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Role Overview
We are seeking a Data Scientist to join a consortium contracted to provide end-to-end product development and portfolio management for a large-scale data platform. The broader project involves establishing a governance and delivery model for the full product lifecycle, including migrating Tableau dashboards, redesigning a widely used homepage, and developing new digital products for digitisation, workforce planning, and supply chain management.
In this specific role, you will focus on the data science components for a dedicated product within the portfolio. The engagement is expected to run from mid-September to mid-November. The core working team is based in London; while you are not required to be in London full-time, you must be UK-based to comply with data sovereignty requirements.
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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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.
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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
- Pipeline Development: Design and create robust analytics pipelines specifically tailored for new population health management products.
- Cross-functional Collaboration: Coordinate closely with design and engineering workstreams to ensure seamless integration and alignment across the product development lifecycle.
- Product Discovery & Delivery: Support product discovery efforts and facilitate the handover and translation of data science models and requirements to the development (dev) teams.


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Skills
Required Skills
- Programming Languages: Strong proficiency in open-source programming languages.
- Technical Stack: Deep expertise in Python and PySpark (Mandatory).
- Location/Compliance: Must be physically based in the UK to meet strict data sovereignty regulations.
Nice to Have
- Familiarity with dashboard migration processes.
- Prior experience working with data related to population health management, workforce planning, or supply chain management.
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Skills
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