Harnham
Data Scientist

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Data Scientist - Merseyside
As a Data Scientist, you will work closely with the Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making.
Responsibilities
- Building and deploying machine learning models across customer use cases
- Delivering projects focused on customer segmentation, lifetime value, and forecasting
- Supporting targeted marketing activity, including campaigns and personalisation
- Collaborating with data engineers, analysts, and business stakeholders
- Contributing to the development of a scalable Data Science platform
- Ensuring models are production-ready and drive measurable business impact
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.
Your Skills & Experience
- Strong commercial experience in Data Science, delivering end-to-end projects
- Proficiency in Python, with solid SQL skills
- Experience applying machine learning and statistical techniques to business problems
- Exposure to deploying models into production environments
- Understanding of cloud platforms such as GCP or Azure is beneficial
- Ability to communicate insights clearly to non-technical stakeholders
- A practical, delivery-focused mindset with a collaborative approach


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Desired Skills and Experience
- Python, SQL, Segmentation
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