Senior Applied Data Scientist London

dunnhumby Ltd.; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Healthcare & Protection

Pension

Wellbeing

Lifestyle Benefits

Time Off

Recognition Programs

Job summary

dunnhumby Ltd. is seeking a Senior Applied Data Scientist to join the Retail Insight team. You will distill complex problems into actionable insights using world‑leading machine learning techniques and human creativity to deliver high‑impact client solutions.

You'll work with Tesco and other partners, developing scalable analytics that translate data into measurable business value, shaping new workstreams, and collaborating with cross‑functional teams to drive outcomes.

Qualifications

• Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field.
• Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous.
• Experience with version control tools (e.g. GIT).
• Solid understanding of analytical technologies, tools, and techniques.
• Excellent logical thinking and problem-solving abilities.
• Strong communication skills, with the ability to explain complex concepts clearly to non-technical audiences.
• Proven experience in statistical modelling and applying data science solutions to real client problems.
• A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact.
• Comfortable building new workstreams from the ground up, including defining direction, structure, and stakeholder alignment.
• Background in retail analytics is advantageous.

Responsibilities

• Design and deliver models, algorithms and insights that answer hard questions in retail.
• Distil complex problems into meaningful, actionable insights.
• Develop, implement and deploy a range of complex applications and components for clients in Tesco.
• Collaborate with client leadership to deliver reusable, scalable solutions with measurable value.
• Drive change and redefine how organisations harness data.

Skills

Python

SQL

PySpark

GIT

Statistical modelling

Data science

Communication

Education

Bachelor's degree in Statistics/Mathematics/Physics/Economics

Job description

dunnhumby is the global leader in Customer Data Science, helping the world\'s most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts across Europe, Asia, Africa and the Americas, we partner with iconic businesses like Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro to turn data into growth, innovation and measurable value for their customers.

Applied Data Science

Our Applied Data Science team turns dunnhumby\’s analytical capability into real commercial impact for our clients. Working directly with retailers and brands, we design and deliver the models, algorithms and insights that answer the hardest questions in retail — from personalisation and basket analysis to pricing, promotions and customer loyalty. Every insight we produce is grounded in real customer data and built to make a measurable difference.

About the Role

We\’re looking for a Senior Applied Data Scientist who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients.

Joining our Retail Insight team, you\’ll investigate, develop, implement and deploy a range of complex applications and components for our clients in Tesco, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them.

We work collaboratively with our client leadership team and with our clients , using all of the tools and techniques available to us to deliver insight and build solutions that are re-usable, scalable and deliver measurable value. You\’ll drive change, shape innovative solutions, and actively redefine how organisations harness data.

What We\’re Looking For

• Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field.
• Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous.
• Experience with version control tools (e.g. GIT).
• Solid understanding of analytical technologies, tools, and techniques.
• Excellent logical thinking and problem‑solving abilities.
• Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences.
• Proven experience in statistical modelling and applying data science solutions to real client problems.
• A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact.
• Comfortable building new workstreams from the ground up, including defining direction, structure, and stakeholder alignment.
• Background in retail analytics is advantageous.

You\’ll Thrive If You…

• Enjoy balancing technical depth with commercial impact.
• Like exploring new analytical approaches and challenging established thinking.
• Take ownership of complex problems and see them through to delivery.
• Are motivated by helping others develop and succeed.

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.

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 your recruiter know what adjustments would help.

• Healthcare & Protection: Flexible allowance, private medical insurance through Vitality, life assurance, partner life assurance, income protection and critical illness cover.
• Pension: Aviva pension scheme with up to 7.5% employer matching.
• Wellbeing: Access to the Wellness Hub and confidential employee assistance support services.
• Lifestyle Benefits: Car leasing, Cycle to Work scheme, technology purchase options and additional voluntary benefits.
• Time Off: Annual holiday allowance, public holidays, the option to purchase additional leave, loyalty days and a birthday day off.
• Additional Recognition: Long service awards and Talent Scout referral rewards.

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.

Global Diversity and Inclusion Questions

At dunnhumby, we utilise our diversity of thought as our competitive edge .

We are proud of our diversity and committed to making dunnhumby an even more inclusive place to work that we can be proud of.

Our diversity and inclusion work is designed tocultivate a culture of belonging,where every dunnhumbian feels safe to bring their whole self to work, where everyone is welcome and we practice what we preach.

We have a full D&I strategy to implement this long-term behaviour change; in addition, we have five employee-led network groups to support colleagues in the areas of gender, sexual orientation, multiculturalism, mental health and wellbeing, and family.