At a Glance
- Tasks: Lead strategic data projects and manage risks, budgets, and governance.
- Company: Join SSE, a leader in the utilities sector with a focus on innovation.
- Benefits: Enjoy flexible hybrid working, competitive salary, and career development opportunities.
- Other info: Collaborate with diverse teams and stakeholders for successful project outcomes.
- Why this job: Make a real impact by delivering valuable data solutions in a dynamic environment.
- Qualifications: Experience in project delivery and strong coordination skills required.
The predicted salary is between 60000 - 80000 £ per year.
SSE is seeking a Senior Project Delivery Lead to steer the end-to-end delivery of multiple strategic data projects within the RIIO-T3 Data Driven Programme. You will manage risks, budgets and governance while coordinating with business and technical teams to realise measurable value.
Based in the UK with flexible/hybrid working options, you will liaise with suppliers and stakeholders to ensure on-time, on-budget delivery and strong customer outcomes.
#J-18808-LjbffrSenior Data Delivery Lead - Utilities (Hybrid) 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 Data Delivery Lead - Utilities (Hybrid)
✨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 Data Delivery Lead - Utilities (Hybrid)
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!
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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.
