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- Tasks: Lead data science teams to deliver impactful products and solve complex business problems.
- Company: Join TalkTalk, a Top 50 Inclusive Employer in the UK.
- Benefits: Flexible hybrid working, generous holiday package, private healthcare, and big retail discounts.
- Why this job: Make a real impact with cutting-edge AI and data science in a dynamic environment.
- Qualifications: Expertise in data science, coding skills, and experience mentoring junior team members.
- Other info: Collaborative culture that values diversity and innovation.
The predicted salary is between 60000 - 80000 £ per year.
This position is offered on a 12‑month FTC basis.
The business demands for data science products have increased leading to a natural expansion of the teams. The newly created hands‑on manager role will work alongside another data science manager to lead the teams in delivering business value through data science products.
Responsibilities
- Support the head of data science, advance analytics and AI and work alongside other team members in delivering the departments mandate.
- Apply expertise in statistics and mathematics, data science methods and AI techniques (including GenAI) to solve complex business problems and deliver value aligned to business needs.
- Develop products from POC to production in an agile, iterative fail fast, learn and optimise manner.
- Deploy robust data products in production using MLOps capabilities.
- Adhere to all applicable data and AI organisational, regulatory and legal requirements.
- Mentor, upskill technical capabilities and manage more junior members of the team.
- Generate energy, pride and momentum in the team to raise our game to world class, with the team acting as an internal consultancy.
- Work collaboratively across multi‑disciplined teams.
Knowledge, Skills & Experience
- A Data Science and AI expert with a proven track record in leveraging data science and AI methods to solve business problems and deliver tangible business value.
- Educated to MSc, PhD or equivalent apprenticeship level in physics, mathematics, statistics, data science, AI or computer science.
- Proven expertise in using relevant coding languages (Python, SQL etc.), tools (e.g. GIT, CI/CD pipelines, MLFlow etc.) and platforms (Databricks etc.) to deliver data products.
- Strong problem‑solving skills are essential, along with an ability to manage a varied workload.
- Effective communication skills with ability to convey "why do we care" messages clearly to a broad range of stakeholders having different technical capabilities.
- Motivated by delivering results in a fast‑paced digital and transformational organisation.
- Prior experience of managing, motivating and upskilling more junior team members.
- Collaborative, team player with a tenacious, resilient mentality and can do attitude.
- Experience in the Telecommunications sector is a bonus.
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.
- Free on‑site parking at our offices.
- 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 employer: TalkTalk
Contact Detail:
TalkTalk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨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 who’s already 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, make sure potential employers can see what you can do. This is your chance to shine and demonstrate your expertise in action!
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. Think about how you’d tackle real-world problems using your skills. We recommend doing mock interviews with friends or mentors to build confidence and get feedback.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team. So, hit that apply button and let’s get the conversation started!
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Science Manager role. Highlight your experience with data science methods, AI techniques, and any relevant coding languages like Python and SQL. We want to see how your skills align with what we need!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our team. Don’t forget to mention your experience in mentoring and managing junior members, as that’s super important for this role.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex business problems using data science. We love seeing real-world applications of your skills, so share specific projects or outcomes that demonstrate your expertise and impact.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at TalkTalk
✨Know Your Data Science Stuff
Make sure you brush up on your statistics, AI techniques, and coding languages like Python and SQL. Be ready to discuss how you've used these skills to solve real business problems in the past. The interviewers will want to see that you can apply your knowledge practically.
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll be expected to mentor and motivate junior team members. Prepare examples of how you've successfully led teams or projects before. Highlight your ability to generate energy and pride within a team, as this is crucial for the role.
✨Communicate Clearly
You’ll need to convey complex ideas to stakeholders with varying technical backgrounds. Practice explaining your past projects in simple terms, focusing on the 'why do we care' aspect. This will demonstrate your effective communication skills and your understanding of business value.
✨Embrace the Agile Mindset
Familiarise yourself with agile methodologies and be prepared to discuss how you've implemented them in previous roles. Talk about your experience with MLOps and how you’ve developed products from proof of concept to production. Showing that you can adapt and learn quickly will impress the interviewers.