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Data Scientist
Competitive
Hybrid | London
We've partnered with a large, established business to find a Data Scientist who will help translate complex data into insights that drive real commercial decisions.
This is an organisation with significant scale and a growing focus on data and digital capability. You'll sit within a dedicated data function, working closely with a Senior Data Scientist and collaborating across engineering, product and business teams to build models that get used, not just presented.
Responsibilities as a Data Scientist:
- Conduct exploratory data analysis to identify trends, patterns and anomalies across large datasets
- Build, refine and deploy machine learning models to solve business problems
- Perform data cleaning, feature engineering and transformation to ensure data quality and model suitability
- Support integration of models into business processes and operational systems
- Monitor deployed model performance and recommend adjustments as needed
- Work with cross-functional teams to translate business needs into data science solutions
- Communicate findings and model outputs clearly to non-technical stakeholders
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.
Requirements:
- Degree in Computer Science, Mathematics, Engineering or a related discipline
- 2+ years of experience in data analysis, statistical modelling or data science
- Hands-on experience with Python, R or SQL
- Proven experience with machine learning algorithms and data science methodologies
- Familiarity with cloud platforms, big data technologies and distributed computing
- Experience with data visualisation tools such as Power BI or Tableau is a plus
- Strong communication skills with the ability to present complex insights to non-technical audiences


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Why apply?:
- A business with real scale, where data science work has genuine commercial impact
- Structured support from a Senior Data Scientist with clear scope to grow
- A team that invests in continuous learning and staying current with new tools and techniques
- Varied problems across a complex, multi-site organisation
- London-based role within an established and expanding data function
If you're a Data Scientist looking for a role with solid foundations, real data and room to develop, get in touch. Apply now or message me directly.
Due to the high volume of applications, not all applicants will receive feedback.
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