At a Glance
- Tasks: Lead teams to deliver impactful data science products and drive AI innovations.
- Company: Join TalkTalk, a forward-thinking company with a focus on inclusivity.
- Benefits: Enjoy flexible hybrid working, generous holidays, and a supportive work environment.
- Other info: Exciting opportunity for career growth in a dynamic Manchester office.
- Why this job: Make a real impact in the world of AI and advanced analytics.
- Qualifications: Proven expertise in AI and data science with strong leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
TalkTalk is seeking a hands-on Data Science Manager to lead teams and deliver impactful data science products from their new office in Manchester. This role requires strong leadership and technical skills, aiding the Head of Data Science in strategic responsibilities.
The ideal candidate should possess proven expertise in AI and data science, guiding teams from proof of concept to production.
Highlights include flexible hybrid working, a generous holiday package, and a commitment to inclusivity.
Data Science Manager: AI & Advanced Analytics Lead employer: TalkTalk
TalkTalk is an excellent employer, offering a dynamic work environment in Manchester where innovation thrives. With flexible hybrid working arrangements, a generous holiday package, and a strong commitment to inclusivity, employees are empowered to grow both personally and professionally while contributing to impactful data science projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager: AI & Advanced Analytics Lead
✨Tip Number 1
Network like a pro! Reach out to current employees at TalkTalk on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving AI. We want to see how you’ve taken ideas from proof of concept to production – it’s all about that hands-on experience!
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common data science questions and leadership scenarios. We can even do mock interviews together to boost your confidence!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who align with our values of inclusivity and innovation.
We think you need these skills to ace Data Science Manager: AI & Advanced Analytics Lead
Some tips for your application 🫡
Show Your Passion for Data Science:When writing your application, let your enthusiasm for data science shine through! We want to see how your experience aligns with our mission at TalkTalk and how you can lead teams to create impactful products.
Highlight Your Leadership Skills:As a Data Science Manager, you'll be guiding teams, so make sure to showcase your leadership experience. Share examples of how you've successfully led projects or mentored others in the field—this will really resonate with us!
Be Specific About Your Technical Expertise:We’re looking for someone with proven expertise in AI and data science. Don’t just list your skills; provide concrete examples of how you've applied them in real-world scenarios. This helps us understand your capabilities better.
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 don’t miss out on any important updates about the role. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at TalkTalk
✨Know Your Data Science Stuff
Make sure you brush up on your AI and data science knowledge. Be ready to discuss your past projects, especially those that took concepts from proof of concept to production. TalkTalk will want to see how you can apply your expertise in real-world scenarios.
✨Show Your Leadership Skills
As a Data Science Manager, you'll need to demonstrate your leadership abilities. Prepare examples of how you've successfully led teams in the past, resolved conflicts, or mentored junior staff. This will show that you're not just technically savvy but also a great team player.
✨Understand Their Business
Do some homework on TalkTalk and their data initiatives. Familiarise yourself with their products and how data science can enhance their services. This will help you tailor your answers and show that you're genuinely interested in contributing to their goals.
✨Ask Thoughtful Questions
Prepare some insightful questions to ask during the interview. Inquire about their current data projects, team dynamics, or how they measure success in data science. This shows your enthusiasm for the role and helps you gauge if it's the right fit for you.
