Data Science Lead — From POC to Production (Hybrid)

Talktalk; Manchester; Híbrido; GBP 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible hybrid working

25 days annual leave

Private healthcare

Generous pension

Broadband for all

Volunteering days

Descripción de la vacante

TalkTalk in Manchester is seeking a Data Science Manager to lead a high-performing team and deliver data science products from proof of concept to production. You will report to the Head of Data Science, Advanced Analytics & AI, combining technical excellence with people leadership to scale capabilities across the organisation.

You will shape strategic initiatives, apply AI techniques including GenAI, and ensure solutions meet regulatory and data governance requirements while delivering

Formación

• Proven experience as a Data Science and AI expert delivering tangible business value.
• Educated to MSc, PhD or equivalent in relevant fields.

Responsabilidades

• Support the Head of Data Science, Advanced Analytics & AI in delivering the department's strategic mandate.
• Lead the development of data science products from POC to production using agile, iterative approaches.
• Deploy data products into production with MLOps best practices.
• Mentor, manage and upskill junior data scientists and analysts.
• Collaborate with multi-disciplinary teams to ensure alignment and impact.

Conocimientos

Data Science Leadership

AI Expertise

Python

SQL

Problem Solving

Educación

MSc/PhD in Physics/Mathematics/Statistics/Data Science/AI or Computer Science

Herramientas

Git

CI/CD

MLFlow

Databricks

Descripción del empleo

TalkTalk in Manchester is seeking a Data Science Manager to lead a high-performing team and deliver data science products from proof of concept to production. You will report to the Head of Data Science, Advanced Analytics & AI, combining technical excellence with people leadership to scale capabilities across the organisation.

You will shape strategic initiatives, apply AI techniques including GenAI, and ensure solutions meet regulatory and data governance requirements while delivering