At a Glance
- Tasks: Lead Data, AI, and Automation initiatives to drive business innovation.
- Company: Join SSE PLC, a leader in energy solutions with a focus on technology.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Shape the future of AI and data strategy while making a real impact.
- Qualifications: Experience in product ownership and a strong understanding of data and AI.
The predicted salary is between 63000 - 77000 £ per year.
SSE PLC is seeking a Senior Technical Product Owner to lead Data, AI and Automation across ECS.
The role combines strategic vision with hands-on technical leadership to turn innovation into measurable business outcomes.
You will guide Data & AI strategy, partner with platform owners, develop in-house capability and coach a team of Lead Developers while engaging senior stakeholders across the business.
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Senior Data & AI Product Owner — Enterprise AI Strategy 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 & AI Product Owner — Enterprise AI Strategy
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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 & AI Product Owner — Enterprise AI Strategy
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.
