At a Glance
- Tasks: Dive into data, design algorithms, and deliver insights that drive business decisions.
- Company: Innovative UK-based company using cutting-edge AI for language understanding.
- Benefits: Competitive salary, career growth, and the chance to work with top professionals.
- Other info: Collaborate with world-class data scientists and enjoy a dynamic work environment.
- Why this job: Launch your career in AI and data science while tackling real-world challenges.
- Qualifications: Bachelor's degree or 1-2 years of experience in data science; programming skills required.
The predicted salary is between 30000 - 40000 £ per year.
Requirements
- Bachelor's degree in Mathematics, Computer Science, Physics or Engineering (Desirable)
- 1-2 years of work experience in data science or data modelling (Desirable)
- Deep understanding of machine learning (ML), clustering and classification techniques
- Fluency in a programming language (Python, C, C++, Java, SQL)
- Familiarity with Big Data frameworks and visualisation tools (Cassandra, Hadoop, Spark, Tableau)
What the job involves
- Dive into raw data to assess quality, clean and structure it, and prepare it for downstream processing related to specific projects
- Design and implement scalable, high-performance prediction algorithms
- Collaborate with data scientists and software engineers to transform prototypes into robust, production-ready systems
- Deliver insights that drive strategic business decisions and improvements
Data Scientist (Full-Time) employer: Glass.AI
Join a forward-thinking UK-based company that champions innovation and collaboration in the field of AI and data science. With a strong emphasis on employee growth, we offer a dynamic work culture where you can tackle real-world challenges alongside world-class experts, all while enjoying the benefits of cutting-edge technology and a supportive environment that fosters creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Full-Time)
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and data visualisation. We love seeing practical applications of your knowledge, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and coding challenges. We recommend practising with friends or using online platforms to simulate the real deal. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates like you!
We think you need these skills to ace Data Scientist (Full-Time)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical skills in your application. We want to see your fluency in programming languages like Python or Java, and any experience you have with machine learning techniques. Don’t be shy—this is your chance to shine!
Tailor Your CV:Customise your CV to match the job description. Use keywords from the listing, especially around data science and AI. This helps us see that you’re a perfect fit for our team and makes your application stand out.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re excited about this role and how your background aligns with our needs. Share specific examples of your work or projects that relate to data science and AI. We love hearing your story!
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 don’t miss any important updates. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Glass.AI
✨Know Your Data Science Fundamentals
Brush up on your machine learning concepts, clustering, and classification techniques. Be ready to discuss how you've applied these in past projects or coursework, as this will show your understanding and passion for the field.
✨Showcase Your Programming Skills
Make sure you’re fluent in at least one programming language relevant to the role, like Python or SQL. Prepare to talk about specific projects where you’ve used these languages, and be ready to solve a coding challenge during the interview.
✨Familiarise Yourself with Big Data Tools
Get comfortable with tools like Hadoop, Spark, or Tableau. If you have experience using them, share specific examples of how you’ve leveraged these technologies to derive insights from data.
✨Prepare Questions for Your Interviewers
Think of insightful questions to ask about the company’s AI projects and data challenges. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
