Data Scientist in Edinburgh

Data Scientist in Edinburgh

Edinburgh Full-Time 30000 - 50000 £ / year (est.) No home office possible
Go Premium
J

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.
  • Other info: Collaborative culture with a focus on inclusion and belonging.

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

At Jacobs, we are 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.

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 supportive culture that facilitates both career and personal development.

Ideally with Utilities industry experience; applications are 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 maximize your potential. You’ll uncover flexible working arrangements, benefits, and opportunities, from well-being benefits to our global giving and volunteering program, 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 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. 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, please contact the team via Careers Support.

Data Scientist in Edinburgh employer: Jacobs

At Jacobs, we pride ourselves on being an exceptional employer, offering a dynamic work culture that prioritises safety, integrity, and inclusion. As a Data Scientist, you will have the opportunity to collaborate with diverse teams while leveraging advanced data analytics to tackle real-world challenges, all within a supportive environment that fosters personal and professional growth. With flexible working arrangements and a commitment to employee well-being, Jacobs empowers you to achieve your goals and make a meaningful impact in the world.
J

Contact Detail:

Jacobs Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist in Edinburgh

✨Tip Number 1

Network like a pro! Reach out to current employees at Jacobs or other data science professionals on LinkedIn. A friendly chat can give you insider info and might even lead to 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 the technical interview! Brush up on your statistical modelling and machine learning techniques. Practice explaining your thought process clearly, as collaboration is key at Jacobs.

✨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 Edinburgh

Data Analysis
Statistical Modelling
Machine Learning
Palantir Foundry
Azure Data Explorer (Kusto)
GIS Experience
Python
SQL
Agile Development
Source Control
CI/CD
Environment Segregation
Testing
Collaboration Skills
Problem-Solving Skills

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 you can contribute to our mission at Jacobs. Be sure to mention any specific projects or experiences that relate to the job description.

Showcase Your Projects: If you've worked on any data-driven projects, don't hold back! Include links or descriptions of your work in your application. We love seeing real examples of how you've applied your skills to solve complex problems.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it's super easy!

How to prepare for a job interview at Jacobs

✨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 Business Context

Familiarise yourself with the utilities industry and the types of challenges companies like Jacobs face. Being able to relate your technical skills to real-world business problems will show that you can think strategically and understand the bigger picture.

✨Emphasise Collaboration

Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with others. Highlight any projects where teamwork was key to success, and express your enthusiasm for fostering a supportive culture.

Data Scientist in Edinburgh
Jacobs
Location: Edinburgh
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

J
  • Data Scientist in Edinburgh

    Edinburgh
    Full-Time
    30000 - 50000 £ / year (est.)
  • J

    Jacobs

    10000+
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>