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Franco Manca

Data Scientist

Posted over 2 years ago
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We are seeking a talented Data Scientist to join our dynamic team. The ideal candidate will have a strong background in statistical modeling, machine learning, and data analysis.

Responsibilities:

  • Design, develop, and implement statistical models and machine learning algorithms.
  • Analyze complex datasets to identify trends, patterns, and insights.
  • Collaborate with cross-functional teams to define data-driven solutions.
  • Communicate findings and recommendations to technical and non-technical audiences.
  • Stay up-to-date with the latest advancements in data science and machine learning.

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.

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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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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.

Qualifications:

  • Master's or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Mathematics).
  • Proven experience as a Data Scientist or in a similar role.
  • Proficiency in programming languages such as Python or R.
  • Strong understanding of machine learning techniques and algorithms.
  • Experience with data visualization tools (e.g., Tableau, Matplotlib).
  • Excellent communication and problem-solving skills.

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Preferred Qualifications:

  • Experience with big data technologies (e.g., Spark, Hadoop).
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
  • Experience in [specific industry, e.g., finance, healthcare].
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Skills

statistical modeling
machine learning
data analysis
Python
R
data visualization
Tableau
Matplotlib
Spark
Hadoop
AWS
Azure
GCP

Location

53 Bedford Hill, London SW12 9EZ, UK

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