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- Tasks: Analyse social media data for insights using NLP techniques.
- Company: Exciting startup with a focus on innovation and growth.
- Benefits: Flexible working hours, competitive salary, and opportunities for professional development.
- Why this job: Join a dynamic team and make an impact in the world of data science.
- Qualifications: 5 years of NLP experience, including 3 years in a commercial setting.
- Other info: Fast-paced environment with plenty of room for creativity and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
About You
You will be naturally motivated to work in a start-up environment. You will be able to identify the best opportunities for named entity recognition, topic analysis, and sentiment analysis on large volumes of social media data. You will have experience of software engineering best practices and cloud computing. You will have 5 years’ experience in NLP across academia and commercially, with at least 3 years commercially.
Data Scientist – NLP in Glasgow employer: Propel London
Contact Detail:
Propel London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – NLP in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in NLP or data science. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in named entity recognition, topic analysis, and sentiment analysis. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past experiences. We recommend practising common data science interview questions 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 about their job search.
We think you need these skills to ace Data Scientist – NLP in Glasgow
Some tips for your application 🫡
Show Your Passion for NLP: Let us see your enthusiasm for Natural Language Processing! Share specific projects or experiences where you've tackled named entity recognition, topic analysis, or sentiment analysis. This will help us understand your motivation and expertise in the field.
Highlight Your Software Engineering Skills: We love a candidate who knows their way around software engineering best practices. Make sure to mention any relevant tools, languages, or methodologies you've used in your previous roles. This will show us that you can bring solid engineering skills to our team.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Scientist – NLP role. We want to see how your unique experiences align with what we’re looking for.
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. Plus, it shows us you’re keen to join the StudySmarter family!
How to prepare for a job interview at Propel London
✨Know Your NLP Stuff
Make sure you brush up on your knowledge of named entity recognition, topic analysis, and sentiment analysis. Be ready to discuss specific projects where you've applied these techniques, especially in a commercial setting.
✨Showcase Your Software Engineering Skills
Since the role requires experience in software engineering best practices, prepare examples of how you've implemented these in your previous work. Talk about your coding standards, version control, and any collaborative tools you've used.
✨Cloud Computing Familiarity
Familiarise yourself with cloud computing platforms relevant to data science. Be prepared to discuss how you've leveraged cloud services for NLP tasks, as this will show your ability to handle large volumes of data effectively.
✨Startup Mindset
Demonstrate your motivation to thrive in a startup environment. Share experiences where you've adapted quickly, taken initiative, or contributed to a fast-paced team. This will highlight your fit for the dynamic nature of the role.
