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Dojo

Data Scientist

London
Posted 1 day ago
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We’re reinventing payments.

In less than four years, Dojo disrupted the market to become the largest and most loved acquirer in the UK. Our payments infrastructure, purpose-built for in-person commerce, is game changing.

Now, over 150,000 customers across four countries choose to transact billions with us every year. But we’re just getting started.

Our people are the driving force behind our success. They are our greatest investment and our ultimate competitive advantage. We hire exceptional people and give them the autonomy, trust, and ownership to thrive. The results take care of themselves.

The role

A Machine Learning Data Scientist designs, builds, and deploys the scalable models and algorithmic systems powering Dojo’s automated decisions—from fraud prevention to operational efficiency. Where off-the-shelf scripts promise easy answers, your job is to build systems that survive production: balancing statistical rigor with clean software engineering to ensure our algorithms are robust, interpretable, and scale flawlessly.

On our Builder track, you'll focus on deep algorithmic execution, numerical optimization, and software craft. You're the person the team turns to when a prediction or optimization problem is hard, standard machine learning isn't enough, or a model degrades in the wild. You protect the integrity, reliability, and long-term health of our live production systems.

What You Will Do...

  • Own workstreams: Drive technical projects from ideation to production, anticipating domain problems and aligning your roadmap with key commercial levers.
  • Design pragmatic systems: Tackle complex modeling problems and design end-to-end ML systems, prioritizing robustness and maintainability over over-engineering.
  • Formulate optimization solutions: Build numerical optimizers (LP/MIP), tune solvers, and design custom heuristics when exact objective functions or data are scarce.
  • Maintain production rigor: Take responsibility for live models, monitoring for drift, preventing train/serve skew, and debugging subtle mathematical failures.
  • Write production-grade code: Write well-structured, tested Python and SQL at scale, using Databricks and advanced data manipulation techniques.
  • Drive AI workflows: Safely leverage AI tools to boost development productivity, while rigorously verifying output logic and optimization reasoning.

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.

What You Will Bring...

  • Mathematical grounding: Strong statistical background to reason about bias/variance and model evaluation, diagnosing subtle failures from first principles.
  • Optimization & heuristics: Experience formulating business constraints into numerical optimization problems and designing custom heuristic algorithms.
  • Python & SQL craft: Mastery of Python, Databricks, and the modern ML ecosystem, combined with writing highly efficient, scalable SQL.
  • Production MLOps: Practical experience maintaining live models, including CI/CD pipelines, reusable feature architectures, and drift detection.
  • Technical honesty: Commitment to evaluating models rigorously using metrics reflecting true business value, and communicating limitations transparently.
  • Collaborative leadership: Track record of owning components end-to-end, cutting through ambiguity, mentoring junior peers, and setting engineering standards.

Dojo home and away

We believe our best work happens when we collaborate in-person. These “together days” foster communication, drive innovation and spark our brightest ideas.

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That's why we have an office-first culture. This means working from the office 4+ days per week.

With offices across Europe, we know a thing or two about staying dynamic. Need deep focus? Head to a quiet zone. Big ideas? Collaboration spaces have you covered. Just here for a catch-up? Our social hubs make it easy. Do work that counts, in spaces made for you.

Question: what’s curious, relentless, and customer obsessed?

If you’re keen to know the answer, you’re a third of the way to meeting our Dojo values.

If the following speak to you, let’s talk:

  • You’re curious. You have a real desire to learn and create.
  • You’re relentless. You keep going even when it’s easier not to.
  • You’re customer-obsessed. You know how important customers are to what you do.

Diversity, equity, and inclusion at Dojo

From local bakeries to well-known eateries, Dojo payments serve over 150,000 places across the UK.

And something that’s fundamental to creating relevant, innovative products at Dojo is to build teams to reflect the diversity of the businesses we serve.

Our drive to improve diversity, equity, and inclusion is closely linked to helping employees thrive and innovating for better customer experiences.

If you care about your work, you’re curious, and you think customer-first, you have a place at Dojo.

To make sure you’re the best you can be throughout the recruitment process, let us know if you need any extra adjustments to help you thrive.

Visit dojo.careers to find out more about our benefits and what it’s like to work at Dojo, or check out our LinkedIn and Instagram pages.

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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Machine Learning
Python
SQL
Databricks
Numerical Optimization
MLOps
Statistical Modeling
CI/CD Pipelines
Linear Programming
Mixed Integer Programming
Feature Architecture
Drift Detection
Software Engineering
Algorithmic Design
Model Evaluation
Heuristic Algorithms

Location

London, England, United Kingdom

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