At a Glance
- Tasks: Analyse data and model solutions to innovate UK transport and built environments.
- Company: Join Connected Places Catapult, a leader in digital and data solutions.
- Benefits: Hands-on experience with AI/ML, competitive salary, and collaborative culture.
- Other info: Work in a dynamic team with opportunities for professional growth.
- Why this job: Make a real impact on transport innovation using cutting-edge technology.
- Qualifications: Experience in data science and a passion for technology and collaboration.
The predicted salary is between 55000 - 70000 £ per year.
Connected Places Catapult is seeking a Consultant Data Scientist to join the team and deliver digital and data solutions accelerating UK transport and built environment innovation. You will work with technologists, researchers, designers and project managers on data analysis, modelling, and communicating findings.
The role offers a hands-on environment with opportunities to use digital twins, geospatial analytics, and AI/ML; you will collaborate in multidisciplinary teams and develop your domain.
Hybrid Data Scientist — AI & Digital Twins for Transport in London employer: cpcatapult
At cpcatapult, we pride ourselves on being an excellent employer that champions innovation and collaboration in the digital construction sector. Our vibrant work culture fosters professional growth through continuous learning opportunities and meaningful engagement with industry stakeholders. Located in key cities like London, Milton Keynes, and Birmingham, we offer a dynamic environment where employees can thrive while contributing to the UK's global leadership in digital construction.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Scientist — AI & Digital Twins for Transport in London
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like cpcatapult.
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We think you need these skills to ace Hybrid Data Scientist — AI & Digital Twins for Transport in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at cpcatapult, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at cpcatapult. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at cpcatapult
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at cpcatapult!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
