Job Description
Full Stack Data Scientist
London (Hybrid)
Salary 140,000 to 150,000 plus equity
Our client is a hyper growth AI company building an enterprise scale workflow platform used by major financial institutions. Backed by leading global investors with more than 90 million in total funding, they are expanding their London team and hiring a Full Stack Data Scientist who wants high ownership, rapid impact and a seat at the table with founders.
This role is ideal for someone who loves building from scratch, thrives in fast moving environments and wants to own the entire data stack end to end.
The Opportunity
As a Full Stack Data Scientist you will be responsible for everything across the data lifecycle including pipelines, modelling, analytics, monitoring, predictive systems and self serve data products. You will work closely with founders, engineering and go to market teams to drive data driven decisions across the organisation.
This is not a standard BI or reporting role. This is a high velocity, high autonomy position where you will architect the data foundation that powers the entire business.
What You Will Do
Data Pipelines
* Build and maintain Python based ETLs and API integrations into Redshift
* Manage orchestration using GitHub Actions
* Ensure uptime, reliability, monitoring and data quality across all systems
Analytics Layer
* Build and maintain dbt models that are clean, well structured and agent friendly
* Develop core business metrics, product telemetry, customer health signals and financial KPIs
* Create a scalable semantic layer for LLMs to query reliably
Predictive Analytics and Machine Learning
* Deploy lightweight production ready models including churn prediction, usage forecasting, anomaly detection and upsell indicators
* Implement monitoring and automate downstream workflows using model outputs
Self Serve Data Products
* Build Looker dashboards and ensure analytics are self serve across all teams
* Create proactive alerting for metric changes, anomalies and system issues
AI First Development
* Use tools such as Cursor, Codex, Claude Code and Windsurf daily
* Write clean structured code that is easy for AI agents to navigate
* Contribute to internal data tooling and AI driven systems
Cross Functional Leadership
* Work directly with founders, engineering, product and GTM teams
* Communicate insights clearly and guide strategic decision making
* Influence strategy around usage based pricing, client analytics and internal operational metrics
What You Need
* Strong academic background
* 4 years or more experience across full stack data including ETL, modelling, analytics and predictive systems
* Strong Python for ETLs and analysis
* Strong SQL and dbt experience
* Experience building from scratch in a startup or a strong desire to do so
* Comfortable using AI coding tools daily
* Ability to thrive in ambiguity and fast changing environments
* Excellent communication skills
Nice to Have
* Experience with Redshift, AWS or GitHub Actions
* Experience building anomaly detection or metric monitoring systems
* Experience working with LLMs or building data layers for agents
What You Get
* Competitive salary 140,000 to 150,000 plus equity
* Work directly with founders with multiple successful exits
* Performance based incentives
* Opportunity to support expansion into the APAC market
* A high growth, exciting and innovative environment
Apply now to find out more!
lukedavidson@albertbow.com
(+44) 7807 790 130