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- Tasks: Dive into social media data for entity recognition, topic analysis, and sentiment analysis.
- Company: Join a dynamic startup that thrives on innovation and creativity.
- Benefits: Enjoy flexible working options and a vibrant company culture.
- Why this job: Make an impact in the fast-paced world of NLP while growing your skills.
- Qualifications: 5 years in NLP, with 3 years in a commercial setting; software engineering experience required.
- Other info: Ideal for those who thrive in a startup environment and love tackling big data challenges.
The predicted salary is between 43200 - 72000 £ per year.
About You: You will be naturally motivated to work in a startup 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 employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – NLP
✨Tip Number 1
Familiarise yourself with the latest trends in NLP, especially in named entity recognition and sentiment analysis. Being able to discuss recent advancements or tools during your interview can really set you apart.
✨Tip Number 2
Showcase your experience with cloud computing platforms like AWS or Google Cloud. Be prepared to discuss specific projects where you've implemented these technologies, as this will demonstrate your practical knowledge.
✨Tip Number 3
Network with professionals in the data science and NLP fields. Attend meetups or webinars to connect with others who might have insights into our company culture and the role itself.
✨Tip Number 4
Prepare to discuss how you approach problem-solving in a startup environment. Highlight any past experiences where you've had to adapt quickly or innovate under pressure, as this aligns well with our dynamic work culture.
We think you need these skills to ace Data Scientist – NLP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in NLP, particularly focusing on named entity recognition, topic analysis, and sentiment analysis. Use specific examples from your past roles to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: In your cover letter, express your motivation for working in a startup environment. Discuss how your background in software engineering and cloud computing aligns with the company's needs, and mention your 5 years of experience in NLP.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving large volumes of social media data, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to NLP or data science that you've completed. This shows your commitment to staying updated in the field and your enthusiasm for continuous improvement.
How to prepare for a job interview at TN United Kingdom
✨Show Your Passion for NLP
Make sure to express your enthusiasm for natural language processing during the interview. Share specific projects or experiences where you successfully applied NLP techniques, especially in areas like named entity recognition and sentiment analysis.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with software engineering best practices and cloud computing. Highlight any relevant tools or frameworks you've used, and consider bringing examples of your work that showcase your technical abilities.
✨Understand the Startup Culture
Since the role is in a startup environment, show that you understand the dynamics of working in such settings. Discuss how you adapt to fast-paced changes and your ability to wear multiple hats, which is often required in startups.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios related to NLP. Practice articulating your thought process when tackling challenges, particularly those involving large volumes of social media data. This will demonstrate your analytical skills and practical knowledge.
