At a Glance
- Tasks: Define the machine learning roadmap and develop innovative ML platforms.
- Company: Engaging Networks, a forward-thinking tech company in the UK.
- Benefits: Competitive salary, flexible working hours, and a charitable gift programme.
- Other info: Join a dynamic team with opportunities for growth and collaboration.
- Why this job: Make a real impact by harnessing data to drive strategic outcomes.
- Qualifications: 2+ years in data science, strong Python skills, and AWS experience.
The predicted salary is between 50000 - 55000 € per year.
Engaging Networks in the UK seeks a Data Scientist responsible for defining the machine learning roadmap and developing ML platforms. You'll harness historical data to generate strategic outcomes, collaborating closely with product and engineering teams.
The ideal candidate has 2+ years in data science, excels in Python, and has experience with AWS. A strong educational background in Statistics or Mathematics is required.
The position offers a competitive salary between £50,000 and £55,000 GBP, alongside benefits including flexible working hours and a charitable gift program.
ML Platform Engineer & Data Scientist (Remote/UK) employer: Engaging Networks
Engaging Networks is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about data science and machine learning. With flexible working hours and a commitment to employee growth through continuous learning opportunities, we empower our team to make meaningful contributions while supporting charitable initiatives. Join us in the UK and be part of a forward-thinking organisation that values your expertise and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land ML Platform Engineer & Data Scientist (Remote/UK)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and Python. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in ML and data science. Practice common interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace ML Platform Engineer & Data Scientist (Remote/UK)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science and machine learning. We want to see how your skills in Python and AWS align with the role, so don’t hold back on showcasing relevant projects!
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 ML platform. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any interesting data science projects, make sure to mention them! We’re keen to see how you’ve applied your skills in real-world scenarios, especially if they involve collaboration with product or engineering teams.
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 from our team!
How to prepare for a job interview at Engaging Networks
✨Know Your ML Roadmap
Before the interview, make sure you understand the machine learning roadmap and how it aligns with the company's goals. Be ready to discuss your vision for developing ML platforms and how your past experiences can contribute to their objectives.
✨Showcase Your Python Skills
Since Python is a key requirement, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so brush up on your Python knowledge and be ready to explain your thought process as you work through it.
✨Familiarise Yourself with AWS
As experience with AWS is essential, take some time to review the services relevant to data science and machine learning. Be prepared to discuss how you've used AWS in previous projects and how it can enhance the ML platforms you’ll be working on.
✨Highlight Your Statistical Background
With a strong educational background in Statistics or Mathematics being crucial, be ready to talk about specific projects where you've applied these skills. Use examples that showcase your analytical thinking and how it has led to strategic outcomes in your work.
