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Senior Data Scientist
The client is a global leader in technology, innovation, and digital transformation. They are seeking a highly skilled and experienced Senior Data Scientist to join their dynamic team. This role will involve working on cutting-edge AI and machine learning projects, developing predictive models, and driving data-driven decision-making across the organization. The successful candidate will have a strong background in statistical modeling, machine learning algorithms, and big data technologies. This is an excellent opportunity to work with a talented group of professionals and contribute to impactful projects.
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.
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
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science or machine learning.
- Proficiency in Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop).
- Strong understanding of statistical modeling and experimental design.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.


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Responsibilities
- Design, develop, and implement machine learning models and algorithms.
- Analyze large datasets to extract actionable insights and identify trends.
- Collaborate with cross-functional teams to define data-driven strategies.
- Build and maintain data pipelines and infrastructure.
- Communicate findings and recommendations to stakeholders.
- Stay up-to-date with the latest advancements in AI and machine learning.
About Global Leader in Technology
The client is a global leader in technology, innovation, and digital transformation.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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