At a Glance
- Tasks: Ensure data accuracy and validate local public transport information for the PACTO Transport Hub.
- Company: Join DragonTech Wales, a forward-thinking company focused on improving public transport.
- Benefits: Flexible working hours, supportive onboarding, and adjustments for disabilities or caring commitments.
- Other info: Great opportunity for personal growth in a supportive environment.
- Why this job: Make a difference in your community by enhancing local transport information.
- Qualifications: Experience in data entry and familiarity with Pembrokeshire's public transport system.
The predicted salary is between 25000 - 30000 £ per year.
DragonTech Wales is seeking a Data Entry & Validation Assistant to work on the PACTO Transport Hub, aimed at consolidating local public transport information. Ideal candidates will have experience in data entry and knowledge of Pembrokeshire's public transport system.
This role offers flexibility and support during onboarding, ensuring a smooth transition. If you have a disability or caring commitments, adjustments to the role can be made.
Send your CV and cover letter to richard@dragontechwales.com.
Data Integrity & Validation Specialist in Narberth employer: Career Choices Dewis Gyrfa Ltd
DragonTech Wales is an excellent employer, offering a supportive work culture that prioritises flexibility and inclusivity, particularly for those with disabilities or caring commitments. Employees benefit from comprehensive onboarding and opportunities for professional growth while contributing to the vital project of consolidating local public transport information in Pembrokeshire, making a meaningful impact in the community.
Contact Details:
Career Choices Dewis Gyrfa Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Integrity & Validation Specialist in Narberth
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Career Choices Dewis Gyrfa Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Integrity & Validation Specialist at Career Choices Dewis Gyrfa Ltd.
✨Leverage Professional Networks
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 Career Choices Dewis Gyrfa Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Integrity & Validation Specialist at Career Choices Dewis Gyrfa Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Integrity & Validation Specialist in Narberth
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 Career Choices Dewis Gyrfa Ltd, 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 Career Choices Dewis Gyrfa Ltd. 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 Career Choices Dewis Gyrfa Ltd
✨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 Career Choices Dewis Gyrfa Ltd!
✨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.