Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse large datasets to drive AI model design and improvement.
- Company: Join a forward-thinking company focused on data-driven innovation.
- Benefits: Earn $90/hr, enjoy remote work, and access professional development.
- Why this job: Make an impact in AI by leveraging your data science skills.
- Qualifications: Strong background in data science and proficiency in Python required.
- Other info: Work independently in a fully remote environment with great growth potential.
The predicted salary is between 13 - 16 £ per hour.
Analyze large datasets to extract insights that inform AI model design and refinement.
Develop and apply statistical models, machine learning techniques, and evaluation frameworks.
Conduct performance assessments and data quality reviews on AI model outputs.
Build reusable tools for data processing, visualization, and reporting.
Partner with research teams to test hypotheses and scale experimental workflows.
Support data-driven experimentation and continuous model improvement initiatives.
Requirements
- Strong professional background in data science, machine learning, or related analytical fields.
- Proficiency in Python and core data science libraries (e.g., pandas, NumPy, scikit-learn).
- Familiarity with large-scale data environments and version-controlled workflows.
- Strong understanding of statistical analysis, experimental design, and model validation.
- Excellent written communication skills and ability to collaborate across technical teams.
- Ability to work independently in a fully remote environment.
Data Science Experts | $90/hr Remote in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Experts | $90/hr Remote in London
✨Tip Number 1
Network like a pro! Reach out to fellow data science enthusiasts 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 machine learning. We love seeing real-world applications of your expertise, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your statistical analysis and model validation knowledge. We recommend practising common interview questions and even doing mock interviews with friends 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’re always on the lookout for passionate data science experts like you!
We think you need these skills to ace Data Science Experts | $90/hr Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or tools you've used!
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. Keep it concise but engaging – we love a good story!
Showcase Your Skills: When filling out your application, be specific about your proficiency in Python and any data science libraries. We’re keen to know how you’ve applied these skills in real-world scenarios, so give us some examples!
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’s super easy – just a few clicks and you’re done!
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 techniques. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience.
✨Show Off Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your knowledge of core libraries like pandas, NumPy, and scikit-learn. You might be asked to solve a problem or explain how you would approach a data analysis task using these tools.
✨Communicate Clearly
Excellent written communication skills are key, so practice explaining complex concepts in simple terms. Think about how you can convey your ideas clearly, especially when discussing your collaboration with research teams or presenting your findings.
✨Be Ready for Remote Work Questions
As the role is fully remote, be prepared to discuss how you manage your time and stay productive while working independently. Share examples of how you've successfully collaborated with teams in a remote setting to highlight your adaptability.
