opportunity that will require you to work closely with the Tesco Personalisation team to deliver scalable results at pace. You will be joining a team of 30+ Applied Data Scientists working on Tesco UK.
What we expect from you
- Ability to lead and deliver complex data science and analytical projects end-to-end, from definition to execution.
- Proven experience applying a range of data science techniques to solve real-world business problems.
- Strong proficiency in Python and SQL; experience with PySpark is a plus.
- Hands-on experience working with large-scale transactional datasets (millions of rows).
- A fast learner with the ability to adopt new data science techniques quickly.
- Strong experience designing, evaluating and interpreting controlled experiments (A/B and multi-cell tests), including defining success metrics, guardrails, and statistical significance.
- Confidence in presenting insights and recommendations to both technical and non-technical stakeholders.
- A degree in Computer Science, AI, Machine Learning, Statistics, Maths, Economics, Physics, Engineering, Biology, or a related field is advantageous but not essential.
- Knowledge of the UK retail or consumer goods industry is a bonus.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby