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Senior Data Scientist
London - Hybrid
We are working with a leading buy-side investment firm looking for an experienced Data Scientist to join its growing data and analytics function.
This is an excellent opportunity to work in a highly commercial investment environment where data science plays an important role in shaping investment research, portfolio decisions, and risk management.
You will work directly with portfolio managers, investment professionals, and senior stakeholders, using machine learning, statistical modelling, and advanced analytics to solve complex, real-world investment problems. The role offers access to large financial and alternative datasets, with the opportunity to build models and analytical tools that have a visible impact on investment performance and 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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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.
The firm is investing heavily in its modern Microsoft Azure platform, giving you the opportunity to build and deploy scalable, production-ready data science solutions using technologies such as Azure Machine Learning, Snowflake, Data Factory, and Synapse. You will work closely with data engineers and technology teams to take models from initial research through to production, while contributing to the firm’s wider adoption of AI, machine learning, and cloud-based analytics.


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