GL Global
Senior Data Scientist - AI & Machine Learning - FinTech

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Senior Data Scientist - AI & Machine Learning - FinTech
I’m working with a well-established FinTech that is investing heavily in Data Science, Machine Learning, and Generative AI. They are looking for a technically strong Senior Data Scientist to join their growing team and work on a range of high-impact, real-world AI solutions.
This is a hands-on role with the opportunity to own projects end-to-end - from identifying and framing problems through to developing, deploying, and improving production-ready solutions.
You’ll work across predictive modelling, machine learning, time-series forecasting, and modern Generative AI, helping turn complex datasets and business challenges into practical technology solutions.
You’ll be involved in:
- Developing and deploying machine learning and predictive models
- Building LLM-powered applications, AI agents, and multi-step workflows
- Working with modern frameworks such as LangChain, LangGraph, or similar
- Developing scalable, production-grade Python solutions
- Working with large and complex datasets, including time-series data
- Taking ownership of projects from problem definition through to production
- Collaborating with engineers, analysts, product teams, and senior stakeholders
- Exploring new developments across Generative AI, LLMs, and agentic AI
- Mentoring junior team members and helping raise technical standards
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.
Experience
- 3+ years’ experience in Data Science, Machine Learning, or a related field
- Expert-level Python with strong experience across Pandas, NumPy, SciPy, and Scikit-learn
- Strong machine learning and predictive modelling experience
- Hands-on experience with LLMs / Generative AI
- Experience building AI applications beyond basic chatbot interfaces
- Strong understanding of time-series modelling / forecasting
- Experience taking models or AI solutions into production
- Familiarity with Snowflake, AWS, GCP, or equivalent cloud technologies
- MSc or higher in Mathematics, Statistics, Econometrics, Physics, or another quantitative discipline


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This is a great opportunity for a Data Scientist, Machine Learning Engineer, or AI Engineer who wants to work with modern AI technologies while having genuine ownership and commercial impact.
Interested? Please apply directly for further details & a confidential discussion.
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