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For Companies At a Glance
- Tasks: Analyse data and build predictive models to drive insights in the telecom sector.
- Company: Join a leading telecom company at the forefront of technology and innovation.
- Benefits: Enjoy flexible working hours and opportunities for professional development.
- Why this job: Make an impact by leveraging data to enhance customer experiences and drive business growth.
- 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 36000 - 60000 £ 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.
Contact Detail:
Response Informatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Telecom
✨Tip Number 1
Brush up on your statistics and statistical machine learning knowledge. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your expertise and understanding of the field.
✨Tip Number 2
Familiarise yourself with deep learning frameworks like TensorFlow or PyTorch. Consider working on a personal project or contributing to open-source projects to showcase your practical experience with these tools.
✨Tip Number 3
If you have experience with causal modelling, prepare to discuss how you've used it in past roles. This could set you apart from other candidates, so think of examples that highlight your analytical thinking.
✨Tip Number 4
Gain familiarity with Google Cloud Platform (GCP) if you haven't already. Explore GCP's data services and consider completing a certification to demonstrate your commitment and knowledge in cloud-based data solutions.
We think you need these skills to ace Data Scientist - Telecom
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 GCP Proficiency: If you have experience working with Google Cloud Platform (GCP), be sure to mention it. Describe how you've used GCP in handling large datasets and any relevant tools or services you utilised.
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 how you've used them to solve complex problems, particularly with large datasets.
✨Discuss Casual Modelling
If you have experience with causal modelling, be sure to highlight it during the interview. Prepare examples of how you've applied this knowledge in previous projects, as it can set you apart from other candidates.
✨GCP Knowledge is Key
Since experience with Google Cloud Platform (GCP) is a bonus, make sure you understand its tools and services. Be ready to discuss any projects where you've utilised GCP, especially in handling large datasets.
