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- Tasks: Develop machine learning and optimisation models in a collaborative product squad.
- Company: Specialist talent acquisition consultancy in the UK with a focus on innovation.
- Benefits: Hybrid work arrangement, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact with cutting-edge machine learning solutions.
- Qualifications: Strong experience in production ML and agile teamwork skills.
- Other info: Work 3 days a week on-site at Heathrow for a balanced work-life experience.
The predicted salary is between 36000 - 60000 £ per year.
A specialist talent acquisition consultancy in the UK seeks a Data Scientist specializing in optimisation. The role involves developing machine learning and optimisation models as part of a product squad, ensuring integration into business processes.
Candidates should have strong experience with production ML and the ability to work collaboratively in an agile environment. The position offers a hybrid work arrangement, requiring 3 days per week on site at Heathrow.
Data Scientist - Optimisation for Industrial ML | Hybrid in London employer: Advanced Resource Managers Ltd
Contact Detail:
Advanced Resource Managers Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Optimisation for Industrial ML | Hybrid in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working as Data Scientists. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning and optimisation projects. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data science and optimisation, and be ready to discuss how you've collaborated in agile environments.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Scientist - Optimisation for Industrial ML | Hybrid in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with production ML and optimisation models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our product squad. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since this role involves working in an agile environment, make sure to mention any past experiences where you’ve successfully collaborated with teams. We value teamwork, so let us know how you thrive in group settings!
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 out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Advanced Resource Managers Ltd
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with machine learning and optimisation models in detail. Be prepared to explain how you've developed and integrated these models into business processes, as this will show your practical knowledge and expertise.
✨Showcase Your Collaborative Spirit
Since the role involves working in a product squad, highlight your experience in agile environments. Share examples of how you've successfully collaborated with cross-functional teams, as this will demonstrate your ability to work well with others.
✨Prepare for Technical Questions
Brush up on key technical concepts related to data science and optimisation. Expect questions that test your problem-solving skills and your understanding of production ML. Practising coding challenges or case studies can help you feel more confident.
✨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 how they measure success in the optimisation space. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
