Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Science Engineer

Tbwa Chiat/Day Inc
London
9 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer (Data Science Team)

Senior Data Scientist/AI Engineer (Remote)

Senior Data Scientist/Ai Engineer (Remote)

Senior Data Scientists/Data Engineers (Palantir, Python, Data Science)

Senior Data Scientists/Data Engineers (Palantir, Python, Data Science)...

Senior Data Scientist

dunnhumbyis the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.

Our mission:to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

dunnhumbyemploys nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro.

We’re looking for a talented Senior Data Science Engineer 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.

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:

  • Strong experience building python packages, installable with pip/conda
  • Experience processing big data, ideally in a Hadoop/Spark environment
  • Experience working with relational databases, and SQL-like operations
  • Experience with Airflow / orchestration tooling is beneficial
  • Understanding of Continuous Integration/Continuous Delivery (CI/CD) & DevOps processes, and experience applying them within an Agile framework is beneficial
  • Experience with containerisation beneficial, including Docker/Podman
  • Experience building highly scalable applications with Spark highly beneficial
  • Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles would be an added advantage

As a Senior Data Science Engineer in Customer Data Science your main roles will be to:

  • Design, develop, and support standalone, reusable python packages that surface novel data science solutions, and are fundamental to best-in-class, global products
  • Build processes and tools to support the research of global science methods, including visual dashboards to showcase their approaches
  • Advocate for and support the development of fundamental engineering skills across the wider team and business

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 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.

Apply for this job

* indicates a required field

First Name *

Last Name *

Email *

Phone *

Location (City) *

Resume/CV *

Accepted file types: pdf, doc, docx, txt, rtf

Employment Title

Select...

Start date year

End date month Select...

End date year

Current role

Will you require sponsorship now or in the future to be able to work in the country the role will be located? * Select...

I confirm that all information I have provided in this application is true and accurate' * Select...

Have you worked at dunnhumby before? * Select...

Are you comfortable with Hybrid mode (3 days office, 2 days work from home)? * Select...

Are you currently located in London? *

Global Diversity and Inclusion Questions

At dunnhumby, we utilise ourdiversity 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.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.