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- Tasks: Lead model development for ML & AI applications and tackle complex data challenges.
- Company: Data-centric tech firm in the UK with a focus on innovation.
- Benefits: Remote work flexibility, competitive salary, and opportunities for in-office collaboration.
- Why this job: Make an impact in the exciting field of AI while working with cutting-edge technology.
- Qualifications: 3+ years of experience in data science and proficiency in Python.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A data-centric technology firm in the UK is seeking a Lead Data Scientist to drive model development for various applications. The role emphasizes collaboration with product and engineering teams, requiring 3+ years of relevant experience and proficiency in Python. Candidates will work on classification, prediction, and recommendation systems, tackling complex data challenges. The position is primarily remote, with opportunities for in-office collaboration in Berlin.
Remote Lead Data Scientist — ML & AI Solutions in London employer: HASH
Contact Detail:
HASH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Lead Data Scientist — ML & AI Solutions in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with ML and AI. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in classification, prediction, and recommendation systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in data science. We recommend practising common interview questions and coding challenges to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Remote Lead Data Scientist — ML & AI Solutions in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any relevant projects you've worked on. We want to see how you’ve tackled complex data challenges in the past!
Collaboration is Key: Since this role involves working closely with product and engineering teams, don’t forget to mention any collaborative projects. We love seeing how you can work well with others!
Tailor Your Application: Take a moment to customise your application for this specific role. We appreciate when candidates align their experiences with what we’re looking for in a Lead Data Scientist.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at HASH
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around classification, prediction, and recommendation systems. Be ready to discuss your past projects and how you've tackled complex data challenges using Python.
✨Show Off Your Collaboration Skills
Since this role involves working closely with product and engineering teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects you've been part of and how you contributed to their success.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your thought process when developing models and be ready to solve a problem on the spot. This will showcase your analytical skills and ability to think critically under pressure.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to ML & AI solutions, the team dynamics, or future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
