Data Scientist: AI Analytics & Impact, Flexible Work in Glasgow
Data Scientist: AI Analytics & Impact, Flexible Work

Data Scientist: AI Analytics & Impact, Flexible Work in Glasgow

Glasgow Full-Time 30000 - 50000 £ / year (est.) No home office possible
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Jacobs

At a Glance

  • Tasks: Develop and deliver advanced data analytics products using innovative tools.
  • Company: Leading engineering consulting firm in Glasgow with a focus on innovation.
  • Benefits: Flexible working options, competitive salary, and a dynamic work environment.
  • Why this job: Join a collaborative team and make an impact with cutting-edge data analytics.
  • Qualifications: Experience with Palantir Foundry, Azure Data Explorer, Python, and SQL.

The predicted salary is between 30000 - 50000 £ per year.

A leading engineering consulting firm in Glasgow is seeking an experienced Data Scientist to develop and deliver advanced data analytics products. The ideal candidate will have experience with Palantir Foundry, Azure Data Explorer, and strong programming skills in Python and SQL. This role offers a dynamic work environment focused on innovation and collaboration, with flexible working options available.

Data Scientist: AI Analytics & Impact, Flexible Work in Glasgow employer: Jacobs

Join a leading engineering consulting firm in Glasgow, where innovation meets collaboration in a dynamic work environment. As a Data Scientist, you'll benefit from flexible working options, a strong focus on employee growth, and the opportunity to work with cutting-edge technologies like Palantir Foundry and Azure Data Explorer. This company values its employees, offering a supportive culture that fosters professional development and meaningful contributions to impactful projects.
Jacobs

Contact Detail:

Jacobs Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist: AI Analytics & Impact, Flexible Work in Glasgow

✨Tip Number 1

Network like a pro! Reach out to current employees at the firm on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Show off your skills! Prepare a portfolio showcasing your projects with Palantir Foundry, Azure Data Explorer, Python, and SQL. This will help you stand out during interviews.

✨Tip Number 3

Practice makes perfect! Get comfortable with common data science interview questions and coding challenges. We recommend doing mock interviews with friends or using online platforms.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace Data Scientist: AI Analytics & Impact, Flexible Work in Glasgow

Data Analytics
Palantir Foundry
Azure Data Explorer
Python
SQL
Programming Skills
Innovation
Collaboration

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with Palantir Foundry, Azure Data Explorer, and your programming prowess in Python and SQL. We want to see how your skills align with what we're looking for!

Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Scientist role. We love seeing candidates who put in that extra effort.

Be Yourself: Let your personality shine through in your application. We’re all about innovation and collaboration, so showing us who you are can really make you stand out from the crowd!

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 any important updates from us!

How to prepare for a job interview at Jacobs

✨Know Your Tools

Make sure you’re well-versed in Palantir Foundry and Azure Data Explorer. Brush up on your Python and SQL skills, as you might be asked to solve problems or discuss your previous projects using these tools during the interview.

✨Showcase Your Projects

Prepare to discuss specific data analytics products you've developed. Highlight your role in these projects, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.

✨Emphasise Collaboration

Since the role focuses on innovation and collaboration, be ready to talk about how you’ve worked in teams. Share examples of how you’ve contributed to group projects and how you handle feedback and differing opinions.

✨Ask Insightful Questions

Prepare thoughtful questions about the company’s approach to data analytics and their future projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.

Data Scientist: AI Analytics & Impact, Flexible Work in Glasgow
Jacobs
Location: Glasgow
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