At a Glance
- Tasks: Develop machine learning models and data pipelines in a collaborative Agile environment.
- Company: Leading technology company with a focus on innovation and growth.
- Benefits: Competitive salary, career advancement options, and flexible working arrangements.
- Why this job: Join a fast-growing organisation and make an impact with your data science skills.
- Qualifications: Strong Python skills and experience with cloud platforms and machine learning techniques.
- Other info: Dynamic team culture with opportunities for professional development.
The predicted salary is between 28800 - 48000 £ per year.
A leading technology company seeks a full-stack Data Scientist to develop machine learning models and data pipelines in a collaborative Agile environment. The ideal candidate will have strong skills in Python and cloud platforms, along with experience in machine learning techniques. This is a great opportunity to be part of a fast-growing organization that offers competitive salaries, options for career advancement, and a flexible working environment.
Data Scientist - Full-Stack ML & Optimization (Flexible) employer: Amach
Contact Detail:
Amach Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Full-Stack ML & Optimization (Flexible)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and data pipelines. This is your chance to demonstrate your expertise in Python and cloud platforms, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and common ML techniques. Practice explaining your thought process and problem-solving approach, as this will help us see how you fit into our collaborative environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Data Scientist - Full-Stack ML & Optimization (Flexible)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and machine learning expertise in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with data pipelines and cloud platforms!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences to what we’re looking for in a full-stack Data Scientist.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our fast-growing team!
How to prepare for a job interview at Amach
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any cloud platforms mentioned in the job description. Be ready to discuss specific projects where you've implemented machine learning techniques, as this will show your practical experience.
✨Showcase Your Collaboration Skills
Since the role involves working in a collaborative Agile environment, be prepared to share examples of how you've successfully worked in teams. Highlight your communication skills and how you contribute to group problem-solving.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practise common data science problems and be ready to explain your thought process clearly. This will demonstrate your analytical skills and ability to think on your feet.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, or future goals. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.