Automation & Data Analytics Engineer

Lendable; Greater London; Hybrid; GBP 45,000 - 75,000; Full time

Benefits offered by this job

Hybrid working

Private health cover

Retirement savings plan

Office meals

Job summary

Lendable is building the most advanced, data-driven operating model in fintech. This role sits in the Operations Science & Strategy team, using data, LLMs and automation to transform how our Operations teams work at scale.

You’ll partner with senior leaders on high-impact projects to diagnose demand drivers, build KPI frameworks and deploy automation that reduces cost-to-serve while improving customer outcomes.

Qualifications

• 2–3 years hands-on Python in a professional setting.
• Highly numerate with strong analytical reasoning.
• Ability to independently structure analysis, build prototypes, and deliver insights.
• Experience communicating data-driven recommendations to non-technical stakeholders.

Responsibilities

• Automate processes and build AI-powered solutions using Python and LLM APIs.
• Prototype, test with real data, and scale successful workflows.
• Partner with PMs and engineers to operationalise AI-driven solutions across Operations.
• Develop KPI frameworks and funnel views to enable data-driven decisions.
• Translate data into commercial insights and productivity metrics.

Skills

Python

Analytical thinking

Data storytelling

Stakeholder communication

Education

BSc in a STEM field

Tools

dbt

OpenAI API

Job description

Lendable is building the most advanced, data-driven operating model in fintech. This role sits in the Operations Science & Strategy team, using data, LLMs and automation to transform how our Operations teams work at scale.

You’ll partner with senior leaders on high-impact projects to diagnose demand drivers, build KPI frameworks and deploy automation that reduces cost-to-serve while improving customer outcomes.