Background and context
TalkTalk’s vision is to be the most recommended Wi-Fi provider in the UK by 2028 with a growing, profitable` base. Success requires that we simplify what we do, who we do it with, and reduce the cost of how we do it.
"TalkTalk is the uncomplicated way to get excellent in-home Wi-Fi coverage, we stand out from the crowd by offering intelligent but simple products that work perfectly first-time, without fuss or incomprehensible jargon, and for any help our customer service is the best in the industry”
Our aim is to deliver simplified & customer delighting Wi-Fi products and a more digital customer & employee experience. This enabled by a technology platform that leverages data to drive innovation, decision-making, and automation, ultimately providing a more cost-efficient service for our customers.
Role Overview
The Director of Data Science & Analytics will lead the data-driven transformation of the business, overseeing the strategy, governance, and execution of all data science and analytics initiatives. Reporting to the executive team, you will ensure data is leveraged to drive business growth, improve customer experience, and enable operational excellence across the organisation.
Key Responsibilities
Develop and execute a comprehensive data science and analytics strategy aligned with business goals.
Build and lead a high-performing team of data scientists, analysts, and data engineers, fostering a culture of innovation and continuous learning.
Oversee the end-to-end delivery of advanced analytics, machine learning, and decision support systems to improve customer engagement, retention, and revenue generation.
Establish robust data governance, quality, and compliance frameworks, ensuring the integrity and security of all data assets.
Collaborate with C-suite and business leaders to identify high-impact opportunities for data-driven decision making and process optimisation.
Drive the development and deployment of predictive models, customer segmentation, churn analysis, and network optimisation projects tailored to the telecoms sector.
Monitor key performance indicators (KPIs) and measure the business impact of analytics initiatives, focusing on tangible outcomes such as revenue growth, cost reduction, and customer satisfaction.
Stay ahead of industry trends, emerging technologies, and regulatory requirements relevant to data science and telecoms.
Essential Skills & Experience
Proven leadership in data science/analytics within a large-scale, customer-centric organisation (telecoms experience preferred).
Deep expertise in advanced analytics, machine learning, and AI, with a track record of delivering business value through data.
Strong understanding of data governance, security, and compliance in regulated environments.
Excellent stakeholder management and communication skills, with the ability to translate complex analytics into actionable business insights.
Experience building and mentoring high-performing, multidisciplinary teams.
Advanced degree in Data Science, Computer Science, Statistics, or a related field.
