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Senior Data Scientist
We are seeking a highly motivated and experienced Senior Data Scientist to join our dynamic team. In this role, you will be responsible for developing and implementing advanced machine learning models, conducting in-depth data analysis, and driving data-driven decision-making across the organization. You will collaborate closely with cross-functional teams, including product managers, engineers, and business analysts, to identify key opportunities and deliver impactful solutions.
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
- Strong background in statistical modeling
- Proven track record of delivering complex data science projects
- Excellent communication skills
- Experience with Python
- Experience with R
- Experience with SQL
- Experience with cloud platforms (AWS, Azure, GCP)
Responsibilities
- Develop and implement advanced machine learning models
- Conduct in-depth data analysis
- Drive data-driven decision-making across the organization
- Collaborate closely with cross-functional teams, including product managers, engineers, and business analysts
- Identify key opportunities
- Deliver impactful solutions


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About DataCorp
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