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- Tasks: Build text-based classification models and ensure data quality with extensive datasets.
- Company: Fable Data, a fast-paced company focused on real-world impact.
- Benefits: Collaborative environment with opportunities for innovation and growth.
- Other info: Join a dynamic team that values innovative problem-solving.
- Why this job: Make a real impact in the world of NLP and MLOps.
- Qualifications: 2+ years in SQL and Python, with machine learning or data analysis experience.
The predicted salary is between 40000 - 50000 £ per year.
Fable Data is seeking a Data Scientist in Hemel Hempstead, UK. You will contribute to building text-based classification models using extensive datasets. The ideal candidate has over 2 years of experience in SQL and Python, and a strong foundation in machine learning or data analysis.
Responsibilities include:
- Assisting in model deployment
- Exploring new product concepts
- Ensuring data quality
A fast-paced, collaborative environment is offered, requiring innovative problem-solving skills.
Text ML Scientist — NLP, MLOps & Real-World Impact employer: Fable Data
Contact Detail:
Fable Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Text ML Scientist — NLP, MLOps & Real-World Impact
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL and Python. We recommend sharing your work on platforms like GitHub to give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. We suggest practicing common data science scenarios and being ready to discuss how you’d tackle real-world challenges, especially in NLP and MLOps.
✨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 Text ML Scientist — NLP, MLOps & Real-World Impact
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant machine learning 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 text-based classification models and how your background makes you a great fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love innovative thinkers, so share any unique approaches you've taken to solve data-related problems.
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!
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, especially in building text-based classification models. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Fable Data is looking for innovative problem solvers, so think about times when you had to think outside the box to achieve results. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand Their Products and Goals
Do your homework on Fable Data's products and their impact in the industry. Being able to discuss how your skills can contribute to their goals will set you apart. Think about potential product concepts you could explore with them and be ready to share your ideas.
✨Emphasise Collaboration and Communication
Since the role involves working in a fast-paced, collaborative environment, highlight your teamwork experiences. Share instances where you successfully collaborated with others, especially in deploying models or ensuring data quality. Good communication skills are key, so be prepared to demonstrate how you can effectively share your insights with the team.