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Job Opportunity: Data Scientist (Generative AI) in London
Location: London
Working Model: Flexible hybrid working (3 days on site typically)
Type: Permanent
About the Role
This is a permanent role where you'll help design and deploy enterprise-scale GenAI solutions, working with technologies including LLMs, RAG, LangChain, OpenAI, Hugging Face, vector databases, and cloud platforms (AWS/GCP/Azure).
Key Responsibilities
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.
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.
- Building and deploying LLM-powered applications for real business use cases.
- Developing RAG pipelines, prompt engineering, and fine-tuning foundation models.
- Collaborating with Data Engineering, MLOps, and Product teams to deliver scalable AI solutions.
- Staying at the forefront of GenAI and emerging AI technologies.
Requirements
- Experience: Around 5+ years of Data Science/Machine Learning experience.
- Skills:
- Hands-on experience with Generative AI/LLMs.
- Strong Python skills.
- Experience with frameworks such as LangChain, Transformers, PyTorch, or TensorFlow.
- Advantages:
- Experience with OpenAI, Claude, Mistral, Llama, vector search, FastAPI, Streamlit, or enterprise AI applications.
- Any exposure to Palantir is a bonus.


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Compensation
- Salary: Up to 65K
- Bonus: 10%
- Sponsorship: No sponsorship for the role.
“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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