UK

United Kingdom · Compliance Quality Health Safety · Mid-Level (2-5 years)

Privacy by Design Specialist

Here is the whole job, in plain words. What it is, a real day, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

  • Experience bandMid-Level (2-5 years)
  • Direct reportsNo direct reports
  • Reports toSenior Privacy by Design Specialist
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Data Privacy Analyst · Privacy Compliance Specialist · Information Governance Specialist

Built on an analysis of 43,079 real UK job descriptions · grounded in qualifications employers recognise

Start with a free Future Fluency check, tuned to Privacy by Design Specialist

Ten quick questions, one per Future Fluency, asked against this role rather than a generic one. About five minutes, and no card.

Start the check, free

1What this role really is

You'll be the person helping our product and engineering teams build privacy into new features and systems right from the start. Think of it as being a privacy architect, making sure we're not just compliant, but genuinely trustworthy with our customers' data. It's about spotting potential privacy issues before they become real problems, especially with sensitive health data.

2What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

OneTrust / TrustArcIntermediate

Populating DPIAs, managing cookie consent records, and fulfilling Data Subject Access Requests (DSARs) using established templates and workflows.

BigID / Securiti.aiBasic

Running pre-configured data discovery scans and interpreting basic data classification reports to update RoPA entries or identify sensitive data locations.

Confluence / JiraIntermediate

Documenting assessment outcomes, tracking remediation tasks, and following established privacy review workflows. You'll be creating and updating pages regularly.

Lucidchart / MiroIntermediate

Creating basic to medium-complexity data flow diagrams (DFDs) based on information provided by engineering teams, visualising where data moves.

Enterprise Systems (e.g., SAP S/4HANA / Workday HCM / Veeva Vault)Basic

Understanding data schemas at a user level to identify PII/PHI fields during assessments and understand how data is used within these core business systems.

3What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing inWhere you are nowThe step above
Approval of Low-Risk Data Processing ActivitiesRequires supervisor approval for all decisions.Independent approval if within established guidelines and templates; escalate exceptions.Independent approval for most activities; consult Director on strategic implications.
Selection of Privacy-Enhancing Technologies (PETs)Suggest options, but selection requires supervisor approval.Propose and evaluate specific PETs; selection requires Senior Specialist consultation.Lead selection and implementation of PETs; consult Director on significant investments.
Changes to RoPA/DPIA EntriesUpdate entries based on specific instructions; all changes reviewed.Independently update and maintain RoPA/DPIA entries, seeking Senior Specialist review for complex changes.Own the integrity of RoPA/DPIA framework; review and approve changes from junior staff.

4How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

Average Time to Close Low-Risk Privacy Reviews
The typical time it takes from receiving a low-risk project for review to providing final privacy sign-off.
Target · < 3 business days

If you review 10 low-risk projects in a month, and the average time from intake to sign-off is 2.5 days, you're hitting the target.

Accuracy of RoPA/DPIA Documentation
The percentage of Records of Processing Activities (RoPA) and Data Protection Impact Assessments (DPIA) you complete or update that pass internal quality checks without significant errors.
Target · > 98%

Out of 50 RoPA entries you've reviewed or created this quarter, only one had a minor error in the lawful basis description, leading to a 98% accuracy rate.

Number of Proactive Privacy Recommendations Adopted
The count of specific privacy-enhancing design suggestions you make to product or engineering teams that are actually implemented before launch.
Target · 3-5 per quarter

You suggested using a specific pseudonymisation technique for a new analytics dashboard, and the engineering team built it in, counting as one adoption.

Completion Rate of Assigned Privacy Assessments
The percentage of privacy assessments (DPIAs, PIAs) assigned to you that are completed within their agreed-upon timelines.
Target · > 90%

If you were assigned 8 assessments this month and completed 7 on time, that's an 87.5% completion rate, meaning you'd need to improve slightly.

Stakeholder Engagement & Collaboration
How effectively you build relationships and work with product, engineering, and legal teams to embed privacy, rather than being seen as a blocker.
  • Product managers proactively involve you early in design discussions. Engineers seek your input on data flows. Legal counsel values your practical interpretations of regulations. You're seen as a helpful partner, not just a compliance gatekeeper.
Quality of Privacy Advice
The clarity, accuracy, and practicality of the privacy guidance you provide to technical and non-technical teams.
  • Teams understand your advice and can act on it without needing multiple follow-up questions. Your recommendations are technically feasible and align with business goals. Feedback from stakeholders consistently highlights the usefulness of your input.
Proactive Risk Identification
Your ability to spot potential privacy risks in designs, data flows, or vendor selections before they become significant issues.
  • You regularly flag potential issues in early design reviews that others missed. You suggest mitigations that prevent future privacy incidents. Your insights lead to changes that strengthen our overall privacy posture.
Contribution to Knowledge Sharing
How you help build our collective privacy knowledge, for example, by improving documentation or sharing best practices.
  • You update our Confluence privacy guides with clear examples. You contribute to internal training materials. You share insights from your assessments that benefit other team members or departments.

5Would you like it

The honest version. What people enjoy, and what grinds them down.

What people enjoy
Making a Real Impact on Product Trust

You'll get a buzz from seeing your privacy recommendations built into a new feature, knowing that it makes the product safer and more trustworthy for users. It's about tangible improvements, not just theoretical compliance.

You helped refine the consent flow for a new app, making it clearer and more robust, which directly led to higher user adoption because people felt more secure.

Solving Complex Puzzles

You enjoy dissecting a new system or data flow, identifying the hidden privacy risks, and figuring out how to mitigate them. It's like being a detective, but for data.

A new data analytics platform is being introduced, and you're tasked with mapping all the data inputs and outputs to ensure no sensitive data is inadvertently exposed or misused.

Continuous Learning in a Evolving Field

The privacy landscape changes constantly. You'll be reading up on new regulations, emerging technologies, and best practices, and you genuinely enjoy staying ahead of the curve.

You spent your lunch break reading the ICO's latest guidance on AI and data protection, and you're already thinking about how it applies to our internal projects.

What frustrates people
  • The 'Privacy Bolt-On': Being brought in right before launch, when it's too late to easily fix design flaws, forcing you to either approve something risky or be the one who delays a release.
  • Getting vague legal guidance that's impossible to translate into concrete technical requirements for engineers.
  • Discovering 'Shadow IT'—a department using a new cloud service with sensitive data for months without any privacy review.
  • Constantly re-educating smart colleagues about the difference between truly anonymous data and pseudonymised data, and why the latter is still personal data.
  • Being labelled the 'Department of No' or a 'blocker' when your actual job is to enable responsible innovation.
What this role does not give you
  • A quiet, predictable routine. Priorities can shift quickly, especially when new projects or urgent issues arise.
  • Direct authority over product roadmaps or engineering teams. You'll influence, not command.
  • Instant gratification. Privacy work is often about long-term risk reduction and building trust, not quick wins.
  • A role where you only deal with technical challenges. You'll need strong people skills to succeed.

6Who you work with

This role directly impacts our ability to innovate responsibly, manage regulatory risk, and maintain customer trust. By embedding privacy early, you'll help reduce the likelihood of privacy breaches, accelerate time-to-market for new features, and ensure we meet our legal and ethical obligations, particularly around health data.

Inside the business
  • Product Managers
  • Software Engineers
  • Legal Counsel
  • Information Security Team
  • Data Governance Team
Outside the business
  • External auditors (occasionally)
  • Compliance software vendors

7What you need before you start

Not a wish list. The things you would be expected to already have.

  • At least 2 years of experience in a dedicated privacy, compliance, or information security role, ideally with some exposure to product development.
  • A solid understanding of core data protection principles and at least one major privacy regulation (e.g., GDPR, HIPAA).
  • Experience with conducting privacy assessments (PIAs/DPIAs) or managing records of processing activities (RoPA).
  • Ability to communicate complex technical or legal concepts clearly to non-experts.
  • A genuine interest in how technology and data interact with individual privacy rights.

8What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Data Discovery & Classification

Organisations are drowning in data, and knowing exactly where sensitive data lives is crucial. You'll need to move beyond basic scans to design and tune sophisticated discovery processes, especially with unstructured data.

Custom Data Classifiers · Data Lineage Mapping · Unstructured Data Analysis · Integration with CI/CD

  • This month: Get more hands-on with BigID or Securiti.ai, exploring advanced scanning options.
  • Next quarter: Work with a Senior Specialist to design a custom data classification rule for a new data type.
  • Month 3-6: Map the data lineage for a critical business process, documenting all data movements.
  • Month 6-12: Research how data discovery tools can be integrated into our existing development workflows.

Quick win: Volunteer to help a Senior Specialist with a complex data mapping exercise. Explore the advanced features of our current data discovery tools.

Privacy Engineering Principles & Secure Coding

To truly embed privacy by design, you need to speak the language of engineers. This means understanding secure coding practices and how privacy controls are actually implemented in code, not just in policy.

Privacy Design Patterns · Threat Modelling for Privacy · Secure Coding Best Practices · Privacy-Enhancing Cryptography

  • This month: Shadow an engineer during a code review focused on data handling.
  • Next quarter: Take an introductory course on secure coding or application security.
  • Month 3-6: Work with engineering to define and document a reusable privacy design pattern for a common issue.
  • Month 6-12: Lead a privacy threat modelling session for a new feature, focusing on technical implementation.

Quick win: Read a foundational book or online guide on privacy engineering. Ask an engineer to explain how they implement a specific privacy control in their code.

9Staying current once you are in

What people here do to keep up
  • Attending industry webinars and conferences (e.g., IAPP events) to stay current on privacy trends and regulatory changes.
  • Participating in online courses or workshops on specific privacy-enhancing technologies or secure development practices.
  • Engaging with internal working groups focused on data governance, information security, or ethical AI.
  • Reading relevant legal updates, guidance from regulatory bodies (like the ICO), and industry best practice reports regularly.

10How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

The new skill this role is being asked for: Ethical AI & Data Governance

As we use more AI and machine learning, especially with sensitive health data, understanding the ethical implications—bias, fairness, transparency—becomes as important as legal compliance. Regulators are increasingly looking at this.

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

Your PlanIllustration

Built for Privacy by Design Specialist

4 units that map to this job, from the qualifications that cover it.

  1. Data protection in public serviceCity and Guilds of London Institute · covers 4 of 6 standardsLevel 3
  2. Data ProtectionOpen Awards · covers 3 of 6 standardsLevel 3
  3. EU GDPR and Data SecurityQualifi Ltd · covers 2 of 6 standardsLevel 3
  4. Store, manage and distribute data securelyNCFE · covers 1 of 6 standardsLevel 3
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Ethical AI & Data Governance

As we use more AI and machine learning, especially with sensitive health data, understanding the ethical implications—bias, fairness, transparency—becomes as important as legal compliance. Regulators are increasingly looking at this.

  • Algorithmic Bias Detection
  • Explainable AI (XAI)
  • AI Act (EU)
  • Data Ethics Frameworks

What you’ll use

Skills this role draws on

Technical

  • Privacy by Design (PbD) Implementation
  • Data Protection Impact Assessments (DPIAs/PIAs)
  • Privacy Threat Modeling (LINDDUN Framework)
  • Data Minimisation & Pseudonymisation Techniques
  • Records of Processing Activities (RoPA) Management

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Junior Privacy Analyst / Privacy Assistant

    1-2 years

    Skills to master

    • Foundational understanding of privacy regulations, basic data mapping, documentation skills, and initial exposure to privacy impact assessments.

    You're ready to move on when

    • Can accurately complete assigned privacy tasks with minimal supervision.
    • Demonstrates a keen interest in data privacy and its technical aspects.
    • Proactively seeks to understand the 'why' behind privacy requirements.
    • Reliably manages small-scale privacy documentation updates.
  2. 2

    Compliance Officer / Risk Analyst (with privacy focus)

    2-3 years

    Skills to master

    • Risk assessment methodologies, understanding of regulatory frameworks, internal control design, and experience translating legal requirements into operational processes.

    You're ready to move on when

    • Has managed compliance for specific regulations, with a strong privacy component.
    • Can identify and assess compliance risks in business processes.
    • Effectively communicates regulatory requirements to business units.
    • Shows initiative in proposing solutions to compliance challenges.
  3. 3

    Information Security Analyst (with data protection responsibilities)

    2-4 years

    Skills to master

    • Understanding of security controls, data classification, incident response, and how security measures contribute to data protection.

    You're ready to move on when

    • Has experience with data loss prevention (DLP) or data encryption technologies.
    • Understands the technical implementation of security controls.
    • Can articulate the intersection of security and privacy principles.
    • Proactively identifies data protection gaps in systems.

11Where this role leads

The long view:Your journey here is about becoming a trusted expert in a field that's only growing in importance. We're committed to helping you build a career that's both challenging and rewarding, making a real difference in how we protect sensitive data.

Pay & demand

Pay and demand for this role will appear here, each figure traced to a named authoritative source (e.g. the ONS Annual Survey of Hours and Earnings, under the Open Government Licence). We don’t show numbers we can’t attribute.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Privacy by Design Specialist is actually changing. In about two minutes, the free confidence check asks where you stand on each of the ten. That's the whole check, and it's what makes the plan yours rather than generic.

Where it leads

Roles this leads to

12The team that's yours

No two people are taught the same way. This is one-to-one, not one-to-many.

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

13What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Data protection in public serviceLevel 3

Applied to your work in Privacy by Design Specialist

This unit aims to enable learners to retrieve, use, store, and dispose of public service data in compliance with legal and organisational data protection requirements.

How the thinking builds
  1. Remember
  2. Understand
  3. Apply
  4. Analyse
  5. Evaluate
  6. Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

  1. Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
  2. What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
  3. The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
  4. How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
  5. Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

DemonstrateIllustration

Evidenced on your work in Privacy by Design Specialist

You do not finish by watching something. You finish by showing it on the work you already do, against the measures this job is judged on.

  • Average Time to Close Low-Risk Privacy ReviewsThe typical time it takes from receiving a low-risk project for review to providing final privacy sign-off.If you review 10 low-risk projects in a month, and the average time from intake to sign-off is 2.5 days, you're hitting the target.< 3 business days
  • Accuracy of RoPA/DPIA DocumentationThe percentage of Records of Processing Activities (RoPA) and Data Protection Impact Assessments (DPIA) you complete or update that pass internal quality checks without significant errors.Out of 50 RoPA entries you've reviewed or created this quarter, only one had a minor error in the lawful basis description, leading to a 98% accuracy rate.> 98%
  • Number of Proactive Privacy Recommendations AdoptedThe count of specific privacy-enhancing design suggestions you make to product or engineering teams that are actually implemented before launch.You suggested using a specific pseudonymisation technique for a new analytics dashboard, and the engineering team built it in, counting as one adoption.3-5 per quarter
  • Completion Rate of Assigned Privacy AssessmentsThe percentage of privacy assessments (DPIAs, PIAs) assigned to you that are completed within their agreed-upon timelines.If you were assigned 8 assessments this month and completed 7 on time, that's an 87.5% completion rate, meaning you'd need to improve slightly.> 90%
These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.

Your passport

This isn't a certificate you file away. It's a passport to the life you're designing.

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Privacy by Design Specialist to Senior Privacy by Design Specialist (L3), and whatever you decide comes after.

Level 3 · in progressAI Fluency→ Senior Privacy by Design Specialist (L3)→ your design
Where this takes you

Your journey here is about becoming a trusted expert in a field that's only growing in importance. We're committed to helping you build a career that's both challenging and rewarding, making a real difference in how we protect sensitive data.

See Your Progress GrowIllustration
Privacy by Design Specialist
  • Privacy by Design (PbD) Implementation
  • Data Protection Impact Assessments (DPIAs/PIAs)
  • Privacy Threat Modeling (LINDDUN Framework)
  • Data Minimisation & Pseudonymisation Techniques
  • Records of Processing Activities (RoPA) Management
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

14The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Privacy by Design Specialist is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior Privacy by Design Specialist (L3)

    3-5 years in current role

    You'll move from independently managing medium-risk projects to leading the most complex, high-risk assessments (e.g., for AI/ML models) and mentoring junior analysts.

    • Advanced Privacy Threat Modeling: Leading LINDDUN workshops and defining privacy-centric threat scenarios.
    • Privacy Engineering Patterns: Designing and advocating for reusable privacy patterns and controls for engineering teams.
    • Complex Regulatory Interpretation: Dissecting ambiguous regulatory guidance and translating it into clear, actionable requirements.
Working with AI on the job

Working with AI

Where AI is starting to help

Imagine getting through your privacy reviews faster, understanding complex regulations in minutes, and even getting a head start on documentation. AI isn't here to replace you; it's here to give you superpowers, letting you focus on the really interesting, strategic privacy challenges.

In Compliance, Quality, Health & Safety, especially in Privacy by Design, the sheer volume of information—from regulatory updates to project documentation—can be overwhelming. AI tools can cut through this noise, automating the mundane and accelerating your analysis, giving you back precious time.

Automated DPIA Triage

AI can scan new project briefs in Jira, automatically flagging high-risk indicators like 'children's data' or 'cross-border transfers'. It'll even pre-populate your DPIA templates with relevant risk areas, turning a two-hour initial assessment into a quick 20-minute review.

Regulatory Intelligence Synthesis

Picture an AI agent constantly monitoring global privacy law updates, enforcement actions from the ICO or CNIL, and court rulings. You'll get a weekly, synthesised brief, highlighting only the changes that directly impact our patient data processing activities. No more sifting through endless legal updates yourself.

AI-Assisted Policy Translation

When Legal drafts a new, dense policy, AI can translate that 'legalese' into clear, actionable requirements for different teams. Think a ready-made Jira ticket for engineers, a simple process document for operations, and an easy-to-understand FAQ for the business. Instant clarity.

Privacy-Aware Code Completion

Using tools like GitHub Copilot, trained on our internal privacy standards, AI can suggest code snippets that already include necessary controls—like data masking, consent checks, or logging for data access—directly in the developer's environment. This reduces remediation cycles significantly.

Common questions

Common questions

How do you become a Privacy by Design Specialist?

Common routes in include Junior Privacy Analyst / Privacy Assistant (1-2 years), Compliance Officer / Risk Analyst (with privacy focus) (2-3 years) and Information Security Analyst (with data protection responsibilities) (2-4 years). Times vary with prior experience.

Where can a Privacy by Design Specialist progress to?

This role can lead on to Senior Privacy by Design Specialist (L3) (3-5 years in current role), depending on the skills you build.

What level is a Privacy by Design Specialist in the UK?

This role aligns to RQF Level 3 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for a Privacy by Design Specialist?

Increasingly, Ethical AI & Data Governance. These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows a Privacy by Design Specialist, works on the job you actually do, and keeps going at your pace rather than a timetable's.

  • Searching and planning stay free. You only pay when you start learning.
  • Your credits are yours. Regulated, and they don't vanish when a subscription ends.
  • Cancel any time and billing stops. No notice period, no minimum term.

Your path, personalised

You have the map. Walking it is the part we do together.

This route runs to 6 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming a Privacy by Design Specialist: personal to you, and it still counts. The first steps are free.

Independent research finds well-designed intelligent tutoring performs nearly as well as one-to-one human tutoring: VanLehn (2011), Educational Psychologist.

A private tutor in the UK averages £35–40 an hour . Zavmo is £70/month.

A real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.
Start free No commitment. See your first steps free.

15Where to go from here

Other roles at Level 3

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

Other roles in Compliance Quality Health Safety

Stay in the field you know and move sideways rather than up.

If you leave this industry

The skills you'll build here are highly transferable. You could move into privacy roles in other regulated industries like finance, telecommunications, or even government. The core principles of privacy by design and regulatory compliance are universal, though the specific regulations will change.

Not sure this is the right direction?

Work out what you actually want from work first, then come back and see which roles fit it. Takes about ten minutes.

This role profile is © 2026Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Build my plan, free Here's the first ten minutes: a 2-minute confidence check → your personalised roadmap → meet the tutors matched to you. No card, cancel any time. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.