At a Glance
- Tasks: Shape real-time data capture and analytics for impactful business insights.
- Company: Join a leading company in data management based in Scotland.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on modern analytics and cross-team collaboration.
- Why this job: Make a difference by enhancing data reliability and accessibility in a collaborative environment.
- Qualifications: Experience with AVEVA PI, data platforms, and strong analytical skills.
The predicted salary is between 50000 - 65000 £ per year.
SSE is seeking a skilled professional to help shape real-time data capture, management and analytics.
You will work with AVEVA PI, PI AF and PI Vision, supporting data ingestion, historian services, asset modelling and timely insights.
The role spans data platforms, integrations and modern analytics with meaningful business impact.
Based in Scotland with flexible first options, you will contribute to reliability, scalability and user access to trusted data while collaborating across a
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Senior Real-Time Data Platform Specialist employer: SSE PLC
SSE plc is an exceptional employer that prioritises employee wellbeing and work-life balance, offering flexible working patterns in a dynamic hybrid environment. With a strong commitment to professional development, employees have access to generous benefits and opportunities for growth within the energy sector, making it a rewarding place to advance your career while contributing to impactful energy infrastructure projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Real-Time Data Platform Specialist
✨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 SSE PLC.
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We think you need these skills to ace Senior Real-Time Data Platform Specialist
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 SSE PLC, 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 SSE PLC. 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 SSE PLC
✨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 SSE PLC!
✨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.
