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- Tasks: Build and deliver advanced data analytics products to solve real-world problems.
- Company: Jacobs, a leader in innovative solutions for thriving cities and resilient environments.
- Benefits: Competitive salary, career development opportunities, and a supportive work culture.
- Why this job: Make a meaningful impact by transforming data into actionable insights.
- Qualifications: Experience in data science and collaboration with cross-functional teams.
- Other info: Join a dynamic team focused on solving critical global challenges.
The predicted salary is between 28800 - 48000 £ per year.
At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission‑critical outcomes, operational advancement, scientific discovery and cutting‑edge manufacturing, turning abstract ideas into realities that transform the world for good.
Your impact:
- As an experienced Data Scientist you will be an integral part of our team responsible for building, delivering and developing advanced data analytics products.
- 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 scope of requirements and formulate data science projects.
- Analyse large datasets to extract actionable insights and inform business decisions.
- Translate findings and recommendations into actionable outputs.
- Collaborate with colleagues and peers fostering a support culture that facilitates both career and personal development.
Qualifications: Civil Engineering, Design Services, IT Services and IT Consulting.
Benefits
Data Scientist employer: Jacobs
Contact Detail:
Jacobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Jacobs on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those interviews! Brush up on your data analytics skills and be ready to discuss how you've tackled real-world problems with data. We want to see your thought process in action!
✨Tip Number 3
Show off your projects! If you’ve built any cool data models or analytics tools, make sure to have them ready to share. We love seeing practical applications of your skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight relevant experience and skills that align with the job description. We want to see how your background fits into our mission of solving critical problems!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the role.
Showcase Your Projects: If you've worked on any data analytics projects, make sure to include them in your application. We love seeing real-world examples of your work and how you've used data to drive decisions and outcomes.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Jacobs
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, algorithms, and tools. Be ready to discuss how you've applied these in past projects, especially in relation to building and deploying models. This will show that you not only understand the theory but can also put it into practice.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using data analytics. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your solutions supported business objectives and led to actionable insights.
✨Collaborate and Communicate
Since collaboration is key in this role, think of instances where you've worked with cross-functional teams. Be ready to explain how you gathered requirements and translated technical findings into understandable outputs for non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data initiatives and how they align with their mission. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your career goals, especially in fostering personal development.
