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For Companies At a Glance
- Tasks: Join a dynamic team to solve real-world data challenges using cutting-edge technologies.
- Company: A leading multinational consulting firm specializing in data management solutions.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and learning.
- Why this job: Make an impact by delivering innovative solutions while working with top industry professionals.
- Qualifications: Strong Python skills and experience with SQL, cloud tech, and data libraries required.
- Other info: Based in London, this role offers a chance to work on diverse projects.
The predicted salary is between 43200 - 72000 £ per year.
A multinational data management consulting company is looking for Data Scientists to join their London-based office.
You will join a team of consultants, engineers, and data scientists to provide the best solutions to the clients.
Candidate Requirements:
- Strong Python programming skills.
- Experience with BigQuery, Postgres, SQL.
- Strong statistics and econometrics knowledge.
- Experience working with the following libraries: pandas, numpy, scikit-learn, keras, pystan, pytorch, matplotlib.
- Experience with cloud technologies (AWS, Azure, GCP).
- Familiarity with CI/CD processes.
- Experience integrating with REST APIs.
- Experience working with Kubernetes, Docker, Terraform, and Airflow.
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Data Scientist employer: Expert Employment
Contact Detail:
Expert Employment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your Python programming skills in any discussions or networking opportunities. Being able to demonstrate your proficiency with Python can set you apart from other candidates.
✨Tip Number 2
Familiarize yourself with the specific cloud technologies mentioned in the job description, such as AWS, Azure, and GCP. Having hands-on experience or projects that utilize these platforms can be a great conversation starter during interviews.
✨Tip Number 3
Engage with the data science community online, especially on platforms like GitHub or LinkedIn. Sharing your projects or contributions related to libraries like pandas, numpy, or scikit-learn can help you build a strong professional presence.
✨Tip Number 4
Prepare to discuss your experience with CI/CD processes and containerization tools like Docker and Kubernetes. Being able to articulate how you've used these technologies in past projects will demonstrate your readiness for the role.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasize your strong Python programming skills and experience with BigQuery, Postgres, and SQL in your CV and cover letter. Tailor your application to showcase how your technical expertise aligns with the job requirements.
Showcase Your Experience: Detail your experience with libraries such as pandas, numpy, scikit-learn, keras, pystan, pytorch, and matplotlib. Provide specific examples of projects where you utilized these tools to solve real-world problems.
Demonstrate Cloud Knowledge: If you have experience with cloud technologies like AWS, Azure, or GCP, be sure to mention it. Discuss any relevant projects or tasks that involved these platforms to illustrate your familiarity.
Include CI/CD and Containerization Experience: Mention your familiarity with CI/CD processes and any experience you have with Kubernetes, Docker, Terraform, and Airflow. Highlight how these skills can contribute to the efficiency and effectiveness of the team.
How to prepare for a job interview at Expert Employment
✨Showcase Your Python Skills
Make sure to highlight your strong Python programming skills during the interview. Be prepared to discuss specific projects where you've utilized Python, and consider sharing code snippets or examples that demonstrate your proficiency.
✨Discuss Your Experience with Data Technologies
Be ready to talk about your experience with BigQuery, Postgres, and SQL. Prepare to explain how you've used these technologies in past projects and how they can be applied to solve client problems.
✨Demonstrate Your Statistical Knowledge
Since strong statistics and econometrics knowledge is crucial for this role, be prepared to answer questions related to statistical methods and their applications. You might also want to discuss any relevant coursework or projects that showcase your expertise.
✨Familiarize Yourself with Cloud Technologies
As cloud technologies like AWS, Azure, and GCP are important for this position, make sure you can discuss your experience with them. Highlight any specific projects where you've implemented cloud solutions and how they benefited the overall outcome.
