Apprize Technology Solutions
Network Design Data Product Owner

How your CV stacks up
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Required Qualifications and Experience
- Degree or equivalent experience in a relevant field (e.g., Business, Engineering, Data Science, Computer Science, Junior Data Product Manager, or related discipline).
- Demonstrable experience (e.g., early career role, internship, or placement) in a data, product, or business analysis environment.
- Familiarity with Agile methodologies and tools such as Jira, Confluence.
- Strong communication and interpersonal skills, with the ability to work effectively across multidisciplinary teams.
- Analytical mindset with a strong interest in data, systems, and user-centric design.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Desired Skills and Attributes


Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Understanding of data governance, data lineage, master data, integration, and API-based products.
- Strong understanding of Product ownership and Business Analysis.
- Passion for data and its role in driving transformational value.
- Curiosity and a proactive approach to problem-solving.
- A good understanding of product management principles and data lifecycle concepts.
- Analytical mindset with attention to detail and logical thinking.
- Self-motivated, willing to learn and adapt in a fast-paced, agile environment.
- Strong stakeholder management and communication skills.
- Experience working with cross-functional teams including customers, architects, engineers, developers, and testers.
- Experience with data visualization tools (e.g., Power BI) or data analysis techniques is a plus.
- Experience working on data-heavy products, engineering platforms, digital twins, analytics products, or operational decision-support tools is highly beneficial.
- Understanding of data governance, data quality, or metadata management is advantageous.
- Experience in Energy, Electricity Transmission, Asset & Operational Data industries is advantageous.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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