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- Tasks: Transform complex SQL into efficient, production-ready code and manage data pipelines.
- Company: Join a leading telecom company in the heart of London, driving innovation with data.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values creativity and impact in the telecom industry.
- Qualifications: Experience with SQL, GCP (BigQuery), Terraform, and CI/CD pipelines is essential.
- Other info: Bonus points for analytics experience; perfect for tech-savvy problem solvers!
The predicted salary is between 43200 - 72000 £ per year.
Is used to working with data scientists.
Can take complex prototype SQL and refactor it into efficient production grade well documented SQL.
Experience with deploying and managing the operations of data pipelines.
Experience with data quality testing.
Knowledge of GCP (BigQuery a must).
Knowledge of Terraform and CI/CD pipelines.
Bonus: Some experience doing analytics.
Data Scientist - Telecom (London Area) employer: Response Informatics
Contact Detail:
Response Informatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Telecom (London Area)
✨Tip Number 1
Familiarise yourself with the latest trends and tools in data science, especially those related to telecom. This will not only help you understand the industry better but also allow you to speak confidently about relevant technologies during interviews.
✨Tip Number 2
Network with professionals in the telecom sector, particularly those who work as data scientists. Attend industry meetups or webinars to make connections and gain insights that could give you an edge in your application.
✨Tip Number 3
Brush up on your SQL skills, focusing on refactoring complex queries into efficient production-grade code. Consider working on personal projects or contributing to open-source projects that showcase your ability to manage data pipelines effectively.
✨Tip Number 4
Gain hands-on experience with GCP, particularly BigQuery, and tools like Terraform and CI/CD pipelines. You can find online courses or tutorials that provide practical exercises to enhance your understanding and demonstrate your skills to potential employers.
We think you need these skills to ace Data Scientist - Telecom (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with SQL and data pipelines. Emphasise any projects where you've refactored SQL for production use or managed data operations.
Craft a Strong Cover Letter: In your cover letter, explain how your skills align with the job requirements. Mention your experience with GCP, BigQuery, Terraform, and CI/CD pipelines, and provide examples of how you've applied these in previous roles.
Showcase Your Technical Skills: Include a section in your application that specifically lists your technical skills related to the role. Highlight your proficiency in SQL, data quality testing, and any analytics experience you have, as these are key for the position.
Prepare for Potential Questions: Think about common interview questions related to data science and be ready to discuss your experience with data pipelines and quality testing. Prepare examples that demonstrate your problem-solving skills and technical expertise.
How to prepare for a job interview at Response Informatics
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL, especially how you've refactored complex queries into efficient production-grade code. Bring examples of your work and be ready to explain your thought process.
✨Demonstrate Data Pipeline Management
Highlight your experience in deploying and managing data pipelines. Discuss specific tools and methodologies you've used, and be ready to talk about any challenges you faced and how you overcame them.
✨Emphasise Data Quality Testing
Data quality is crucial in this role. Be prepared to discuss your approach to data quality testing, including any frameworks or tools you've used to ensure the integrity of data in your projects.
✨Familiarity with GCP and Terraform
Since knowledge of GCP, particularly BigQuery, is essential, make sure to brush up on your understanding of these technologies. If you have experience with Terraform and CI/CD pipelines, be ready to share how you've implemented them in your previous roles.
