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- Tasks: Lead data science initiatives and deliver impactful analytics solutions.
- Company: Join TalkTalk, a Top 50 Inclusive Employer in the UK.
- Benefits: Flexible hybrid working, generous holiday package, and private healthcare.
- Other info: Dynamic workplace culture that values diversity and collaboration.
- Why this job: Make a real impact with cutting-edge AI and data science technologies.
- Qualifications: Proven experience in data science leadership and strong programming skills in Python.
The predicted salary is between 70000 - 90000 £ per year.
12 Month FTC role
Role: This role has been created to service the increasing business demand to deliver value through leveraging data science, advanced analytics and AI. The individual will provide both technical and strategic direction to the teams to deliver data products aligned to business needs and unlock tangible business value.
Responsibilities:
- Identify, prioritise and deliver data products aligned to business needs.
- Collaborate with stakeholders across different departments.
- Communicate insights to a range of stakeholders at different seniority and levels of technical capabilities.
- Ensure compliance with all applicable data related internal governance, regulatory and legal requirements.
- Day to day management of data teams.
- Manage relationships with third party vendors.
- Provide both technical and strategic guidance and mentorship to other team members.
- Lead, mentor, upskill and demonstrate best practices to other team members.
- Foster a collaborative and inclusive culture across different teams.
Knowledge, Skills & Experience:
- Knowledge of data science, advanced analytics and AI methods including GenAI and Agentic AI.
- Knowledge of underlying mathematics, statistics and science concepts underpinning data science, advanced analytics, and AI (including GenAI) methods.
- Knowledge of applicable governance and ethical frameworks and guidance.
- Experience with best practices of scaling, deploying and monitoring models in production using MLOps capabilities.
- Programming proficiency in Python.
- Ability to execute data science and AI strategy, simplify complexity and align deliverables to business values.
- Effective stakeholder management skills with ability to influence at different organisational levels.
- Ability to prioritise and deliver projects at pace with a clear focus on delivering value.
- Experienced in leading, mentoring and upskilling data science teams is a must.
- Proven record in taking projects from inception through to production.
- Tenacious and resilient mentality with a can-do attitude.
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.
Head of Data Science - Advanced Analytics & AI employer: TalkTalk Group
Contact Detail:
TalkTalk Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science - Advanced Analytics & AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in AI and advanced analytics. We want you to be able to showcase your expertise and how it aligns with the business needs.
✨Tip Number 3
Don’t just wait for job postings! Be proactive and reach out to companies you admire, like us at StudySmarter. Express your interest and share how you can add value to their data teams.
✨Tip Number 4
Follow up after interviews with a thank-you note. It’s a simple gesture that shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great way to reiterate your fit for the position!
We think you need these skills to ace Head of Data Science - Advanced Analytics & AI
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data science, advanced analytics, and AI. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant projects!
Showcase Your Leadership Skills: As the Head of Data Science, you'll be leading teams and mentoring others. Use your application to demonstrate your leadership experience and how you've successfully guided teams in the past. We love seeing examples of collaboration and team success!
Communicate Clearly: Remember, you’ll need to communicate insights to various stakeholders. Use clear and concise language in your application to show us you can simplify complex ideas. This will give us a taste of how you might communicate in the role!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at TalkTalk Group
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of data science, advanced analytics, and AI methods, especially GenAI and Agentic AI. Be ready to discuss how you've applied these in real-world scenarios and how they can deliver value to the business.
✨Stakeholder Communication is Key
Prepare to demonstrate your ability to communicate complex insights to various stakeholders. Think about examples where you've successfully influenced decisions at different organisational levels and how you tailored your message for different audiences.
✨Showcase Your Leadership Skills
As a head of data science, you'll need to lead and mentor teams. Be ready to share your experiences in managing teams, fostering collaboration, and upskilling others. Highlight any specific strategies you've used to create an inclusive culture.
✨Be Ready for Technical Questions
Expect technical questions around programming in Python and MLOps capabilities. Brush up on best practices for scaling, deploying, and monitoring models in production. Being able to simplify complex concepts will show your ability to execute data science strategy effectively.