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Hand and Spear

Data Scientist

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We are looking for an experienced Data Scientist to join our growing team. The ideal candidate will have a strong background in statistical modeling, machine learning, and data visualization. You will be responsible for analyzing large datasets, developing predictive models, and communicating insights to stakeholders.

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 and implement machine learning models
  • Analyze and interpret complex data
  • Develop data visualization tools
  • Collaborate with cross-functional teams
  • Communicate findings to technical and non-technical audiences

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Qualifications:

  • Master's or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Mathematics)
  • 3+ years of experience in data science
  • Proficiency in Python or R
  • Experience with SQL and databases
  • Strong understanding of statistical modeling and machine learning algorithms
  • Excellent communication and presentation skills
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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

Statistical modeling
Machine learning
Data visualization
Python
R
SQL
Databases
Communication
Presentation skills
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