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- Tasks: Build and deliver advanced data analytics products to solve complex business problems.
- Company: Join Jacobs, a global leader in innovative solutions and a supportive culture.
- Benefits: Flexible working arrangements, well-being benefits, and opportunities for personal growth.
- Why this job: Make a real impact with data science while collaborating with diverse teams.
- Qualifications: Experience in data science, Python, SQL, and familiarity with Palantir Foundry and Azure.
- Other info: Inclusive environment with strong focus on mental health and community connection.
The predicted salary is between 28800 - 48000 £ per year.
As an experienced Data Scientist you will be an integral part of our team responsible for building, delivering and developing advanced data analytics products. Utilising your data analysis, statistical modelling, and machine learning techniques to apply, deploy and visualise solutions to complex business problems. Collaborating with key stakeholders you will leverage your analytical skills to identify, build and understand the scope and impact of requirements and challenges, to develop a foundation for implementing technical solutions.
Your remit and responsibilities will include:
- Develop and implement data-driven solutions to support business objectives.
- Design, build, and deploy advanced data analytics models and algorithms.
- Collaborate with cross-functional teams to understand the scope of requirements to formulate data science projects.
- Analyse large datasets to extract actionable insights and inform business decisions.
- Develop and implement findings and recommendations.
- Collaborate with colleagues and peers fostering a support culture that facilitates both career and personal development.
Ideally with Utilities industry experience, applications are eagerly sought from candidates with the following skills, experience and attributes:
- Demonstrable experience of Palantir Foundry, Azure Data Explorer (Kusto).
- GIS Experience (Open Layers, QGIS, GeoPandas, Geoserver).
- Bachelor's degree or equivalent work experience related to Data Science, Computer Science, Statistics etc.
- Extensive track record in applied data science.
- Demonstrable experience in building and delivering data-driven solutions to clients and users.
- Proficient in Python, SQL.
- Ability to ideate, build and deploy scalable solutions.
- Understanding of key development principles like Agile, Source Control, CI/CD, Environment Segregation, Testing etc.
Data Scientist in Glasgow employer: Jacobs
Contact Detail:
Jacobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current employees at Jacobs or in the data science field on LinkedIn. A friendly chat can give you insider info and might just land you a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data-driven projects, especially those using Python and SQL. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your statistical modelling and machine learning techniques. Practice coding challenges and be ready to discuss your thought process while solving problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Jacobs team.
We think you need these skills to ace Data Scientist in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data analysis, statistical modelling, and any relevant tools like Python and SQL. We want to see how your skills align with what we’re looking for!
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 makes you a great fit for our team. Don’t forget to mention any experience in the utilities industry if you have it!
Showcase Your Projects: If you’ve worked on any cool data projects, make sure to include them! Whether it’s a personal project or something from your previous job, we love seeing real-world applications of your skills. It helps us understand your approach to problem-solving.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Jacobs
✨Know Your Data Tools
Make sure you brush up on your experience with Palantir Foundry and Azure Data Explorer. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Skills
Prepare to talk about how you've analysed large datasets in the past. Bring examples of actionable insights you've extracted and how they informed business decisions. This will demonstrate your ability to apply data science to real-world problems.
✨Collaborate Like a Pro
Since collaboration is key in this role, think of examples where you've worked with cross-functional teams. Highlight how you understood their requirements and how you formulated data science projects that met their needs.
✨Understand Agile Principles
Familiarise yourself with Agile methodologies and development principles like CI/CD and testing. Be prepared to discuss how you've applied these principles in your previous work, as this will show you're aligned with the company's approach to project management.
