At a Glance
- Tasks: Lead data governance and ensure accuracy for property management platforms.
- Company: Transport for London, a key player in urban transport solutions.
- Benefits: Competitive salary, flexible working options, and career development opportunities.
- Other info: Join a dynamic team dedicated to improving urban transport data.
- Why this job: Make a real difference in data quality for London's transport infrastructure.
- Qualifications: Experience in data management and strong leadership skills.
The predicted salary is between 60000 - 75000 £ per year.
Transport for London seeks a Data Quality & Technical Manager to help develop and governance data infrastructure for its property management platforms.
You will steward data accuracy, completeness and compliance with corporate standards, focusing on leases, rents, asset registers and maintenance records.
You will lead data governance across shared platforms and prioritise data-related tasks for a team of Data administrators.
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Data Quality & Platform Lead in City of Westminster employer: Future of London
Transport for London (TfL) is an exceptional employer, offering a dynamic work environment that fosters innovation and inclusivity. With a strong commitment to employee growth, TfL provides opportunities for professional development while ensuring a healthy work-life balance through hybrid working arrangements. Employees enjoy generous benefits, including free travel on the TfL network, a final salary pension scheme, and a focus on equality, diversity, and inclusion, making it a rewarding place to build a meaningful career in the heart of London.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality & Platform Lead in City of Westminster
✨Get Involved in Data Science Meetups
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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 Future of London.
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When you find a suitable opening like Data Quality & Platform Lead at Future of London, 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 Quality & Platform Lead in City of Westminster
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 Future of London, 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 Future of London. 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 Future of London
✨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 Future of London!
✨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.