Requirements
* Proven experience as a Data Science and AI expert, delivering tangible business value through data‑driven solutions
* Educated to MSc, PhD or equivalent apprenticeship level in physics, mathematics, statistics, data science, AI or computer science
* Strong programming capability in Python and SQL
* Hands‑on experience with modern data tooling and platforms, including GIT, CI/CD pipelines, MLFlow and Databricks
* Strong problem‑solving ability with experience managing complex, varied workloads
* Prior experience managing, motivating and upskilling junior team members
* Strong communication skills, with the ability to clearly explain the “why do we care?” to stakeholders with varying technical knowledge
* Comfortable working in a fast‑paced, digitally transforming organisation, focused on outcomes and delivery
* A collaborative team player with a tenacious, resilient, can‑do mindset
* (Desirable) Experience within the Telecommunications sector is a bonus, but not essential
What the job involves
* This position is offered on a 12‑month FTC basis
* Lead teams. Build products. Deliver real business value - As demand for data science products continues to grow across TalkTalk, our teams are expanding to meet the opportunity
* This newly created hands‑on Data Science Manager role will work alongside an existing Data Science Manager to lead high‑performing teams and deliver data science products that drive measurable business impact
* Reporting into the Head of Data Science, Advanced Analytics & AI, you will combine strong technical expertise with people leadership - guiding teams from proof of concept through to production, embedding best practice, and ensuring our data science capability continues to scale
* Support the Head of Data Science, Advanced Analytics & AI in delivering the department’s strategic mandate
* Apply deep expertise in statistics, mathematics, data science and AI techniques, including GenAI, to solve complex business problems
* Lead the development of data science products from POC to production, using agile, iterative and “fail fast, learn fast” approaches
* Deploy robust, scalable data products into production using MLOps best practices
* Ensure all solutions adhere to organisational, regulatory and legal data and AI requirements
* Mentor, manage and continuously upskill junior data scientists and analysts
* Create energy, momentum and pride within the team, positioning data science as an internal consultancy delivering world‑class outcomes
* Collaborate closely with multi‑disciplinary teams across the business to ensure alignment and impact
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