At a Glance
- Tasks: Apply advanced data science and AI techniques to solve complex business problems.
- Company: Join a leading organisation driving digital transformation in the telecommunications sector.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and teamwork.
- Why this job: Make a real-world impact by delivering tangible business value through data science.
- Qualifications: MSc, PhD or equivalent in relevant fields with hands-on experience in data products.
The predicted salary is between 60000 - 80000 £ per year.
Requirements
- A proven track record of applying advanced data science and AI techniques to solve complex business problems and deliver measurable commercial value.
- Strong academic background - educated to MSc, PhD or equivalent.
- Hands-on experience building and deploying data products.
- 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.
- Proven expertise in using relevant coding languages, tools, and platforms to deliver data products.
- Strong problem-solving skills and ability to manage a varied workload.
- Effective communication skills with the ability to convey messages clearly to a broad range of stakeholders with 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.
What the job involves
- Driven by increasing demand for Data Science and AI solutions across the business, we’re expanding our teams.
- 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 practices.
- Work collaboratively with colleagues from 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.
Senior Data Scientist: AI, MLOps & Business Impact in Manchester employer: TalkTalk
As a Senior Data Scientist at our innovative company, you'll thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages you to turn data into impactful business solutions. Located in a vibrant area, our team is dedicated to driving meaningful change through advanced AI and data science techniques, making us an exceptional employer for those looking to make a real difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist: AI, MLOps & Business Impact 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 products and projects. Use platforms like GitHub to share your code and demonstrate your expertise in Python, SQL, and MLOps tools. This will make you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've applied data science techniques to solve real-world business problems. Practice explaining your thought process clearly to different stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application reflects your hands-on experience and collaborative spirit.
We think you need these skills to ace Senior Data Scientist: AI, MLOps & Business Impact in Manchester
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your hands-on experience with data science and AI techniques. We want to see how you've applied your skills in real-world scenarios, so don’t hold back on those success stories!
Tailor Your Application:Take a moment to customise your application for the Senior Data Scientist role. Use keywords from the job description and demonstrate how your background aligns with what we’re looking for. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate effective communication, so make sure your points are clear and easy to understand. Remember, we want to know why you’d be a great fit for 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 to do!
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 common data manipulation tasks and be familiar with industry-standard tools like GIT and MLFlow.
✨Communicate Clearly
Effective communication is key! Practice explaining your past projects and their impact in simple terms. Remember, you’ll need to convey complex ideas to stakeholders with varying technical backgrounds, so focus on the 'why do we care' aspect of your work.
✨Be a Team Player
This role involves collaboration across different disciplines, so be ready to discuss how you've worked with others in the past. Share examples that showcase your ability to manage a varied workload and your tenacity in overcoming challenges within a team setting.
