UK

United Kingdom · Sustainability · Mid-Level (2-5 years)

ESG Integration Manager

Here is the whole job, in plain words. What it is, 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.

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As an ESG Integration Manager, a good place to start on Prompt Engineering & LLM Integration is Using and Checking AI Tools in Daily Work, a free Future Fluency module at Level 3. You'd practise using everyday AI tools on real tasks from your own week, and checking what they produce before you use it.

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  • Experience bandMid-Level (2-5 years)
  • Direct reportsNo direct reports
  • Reports toSenior ESG Integration Manager
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as ESG Specialist · Sustainability Analyst · Corporate Responsibility Advisor

Built on 43,079 real UK job descriptions we analysed · grounded in what real qualifications cover

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

ABBE Level 3 Diploma in Domestic Green Deal Advice Awarding Body for the Built Environment · Level 3 · covers 1 of 5 standards
ABBE Level 4 Diploma in Non Domestic Green Deal Advice Awarding Body for the Built Environment · Level 4 · covers 1 of 5 standards
EAL Level 4 NVQ Extended Diploma in Engineering Manufacture Excellence, Achievement & Learning Limited · Level 4 · covers 1 of 5 standards
EAL Level 4 NVQ Diploma in Engineering Manufacture Excellence, Achievement & Learning Limited · Level 4 · covers 1 of 5 standards
GQA Level 7 NVQ Diploma in Construction Senior Management GQA Qualifications Limited · Level 7 · covers 1 of 5 standards
Highfield Level 7 NVQ in Construction Senior Management (RQF) Highfield Qualifications · Level 7 · covers 1 of 5 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Prepare and issue domestic Green Deal Advice Reports ABBE Level 3 Diploma in Domestic Green Deal Advice
Prepare and issue non-domestic Green Deal Advice Reports ABBE Level 4 Diploma in Non Domestic Green Deal Advice
Manage the environmental impact of work activities EAL Level 4 NVQ Extended Diploma in Engineering Manufacture
Assess and evaluate the sustainability and environmental impact of developments in construction management GQA Level 7 NVQ Diploma in Construction Senior Management
Sustainability and environmental impact of developments in construction management Highfield Level 7 NVQ in Construction Senior Management (RQF)

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Sustainability Fluency building care for people and planet into the work
Systems Fluency seeing the whole picture
Your Plan Illustration

Built for ESG Integration Manager

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

  1. Prepare and issue domestic Green Deal Advice Reports Awarding Body for the Built Environment · covers 1 of 5 standards Level 3
  2. Prepare and issue non-domestic Green Deal Advice Reports Awarding Body for the Built Environment · covers 1 of 5 standards Level 4
  3. Manage the environmental impact of work activities Excellence, Achievement & Learning Limited · covers 1 of 5 standards Level 4
  4. Assess and evaluate the sustainability and environmental impact of developments in construction management GQA Qualifications Limited · covers 1 of 5 standards Level 7
  5. Sustainability and environmental impact of developments in construction management Highfield Qualifications · covers 1 of 5 standards Level 7
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.

2AI and this work

Will AI change your work as an ESG Integration Manager?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • Prompt Engineering & LLM Integration
  • Advanced Data Storytelling & Visualisation
Why each one is rising

The future skills this job leans on

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

What happens when you start

Next, a free account. We build your ESG Integration Manager plan as you set up, starting with the free AI Fluency module. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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Keep this read. One email with what AI is changing in this job, the new skills it asks for and where to start free. Nothing else follows unless you confirm your address.

3What this role really is

An ESG Integration Manager collects, analyses and reports on environmental, social and governance data across a business.

4What you'd actually use

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

Workiva / OneTrust / MSCI ESG Manager (or similar ESG Data Platforms) Intermediate

Pulling standard reports, accurately inputting data into pre-built templates, performing basic data validation, and navigating the system to find relevant information.

Microsoft Excel (Power Query, Pivot Tables, XLOOKUP) Advanced

Manipulating large, often messy datasets; building and updating complex models for GHG inventories; creating compelling charts and tables for reports. You'll be debugging formula errors regularly.

Power BI / Tableau (or similar Analytics & BI tools) Intermediate

Building and maintaining dashboards from clean, structured data sources. You'll update existing reports and create new visualisations to present ESG data internally.

Microsoft Teams / SharePoint / Asana (or similar Collaboration tools) Intermediate

Effectively using channels for project updates, managing your tasks in Asana, and navigating SharePoint for document retrieval and version control. It's how we keep everything organised.

ServiceNow GRC / Archer (or similar GRC Systems) Basic

Understanding how ESG risks are logged and tracked within our broader governance, risk, and compliance framework. You'll be able to pull relevant risk data for reporting, but won't be configuring the system.

5What 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 in Where you are nowThe step above
ESG Data Collection Methodology Follows established procedures; escalates any deviations or new requirements to supervisor. Chooses appropriate method for routine data collection within guidelines; proposes new methods for manager review. Designs and implements new data collection methodologies for entire workstreams; consults with Director on strategic changes.
External Reporting Content (specific sections) Populates pre-designed templates with data; content reviewed by supervisor. Drafts specific report sections independently; submits for Senior Manager review and approval. Owns and leads the development of major report sections (e.g., TCFD); makes recommendations on disclosure strategy to leadership.
Internal Stakeholder Communication Responds to direct requests from immediate team; supervisor handles external communication. Communicates directly with internal data providers for routine requests; escalates complex or sensitive issues to Senior Manager. Leads communication with cross-functional leads on data requirements and reporting timelines; represents the team in internal project meetings.
Process Improvement Identifies minor inefficiencies; suggests improvements to supervisor. Identifies process bottlenecks and proposes solutions for manager approval; implements approved changes for own workstreams. Designs and implements significant process improvements across multiple workstreams; influences broader departmental process changes.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

ESG Data Accuracy
The precision and correctness of the ESG data points you're responsible for collecting and reporting.
Target · Less than 2% error rate in managed datasets (e.g., GHG inventory, water usage).

If you're managing our Scope 1 & 2 emissions data, we'd expect fewer than 2 errors for every 100 data points reviewed by an internal or external auditor.

Timely Data Delivery
Ensuring all required ESG data and report sections are submitted by internal deadlines.
Target · 100% of data requests and report sections delivered on or before deadline.

Delivering the complete water usage data for the annual report by the 15th of January, as per the project schedule, without needing extensions.

Report Section First-Pass Accuracy
The quality of your initial draft contributions to our public sustainability reports, requiring minimal revisions from senior colleagues.
Target · 95% of your submitted report sections (e.g., GRI content index, specific TCFD disclosures) require only minor edits.

Your draft of the waste management section for the annual report only needed a few tweaks to wording, not fundamental data corrections or structural changes.

ESG Rating Agency Data Completeness
The percentage of requested data points from key ESG rating agencies (like MSCI or Sustainalytics) that you can provide accurately and on time.
Target · Achieve 90% data completeness for responses to major ESG rating agency questionnaires.

For a Sustainalytics questionnaire with 200 data points, you'd successfully provide 180 accurate responses, demonstrating strong data collection.

Internal Stakeholder Feedback
How well you collaborate with and support internal teams in their ESG data collection efforts.
  • Positive feedback from Operations, HR, and Procurement teams on the clarity of your data requests, your helpfulness in explaining 'why', and your ability to make the process as smooth as possible. They'll actually answer your calls and emails promptly, which, honestly, is a huge win.
Proactive Problem Identification
Your ability to spot potential issues with data quality or reporting gaps before they become bigger problems.
  • You're the one flagging that a new facility's energy data isn't being captured, or that a change in a supplier contract might impact our Scope 3 emissions. You'll bring these issues to your manager with potential solutions, not just problems.
Process Improvement Contributions
Identifying and proposing practical ways to make our ESG data collection and reporting processes more efficient or robust.
  • You'll suggest a simpler way to collect travel data, or propose a new template for facility managers that reduces errors. These aren't huge, strategic shifts, but practical, day-to-day improvements that make everyone's lives a bit easier.
Understanding of 'The Alphabet Soup'
Your growing practical understanding of how different ESG reporting frameworks (GRI, SASB, TCFD) apply to our business.
  • You can explain the difference between a GRI disclosure and a SASB metric to a colleague without getting tangled up. You'll know which framework applies to which piece of data we're collecting and why it matters for our specific industry.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Making a Tangible Impact

You'll feel a real sense of purpose knowing that your accurate data and clear reporting directly contribute to our company's sustainable practices and public image. Seeing your work published in our annual report or cited by an investor is genuinely rewarding.

You've spent weeks meticulously compiling our waste data, and then you see it clearly presented in the annual report, showing a 10% reduction. That's a direct outcome of your effort.

Solving Complex Data Puzzles

If you love diving into messy spreadsheets, connecting disparate data points, and finding the story hidden within the numbers, you'll get a kick out of this. Every data challenge is a puzzle to solve, and you're the detective.

You're given five different spreadsheets for energy consumption from various sites, all in different formats and units. Your job is to harmonise them into one clean, consistent dataset – and you enjoy the process.

Continuous Learning and Growth

The ESG landscape is constantly evolving. New regulations, new frameworks, new investor expectations. If you're someone who thrives on learning and staying ahead of the curve, you'll find plenty of opportunities to expand your knowledge and skills.

You're always reading up on the latest ISSB standards or how a new piece of EU legislation might impact our reporting. You see these changes as exciting challenges, not burdens.

What frustrates people
  • The 'Data Scavenger Hunt': Spending 60% of your time chasing down operational data from various teams who don't always prioritise your requests.
  • Regulatory Whiplash: You just spent months aligning reporting to one framework, only for a new, mandatory regulation to emerge, requiring a completely different approach.
  • Walking the Greenwashing Tightrope: Constantly balancing telling a good story with the fear that marketing will overstate it, leading to public backlash.
  • Internal Skepticism: Being viewed by some colleagues as a 'corporate social worker' or a cost centre, rather than a driver of long-term value and risk mitigation.
  • Messy Data: Dealing with inconsistent formats, missing data points, and unit conversion errors on a regular basis.
What this role does not give you
  • A perfectly structured, predictable workflow with all data readily available.
  • Direct authority over operational teams to enforce data submission.
  • Immediate, large-scale impact on company strategy (that comes at more senior levels).
  • A quiet, solitary role – you'll be interacting with lots of different people.

8Who you work with

Your work directly underpins our external ESG disclosures. Get it right, and we build trust and attract capital. Get it wrong, and we face reputational damage, regulatory scrutiny, and potentially higher costs of capital. You're essentially the engine room for our public sustainability story.

Inside the business
  • Operations and Facilities teams (for energy, water, waste data)
  • Procurement (for supply chain and Scope 3 emissions data)
  • HR (for diversity, equity, and inclusion metrics)
  • Finance (for capital expenditure related to sustainability projects)
  • Legal and Compliance (for review of public disclosures)
  • Marketing and Communications (for help translating our story)
Outside the business
  • ESG Rating Agencies (MSCI, Sustainalytics, CDP)
  • Investors and Shareholders (who scrutinise our reports)
  • Regulators (e.g., FCA, EU authorities)
  • External Auditors (for assurance-ready data)

9What 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 sustainability, ESG, data analysis, or a related role where you regularly handled complex data sets.
  • A proven track record of managing projects or workstreams independently, hitting deadlines, and delivering accurate outputs.
  • Strong analytical skills, with a demonstrated ability to identify and solve data quality issues.
  • Excellent written and verbal communication skills, especially when explaining technical information to non-technical audiences.
  • A genuine interest in sustainability and a desire to make a positive impact through your work (not just a passing fad).

10What to practise next

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

ESG Data Platform Configuration & Optimisation

Important within 12 months. You'll need to move beyond just inputting data. Understanding how to configure data collection workflows, build custom dashboards, and perform gap analyses directly within platforms like Workiva or MSCI ESG Manager will be crucial.

Workflow automation within ESG platforms · Custom dashboard creation · Integration capabilities (APIs)

  • This month: Work closely with our platform administrators to understand the backend setup of our ESG data platform.
  • Month 2: Volunteer to build a new internal dashboard within the platform for a specific data stream.
  • Month 3: Explore the platform's API documentation (if available) to understand integration possibilities.
  • Month 4: Attend a platform-specific training course on advanced configuration.

Quick win: Ask your Senior Manager if you can shadow them during a platform configuration session or a meeting with the vendor. Learn by observing.

Advanced Excel Modelling & Automation

Always critical. While we use dedicated platforms, Excel remains the workhorse for bespoke analysis, scenario modelling, and data cleaning. You'll need to move beyond basic formulas to truly automate and robustly model complex ESG scenarios.

VBA for macro automation · Advanced Power Query for data transformation · Scenario modelling with Excel functions

  • This month: Identify one repetitive Excel task you do weekly and try to automate it with a simple macro or Power Query.
  • Month 2: Take an online course on advanced Power Query techniques.
  • Month 3: Practice building a simple scenario model for a hypothetical emissions reduction project.
  • Month 4: Seek out complex Excel challenges from your Senior Manager or colleagues to solve.

Quick win: Start using Power Query for all your data imports into Excel. It's a game-changer for data cleaning and repeatability.

11Staying current once you are in

What people here do to keep up
  • Attending webinars and workshops on emerging ESG regulations (e.g., CSRD, ISSB).
  • Participating in industry forums or working groups related to sustainability reporting or data management.
  • Taking online courses to deepen your expertise in specific areas like climate risk analysis or social impact measurement.
  • Reading key publications from organisations like the World Economic Forum, CDP, or the IFRS Foundation to stay current.

12The rising capability

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.

Prompt Engineering & LLM Integration

Critical within 6 months—this isn't future-gazing, it's already happening. Competitors are using tools like ChatGPT or Claude to draft report sections in minutes that used to take hours. Analysts who figure this out will outproduce their peers significantly.

  • Context windows and token limits
  • Temperature settings for different tasks
  • RAG (Retrieval Augmented Generation) architectures
  • Output validation and hallucination detection
  • Prompt chaining for complex analysis

Advanced Data Storytelling & Visualisation

Important within 12 months. Simply presenting numbers isn't enough anymore. Investors and stakeholders want compelling narratives supported by clear, impactful visuals. Your ability to turn complex ESG data into an understandable story will become a key differentiator.

  • Principles of effective data visualisation
  • Narrative structure for data-driven reports
  • Interactive dashboards for stakeholder engagement
  • Ethical considerations in data presentation

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • ESG Reporting Frameworks (SASB, TCFD, GRI, ISSB S1/S2)
  • Double Materiality Assessment
  • GHG Accounting & Inventory Management (GHG Protocol)
  • ESG Rating Agency Deconstruction
  • Stakeholder Engagement & Mapping (Internal Focus)

14The pathway

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

    ESG Analyst (L1) within our team or similar organisation

    1-2 years

    Skills to master

    • Mastering data collection, basic validation, report population, and understanding core ESG concepts. You'd be the one doing the groundwork.

    You're ready to move on when

    • Consistently delivering accurate data on time.
    • Proactively identifying minor data issues.
    • Showing initiative in learning new reporting frameworks.
    • Building good relationships with internal data providers.
  2. 2

    Data Analyst / Business Analyst in a related field

    2-3 years

    Skills to master

    • Transferring strong analytical and data management skills to the ESG domain, quickly learning sustainability concepts and reporting frameworks. You'd already be a whiz with Excel and Power BI.

    You're ready to move on when

    • Demonstrated ability to handle large, complex datasets.
    • Strong problem-solving skills for data discrepancies.
    • A clear passion for sustainability and a quick grasp of ESG fundamentals.
    • Experience working with diverse internal stakeholders.
  3. 3

    Junior Consultant at an ESG advisory firm

    2-4 years

    Skills to master

    • Applying client-facing experience to internal stakeholder management, bringing a broad understanding of different industry approaches to ESG. You'd have seen how different companies tackle these challenges.

    You're ready to move on when

    • Experience in project-based work with tight deadlines.
    • Ability to quickly understand new business contexts.
    • Strong presentation and client communication skills.
    • Exposure to multiple ESG reporting frameworks and client needs.

15Where this role leads

The long view: This work can lead to senior ESG or sustainability roles, such as VP of Sustainability or Chief Sustainability Officer.

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 ESG Integration Manager is actually changing.

Where it leads

Roles this leads to

Also named as a next step, with no page in the catalogue yet:

  • ESG Data Scientist (Specialist IC Path)

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Prepare and issue domestic Green Deal Advice Reports, worked against ESG Integration Manager.

Prepare and issue domestic Green Deal Advice Reports Level 3

Applied to your work in ESG Integration Manager

This unit aims to provide learners with the knowledge and skills to prepare accurate and comprehensive domestic Green Deal Advice Reports, based on collected data and assessments of energy efficiency measures, and to understand the procedures for lodging and issuing these reports.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 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.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

See Your Progress Grow Illustration
ESG Integration Manager
  • ESG Reporting Frameworks (SASB, TCFD, GRI, ISSB S1/S2)
  • Double Materiality Assessment
  • GHG Accounting & Inventory Management (GHG Protocol)
  • ESG Rating Agency Deconstruction
  • Stakeholder Engagement & Mapping (Internal Focus)
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.

16The 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

ESG Integration Manager is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior ESG Integration Manager (L3)

    3-5 years in role

    You'd move from owning specific data streams to leading major, cross-functional ESG projects (like the annual TCFD report or a full materiality assessment). You'd also start mentoring junior analysts more formally.

    • Designing and implementing new data collection processes.
    • Leading responses to complex ESG rating agency questionnaires.
    • Developing internal training on ESG reporting best practices.
    • Contributing to the strategic direction of specific reporting frameworks.

  2. ESG Data Scientist (Specialist IC Path)

    4-6 years in role (requires significant upskilling)

    This is a specialist individual contributor (IC) path. You'd dive much deeper into advanced analytics, machine learning, and data engineering specifically for ESG data, focusing on building predictive models and automated systems.

    • Programming in Python or R for data manipulation and analysis.
    • Building machine learning models for ESG risk prediction or sentiment analysis.
    • Designing and maintaining ESG data pipelines.
    • Working with cloud platforms (e.g., Azure, AWS) for data storage and processing.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of ESG work is about sifting through data, drafting reports, and answering repetitive questions. What if you could cut down on that busywork, freeing you up for the really interesting stuff—like strategy and deep analysis? That's where AI comes in.

We're not talking about replacing you; we're talking about giving you a serious upgrade. Imagine AI as your super-efficient assistant, handling the tedious tasks so you can focus on the critical thinking, relationship building, and problem-solving that truly moves the needle. For an ESG Integration Manager, this means less time wrestling with spreadsheets and more time making a real impact.

Automated Disclosure Benchmarking

Use an AI tool to quickly scan and analyse the sustainability reports and 10-Ks of our competitors. It can automatically extract and tabulate their climate targets, water usage, and diversity metrics, giving you a clear picture of where we stand without hours of manual reading. For an ESG Integration Manager, this means you can quickly see gaps in our own reporting or identify best practices to adopt.

Emerging Risk Radar

Deploy an NLP (Natural Language Processing) model to constantly monitor news, regulatory filings, and NGO reports in real-time, flagging emerging ESG issues specific to our industry—like 'water stress in a key sourcing region' or 'new plastics regulations'—before they become mainstream investor concerns. This helps you proactively gather data and prepare responses, rather than reacting to surprises.

First-Draft Narrative Generation

Feed structured data (GHG emissions, safety statistics, diversity numbers) into a generative AI model. It can then create a solid first draft of the narrative for a specific section of our sustainability report, ensuring all key data points are included and the language is consistent. You'll then refine it, adding the human touch and strategic context, rather than starting from a blank page.

Investor Q&A Preparation

Use AI to analyse past earnings call transcripts, investor letters, and ESG questionnaires. It can predict likely ESG questions for the upcoming quarter and even generate model answers with supporting data points for your Senior Manager. This means you're always one step ahead, helping us provide robust, consistent responses to investor scrutiny.

Common questions

Common questions

How do you become an ESG Integration Manager?

Common routes in include ESG Analyst within our team or similar organisation (1-2 years), Data Analyst / Business Analyst in a related field (2-3 years) and Junior Consultant at an ESG advisory firm (2-4 years). Times vary with prior experience.

Where can an ESG Integration Manager progress to?

This role can lead on to Senior ESG Integration Manager (3-5 years in role) and ESG Data Scientist (Specialist IC Path) (4-6 years in role (requires significant upskilling)), depending on the skills you build.

What new skills matter most for an ESG Integration Manager?

Increasingly, Prompt Engineering & LLM Integration and Advanced Data Storytelling & Visualisation. These are the skills our record of this role lists as growing.

Free tools

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17Where 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.

 More jobs in sustainability

Stay in the field you know and move sideways rather than up.
If you leave this industry

The skills involved are transferable. They can lead to ESG consulting, investor relations with an ESG focus, corporate sustainability roles in other industries, or work with regulatory bodies focused on sustainable finance.

This role profile is © 2026 Growth 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. Start my free AI Fluency module What happens next: a free account, then we build your plan as you set up. 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.