Insight International (UK) Ltd
Data Scientist

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Role: Solutions Architect
Location: London, UK
Mode: Hybrid
Type: Contract Inside IR35
Skills and domain required: GCP and Banking
Job Summary
We are seeking an experienced Data Scientist with hands-on expertise in Google Cloud Platform (GCP) to join a leading banking client. The ideal candidate will leverage advanced analytics, machine learning, and cloud-native technologies to develop predictive models, generate actionable insights, and support strategic business decisions across risk, fraud, customer analytics, and regulatory initiatives.
The role requires close collaboration with business stakeholders, data engineers, and technology teams to build scalable, production-ready machine learning solutions within a cloud-based environment.
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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 breakdownIt 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.
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.
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.
Key Responsibilities
- Design, develop, and deploy machine learning and statistical models to solve complex business problems.
- Analyze large structured and unstructured datasets to identify trends, patterns, and business opportunities.
- Build predictive models for customer analytics, fraud detection, credit risk, AML, and operational efficiency.
- Develop end-to-end ML pipelines on Google Cloud Platform (GCP).
- Collaborate with Data Engineering teams to build scalable data processing pipelines.
- Deploy and monitor machine learning models using GCP MLOps capabilities.
- Perform feature engineering, model validation, and performance optimization.
- Work with stakeholders to translate business requirements into analytical solutions.
- Present analytical findings and recommendations to technical and non-technical audiences.
- Ensure compliance with banking security, governance, and regulatory standards.
- Support model monitoring, retraining, and continuous improvement initiatives.


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