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- Tasks: Develop and deploy scalable AI solutions for real-world industrial challenges.
- Company: Leading industrial data company in Greater London with an inclusive culture.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Why this job: Make a significant impact in sectors like Oil and Gas using cutting-edge AI techniques.
- Qualifications: 2 years of experience, proficiency in Python and SQL, and teamwork skills.
- Other info: Collaborative environment with minimal bureaucracy and excellent career advancement potential.
The predicted salary is between 42000 - 84000 £ per year.
A leading industrial data company in Greater London seeks a Data Scientist to develop and deploy scalable solutions for customer use cases in sectors such as Oil and Gas. The role requires 2 years of experience, proficiency in Python and SQL, and participation in workshops with subject matter experts. You will collaborate with cross-functional teams and contribute to enhancing decision-making through AI techniques. The company fosters an inclusive workplace and offers a diverse culture with minimal bureaucracy.
Senior Data Scientist: Industrial AI & GenAI Solutions employer: Cognite
Contact Detail:
Cognite Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist: Industrial AI & GenAI Solutions
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry on LinkedIn or attend local meetups. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to boost your confidence.
✨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 are proactive about their job search.
We think you need these skills to ace Senior Data Scientist: Industrial AI & GenAI Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python and SQL, as well as any relevant projects in the Oil and Gas sector. We want to see how your skills align with our needs!
Showcase Your Experience: Don’t just list your past roles; explain how your 2 years of experience have prepared you for this position. We love seeing specific examples of how you've used AI techniques to enhance decision-making.
Engage with Our Culture: In your cover letter, mention why you’re excited about joining an inclusive workplace like ours. We value diversity and want to know how you can contribute to our vibrant culture!
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 us!
How to prepare for a job interview at Cognite
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in developing scalable solutions. This will show that you can hit the ground running.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Highlight any workshops or team projects where you contributed to decision-making through AI techniques.
✨Understand the Industry
Familiarise yourself with the Oil and Gas sector and any relevant use cases for AI. Being able to discuss industry-specific challenges and how your skills can address them will impress the interviewers and demonstrate your genuine interest in the role.
✨Embrace Inclusivity
The company values an inclusive workplace, so be prepared to discuss how you contribute to a diverse culture. Share experiences where you've worked with diverse teams or promoted inclusivity in your previous roles.
