At a Glance
- Tasks: Dive into data, design algorithms, and deliver insights that drive business decisions.
- Company: Innovative UK-based company at the forefront of AI and data science.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge technology.
- Other info: Collaborate with world-class experts in a dynamic and supportive environment.
- Why this job: Launch your career in AI and make a real impact on global companies.
- Qualifications: Degree in relevant field or 1-2 years of data science experience 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) in London 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 focus on employee growth, we offer a dynamic work culture where your contributions directly impact cutting-edge projects and strategic business decisions. Enjoy the benefits of working alongside world-class professionals in a supportive environment that fosters curiosity and ambition, making it an ideal place to launch your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Full-Time) in London
✨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 your technical skills and common data science questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 ready to dive into the world of AI and data science.
We think you need these skills to ace Data Scientist (Full-Time) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical skills in programming languages and machine learning techniques. We want to see how you can apply your knowledge to real-world data challenges, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Data Scientist role. Mention any relevant projects or experiences that align with our work in AI and data science.
Be Curious:We love curiosity! In your application, share examples of how you've explored data or tackled complex problems. This shows us you're not just looking for a job, but are genuinely interested in the field.
Apply Through Our Website:For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
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.
