AI Connect | Data & AI Delivery Partner
Applied AI Scientist

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Applied AI Research Scientist – London or Edinburgh (Remote)
Competitive Six Figure Package
AI Connect are partnering with a major UK bank to help them appoint an Applied AI Research Scientist to join a growing Applied AI function developing next-generation AI capability.
You'll join a highly technical research team responsible for designing, developing and evaluating modern deep learning models that underpin customer intelligence across the organisation. Working with large-scale transactional and behavioural datasets, you'll help develop transformer-based foundation models that support a wide range of downstream AI applications.
This is a genuine applied research role, combining scientific rigour with real-world business impact.
What You'll Do
- Research, design and develop modern deep learning models using transformer-based architectures.
- Build and evaluate Foundation Models that learn rich customer representations from transactional data.
- Design, implement and optimise training pipelines using frameworks such as PyTorch and TensorFlow.
- Experiment with different model architectures, training objectives and evaluation techniques to improve model performance.
- Work with embeddings, representation learning and transformer methodologies to solve complex AI problems.
- Collaborate closely with Applied AI Engineers and ML Platform Engineers to transition research into production environments.
- Contribute to technical direction through scientific experimentation, model evaluation and architectural decision making.
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 Skills & Experience


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- Strong understanding of modern Deep Learning methodologies and Transformer architectures.
- Able to explain concepts such as tokenisation, embeddings, positional encoding, self-attention, multi-head attention and transformer training approaches.
- Strong Python programming skills with hands-on experience using PyTorch, TensorFlow or similar deep learning frameworks.
- Experience implementing, reviewing and extending deep learning codebases rather than simply consuming pre-trained models.
- Ability to explain implementation decisions within transformer training pipelines and the trade-offs between different modelling approaches.
- Understanding of cloud-based machine learning environments, including AWS services such as SageMaker, S3 and modern MLOps concepts.
- Experience evaluating AI models using robust scientific methodology and experimentation.
“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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