Senior Data Scientist

YouLend is hiring a Senior Data Scientist in London, United Kingdom. It pays £100k a year and Level rates it ; you can apply on YouLend.

Level's read on this job

Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
The posting mentions MLOps among its tools and skills.
Level classes it as a senior role.
YouLend has 21 other open roles on Level.
Posted in the last few days.

AI in this role

ml-ops

We’re looking for a Senior Data Scientist to join our growing Risk team. This hybrid role will be based in our London headquarters from where we support all our global businesses. Leveraging advanced analytics and machine learning, you’ll play a pivotal role in shaping the future of embedded finance. From developing and enhancing Probability-of-Default and Revenue-Forecasting models to uncovering insights that drive smarter decisions, your work will directly impact how businesses access finance and serve their customers better. You’ll work closely with cross-functional teams to integrate data-driven solutions into our products and strategies, helping businesses access finance and serve their customers better.

Key Responsibilities

Analyse large, complex datasets to uncover patterns, insights, and trends that inform business decisions.
Build and deploy machine learning models to forecast financial outcomes, detect fraud, optimise credit risk, and enhance customer personalisation.
Develop and improve algorithms for financial services such as pricing or risk assessment.
Create compelling visualisations and dashboards to communicate findings to stakeholders.
Collaborate with risk managers, engineers, and commercial teams to integrate data-driven insights into our products and strategies.
Partner with the data and ML engineering team to ensure data pipelines are robust, scalable, and optimised for analysis and inference.
Contribute to best practices in MLOps and model lifecycle management.

Skills, Knowledge & Expertise

Proven experience as a data scientist within a fintech Strong proficiency in Python and SQL for data manipulation, analysis, and model development.
Hands-on experience with a wide range of machine learning algorithms and foundational MLOps practices.
Ability to design and build predictive models that solve real business problems.
Skilled at translating complex data into clear, actionable insights for technical and non-technical audiences.
Experience working with financial or transactional datasets is a plus.

How we rate this

Senior Data Scientist at YouLend rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Scientist is an open job at YouLend.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is £100k a year.
The role is based in London, Greater London.
The job was posted on October 28, 2026.
Seniority: senior.
Applications are handled by YouLend. Apply on YouLend

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML Ops

Also common in data scientist jobs at this level

LLM Generative AI AWS Spark Deep learning PyTorch

Pay

Typical data scientist job: $166k

Use the typical data scientist figure as a reference when pay comes up. See data scientist jobs

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: ML Ops. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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