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- Tasks: Analyse large datasets and develop statistical models using Python.
- Company: Leading data science company in the UK with a focus on innovation.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact through data-driven insights.
- Qualifications: Strong background in data science and proficiency in Python and relevant libraries.
- Other info: Collaborative environment with exciting projects and research initiatives.
The predicted salary is between 28800 - 48000 £ per year.
A data science company in the United Kingdom seeks an experienced data scientist to analyze large datasets and develop statistical models. The ideal candidate has a strong background in data science, proficiency in Python, and experience with data science libraries such as pandas, NumPy, and scikit-learn. You will collaborate with research teams and contribute to data-driven experimentation initiatives in a fully remote environment.
Remote Data Science Expert - ML & AI Model Insights in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Science Expert - ML & AI Model Insights in London
✨Tip Number 1
Network like a pro! Reach out to fellow data scientists on LinkedIn or join relevant online communities. We can’t stress enough how valuable connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data science libraries like pandas and NumPy. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. We recommend practising with friends or using mock interview platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Data Science Expert - ML & AI Model Insights in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and the data science libraries mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of our mission.
Showcase Your Projects: If you've worked on any interesting data science projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your practical experience and problem-solving skills in action.
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’re considered for the role. Plus, it gives you a chance to explore more about who we are and what we do!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around statistical models and machine learning. Be ready to discuss your experience with Python and libraries like pandas, NumPy, and scikit-learn. They’ll likely ask you to explain how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data analysis and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and problem-solving abilities.
✨Collaborate Like a Pro
Since this role involves working with research teams, be ready to discuss your experience in collaborative environments. Share examples of how you’ve worked with others to achieve data-driven results, and highlight your communication skills, especially in a remote setting.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data-driven experimentation initiatives or how they measure the success of their models. This shows you’re engaged and eager to contribute.
