Lead Data Scientist and AI Architect for Enterprise AI

Sedona Digital; United Kingdom; On-site; GBP 120,000 - 180,000; Full time

Job summary

You will define governance frameworks, lead the data and AI lifecycle, and champion scalable, trustworthy analytics across client engagements. The role emphasizes hands‑on data science, solution architecture, and strategic leadership.

Qualifications

• Ten years in data‑oriented enterprise tech delivery or architecture.
• Five years as a senior data scientist or engineer delivering DS/ML/analytics.
• Two years with GCP data technologies.
• Hands‑on with ML techniques (regression, classification, clustering, time series).
• End‑to‑end ML lifecycle (data prep, modeling, evaluation, deployment, monitoring).
• Experience with SQL and large datasets; AI governance and metadata design.

Responsibilities

• Lead a data science or Data & AI team/function.
• Define best practices across DS/AI lifecycle and governance.
• Act as consulting data architect for framework design and implementation.
• Design and leverage data services for enterprise analytics and AI requirements.
• Translate business problems into analytical solutions with measurable impact.
• Develop, deploy, and monitor ML models; ensure explainability.

Skills

Leadership

Data science

Enterprise delivery

SQL

Agile

Communication

Problem solving

Independent work

Education

Bachelor's or Master's in Data Science, Computer Science, Mathematics or Statistics

Tools

GCP Data & AI Components

BigQuery ML

Dataflow

Dataproc

Dataplex & Catalogue

Looker

Vertex AI

Databricks

Power BI

Azure Data & AI Component

Synapse

Python

SQL

Jira/Azure DevOps/Git Repos CI/CD

Job description

You will define governance frameworks, lead the data and AI lifecycle, and champion scalable, trustworthy analytics across client engagements. The role emphasizes hands‑on data science, solution architecture, and strategic leadership.