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- Tasks: Build and deliver advanced data analytics products using statistical modelling and machine learning.
- Company: Leading engineering and consulting firm with a focus on innovation.
- Benefits: Flexible working arrangements, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by analysing large datasets and implementing data-driven solutions.
- Qualifications: Proficiency in Python, SQL, and experience in the Utilities industry.
- Other info: Join a dynamic team in Edinburgh with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A leading engineering and consulting firm is seeking an experienced Data Scientist to join their Edinburgh team. You will build and deliver advanced data analytics products using your expertise in statistical modelling and machine learning. Collaborating with key stakeholders, you'll analyze large datasets and implement data-driven solutions to support business objectives.
Seeking candidates with proficiency in Python, SQL, and a background in data science, particularly in the Utilities industry. Flexible working arrangements available.
Senior Data Scientist - Hybrid Analytics Leader employer: Jacobs
Contact Detail:
Jacobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Hybrid Analytics Leader
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. We should be ready to showcase our technical prowess with real-world examples from our past projects.
✨Tip Number 3
Don’t forget to research the Utilities industry! Understanding the specific challenges and trends will help us tailor our answers and show that we’re genuinely interested in the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our applications easily and stay updated on any new opportunities.
We think you need these skills to ace Senior Data Scientist - Hybrid Analytics Leader
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python, SQL, and any relevant experience in data science. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience in the Utilities industry and how it relates to the job description. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s necessary. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details 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 Science Stuff
Make sure you brush up on your statistical modelling and machine learning techniques. Be ready to discuss specific projects where you've applied these skills, especially in the Utilities industry. This will show that you not only know your stuff but can also apply it in real-world scenarios.
✨Showcase Your Technical Skills
Since proficiency in Python and SQL is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your approach to data analysis. Practising common data manipulation tasks in both languages can give you a solid edge.
✨Understand the Business Context
Familiarise yourself with the company’s objectives and how data analytics can drive their success. Think about how your previous work has supported business goals and be ready to share those insights. This shows that you’re not just a techie but also understand the bigger picture.
✨Prepare for Collaboration Questions
As you'll be collaborating with key stakeholders, expect questions about teamwork and communication. Have examples ready that highlight your ability to work cross-functionally and how you’ve effectively communicated complex data findings to non-technical audiences.
