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- Tasks: Lead a team to develop innovative NLP solutions using the latest tech.
- Company: Dynamic company focused on cutting-edge data science advancements.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Why this job: Make a real impact in the world of data science while leading a talented team.
- Qualifications: 3+ years in data science, strong NLP skills, and leadership potential.
- Other info: Join a collaborative environment that values creativity and innovation.
The predicted salary is between 43200 - 72000 £ per year.
We are currently hiring for an enthusiastic and driven data scientist who strives to go above and beyond to deliver outside of the box solutions. We will give you the chance to leverage the latest advancements in technology to create solutions which are centred around Natural Language Processing (NLP). You will be hands-on with the development while leading a small yet highly capable team of data scientists and engineers which will support you.
Requirements:
- A minimum of 3 years experience in a data science position
- Natural Language Processing (NLP) - strong experience
- Python
- SQL
- Enjoys the idea of remaining hands-on but also taking on leadership responsibilities
Preferred:
- A relevant degree
Senior Data Scientist employer: CatchFish
Contact Detail:
CatchFish Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for a Senior Data Scientist role. You never know who might have the inside scoop on an opportunity that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and leadership experience. Be ready to discuss how you've tackled challenges in previous roles and how you can lead a team effectively while staying hands-on.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for enthusiastic candidates like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let your enthusiasm for data science shine through! We want to see how you go above and beyond in your projects, especially with NLP. Share specific examples that highlight your creativity and problem-solving skills.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight your experience with Python and SQL, and don’t forget to mention any leadership roles you've had. We love seeing how your background aligns with what we’re looking for!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Use bullet points where necessary to make your achievements stand out, and avoid jargon unless it’s relevant to the role.
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at CatchFish
✨Know Your NLP Stuff
Make sure you brush up on your knowledge of Natural Language Processing. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of experience and passion for the field.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully managed projects or mentored others. Highlight your ability to inspire and guide a team while still being hands-on with the technical aspects.
✨Demonstrate Your Technical Proficiency
You’ll want to showcase your skills in Python and SQL during the interview. Consider preparing a small coding challenge or discussing a complex problem you've solved using these languages. This will help demonstrate your technical capabilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data science and their future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals.
