Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead teams to develop impactful data science products using advanced analytics and AI.
- Company: Join TalkTalk, a top inclusive employer in a dynamic, flexible workplace.
- Benefits: Enjoy generous holidays, private healthcare, and free broadband.
- Other info: Flexible hybrid working and opportunities for professional growth await you.
- Why this job: Make a real impact while working with cutting-edge technology in a collaborative environment.
- Qualifications: Proven experience in data science, strong programming skills, and leadership abilities.
The predicted salary is between 60000 - 80000 ÂŁ per year.
This position is offered on a 12‑month FTC basis. Join us as we embark on an exciting new chapter in our brand-new office at Circle Square, Manchester. 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.
The Role - You will:
- 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
What You’ll Bring
- Technical & Analytical Expertise
- 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
- Leadership & Communication
- 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
Be Yourself. Make an Impact. Join Us.
As a recognised Top 50 Inclusive Employer in the UK, we believe that diversity fuels innovation and success. We’re committed to building a workplace that reflects the communities and customers we serve. At TalkTalk, inclusion is part of our DNA – we’re all 100% human, and we’ve created a culture where you can truly be yourself.
We’re not your traditional 9-5. We’re a dynamic, flexible workplace, and we’re excited to hear how you like to work. Whether you thrive in collaboration, focus better at home, or prefer a bit of both – let’s make it work.
What We Offer
- Flexible hybrid working – with a minimum of 50% office presence to support teamwork and connection
- Collaborative office spaces designed for creative thinking and innovation
- Generous holiday package – 25 days annual leave, 3 wellbeing days, and your birthday off (plus the option to buy up to 10 more days!)
- Private healthcare for all employees
- Competitive pension scheme and performance-related bonus opportunities
- Free broadband for all employees
- Life event gifts – celebrating milestones like marriages and births
- Inclusive employee networks – open to all, supporting peer connection and thought-provoking conversations
- Salary sacrifice scheme – save on dental, gym, and more
- Big retail and leisure discounts
- 3 paid volunteering days a year – because making a difference matters to us too
Data Science Manager - Advanced Analytics & AI employer: TalkTalk Group
Contact Detail:
TalkTalk Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager - Advanced Analytics & AI
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data science field. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. Think about how you would explain complex concepts to non-technical stakeholders. This will help you shine during those crucial conversations!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Science Manager - Advanced Analytics & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Manager role. Highlight your experience in leading teams and delivering data-driven solutions, as well as your technical skills in Python and SQL. We want to see how you can bring real business value!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at TalkTalk. Don’t forget to mention your leadership style and how you motivate teams.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a proof of concept or a full-scale deployment, we love seeing how you've applied your skills in real-world scenarios. It’s all about demonstrating that hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect directly with us!
How to prepare for a job interview at TalkTalk Group
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python, SQL, and the latest data science tools like MLFlow and Databricks. Be ready to discuss how you've applied these skills to solve real business problems, as this role is all about delivering tangible value through data-driven solutions.
✨Showcase Your Leadership Skills
Since this position involves leading teams, be prepared to share examples of how you've motivated and upskilled junior team members in the past. Highlight your ability to create a positive team environment and how you’ve successfully managed projects from proof of concept to production.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to convey the 'why do we care?' to stakeholders with varying levels of technical knowledge. Think of examples where you’ve successfully communicated data insights to non-technical audiences.
✨Embrace the Agile Mindset
Familiarise yourself with agile methodologies and the 'fail fast, learn fast' approach. Be ready to discuss how you’ve implemented these practices in previous roles, particularly in developing data science products. This will show that you can adapt and thrive in a fast-paced, digitally transforming environment.