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For Companies At a Glance
- Tasks: Lead data-driven transformation and oversee analytics initiatives to enhance customer experience.
- Company: Join TalkTalk, the UK's most recommended Wi-Fi provider aiming for excellence by 2028.
- Benefits: Enjoy a culture of innovation, continuous learning, and potential remote work options.
- Why this job: Be at the forefront of data science in telecoms, driving impactful change and growth.
- Qualifications: Proven leadership in data science, advanced degree preferred, with strong stakeholder management skills.
- Other info: Opportunity to collaborate with C-suite and shape the future of customer engagement.
The predicted salary is between 43200 - 72000 £ per year.
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, standing out from the crowd by offering intelligent but simple products that work perfectly first-time, without fuss or incomprehensible jargon. For any help, our customer service is the best in the industry.
Our aim is to deliver simplified and customer-delighting Wi-Fi products and a more digital customer and employee experience. This is 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.
Contact Detail:
TalkTalk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director-Data Science and Analytics
✨Tip Number 1
Network with professionals in the telecoms and data science sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you successfully led a team or project. Be prepared to share specific examples of how you fostered innovation and continuous learning within your teams.
✨Tip Number 3
Stay updated on the latest trends in data science and analytics, particularly in the telecoms industry. Familiarise yourself with emerging technologies and regulatory requirements that could impact the role, as this knowledge will demonstrate your commitment and expertise.
✨Tip Number 4
Prepare to discuss how you would approach building a data governance framework. Think about the challenges you might face and how you would ensure data integrity and security, as this is crucial for the role at TalkTalk.
We think you need these skills to ace Director-Data Science and Analytics
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Director of Data Science and Analytics position. Tailor your application to highlight how your experience aligns with their goals.
Craft a Compelling CV: Your CV should clearly showcase your leadership experience in data science and analytics, particularly in customer-centric organisations. Highlight specific projects where you've driven business value through data.
Write a Strong Cover Letter: In your cover letter, express your passion for data-driven transformation and how you can contribute to TalkTalk's vision. Use specific examples from your past roles to demonstrate your expertise in advanced analytics and team leadership.
Highlight Relevant Skills: Make sure to emphasise your skills in machine learning, data governance, and stakeholder management. Talk about your ability to translate complex analytics into actionable insights, as this is crucial for the role.
How to prepare for a job interview at TalkTalk
✨Showcase Your Leadership Experience
As a Director of Data Science and Analytics, you'll need to demonstrate your leadership skills. Prepare examples of how you've built and led high-performing teams in the past, focusing on fostering innovation and continuous learning.
✨Understand the Telecoms Landscape
Familiarise yourself with the telecoms sector and its specific challenges. Be ready to discuss how data science can address these issues, particularly in customer engagement and retention strategies.
✨Communicate Complex Ideas Simply
Since the role involves translating complex analytics into actionable insights, practice explaining your past projects in simple terms. This will showcase your ability to communicate effectively with stakeholders at all levels.
✨Prepare for Technical Questions
Expect questions about advanced analytics, machine learning, and data governance. Brush up on your technical knowledge and be prepared to discuss how you've applied these concepts to drive business value in previous roles.
