Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse text data and deploy machine learning models for real-world impact.
- Company: Fable Data, a forward-thinking company in the UK.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Other info: Exciting chance to develop product concepts and improve ML models.
- Why this job: Make a real difference by enhancing AI accuracy in large datasets.
- Qualifications: 2+ years of experience with SQL and Python, plus teamwork skills.
The predicted salary is between 50000 - 60000 £ per year.
Fable Data in the United Kingdom is seeking a talented Data Scientist to advance their career. The role focuses on analyzing text data, using AI, and deploying machine learning models to enhance accuracy in large datasets.
Ideal candidates will have at least 2 years of experience with SQL and Python, a knack for data quality, and the ability to thrive in a collaborative environment.
Opportunities to assist in developing product concepts and improving ML models will be available.
Text Data Scientist — NLP, ML Ops & Real-World Impact in England employer: Fable Data
Contact Detail:
Fable Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Text Data Scientist — NLP, ML Ops & Real-World Impact in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and ML. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Practice common data science problems and be ready to discuss how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team at Fable Data.
We think you need these skills to ace Text Data Scientist — NLP, ML Ops & Real-World Impact in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any projects related to text data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about NLP and ML Ops. Share specific examples of how you've used these technologies in the past and how they can make a real-world impact.
Showcase Collaboration Skills: Since we thrive in a collaborative environment, mention any team projects or experiences where you worked closely with others. Highlight how you contributed to the team's success and what you learned from those experiences.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Fable Data
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your NLP Knowledge
Since the role focuses on text data, be prepared to talk about your experience with Natural Language Processing. Bring examples of how you've applied NLP techniques in past projects and the impact they had on the results.
✨Emphasise Collaboration
Fable Data values teamwork, so highlight your ability to work in a collaborative environment. Share stories that demonstrate how you've successfully worked with others to achieve common goals, especially in developing product concepts or improving ML models.
✨Prepare for Real-World Applications
Think about how your work can have a real-world impact. Be ready to discuss how you've used data science to solve practical problems and how you envision applying your skills at Fable Data to enhance accuracy in large datasets.