Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead exciting projects in data science and create innovative data solutions.
- Company: Inclusive UK-based tech firm with a collaborative culture.
- Benefits: Competitive salary of £65k, 10% bonus, and fully remote work.
- Why this job: Make an impact with machine learning and natural language processing in a dynamic environment.
- Qualifications: Strong background in data science and excellent communication skills.
- Other info: Great opportunity for career growth and working with cutting-edge technology.
The predicted salary is between 39000 - 65000 £ per year.
A UK-based technology firm is seeking a Mid-Senior Data Scientist to lead various projects in an inclusive and collaborative environment. The role involves creating data solutions, preparing large datasets, and deploying machine learning models primarily using Python and SQL. The position is fully supported for remote work and offers a competitive salary of approximately £65k with a 10% bonus.
Ideal candidates will have:
- a strong background in data science,
- excellent communication skills,
- the ability to explain technical ideas clearly.
Senior Data Scientist — End-to-End ML/NLP, Remote employer: North Scout
Contact Detail:
North Scout Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — End-to-End ML/NLP, Remote
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving ML and NLP. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common interview questions. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist — End-to-End ML/NLP, Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant ML/NLP projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
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 inclusive and collaborative environment. Let us know what excites you about this role!
Showcase Your Communication Skills: Since we value clear communication, make sure your application reflects your ability to explain complex ideas simply. Whether it’s in your CV or cover letter, clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at North Scout
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially around machine learning and natural language processing. Be ready to discuss your previous projects in detail, focusing on the methodologies you used and the outcomes achieved.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or explain how you would approach a specific data challenge, so practice coding problems and be ready to articulate your thought process.
✨Communicate Clearly and Effectively
Since excellent communication skills are essential for this role, practice explaining complex technical ideas in simple terms. Use examples from your past experiences to illustrate how you've successfully communicated with non-technical stakeholders.
✨Research the Company Culture
Understand the company's values and work environment. Since they emphasise inclusivity and collaboration, think of examples from your past where you contributed to a team dynamic and how you can bring that to their team.
