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Sparta Global

Information Technology Consultant - Data Science/AI/Machine Learning

London
Posted about 20 hours ago
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About the Role

Graduates in Computer Science / Artificial Intelligence / Machine Learning / Data Engineering / Data Science

Location: London (Applicants must be based in London or within a one-hour commute)

Start Date: TBC

Are you a recent graduate in Data/AI/Machine Learning or looking to change careers? Do you have a passion for technology and problem-solving? Sparta Global is looking for ambitious individuals to join our award-winning training programme and kick-start a career in technology consulting.

Following successful completion of our training, you'll be deployed to one of our fortune 500 clients in London, where you'll gain hands-on experience working on real projects alongside experienced professionals.

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'll do

  • Complete our fully paid, industry-leading training programme.
  • Develop technical, consulting, and professional skills.
  • Work collaboratively within agile teams to deliver innovative technology solutions.
  • Continue your learning and development with ongoing support from Sparta Global.

What we're looking for

  • Recent graduates from any Data Science/Data Engineering/Machine Learning/Artificial Intelligence course, or individuals looking to change careers, with a background in these disciplines.
  • Applicants based in London or within a one-hour commute.
  • A genuine interest in technology and continuous learning.
  • Strong communication and problem-solving skills.
  • Adaptability, resilience, and a collaborative mindset.
  • Right to work in the UK

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What we offer

  • Award-winning training with no prior technical experience required.
  • A structured career path with continuous learning and development.
  • Ongoing mentoring and support throughout your career.
  • Competitive salary and benefits package.

If you're ready to start an exciting career in technology, we'd love to hear from you.

Please note: We have immediate interview availability

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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.”

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Skills

Data Science
Artificial Intelligence
Machine Learning
Data Engineering
Technology Consulting
Problem Solving
Communication
Agile Methodology
Adaptability
Resilience

Location

London, England, United Kingdom

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