At a Glance
- Tasks: Develop and implement data-driven solutions to tackle complex business challenges.
- Company: Join Jacobs, a global leader in innovative problem-solving.
- Benefits: Flexible working arrangements, well-being benefits, and opportunities for personal growth.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Experience in data science, Python, SQL, and statistical modelling required.
- Other info: Inclusive culture that values diverse perspectives and fosters career development.
The predicted salary is between 50000 - 70000 £ 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. Utilizing 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 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.
Here’s what you’ll need
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.
Joining Jacobs not only connects you locally but globally. Our values stand on a foundation of safety, integrity, inclusion and belonging. We put people at the heart of our business, and we truly believe that by supporting one another through our culture of caring, we all succeed. We value positive mental health and a sense of belonging for all employees. With safety and flexibility always top of mind, we’ve gone beyond traditional ways of working so you have the support, means and space to maximise your potential. You’ll uncover flexible working arrangements, benefits and opportunities, from well‑being benefits to our global giving and volunteering programme, to exploring new and inventive ways to help our clients make the world a better place. No matter what drives you, you’ll discover how you can cultivate, nurture and achieve your goals – all at a single global company.
We aim to embed inclusion and belonging in everything we do. We know that if we are inclusive, we’re more connected and creative. We accept people for who they are, and we champion the richness of different perspectives, lived experiences and backgrounds in the workplace, as a source of learning and innovation. We are committed to building vibrant communities within Jacobs, including through our Jacobs Employee Networks, Communities of Practice and our Find Your Community initiatives, allowing every employee to find connection, purpose and belonging.
Jacobs partners with VERCIDA to help us attract and retain talent from a wide range of backgrounds. For greater online accessibility please visit VERCIDA to view and access our roles. As a disability confident employer, we will interview disabled candidates who best meet the criteria. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role. We value collaboration and believe that in‑person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.
Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.
Data Scientist in Glasgow employer: Jacobs Engineering Group Inc.
Contact Detail:
Jacobs Engineering Group Inc. 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 on LinkedIn or through mutual connections. 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 data science projects, especially those involving Palantir Foundry or Azure Data Explorer. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and SQL skills with real-world problems. The more confident you are, the better you'll perform in technical interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be part of a community that values inclusion and belonging.
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 at Jacobs. Highlight your experience with data analytics, machine learning, 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 you can contribute to Jacobs' mission. We love seeing candidates who can connect their personal goals with our values.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see how you've applied your skills in real-world scenarios.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you'll find all the info you need about the role and our company culture there.
How to prepare for a job interview at Jacobs Engineering Group Inc.
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Palantir Foundry and Azure Data Explorer. Brush up on your Python and SQL skills, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've developed data-driven solutions. Think about how you identified a problem, the approach you took, and the impact of your solution. This will demonstrate your analytical skills and ability to deliver results.
✨Understand the Company Culture
Familiarise yourself with Jacobs' values around safety, integrity, and inclusion. Be ready to discuss how you can contribute to a supportive culture and foster collaboration within cross-functional teams.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current data science projects or how they measure success in their analytics initiatives. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.