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- Tasks: Lead the development of advanced data analytics solutions and collaborate on impactful projects.
- Company: Global engineering firm in Glasgow with a focus on innovation and diversity.
- Benefits: Flexible working arrangements, competitive salary, and a commitment to inclusion.
- Why this job: Join a dynamic team and make a difference in the utilities industry with your data expertise.
- Qualifications: Strong skills in data analysis, statistical modelling, and machine learning required.
- Other info: Exciting opportunities for career growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A global engineering firm in Glasgow is seeking an experienced Data Scientist to develop and implement advanced data analytics solutions. The role requires strong skills in data analysis, statistical modeling, and machine learning, along with experience in the utilities industry. The successful candidate will collaborate with stakeholders and work on formulating data-driven projects. The company offers flexible working arrangements and values diversity and inclusion.
Senior Data Scientist - Hybrid Analytics Leader in Glasgow employer: Jacobs
Contact Detail:
Jacobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Hybrid Analytics Leader in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field, especially those in the utilities industry. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your data analytics projects, highlighting your experience with statistical modelling and machine learning. This will give you an edge when discussing your capabilities during interviews.
✨Tip Number 3
Prepare for the interview! Research the company and its projects, and think about how your skills can contribute to their goals. Be ready to discuss specific examples of how you've tackled data-driven challenges in the past.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team and helps us keep track of your application.
We think you need these skills to ace Senior Data Scientist - Hybrid Analytics Leader in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, statistical modelling, and machine learning. 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 your background in the utilities industry makes you a perfect fit for us. Keep it engaging and personal!
Showcase Collaboration Skills: Since this role involves working closely with stakeholders, make sure to mention any past experiences where you’ve successfully collaborated on data-driven projects. We love seeing teamwork in action!
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!
How to prepare for a job interview at Jacobs
✨Know Your Data Inside Out
Make sure you brush up on your data analysis and statistical modelling skills. Be prepared to discuss specific projects where you've implemented advanced analytics solutions, especially in the utilities sector. This will show that you not only understand the theory but can apply it practically.
✨Showcase Your Machine Learning Expertise
Be ready to dive deep into your experience with machine learning techniques. Prepare examples of how you've used these methods to solve real-world problems. The more specific you can be about the algorithms and tools you've used, the better!
✨Collaboration is Key
Since this role involves working closely with stakeholders, think of examples where you've successfully collaborated on data-driven projects. Highlight your communication skills and how you’ve translated complex data insights into actionable strategies for non-technical audiences.
✨Embrace Diversity and Inclusion
Familiarise yourself with the company's values around diversity and inclusion. Be prepared to discuss how you can contribute to a diverse team and create an inclusive environment. This shows that you align with their culture and are ready to be a part of their community.
