At a Glance
- Tasks: Lead data architecture initiatives and establish standards for effective data use.
- Company: Scottish Funding Council, committed to transforming education and innovation in Scotland.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Join a supportive team that values diversity and promotes career development.
- Why this job: Make a real impact on Scotland's education system through innovative data solutions.
- Qualifications: Expertise in data architecture and strong leadership skills required.
The predicted salary is between 66924 - 78930 £ per year.
Our ambition is for Scotland to be the best place in the world to learn, educate, research and innovate, so that all of our nation can flourish. Our purpose is to create and sustain a world-leading system of tertiary education, research and innovation that changes lives for the better, enriches society and supports sustainable and inclusive economic growth.
The role is to provide leadership for SFC's data architecture, establishing data models, standards and design principles that enable trusted, connected and effective use of data to support organisational priorities and informed decision making.
Key Responsibilities
- Act as SFC's authority for Data Architecture, providing specialist expertise, thought leadership, and guidance on data design, modelling, and data architecture standards.
- Define, maintain, and evolve SFC's data architecture, ensuring alignment with organisational priorities, data strategy and future business needs.
- Lead the development and maintenance of enterprise, domain, conceptual, logical and physical data models, creating a shared understanding of data across SFC.
- Establish and maintain data architecture principles, standards, reference architectures and design patterns that support trusted, scalable, and sustainable use of data.
- Lead data architecture governance and design assurance, providing challenge, recommendations and architectural oversight for significant data initiatives and programmes.
- Provide expert advice to senior stakeholders, influencing decisions through evidence-based recommendations and helping teams understand architectural options, risks and trade-offs.
- Build consensus across teams and programmes, ensuring data architecture standards and principles are consistently applied across platforms, solutions and services.
- Define architecture approaches that improve interoperability, integration, governance, and reuse of data, supporting more efficient and joined-up services across SFC.
- Identify and manage data architecture related risks, technical debt and opportunities, ensuring emerging issues are addressed and escalated appropriately.
- Promote data architecture capability and maturity across SFC by coaching, mentoring and supporting colleagues, fostering greater understanding and adoption of good architecture practices.
Read more employer: Scottish Funding Council
The Scottish Funding Council (SFC) is an exceptional employer, offering a supportive and flexible work environment in Edinburgh that prioritises employee well-being and professional growth. With a commitment to continuous learning, generous benefits including a Civil Service Pension, and a culture that values collaboration and innovation, SFC empowers its employees to make a meaningful impact on Scotland's education and research landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Read more
✨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 Scottish Funding Council!
✨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 Read more at Scottish Funding Council.
✨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 Scottish Funding Council.
✨Apply Directly through Our Website
When you find a suitable opening like Read more at Scottish Funding Council, 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 Read more
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 Scottish Funding Council, 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 Scottish Funding Council. 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 Scottish Funding Council
✨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 Scottish Funding Council!
✨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.
