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- Tasks: Join a dynamic team to develop innovative data solutions using NLP, ML, and DL.
- Company: Be part of a cutting-edge social network focused on technology and innovation.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and development.
- Why this job: Lead a talented team while working on exciting projects that make a real impact.
- Qualifications: 3+ years in data science, proficient in Python and R, with SQL knowledge.
- Other info: Hands-on leadership role in a fast-paced, tech-driven environment.
The predicted salary is between 43200 - 72000 £ per year.
We are currently hiring an enthusiastic and driven data scientist who strives to go above and beyond to deliver innovative solutions. We offer the chance to leverage the latest advancements in technology to create solutions centered around Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), and Neural Networks. You will be hands-on with development while leading a small yet highly capable team of data scientists and engineers who will support you.
Requirements:
- A minimum of 3 years of experience in a data science role
- Proficiency in Python
- Experience with R
- Knowledge of SQL
- Enjoys remaining hands-on while also taking on leadership responsibilities
Data Scientist employer: CatchFish
Contact Detail:
CatchFish Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP, ML, DL, and Neural Networks. Being able to discuss recent trends or breakthroughs in these areas during your interview will show your passion and commitment to the field.
✨Tip Number 2
Prepare to showcase your hands-on experience with Python and R. Consider working on a personal project or contributing to open-source projects that demonstrate your skills in these programming languages, as practical examples can make a strong impression.
✨Tip Number 3
Brush up on your SQL skills, as data manipulation and querying are crucial for a data scientist role. You might want to practice writing complex queries or optimising database performance to highlight your technical expertise.
✨Tip Number 4
Emphasise your leadership abilities by preparing examples of how you've successfully led teams or projects in the past. This could involve discussing how you motivated team members or resolved conflicts, showcasing your capability to lead while remaining hands-on.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly focusing on your proficiency in Python, R, and SQL. Include specific projects or achievements that demonstrate your skills in NLP, ML, DL, and Neural Networks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Discuss how your background aligns with their needs, especially your leadership experience and hands-on approach to data science.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or links to your work. Highlight any innovative solutions you've developed using the latest technologies in data science.
Prepare for Technical Questions: Anticipate technical questions related to data science concepts, particularly those involving NLP, ML, and DL. Be ready to discuss your problem-solving approach and any challenges you've faced in previous roles.
How to prepare for a job interview at CatchFish
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, R, and SQL. Bring examples of past projects where you've successfully applied these skills, especially in NLP, ML, or DL.
✨Demonstrate Leadership Experience
Since the role involves leading a team, share specific instances where you've taken on leadership responsibilities. Highlight how you motivated your team and drove projects to success.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in data science technologies. Be ready to discuss how you can leverage these trends to create innovative solutions for the company.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask the interviewers. This shows your genuine interest in the role and helps you understand the company's culture and expectations better.
