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For Companies At a Glance
- Tasks: Support innovative data projects and gain hands-on experience in AI and machine learning.
- Company: Join Metail, a leading tech company focused on R&D in machine learning and AI.
- Benefits: Competitive salary, remote work flexibility, and access to WeWork spaces across the UK.
- Why this job: Dive into the exciting world of data science and make a real impact with cutting-edge technology.
- Qualifications: Degree in a quantitative field and proficiency in Python; eagerness to learn is key!
- Other info: Fast-paced environment with opportunities for growth and collaboration in an international team.
The predicted salary is between 24000 - 36000 £ per year.
Full-time, Permanent UK Remote based role with regular visits to Cambridge offices. £30,000 - £45,000 Negotiable dependant on experience.
About them
Metail Limited is a small, leading software technology development company with a strong R&D focus on machine learning and AI. We work closely with our parent company TAL Apparel, who are a leading global garment manufacturer. TAL Apparel is committed to innovation, sustainability and customer satisfaction and the work we do at Metail supports their vision. All staff are given access to a WeWork membership allowing all employees to work remotely across the UK. The team meets in Cambridge on a regular basis and we would expect the successful candidate to travel to Cambridge.
The Role
We are seeking a Junior Data Scientist to support both Metail and our parent company TAL Apparel. This is a fast-paced role where you will work on multiple projects simultaneously, gaining valuable exposure to a broad range of data initiatives. The successful candidate will be a self-starter who is enthusiastic about data science, motivated to solve real-world problems, and eager to learn quickly. You will gain hands-on experience across the full data science lifecycle and have the opportunity to work on innovative Large Language Model (LLM) and Generative AI applications.
About you
This exciting opportunity is open to applications from entry level but also welcomes those with c 1-2 years' experience looking to develop in the cutting edge of Data Science space. We are looking for the post-holder to have the following skills and experience:
- Degree in data science, computer science, mathematics, statistics or a related quantitative discipline
- Hands-on proficiency with Python and experience in typical data science libraries
- Strong statistical analysis skills and ability to apply them to real-world problems
- Keen interest in AI and familiarity with the latest LLM developments
- Knowledge of machine learning concepts and predictive models
- Curiosity and adaptability - you enjoy working on varied projects and are eager to learn new technologies
- Self-motivated, capable of working independently without regular supervision
- Strong time-management skills and ability to deliver high-quality work under tight deadlines in a fast-paced environment
- Ability to communicate with various stakeholders from both technical and non-technical backgrounds
- Strong interpersonal skills and ability to work collaboratively in an international team environment
Applications to be made to our recruitment partner, Datatech Analytics. Applications will be considered upon receipt; therefore, early applications are encouraged. We will only contact those who have been shortlisted. All candidates must already hold the right to work in the UK when applying for this position. Metail Limited is an equal-opportunity employer and encourages candidates from all backgrounds to apply.
Junior Data Scientist in Cambridge employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data science questions and showcasing your projects. We recommend having a portfolio ready that highlights your skills in Python and machine learning – it’ll make you stand out!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests, like Metail. Tailor your approach to show how your passion for AI and data science fits their mission.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression. Plus, it shows your enthusiasm for the role and keeps you on their radar as they make decisions.
We think you need these skills to ace Junior Data Scientist in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that match the Junior Data Scientist role. We want to see your hands-on proficiency with Python and any relevant projects you've worked on, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your enthusiasm for data science and how you can contribute to our innovative projects. Let us know why you're excited about working with Metail and TAL Apparel.
Showcase Your Projects: If you've worked on any data science projects, whether in school or on your own, make sure to mention them. We love seeing practical applications of your skills, especially if they relate to AI or machine learning!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered as soon as possible. Don’t wait too long; early applications are always a plus!
How to prepare for a job interview at Datatech
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals, especially around Python and the libraries commonly used in the field. Be ready to discuss how you've applied statistical analysis to real-world problems, as this will show your practical understanding of the role.
✨Show Your Enthusiasm for AI
Since the role involves working with innovative AI applications, express your keen interest in AI and any familiarity you have with Large Language Models. Share any personal projects or experiences that highlight your passion for this area.
✨Demonstrate Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using data science techniques. This could be from your studies or any relevant experience. Highlight your curiosity and adaptability, as these traits are crucial for the fast-paced environment at Metail.
✨Communicate Effectively
Practice explaining technical concepts in simple terms, as you'll need to communicate with both technical and non-technical stakeholders. Good interpersonal skills are key, so think about how you can showcase your ability to work collaboratively in a team setting.