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For Companies At a Glance
- Tasks: Analyse data and build predictive models to drive insights.
- Company: Join a leading telecom company shaping the future of connectivity.
- Benefits: Enjoy flexible working hours and opportunities for professional growth.
- Why this job: Be part of a dynamic team making a real impact in the telecom industry.
- Qualifications: Strong knowledge of statistics, machine learning, and experience with large datasets required.
- Other info: Experience with GCP and deep learning frameworks is a plus.
The predicted salary is between 43200 - 72000 £ per year.
Good knowledge of statistics and statistical machine learning.
Experience with deep learning framework.
Bonus: Experience with causal modelling.
Experience with GCP.
Ideal experience working with large datasets.
Data Scientist - Telecom (, , United Kingdom) employer: Response Informatics
Contact Detail:
Response Informatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Telecom (, , United Kingdom)
✨Tip Number 1
Familiarise yourself with the latest trends in statistics and machine learning, especially those relevant to telecom. This will not only boost your confidence but also help you engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase any personal projects or contributions to open-source projects that involve deep learning frameworks. This practical experience can set you apart from other candidates and demonstrate your hands-on skills.
✨Tip Number 3
If you have experience with Google Cloud Platform (GCP), be prepared to discuss specific projects where you've utilised it. Highlighting your ability to work with large datasets on GCP can make a strong impression.
✨Tip Number 4
Network with professionals in the telecom industry through platforms like LinkedIn. Engaging with industry experts can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Scientist - Telecom (, , United Kingdom)
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasise your knowledge of statistics and statistical machine learning in your application. Provide specific examples of how you've applied these skills in previous roles or projects.
Showcase Deep Learning Experience: If you have experience with deep learning frameworks, detail the projects you've worked on. Mention the frameworks you are familiar with and any significant outcomes from your work.
Mention Casual Modelling: If you have experience with causal modelling, even if it's a bonus requirement, include it in your application. Explain how this experience can benefit the role and the company.
Discuss Large Datasets: Since the role involves working with large datasets, describe your experience handling such data. Include any tools or techniques you used to manage and analyse large volumes of information.
How to prepare for a job interview at Response Informatics
✨Brush Up on Statistics
Make sure you have a solid understanding of statistics and statistical machine learning. Be prepared to discuss key concepts and how they apply to real-world scenarios, especially in the telecom sector.
✨Showcase Your Deep Learning Skills
Familiarise yourself with various deep learning frameworks. Be ready to explain your experience with them and provide examples of projects where you've successfully implemented these techniques.
✨Understand Causal Modelling
If you have experience with causal modelling, be sure to highlight it during the interview. If not, do some research on the topic so you can discuss its relevance and potential applications in data science.
✨Demonstrate Your Data Handling Abilities
Since the role involves working with large datasets, prepare to talk about your experience in managing and analysing big data. Discuss any tools or technologies you've used, particularly in relation to Google Cloud Platform (GCP).
