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- Tasks: Join a multicultural team to design AI and automation solutions using machine learning.
- Company: Work for a leading multinational IT company at the forefront of technology.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Make an impact by analyzing data and creating prototypes that drive real-world solutions.
- Qualifications: Bachelor's or Master's in relevant fields; experience with AWS, GCP, or Azure required.
- Other info: Ideal for tech enthusiasts eager to dive into machine learning and data analytics.
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
Familiarize yourself with the specific machine learning algorithms and concepts mentioned in the job description. Being able to discuss these in detail during your interview will show that you have a deep understanding of the field.
✨Tip Number 2
Make sure to highlight any projects or experiences where you've used AWS, GCP, or Azure. Be prepared to discuss how you utilized these platforms to solve real-world problems, as this will demonstrate your practical experience.
✨Tip Number 3
Brush up on your SQL skills and be ready to showcase your ability to analyze large datasets. You might be asked to solve a problem on the spot, so practice writing queries that extract meaningful insights from data.
✨Tip Number 4
Since you'll be working in a multicultural team, emphasize your teamwork and communication skills. Share examples of how you've successfully collaborated with diverse groups in the past to highlight your adaptability.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with AWS, GCP, or Azure in your CV and cover letter. Mention specific projects where you utilized these platforms, as this will demonstrate your practical knowledge.
Showcase Your Skills in Data Analytics: In your application, clearly outline your proficiency in Python libraries such as Pandas, NumPy, Scikit Learn, and SciPy. Provide examples of how you've used these tools to analyze data and generate insights.
Demonstrate Machine Learning Knowledge: Include a section in your application that discusses your understanding of machine learning concepts and algorithms. You could mention any relevant coursework, projects, or certifications that showcase your expertise.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the job posting, such as 'data analytics', 'machine learning', and 'multicultural team', to make your application stand out.
How to prepare for a job interview at Expert Employment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and data analytics libraries like Pandas, NumPy, and Scikit Learn. Bring examples of projects where you've applied these skills, as this will demonstrate your hands-on experience.
✨Understand Machine Learning Concepts
Make sure you can explain key machine learning concepts and algorithms clearly. Be ready to discuss how you've implemented these in past projects, as well as any challenges you faced and how you overcame them.
✨Familiarize Yourself with Cloud Platforms
Since the role requires experience with AWS, GCP, or Azure, review the services offered by these platforms. Be prepared to discuss how you've used cloud technologies in your previous work and how they can enhance data science projects.
✨Prepare for Behavioral Questions
Expect questions about working in multicultural teams and how you handle collaboration. Think of examples that highlight your teamwork skills and adaptability, as these are crucial in a diverse environment.
