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hackajob

Senior Data Science Engineer

London
Posted 19 days ago
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Hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role.

Dunnhumby Overview

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.

Role Overview

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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

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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.

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Skills

Python
SQL
Machine Learning
Data Processing
Hadoop
Spark
CI/CD
DevOps
Data Science
Analytical Solutions
Collaboration
Mentoring
Data Visualization
Regression
Clustering
Tree-Based Ensembles

Location

London, England, United Kingdom

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