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- Tasks: Apply machine learning techniques to solve real-world problems and develop ML software products.
- Company: Leading technology solutions provider in the UK with a focus on innovation.
- Benefits: Collaborative environment, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by driving data-driven insights and working with cutting-edge technology.
- Qualifications: Master’s degree in a relevant field or equivalent experience in machine learning and Python.
- Other info: Engage with various stakeholders in a dynamic and supportive workplace.
The predicted salary is between 28800 - 48000 £ per year.
A technology solutions provider in the UK is seeking a Data Scientist proficient in machine learning and Python. You will be responsible for applying machine learning techniques to solve real-world problems and work with cloud platforms. A Master’s degree in a relevant field or equivalent experience is required. Enjoy a collaborative environment with the opportunity to develop industrialized ML software products and interact with various stakeholders to drive data-driven insights.
Data Scientist - ML, Optimization & Production Systems employer: Qualient Technology Solutions UK Limited
Contact Detail:
Qualient Technology Solutions UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - ML, Optimization & Production Systems
✨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 machine learning projects and optimisation techniques. This is your chance to demonstrate what you can do beyond just a CV, so let’s make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with cloud platforms. We recommend practising common data science interview questions to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search, so don’t hesitate to hit that apply button!
We think you need these skills to ace Data Scientist - ML, Optimization & Production Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've applied machine learning techniques to solve real-world problems. We’re looking for practical experience, so share specific instances where you’ve made an impact!
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Qualient Technology Solutions UK Limited
✨Know Your Machine Learning Stuff
Brush up on your machine learning concepts and techniques. Be ready to discuss specific algorithms you've used, how you applied them, and the outcomes. This shows you're not just familiar with theory but can also implement it in real-world scenarios.
✨Show Off Your Python Skills
Since Python is a key requirement, make sure you can talk about your experience with it. Prepare to share examples of projects where you've used Python for data analysis or machine learning. If you can, bring along code snippets or even a portfolio to showcase your work.
✨Understand Cloud Platforms
Familiarise yourself with the cloud platforms mentioned in the job description. Be prepared to discuss how you've used these platforms in past projects, especially in deploying ML models. This will demonstrate your ability to work in a modern tech environment.
✨Engage with Stakeholders
Since the role involves interacting with various stakeholders, think about how you've communicated complex data insights in the past. Prepare examples that highlight your collaboration skills and how you’ve translated technical jargon into understandable terms for non-technical audiences.
