- Company Name
- Thirteen Group
- Job Title
- Data Science and Innovation Manager
- Job Description
-
**Job Title:** Data Science and Innovation Manager
**Role Summary:**
Lead the data innovation function within a transformation program, designing and delivering scalable BI, AI, and machine-learning solutions that enhance decision‑making and customer outcomes. Manage a small team of data specialists, embed advanced analytics across operational units, and maintain cutting‑edge GIS capabilities.
**Expactations:**
- Deliver end‑to‑end analytics services that drive digital capability and insights.
- Lead the creation, rollout, and governance of BI dashboards and reporting suites.
- Champion adoption of AI/ML for forecasting, efficiency, and service improvement.
- Foster a data‑partnering culture by collaborating with business and transformation leaders.
- Maintain leadership in GIS and spatial analytics within the sector.
**Key Responsibilities:**
- Head a forward‑thinking data innovation function, steering BI, AI, and ML initiatives.
- Oversee design, development, and deployment of dashboards, reporting suites, and predictive models.
- Manage and inspire a team of three (bi/ai developers, data analyst), aligning work across multiple streams.
- Advocate and enable advanced analytics adoption across the organization.
- Serve as a data partner to operational teams, integrating data‑driven solutions into transformation programmes.
- Provide strategic oversight of GIS capabilities, ensuring sector leadership.
**Required Skills:**
- Proven expertise in BI, data visualization, and dashboard development (Power BI, Tableau, etc.).
- Strong background in AI/ML modelling and production deployment (Python, R, Azure ML, or equivalent).
- Experience in GIS and spatial analytics tools.
- Leadership ability to manage a small analytics team and deliver projects under tight deadlines.
- Excellent stakeholder engagement, influencing across all organizational levels.
- Demonstrated ability to translate complex data into actionable insights.
- Familiarity with data automation and integrated analytics pipelines.
**Required Education & Certifications:**
- Bachelor’s (or Master’s) degree in Data Science, Computer Science, Statistics, or a related field.
- Certifications in BI (e.g., Power BI Associate), Python/R, Azure ML, or similar are preferred.
Middlesbrough, United kingdom
Hybrid
26-01-2026