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- Tasks: Join a small team to drive data insights in the gaming industry.
- Company: An award-winning gaming company expanding globally.
- Benefits: Enjoy a fully remote role with a competitive salary up to £150,000.
- Why this job: Be part of an innovative team shaping the future of gaming with cutting-edge technology.
- Qualifications: Strong academics or relevant industry experience in Data Science, Python, and SQL required.
- Other info: No sponsorship available; must have suitable Right To Work.
The predicted salary is between 90000 - 210000 £ per year.
Senior Data Scientist – Up to £150,000 – Fully Remote Salary: Paying Up to £150,000 Working Arrangements: Fully Remote Must have suitable Right To Work, No Sponsorship The Company An industry leading gaming company are looking for a Senior Data Scientist to join their small but established team. This award winning firm are continuing the grow their presence on a globe scale. The Role You will be working closely with the Head of Data and Lead Data Scientist Strong academics are preferred, although they also value industry experience highly Automation, Machine Learning (ML) and Quantitative backgrounds are beneficial Valued Technical Skills Python SQL Streamlined Interview Process! Senior Data Scientist – Up to £150,000 – Fully Remote
Senior Data Scientist employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your experience with automation and machine learning in your conversations. Highlight specific projects where you've successfully implemented these technologies, as this will resonate well with the team.
✨Tip Number 2
Familiarize yourself with the gaming industry and its data challenges. Being able to discuss relevant trends or issues in gaming data science can set you apart during interviews.
✨Tip Number 3
Prepare to discuss your technical skills in Python and SQL in detail. Be ready to explain how you've used these tools in past roles to solve complex problems or improve processes.
✨Tip Number 4
Since the interview process is streamlined, practice answering common data science interview questions concisely. This will help you make a strong impression quickly and effectively.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in automation and machine learning. Use specific examples to demonstrate your skills in Python and SQL.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the gaming industry and your understanding of data science's role within it. Mention how your background aligns with the company's goals and values.
Highlight Your Academic and Industry Experience: Clearly outline your academic qualifications and any relevant industry experience. Emphasize any awards or recognitions you've received in the field of data science.
Prepare for Technical Questions: Anticipate technical questions related to Python, SQL, and machine learning during the interview process. Be ready to discuss your previous projects and the methodologies you used.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've utilized these skills, as this will demonstrate your hands-on experience and technical expertise.
✨Discuss Automation and Machine Learning
Since the role emphasizes automation and machine learning, come ready to share examples of how you've implemented these technologies in past projects. This will show your understanding of current trends and your ability to apply them effectively.
✨Emphasize Your Academic and Industry Experience
While strong academics are preferred, industry experience is equally valued. Be prepared to discuss how your educational background complements your practical experience, and how both have shaped your approach to data science.
✨Prepare for a Streamlined Interview Process
With a streamlined interview process, it's important to be concise and focused in your responses. Practice answering common data science questions clearly and confidently, ensuring you convey your thought process and problem-solving abilities.
