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- Tasks: Lead teams to maximise business value through innovative data science products.
- Company: Dynamic telecommunications company promoting diversity and inclusivity.
- Benefits: Private healthcare, generous vacation time, and flexible working options.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge analytics.
- Qualifications: Strong data science background, team management experience, and excellent communication skills.
- Other info: Join a supportive workplace with a focus on career growth and development.
The predicted salary is between 48000 - 72000 £ per year.
A telecommunications company in the UK is looking for a hands-on data science manager to lead teams in maximizing business value through data science products. The ideal candidate will possess a strong background in data science, experience in managing teams, and effective communication skills.
Join a dynamic workplace that supports flexible working and promotes diversity in an inclusive culture. This role offers competitive benefits such as private healthcare and generous vacation time.
Data Science Manager: AI & Advanced Analytics Leader in Salford employer: TalkTalk
Contact Detail:
TalkTalk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager: AI & Advanced Analytics Leader in Salford
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Showcase your skills! Prepare a portfolio of your data science projects that highlights your hands-on experience. We want to see how you’ve turned data into actionable insights, so make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to team management and data analytics. 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 love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Science Manager: AI & Advanced Analytics Leader in Salford
Some tips for your application 🫡
Show Your Data Science Passion: When writing your application, let your enthusiasm for data science shine through! Share specific examples of projects you've worked on and how they’ve made an impact. We want to see your passion for turning data into actionable insights.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Science Manager role. Highlight your leadership experience and any relevant skills that align with our needs. We love seeing candidates who take the time to connect their background with what we’re looking for!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s necessary. We appreciate when candidates can communicate complex ideas simply, as this reflects effective communication skills we value in our team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy and straightforward – just follow the prompts!
How to prepare for a job interview at TalkTalk
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals. Be ready to discuss your experience with AI and advanced analytics, as well as any specific projects you've led. This is your chance to showcase how your skills can maximise business value.
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've managed teams in the past, resolved conflicts, or inspired innovation. Highlight your communication skills, as they are crucial for this role.
✨Understand the Company Culture
Research the telecommunications company and its values. Since they promote diversity and an inclusive culture, think about how your own experiences align with these values. Be ready to discuss how you can contribute to a dynamic workplace.
✨Prepare Questions to Ask
Interviews are a two-way street! Prepare thoughtful questions about the company's data science initiatives, team dynamics, and how they support flexible working. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
