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- Tasks: Lead the development of innovative AI solutions for industrial intelligence.
- Company: Join AVEVA Denmark, a leader in industrial AI innovation.
- Benefits: Enjoy flexible hours, well-being support, and parental leave.
- Other info: Hybrid working model with a focus on work-life balance.
- Why this job: Make a significant impact in the AI field with cutting-edge technology.
- Qualifications: 8+ years in data science or machine learning, proficient in Python and SQL.
The predicted salary is between 70000 - 105000 £ per year.
AVEVA Denmark is looking for a Senior Data Scientist to join our AI Investigation and Incubation team. This role focuses on developing new AI solutions to enhance AVEVA’s industrial intelligence offerings.
The ideal candidate will have over 8 years of experience in data science or machine learning and proficiency in Python and SQL.
This position offers a hybrid working model with flexible hours and several benefits, including well-being support and parental leave.
Senior ML Data Scientist — Industrial AI Innovation Lead employer: AVEVA Denmark
Contact Detail:
AVEVA Denmark Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Data Scientist — Industrial AI Innovation Lead
✨Tip Number 1
Network like a pro! Reach out to current employees at AVEVA on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best projects in data science and machine learning. Make sure to highlight any AI solutions you've developed that align with AVEVA’s focus.
✨Tip Number 3
Ace the interview! Research common interview questions for data scientists and practice your answers. Be ready to discuss your experience with Python and SQL, and how you've applied them in real-world scenarios.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace Senior ML Data Scientist — Industrial AI Innovation Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning, especially with Python and SQL. 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 Senior ML Data Scientist position and how your background makes you a perfect fit for our AI Investigation and Incubation team.
Showcase Your Projects: If you've worked on any innovative AI solutions or data science projects, make sure to mention them in your application. We love seeing real-world applications of your skills, so share those success stories!
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 AVEVA Denmark
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss your past projects and how they relate to AVEVA’s focus on industrial intelligence. Show them you’re not just a data scientist, but a thought leader in the field.
✨Showcase Your Python and SQL Skills
Since proficiency in Python and SQL is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your approach to data manipulation. Practise common algorithms and data structures to impress them with your technical prowess.
✨Understand Their Business
Do your homework on AVEVA and their industrial intelligence offerings. Familiarise yourself with their products and how AI can enhance them. This will help you tailor your answers and show that you’re genuinely interested in contributing to their mission.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly and effectively.