At a Glance
- Tasks: Apply advanced data science and AI techniques to solve real-world business problems.
- Company: Join a leading organisation driving digital transformation in the telecommunications sector.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Fast-paced environment with opportunities for growth and collaboration across disciplines.
- Why this job: Make a tangible impact by leveraging data science to deliver business value.
- Qualifications: MSc, PhD or equivalent in relevant fields with hands-on data product experience.
The predicted salary is between 50000 - 60000 £ per year.
With a proven track record of applying advanced data science and AI techniques to solve complex business problems and deliver measurable commercial value, you'll bring a strong academic background - educated to MSc, PhD or equivalent — alongside hands-on experience building and deploying data products.
You’ll have a background that enables you to contribute effectively from an early stage, applying proven data science and AI techniques in a production environment. This role is therefore best suited to candidates with relevant professional experience, rather than those who are newly qualified.
Confident working with modern coding languages such as Python and SQL, and industry-standard tools and platforms including GIT, CI/CD pipelines, MLFlow and Databricks, you'll be comfortable turning data into real-world impact at scale.
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 the 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. Collaborative, team player with a tenacious, resilient mentality and can-do attitude. Experience in the Telecommunications sector is a bonus.
Driven by increasing demand for Data Science and AI solutions across the business, we’re expanding our teams. We’re looking for an experienced Data Scientist with practical, real‑world industry experience in a similar role.
Apply expertise in mathematics, statistics, data science, machine learning and AI (Including GenAI) to deliver business value by solving complex business problems. Develop, test, deploy, monitor and maintain data products in production using industry best practice MLOps capabilities.
Adhere to all data science governance, regulatory and legal requirements and best practice. Work collaboratively with colleagues from across different disciplines including but not limited to data engineering, data modellers, architects, risk and compliance and business functions.
Communicate outputs and findings to a range of stakeholders with a clear focus on the business value.
Data Scientist (12 Month FTC) in Manchester employer: TalkTalk
As a leading player in the telecommunications sector, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our Data Scientists enjoy a wealth of growth opportunities, supported by ongoing training and development initiatives, all while working in a fast-paced environment that values impactful contributions. Located in a vibrant area, our team benefits from a stimulating atmosphere that encourages creativity and teamwork, making us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (12 Month FTC) in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Python, SQL, and tools like MLFlow or Databricks. This will give potential employers a taste of what you can do and how you can deliver real-world impact.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex business problems in the past and how your expertise in AI and data science can bring value to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist (12 Month FTC) in Manchester
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, SQL, and any industry-standard tools like GIT or Databricks. We want to see how you've applied these skills in real-world scenarios, so don’t hold back!
Tell Your Story:Use your application to tell us about your journey in data science. Share specific examples of how you've solved complex problems and delivered tangible business value. We love a good story that showcases your expertise!
Keep It Clear and Concise:While we appreciate detail, clarity is key! Make sure your application is easy to read and gets straight to the point. Remember, we’re looking for effective communication skills, so show us you can convey your ideas clearly.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at TalkTalk
✨Know Your Data Science Stuff
Make sure you brush up on your advanced data science and AI techniques. Be ready to discuss specific projects where you've applied these skills to solve complex business problems. Highlight the measurable commercial value you delivered, as this will resonate well with the interviewers.
✨Show Off Your Coding Skills
Since the role requires proficiency in Python and SQL, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with industry-standard tools like GIT and CI/CD pipelines, as they may come up in conversation.
✨Communicate Clearly
Effective communication is key! Practice explaining your past projects and findings in a way that anyone can understand, regardless of their technical background. Remember, it's not just about what you did, but also about conveying why it mattered to the business.
✨Be a Team Player
This role involves collaboration across various disciplines, so be ready to discuss how you've worked with others in the past. Share examples of how you’ve contributed to team success and how you handle diverse viewpoints. A collaborative mindset will definitely impress the interviewers.
