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Campion Pickworth

Data Scientist

London
Posted about 13 hours ago
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Campion Pickworth is partnering with a leading international professional services firm to hire a Data Scientist – Senior Consultant to join a high-performing Analytics & Data Science team.

This is an opportunity to work at the forefront of Data Science, Machine Learning, Cloud Technologies, and Generative AI, helping major organizations unlock value from their data and solve complex business challenges. You'll collaborate with talented specialists, work with modern technologies, and play a key role in delivering innovative solutions across a diverse project portfolio.

What You’ll Do:

  • Develop and deploy advanced analytics, data science, machine learning, and agentic AI solutions across a variety of use cases
  • Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets
  • Contribute to the design and implementation of scalable data science workflows and best practices
  • Collaborate with cross-functional stakeholders to understand business needs and translate them into effective analytical solutions
  • Support multiple projects from exploration through to deployment within cloud-based environments
  • Maintain high standards of code quality, documentation, and testing within a DevOps-oriented workflow
  • Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative AI and large language models

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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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 We’re Looking For:

Essential Skills & Experience

  • Proven experience solving complex, real-world problems using data science and analytics
  • Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics
  • Deep understanding of machine learning methods and their practical application
  • Experience delivering multiple end-to-end data science projects across varied data types and business domains
  • Familiarity with DevOps practices and tools such as Git
  • Cloud experience (e.g., Azure, AWS) and working with ML platforms and services
  • Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders
  • Ability to align analytical outputs with broader business objectives
  • Someone with 1-3 years of industry experience

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Desirable Skills

  • Experience using R and NLP or deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs)
  • Familiarity with generative AI and prompt engineering
  • Experience with Azure Databricks, MLflow, Azure ML services, Docker, or Kubernetes
  • Experience working in large, complex organizations or regulated industries

This role is unable to provide sponsorship

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Skills

Python
R
Azure
Databricks
SQL
Power BI
Tableau
Machine Learning
Generative AI
Large Language Models
DevOps
Git
Probability
Statistics
NLP
Deep Learning

Location

London, England, United Kingdom

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