
Likely
Sponsorship likelihood
This employer has issued visas recently. Possible if it's SOC 3544
Not disclosed
Salary
Not disclosed by employer
£54,900
Going rate
Skilled Worker going rate
This role may qualify for a Skilled Worker visa
SOC 2133 is an eligible occupation, but we are only 35% sure that is the right code. Incard ltd is a licensed sponsor, so if the code fits, the role should qualify. Check the occupation eligibility rules against what the job actually involves.
We pick the code from the advert's text, so it is our best guess, not the employer's. Each code it could be has its own likelihood:
Ask Incard ltd what the duties are.
New graduate or PhD holder? Pick one of the lower rates.
| Occupation code | New entrant 70% of going rate | STEM PhD 80% of going rate | Relevant PhD 90% of going rate | Standard rate 100% of going rate |
|---|---|---|---|---|
2133 IT business analysts, architects and systems designers Most likely code | £38,400 | £43,900 | £49,400 | £54,900 |
3544 Data analysts Also possible | £33,400 | £41,700 | £41,700 | £41,700 |
2431 Management consultants and business analysts Also possible | £35,100 | £40,200 | £45,200 | £50,200 |
We use the lowest threshold across the plausible codes. Likelihood is Possible at most when the pay clears only a lower rate, or only under a less likely code. How the Home Office picks the code
Incard’s mission is to build the financial operating system for entrepreneurs.
We are focused on creating a system where business banking, financial tools, and application logic are coordinated into a single control layer.
Through the app store, entrepreneurs and developers can build industry-specific functionality as their business evolves.
We’re looking for a Senior Product Owner (Data / AI) who operates like a mini-CEO for our intelligence layer.
You’ll own data-driven product domains such as analytics, forecasting, benchmarking, anomaly detection, recommendations, and AI-powered financial insights. You’ll work at the intersection of data science, analytics, AI, and product, partnering closely with Analytics, AI, Backend, and Product teams.
This role is ideal for someone with a data science or analytics background who wants to turn models, metrics, and signals into clear, actionable product experiences for business users.
Act as the founder of your data/AI domain
Own vision, scope, quality, and outcomes with minimal supervision
Translate complex data capabilities into real product value
Define product use cases for analytics, forecasting, and AI-driven insights
Partner with data scientists to shape models, assumptions, and outputs
Decide what to build vs what to infer, predict, or automate
Define success metrics focused on accuracy, usefulness, and adoption
Collaborate closely with Analytics and AI teams on data pipelines, models, and features
Turn raw data, signals, and predictions into user-facing insights and workflows
Ensure explainability, trust, and clarity in AI-powered outputs
Balance precision with usability — perfect models that users don’t understand are not success
Write clear product requirements, specs, and acceptance criteria for data & AI features
Break down complex initiatives into deliverable milestones
Support engineers and data scientists with fast decisions and prioritisation
Manage iterations after launch based on usage, feedback, and performance
Own validation of data quality, assumptions, and edge cases
Ensure robustness around missing data, anomalies, and model failure modes
Work closely with compliance and risk teams on AI governance and explainability
Ensure responsible use of AI in regulated financial contexts
Collaborate with frontend, mobile, backend, and customer-facing teams
Align data products with business, regulatory, and operational needs
Create clear internal documentation for models, metrics, and decision logic
Support hiring and help shape your future data/AI squad
4–7+ years of experience in Data Product, Analytics Product, or Data Science–led product roles
Strong background in data science, analytics, or applied machine learning
Experience turning data and models into real product features
Strong understanding of metrics, experimentation, forecasting, and data pipelines
Ability to write clear, structured specs for data and AI-driven systems
Comfortable working with ambiguity, probabilistic outcomes, and imperfect data
Highly organised, analytical, and outcome-focused
Strong communication skills — able to explain complex concepts simply
Experience in fintech, payments, or financial analytics
Experience with forecasting, anomaly detection, or recommendation systems
Familiarity with BI tools, experimentation frameworks, or ML platforms
Experience working on AI assistants, copilots, or decision-support tools
Mini-CEO mentality — you own intelligence outcomes, not just models
Data-first thinking with strong product judgement
Obsession with clarity, trust, and real-world usefulness
Comfortable making decisions with incomplete or noisy data
Low-ego, highly collaborative partner to engineers and data scientists
Startup DNA — fast iteration, ownership, no bureaucracy
Competitive cash-based compensation
Incard stock options
25 days of paid time off per year, plus bank holidays and your birthday off
Global health insurance and unlimited paid sick leave
This description is the source posting as it read when we added it. We are not affiliated with Incard ltd, so check their own site for the current details.
No close matches live right now.
Browse more sponsored jobs at Incard ltdNot necessarily. Incard ltd holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
The offer must clear both the general threshold and the SOC 2133 going rate of £54,900. New-entrant and shortage discounts can lower it.