At a Glance
- Tasks: Own and manage data products across various teams, ensuring alignment with business goals.
- Company: Join a leading UK energy infra business committed to sustainability as a B Corp.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with a specialist data engineering team in a fast-paced setting.
- Why this job: Make a real impact by driving data standards and governance in a dynamic environment.
- Qualifications: Experience in data management and strong communication skills are essential.
The predicted salary is between 60000 - 80000 £ per year.
Mint Selection | B Corp is partnering with a market-leading UK energy infra business to recruit a Product Owner (Data). You will own data products across Analytics/Trading, Asset Management and Operations, aligning backlogs with business priorities and coordinating with a specialist data engineering team. You will drive data standards, governance, and quality while translating business needs for cross-divisional delivery and maintaining clear communication with both technical and non-technical stakeholders.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Owner: Cross‑Team Data Strategy in London
✨Get Involved in Data Science Meetups
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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 Data Product Owner: Cross‑Team Data Strategy at Mint Selection | B Corp.
✨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 Mint Selection | B Corp.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Owner: Cross‑Team Data Strategy at Mint Selection | B Corp, 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 Product Owner: Cross‑Team Data Strategy in London
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 Mint Selection | B Corp, 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 Mint Selection | B Corp. 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 Mint Selection | B Corp
✨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 Mint Selection | B Corp!
✨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.
