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- Tasks: Join us as a Data Scientist, tackling real-world problems with data analysis and machine learning.
- Company: Be part of a leading cryptocurrency exchange platform that's shaping the future of finance.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Dive into the exciting world of cryptocurrency and blockchain technology while making impactful contributions.
- Qualifications: 4+ years in data science, strong skills in SQL and Python, and a degree in a quantitative field.
- Other info: This is a permanent position with a dynamic team focused on innovation.
The predicted salary is between 60000 - 70000 £ per year.
Data Scientist – Competitive annual salary of between £60,000 – £70,000 dependent on experience Hybrid – 3 days office based / 2 days remote One of the leading cryptocurrency exchange platforms are aiming to build their team and are seeking a mid-level Data Scientist on a permanent basis with experience in SQL and Python. Responsibilities 4+ years of relevant experience. BA/BS+ in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥ Understanding of developing strategic recommendations and applying concepts in ML, A|B testing etc. Experience in SQL. Experience in programming/modelling in Python. What you’ll bring: A passion for Cryptocurrency and interest in blockchain technology Demonstrative knowledge and application of Python and SQL. Familiarity with statistical analysis and machine learning concepts Ambition and drive to tackle company issues.
Data Scientist employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your passion for cryptocurrency and blockchain technology during the interview. This industry is fast-paced and constantly evolving, so demonstrating your enthusiasm can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss specific projects where you've applied SQL and Python. Be ready to explain your thought process and the impact of your work, as this will highlight your practical experience and problem-solving skills.
✨Tip Number 3
Familiarize yourself with the latest trends in machine learning and statistical analysis. Being able to discuss recent advancements or case studies can demonstrate your commitment to staying updated in the field.
✨Tip Number 4
Network with professionals in the cryptocurrency space. Engaging with others in the industry can provide valuable insights and potentially lead to referrals, which can significantly increase your chances of landing the job.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant projects or roles that demonstrate your skills in statistical analysis and machine learning. Use keywords from the job description to catch their attention.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cryptocurrency and blockchain technology. Discuss how your background aligns with the responsibilities of the Data Scientist role and provide specific examples of your work in ML and A/B testing.
Showcase Relevant Experience: When detailing your work experience, focus on your 4+ years in relevant fields. Highlight specific achievements or projects where you applied your knowledge of Python and SQL to solve problems or drive results.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Prepare to explain your experience with statistical analysis, machine learning concepts, and how you've used SQL and Python in past projects.
How to prepare for a job interview at Opus Recruitment Solutions
✨Show Your Passion for Cryptocurrency
Make sure to express your enthusiasm for cryptocurrency and blockchain technology during the interview. Share any personal projects or experiences that highlight your interest in this field.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring examples of past projects where you applied these skills, and be ready to solve a technical problem on the spot.
✨Understand Machine Learning Concepts
Brush up on your knowledge of machine learning and statistical analysis. Be ready to explain how you've used these concepts in previous roles and how they can be applied to the company's needs.
✨Prepare Strategic Recommendations
Think about how you would approach developing strategic recommendations based on data analysis. Be ready to discuss your thought process and how you would tackle real-world problems the company might face.
