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Data Scientist
Thyme
- London, England, United Kingdom
- London, England, United Kingdom
Über
FinTech / Payments business
that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost, multi-currency payments and money management, operating across several regulated markets.
They’re now investing further in their
Data Science and AI capability
and are looking for a
Data Scientist
to play a key role in shaping how advanced analytics, machine learning and AI are used across the business.
The role As a Data Scientist, you’ll work on turning complex datasets into meaningful insights and production-ready models that influence real business decisions. You’ll partner closely with
Product, Engineering and Analytics teams , helping to identify where data science and machine learning can add the most value.
This role combines hands-on technical work with the opportunity to influence
strategy, tooling and ways of working , particularly around AI and ML adoption.
You’ll be involved across the full lifecycle, from problem definition and experimentation through to deployment, governance and ongoing optimisation.
What you’ll be doing
Leading the use of
advanced analytics, machine learning and AI
within the data team
Collaborating with Product and Engineering on strategic AI-driven initiatives
Identifying and developing high-impact use cases for data science and ML
Helping define ML lifecycle standards, documentation and governance
Communicating insights and model outputs clearly to technical and non-technical stakeholders
What we’re looking for
Strong grounding in
statistical modelling, experimentation and inference
Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow)
Experience building, deploying and optimising ML models in production
Strong AWS experience (e.g. SageMaker, Lambda or similar services)
Expert SQL skills and experience working with large, complex datasets
Solid data engineering fundamentals, including pipelines and APIs
Comfortable with MLOps practices such as CI/CD, containerisation and monitoring
Clear, pragmatic communicator who works well across teams
Nice to have
Experience with agentic or LLM-based frameworks
Exposure to causal inference, uplift modelling or advanced experimentation
Experience working in fintech or another regulated environment
Awareness of data governance, privacy and model ethics
What’s on offer
Competitive salary with flexibility for the right profile
25 days holiday plus an additional day off
Annual learning and development budget
Private healthcare and wellbeing support
Pension, life assurance and additional benefits
Hybrid working with flexibility where possible
This role would suit someone who enjoys working on
real-world data problems , wants to influence how AI and machine learning are used responsibly in production, and is looking for a role with both
technical depth and business impact .
If you’re interested, apply directly or reach out for a confidential conversation.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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