LT Harper Recruitment Group
Data Scientist

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Senior Data Scientist
Location – London – Hybrid
Salary - £75k – £82,5k + Benefits
Please Note
Due to the AWESOME nature of this work, Applicants must hold a valid British passport
Some data science roles are about optimising marketing campaigns or improving recommendation engines, this isn't one of them.
We're looking for an experienced Data Scientist to work on highly secure, technically demanding projects where the questions are complex, the data is challenging and the outcomes genuinely matter. You'll work alongside experts from a range of disciplines, using machine learning, AI and advanced analytics to solve problems that have real-world impact.
You'll be trusted to explore, experiment and develop practical solutions where there isn't always a predefined answer.
What you'll be doing
You'll lead the design and delivery of advanced data science solutions, combining analytical thinking with strong engineering principles to build models that can be relied upon in production. Your work could involve:
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.
- Developing machine learning models that solve complex operational challenges.
- Working with structured, unstructured and streaming data to uncover meaningful insights.
- Designing scalable data pipelines and production-ready AI solutions.
- Collaborating directly with technical and non-technical stakeholders to shape the right approach.
- Evaluating emerging AI techniques and applying them where they deliver genuine value.
- Building robust, maintainable Python solutions using modern engineering practices.
- Helping shape technical direction while mentoring others and sharing knowledge across the team.
What we're looking for
We're far more interested in how you think than simply the tools you've used.
You'll likely have:
- At least five years' commercial experience delivering data science or machine learning solutions.
- A strong academic background in a STEM discipline.
- Excellent Python skills and experience developing production-quality machine learning solutions.
- Experience working with cloud platforms such as AWS, Azure or Google Cloud.
- Knowledge of modern software engineering practices, CI/CD and version control.
- Experience working with SQL and/or NoSQL technologies.
- The confidence to explain technical concepts clearly to a wide range of audiences.
- A genuine curiosity for solving difficult problems and continuously learning.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Experience in consultancy or client-facing environments would be advantageous but isn't essential.
If you're motivated by technically challenging work, enjoy solving problems with no obvious answer, and want to see your expertise applied where it has genuine impact, you'll find plenty to get excited about here.
Interested?
Then let’s talk!
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