Infused Solutions
Data Scientist

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Job Title: Data Scientist
Location: London (Hybrid)
Type: Permanent
Overview
We are supporting a rapidly growing organisation that is currently looking for a Data Scientist to help with several new projects.
You will be responsible for working with senior stakeholders to understand business problems and support Data and AI solutions. You will be contributing to projects across the lifecycle including modelling, evaluation, and monitoring.
You will be working closely with the data engineering team on data pipelines and quality.
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.
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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
- Develop and maintain data models and work with senior stakeholders.
- Build LLM features.
- Work closely with cross-functional teams to deliver scalable AI-driven products.
- Work with stakeholders across the business to understand problems and support the exploration of data-driven solutions.
- Work across the business to understand problems and support data driven solutions.
- Ensure high-quality, maintainable, and well-documented code.


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Key Requirements
- Strong commercial experience with Python and SQL.
- Solid experience working on data science or AI projects.
- Experience with AWS, Azure or GCP.
- Experience with ML and modern LLM/RAG systems.
- Strong communication skills and ability to collaborate with international teams.
- Experience delivering data-driven solutions in a production environment.
For immediate interview consideration, please contact Ahsan Iqbal.
“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
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