TalkTalk

About the Company

Here at TalkTalk, you’ll find lots of different people doing different jobs. This is a place that’s perfect for the go-getter, the innovator, the creative thinker and the problem-solver. It’s for people who want to challenge the status quo. Who think ‘what if?’ and ‘why not?’. It’s for people who are tuned in to what matters.

We only ask for skills, strengths, talents and potential – nothing more. Well, apart from being as excited as we are about where we’re going.

Just ask any one of the 2000 of us who work here. They’ll tell you it’s a fun, flexible, social place where you’ll be continuously challenged but always well rewarded.

We’re always looking for talented professionals to join us! Check out our careers site for more info.

Listed Jobs

Company Name

TalkTalk

Job Title

Head of Data Science - Advanced Analytics & AI

Job Description

**Job Title** Head of Data Science – Advanced Analytics & AI **Role Summary** Lead the Data Science, Advanced Analytics, and AI function on a 12‑month fixed‑term contract. Deliver strategic direction and operational leadership to produce data‑driven solutions that unlock measurable business value. **Expectations** - Drive portfolio of data products through discovery to production. - Communicate insights to senior leaders and translate analytics into actionable decisions. - Maintain compliance with data governance, regulations, and ethical standards. - Foster an inclusive, high‑performance culture within multi‑disciplinary teams. **Key Responsibilities** - Prioritise and deliver data products that meet business objectives. - Collaborate with stakeholders across business units and influence decision‑makers. - Manage day‑to‑day operations of data science teams, including hiring, mentoring, and skill development. - Oversee relationships with third‑party vendors and external partners. - Apply MLOps practices to scale, deploy, and monitor models in production. - Mentor team members, promote best practices, and drive continuous improvement. - Ensure data governance, privacy, and ethical compliance across all projects. - Communicate complex analyses to audiences with varying technical levels. **Required Skills** - Deep knowledge of data science, advanced analytics, and AI (including generative and agentic models). - Strong foundation in mathematics, statistics, and relevant scientific concepts. - Proficiency in Python programming and machine‑learning frameworks. - Demonstrated experience in MLOps: model lifecycle, deployment, and monitoring. - Proven leadership of cross‑functional data science teams and mentorship. - Excellent stakeholder management, influence, and communication skills. - Ability to prioritise, deliver on tight timelines, and translate analytics into business value. - Resilient, self‑directed attitude with a “can‑do” mindset. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. - Professional certifications in data science, AI, or MLOps are advantageous (e.g., AWS Certified Machine Learning, TensorFlow Developer, etc.).

England, United kingdom

Hybrid

09-03-2026