Rodeo
Get started

Ventula Consulting

Data Scientist - Financial Services - London - £700p/d Inside IR35

London
£90 – £95/hr
Posted about 17 hours ago
Sign up to applySee more jobs like this
Get notified of more jobs like this · No spam, ever

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

Data Scientist – Financial Services - London (Hybrid) - £700p/d Inside IR35

Global Financial Services Client now require a Data Scientist to join a high-performing Product Analytics & Innovation team building market-leading credit risk scores, predictive models, and AI-driven commercial data products on modern cloud infrastructure.

The Data Scientist will:

  • Independently prepare complex datasets, run exploratory analysis, and build predictive models, risk scorecards, and decisioning tools
  • Drive commercial product innovation — identify market gaps, prototype algorithms, take concepts to market-ready products
  • Design and optimise data pipelines integrating large volumes of disparate commercial data
  • Translate data assets into actionable business strategy and long-term analytics roadmap
  • Apply advanced statistical/ML methods to uncover patterns in high-dimensional data
  • Solve cross-domain problems (commercial risk, business failure, fraud detection) with engineering, product, and strategy teams
  • Communicate complex findings clearly to technical and non-technical stakeholders
  • Maintain data quality, governance, validation, and regulatory compliance standards
  • Stay current with cloud capabilities (primarily GCP) and modern analytical tooling
  • Mentor junior data scientists and lead code/quality reviews

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.

See breakdown
Save jobNot relevant
View details

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.

See breakdown
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.

See breakdown
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.

The ideal Data Scientist will have the following experience:

  • STEM degree (Master's preferred)
  • Proven experience working in a Data Scientist or quantitative modeling role
  • Extensive experience with commercial data assets (e.g. business registry, trade credit, or bureau data)
  • Strong commercial data interpretation, auditing, and validation skills
  • Python and SQL (Unix/shell scripting a plus)
  • Foundational credit risk modeling / scorecard lifecycle knowledge (sampling, WoE, scaling)
  • Git and CI/CD workflow experience
  • Hands-on cloud development experience (GCP preferred)
  • Exposure to ML methods (XGBoost, Random Forests, Neural Networks) and traditional stats (Logistic Regression)
  • Awareness of data security, governance, and model risk management standards

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

Nice to Have

  • UK commercial lending/regulatory knowledge (PRA/FCA, Consumer Duty, Basel 3.1)
  • Experience building/validating commercial credit scorecards
  • Exposure to Open Banking, transactional data, bureau feeds, ESG data
  • Track record of independently pitching and delivering analytical products

Rate: £700p/d Inside IR35

Location: London (hybrid)

Duration: 6 months rolling

If you're a skilled Data Scientist with the required skills, we are keen to hear from you - please apply!

Trusted by 25,000+ job seekers

“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

Get help applying for this job

Skills

Python
SQL
GCP
Credit Risk Modeling
Machine Learning
Predictive Modeling
Git
CI/CD
XGBoost
Random Forests
Neural Networks
Logistic Regression
Data Pipeline Design
Exploratory Data Analysis
Unix Shell Scripting
Model Risk Management

Location

London, England, United Kingdom

Sign up to applySee more jobs like this