UK

United Kingdom · Sustainability · Principal/Manager (12-16 years)

ESG Data & Reporting 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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  • Experience bandPrincipal/Manager (12-16 years)
  • Direct reports5-10 reports
  • Reports toDirector of ESG & Sustainability Data
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Head of ESG Data · Sustainability Reporting Lead · Senior Manager, ESG Analytics

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

NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 1 of 4 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 4 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 1 of 4 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 1 of 4 standards

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

The units you would start with

Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science
Data-led Decision Making Level 6 Award in Data-led Decision Making
Apply the Concepts of Data Science to Computer Engineering NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science)
Data Management Software Skills AIM Qualifications Entry 3 Diploma in Skills for Working in Business, Administration and Customer Service Industries
Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England

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
Frontier Fluency the next wave, beyond mainstream AI
Your Plan Illustration

Built for ESG Data & Reporting Manager

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

  1. Introduction to Data Science and Big Data NCC Education Limited · covers 1 of 4 standards Level 5
  2. Data-led Decision Making Institute of Sales Professionals · covers 1 of 4 standards Level 6
  3. Apply the Concepts of Data Science to Computer Engineering NOCN · covers 1 of 4 standards Level 5
  4. Data Management Software Skills AIM Qualifications · covers 1 of 4 standards Entry Level
  5. Data Analytics Pearson Education Ltd · covers 1 of 4 standards Level 5
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 Data & Reporting 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

  • AI Ethics & Governance in ESG Data
  • Blockchain for Supply Chain Traceability & ESG Verification
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 Data & Reporting Manager plan as you set up, starting with the free Data 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 Data & Reporting Manager oversees the collection, checking and reporting of environmental, social and governance data for investors and regulators.

4What you'd actually use

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

ESG Data Platforms (e.g., MSCI ESG Manager, Sustainalytics, Refinitiv Eikon, Bloomberg ESG) Strategic

You'll lead vendor selection and negotiation for new platforms, oversee their integration into our enterprise systems, and define how your team uses them to manage and report data. You're thinking about the long-term platform strategy.

Reporting & GRC Platforms (e.g., Workiva, OneTrust, Cority) Architect

You'll own the enterprise GRC/ESG platform strategy, ensuring it meets our evolving reporting and compliance needs. This involves integrating modules for audit, risk, and compliance across the organisation and driving adoption.

Data Analysis Tools (e.g., Python (pandas, NumPy), Advanced SQL, Excel) Strategic

You'll oversee the analytical toolkit strategy for your team, championing the use of advanced analytics (like predictive modelling for risk) and approving investments in new tools. You might not be coding daily, but you'll understand the capabilities and limitations.

Data Visualization Tools (e.g., Power BI, Tableau) Strategic

You'll define the enterprise-wide ESG data visualisation standards and ensure consistency. You'll regularly present complex ESG dashboards to the board and senior leadership, using tools like Tableau Server or Power BI Premium to communicate insights effectively.

Collaboration & Project Management (e.g., MS Teams, Asana, Jira, Confluence/Notion) Strategic

You'll use these tools to manage complex cross-functional ESG data programs, track progress across multiple reporting cycles, and report updates to executive leadership. You'll ensure your team's documentation is robust and accessible.

Enterprise Data Warehouses (e.g., Snowflake, Databricks) & ERPs (e.g., SAP S/4HANA, Oracle ERP) Architect

You'll partner closely with the Chief Data Officer (CDO) and IT to design the ESG data domain within our overall enterprise data architecture. This involves defining data pipelines, ensuring data quality, and integrating ESG data into our core business systems.

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 Platform Selection Follows existing platform usage guidelines. Reports issues. Proposes minor enhancements or new features within existing platforms, subject to manager approval. Researches and recommends new modules or alternative platforms for specific use cases, with cost-benefit analysis. Manager approves.
ESG Report Content & Narrative Drafts specific sections based on templates and manager guidance. Independently drafts full sections, proposing minor content adjustments. Manager reviews. Designs overall report structure and narrative flow. Makes recommendations on key messages. Director/CSO approves final narrative.
Team Hiring & Performance No hiring authority. Provides input on team processes. No hiring authority. Provides peer feedback. Participates in interviews for junior roles. Provides feedback for performance reviews. Manager makes final hiring/performance decisions.
Budget Allocation (within function) No budget authority. Reports expenses. No budget authority. Requests resources for specific tasks. Manages small project budgets (up to £5K). Recommends larger expenditures to Manager.

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 Rating Improvement
The overall improvement in our company's scores from key ESG rating agencies.
Target · Contribute to a one-letter grade improvement (e.g., from 'BBB' to 'A') in at least one major ESG rating (e.g., MSCI, Sustainalytics) over an 18-month cycle.

After 18 months, our MSCI rating moved from 'BBB' to 'A', largely due to improved data disclosure and accuracy in areas like human capital management.

Assurance Success Rate
Achieving a successful third-party 'limited assurance' opinion on our annual ESG report.
Target · Achieve a successful 'limited assurance' opinion with zero major findings and fewer than three minor findings for the annual ESG report.

Our 2024 ESG report received a clean limited assurance opinion from PwC, with only two minor recommendations for process documentation.

Data Accuracy & Completeness
The error rate and completeness of data presented in public ESG disclosures.
Target · Maintain a verified error rate of less than 0.5% for all critical data points in public disclosures (e.g., annual report, investor presentations) and achieve 98% completeness for required data fields.

An internal review of our Q2 emissions data found only one minor transcription error out of 500 data points, resulting in a 0.2% error rate.

Reporting Timeliness
The on-time delivery of all regulatory and voluntary ESG reports.
Target · Achieve 100% on-time delivery for all mandatory regulatory submissions (e.g., CSRD, TCFD) and voluntary reports (e.g., GRI, CDP) against published deadlines.

We submitted our CDP questionnaire two weeks ahead of the deadline, allowing ample time for internal review and sign-off.

Strategic Influence & Impact
How often ESG data and insights are directly used to inform major business decisions or shape strategy.
  • ESG data insights are directly cited as a rationale in at least one significant capital allocation or strategic business decision per year. You're proactively invited to strategic planning meetings, not just asked for numbers. Your team's analysis is seen as a credible input, not just a compliance exercise.
Team Development & Retention
The growth, engagement, and retention of your direct reports.
  • Your direct reports consistently meet their development goals, show measurable skill improvement (e.g., in Python, SQL), and express high job satisfaction in internal surveys. You'll see a voluntary attrition rate for your team that's below the department average, and we'll see clear succession planning in place for key roles.
Stakeholder Trust & Collaboration
Being seen as a trusted partner and expert by internal and external stakeholders.
  • Operational teams proactively reach out to you for guidance on data collection, rather than waiting for your requests. External auditors give positive feedback on the clarity and organisation of your team's documentation. You're seen as the 'go-to' person for complex ESG data questions across the organisation.
Process Optimisation & Innovation
Driving continuous improvement in ESG data collection, analysis, and reporting processes.
  • Your team implements at least two significant process improvements annually (e.g., automating a manual data feed, streamlining a reporting workflow). You're actively exploring and piloting new technologies (like AI tools) to enhance efficiency and accuracy, and sharing those learnings across the department.

7Would you like it

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

What people enjoy
Building and Optimising Systems

You'll spend time designing new data collection workflows, evaluating new ESG data platforms, and figuring out how to automate manual processes. It's about making the whole machine run smoother and more reliably.

Leading the project to integrate a new ESG data platform with our internal ERP system, cutting manual data entry by 30%.

Strategic Impact & Influence

Your work directly informs board-level discussions on sustainability strategy, investment decisions, and our public narrative. You're not just reporting numbers; you're helping shape the company's future.

Presenting analysis on our Scope 3 emissions hotspots that directly influences a £5M investment in supply chain decarbonisation initiatives.

Team Leadership & Development

You'll get a real kick out of coaching your analysts, helping them grow their technical skills, and seeing them take ownership of complex projects. Their success is your success.

Mentoring a Senior Analyst to confidently lead the entire GRI reporting cycle for the first time, resulting in a high-quality submission.

What frustrates people
  • Managing the constant tension between perfect data and impossible deadlines, especially during 'Proxy Season Scramble'.
  • Dealing with the 'Death by a Thousand Frameworks' problem, and having to translate data across slightly different requirements for GRI, SASB, TCFD, CDP, and various rating agencies.
  • The internal data battle: convincing other department heads that providing ESG data isn't just an 'admin task' but a strategic imperative.
  • Navigating the 'Pressure to Greenwash' – ensuring integrity when marketing or investor relations want to spin the numbers a certain way.
  • The sheer volume of data validation required, even with a team, to ensure 'Assurance-Ready Data' for external audits.
What this role does not give you
  • A purely technical, heads-down analytical role without people management or strategic influence.
  • A static environment where reporting requirements rarely change; expect constant evolution.
  • The luxury of always having perfectly clean, readily available data; you'll still be solving data archaeology problems, just at a higher level.
  • Complete autonomy over budget or strategy without needing to build consensus with senior leadership.

8Who you work with

This role directly impacts our company's public image, investor relations, regulatory compliance, and ultimately, our ability to secure capital and attract talent. You're responsible for the integrity of our ESG narrative, which is becoming as critical as our financial reporting.

Inside the business
  • Director of ESG & Sustainability Data
  • Chief Financial Officer (CFO)
  • Chief Sustainability Officer (CSO)
  • Investor Relations Team
  • Legal & Compliance
  • Operational Heads (e.g., Head of Manufacturing, Head of Supply Chain)
Outside the business
  • External Auditors (e.g., Big Four firms for assurance)
  • ESG Rating Agencies (e.g., MSCI, Sustainalytics, ISS)
  • Institutional Investors
  • Regulatory Bodies (e.g., FCA, EU Commission for CSRD)
  • ESG Data Platform Vendors

9What you need before you start

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

  • A minimum of 12 years of progressive experience in ESG data management, sustainability reporting, or a related analytical field, with at least 3-5 years in a leadership or managerial role.
  • Demonstrable experience leading an end-to-end ESG reporting cycle for a complex organisation, including engagement with external assurance providers.
  • Proven track record of building and managing high-performing analytical teams, including coaching, mentoring, and performance management.
  • Significant experience with at least two major ESG reporting frameworks (e.g., GRI, SASB, TCFD, CSRD) and practical application of carbon accounting principles (GHG Protocol).
  • Advanced proficiency in data analysis tools (e.g., Python, SQL, Excel) and experience with enterprise-level ESG data platforms and visualisation tools (e.g., Workiva, Power BI).

10What to practise next

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

Advanced Predictive Modelling for ESG Risk

Moving beyond historical reporting, investors and regulators are increasingly demanding forward-looking insights. You'll need to oversee the development of models that predict future ESG risks (e.g., climate change impacts, supply chain disruptions, social unrest) and opportunities, allowing the business to act proactively.

Time Series Analysis for Environmental Data · Machine Learning for Risk Scoring · Scenario Planning & Stress Testing · Unstructured Data Analysis

  • This quarter: Identify one key ESG risk area (e.g., water scarcity in a specific region) and research existing predictive models or data sources.
  • Next 6 months: Commission or lead a small internal project to build a simple predictive model for an operational ESG metric, even if it's just a proof-of-concept.
  • Next year: Work with data science teams (if available) or external consultants to explore more sophisticated predictive models for a critical ESG risk or opportunity.
  • Ongoing: Integrate predictive insights into your regular reporting to leadership, showing not just what happened, but what might happen next.

Quick win: Start by identifying existing internal data that could be used for simple forecasting. Even basic trend analysis is a step towards prediction.

11Staying current once you are in

What people here do to keep up
  • Regularly attend industry conferences (e.g., GreenBiz, Responsible Business Summit) to stay current on emerging trends, regulations, and best practices in ESG data and reporting.
  • Actively participate in professional networks and forums focused on sustainability data, sharing insights and learning from peers.
  • Undertake continuous learning in advanced data analytics, AI applications in sustainability, and new regulatory frameworks through online courses or workshops.
  • Seek out opportunities to present your team's work and insights internally to senior leadership and externally at industry events, building your profile as a thought leader.

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.

AI Ethics & Governance in ESG Data

As we increasingly use AI for data extraction, risk identification, and narrative generation, ensuring these tools are used ethically, transparently, and without bias is paramount. Regulators and investors will demand it, and our reputation depends on it.

  • Bias Detection & Mitigation
  • Transparency & Explainability (XAI)
  • Data Privacy & Security
  • AI Policy Development

Blockchain for Supply Chain Traceability & ESG Verification

The demand for verifiable, immutable data on supply chain ESG performance (e.g., ethical sourcing, carbon footprint of components) is growing. Blockchain offers a way to provide this transparency, moving beyond self-reported data to auditable, distributed ledgers. This is particularly relevant for Scope 3 emissions and human rights due diligence.

  • Distributed Ledger Technology (DLT)
  • Smart Contracts for ESG
  • Tokenisation of ESG Assets
  • Interoperability Challenges

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • ESG Reporting Frameworks (Strategic Application)
  • Materiality Assessment (Leading the Process)
  • Carbon Accounting (Complex Scope 3 Oversight)
  • ESG Data Assurance & Controls
  • ESG Rating Agency Analysis & Strategy
  • Life Cycle Assessment (LCA) Principles

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

    Senior ESG Data Analyst (Internal Promotion)

    3-5 years as a Senior Analyst

    Skills to master

    • Mastering end-to-end project leadership for major reports, effectively mentoring junior team members, and demonstrating strong stakeholder engagement skills beyond just data requests.

    You're ready to move on when

    • Consistently delivering high-quality, complex ESG reports independently.
    • Successfully leading cross-functional data collection initiatives without constant oversight.
    • Proactively identifying and proposing solutions to data quality or process issues.
    • Receiving positive feedback from mentees and peers on your coaching and support.
  2. 2

    ESG Consultant (from Advisory Firms)

    5-8 years in ESG consulting

    Skills to master

    • Translating client needs into actionable data strategies, managing multiple projects simultaneously, and developing strong client relationship management skills. You'll need to adapt to an in-house, operational role.

    You're ready to move on when

    • Proven experience advising multiple clients on ESG data strategy and reporting frameworks.
    • Strong project management skills, delivering complex ESG data projects on time and budget.
    • Ability to quickly understand new business contexts and adapt analytical approaches.
    • A desire to move from advisory to hands-on leadership of an internal function.
  3. 3

    Data Manager from a Related Domain (e.g., Finance, Risk, Operations)

    8-10 years in data management, with some exposure to ESG

    Skills to master

    • Rapidly acquiring deep knowledge of ESG reporting frameworks and specific ESG data types (e.g., GHG Protocol). Adapting established data governance practices to the unique challenges of non-financial data.

    You're ready to move on when

    • Demonstrable experience managing a data function and leading data quality initiatives in a complex regulatory environment.
    • Strong technical skills in data architecture, SQL, and data visualisation.
    • A clear passion for sustainability and a proactive approach to learning the intricacies of ESG data.
    • Proven ability to build and lead high-performing data teams.

15Where this role leads

The long view: This work can lead to a Chief Sustainability Officer role, or Head of ESG Strategy & Integration, overseeing sustainability data and reporting at a wider level.

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 Data & Reporting Manager is actually changing.

Where it leads

Roles this leads to

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

  • Head of Sustainability Reporting & Disclosure

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 Introduction to Data Science and Big Data, worked against ESG Data & Reporting Manager.

Introduction to Data Science and Big Data Level 5

Applied to your work in ESG Data & Reporting Manager

The objective of this unit is to provide learners with a systematic understanding of Data Science and Big Data concepts, including their characteristics and applications. Learners will develop proficiency in data collection, design, and modelling techniques, and will be able to select appropriate tools for data pre-processing and apply analytical techniques to generate insights from data.

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 Data & Reporting Manager
  • ESG Reporting Frameworks (Strategic Application)
  • Materiality Assessment (Leading the Process)
  • Carbon Accounting (Complex Scope 3 Oversight)
  • ESG Data Assurance & Controls
  • ESG Rating Agency Analysis & Strategy
  • Life Cycle Assessment (LCA) Principles
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 Data & Reporting Manager is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Director of ESG & Sustainability Data

    3-5 years in this Manager role

    Level 6 (Director/VP)

    • Designing and implementing multi-year ESG data roadmaps aligned with corporate strategy.
    • Overseeing the integration of ESG data across all business units and functions.
    • Managing relationships with C-suite executives, investors, and external regulators at a strategic level.
    • Driving innovation in ESG data analytics and reporting at an organisational scale.

  2. Head of Sustainability Reporting & Disclosure

    3-5 years in this Manager role

    Level 6 (Director/VP)

    • Owning the entire public sustainability narrative and external communications strategy.
    • Managing complex, multi-jurisdictional regulatory reporting requirements.
    • Leading the company's response to ESG rating agencies and investor queries at a senior level.
    • Developing innovative ways to communicate complex ESG performance to diverse audiences.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, the ESG data world is drowning in manual tasks and endless documents. But what if you could cut out a huge chunk of that grunt work, freeing up your team to focus on strategic insights and problem-solving? That's where AI comes in.

We're building an AI Productivity Hub specifically for our Sustainability_Corporate_Social team. This isn't some far-off future tech; it's about practical tools you and your team can use today to automate the tedious, repetitive parts of ESG data collection, analysis, and reporting. Think of it as having a super-efficient assistant for every analyst, allowing you to manage more strategically.

Automated Data Extraction & Validation

Imagine your team no longer manually sifting through hundreds of utility bills, supplier invoices, or operational reports. AI-powered document intelligence tools can automatically pull out specific ESG data points (like energy consumption, water usage, waste volumes) from unstructured PDFs and images, then flag inconsistencies for review. You'll oversee the setup and validation, not the endless data entry.

Emerging Risk & Opportunity Identification

Instead of manually scanning news feeds and regulatory updates, AI monitoring platforms can perform sentiment analysis on vast amounts of external data – news, social media, competitor reports. This flags emerging ESG risks (e.g., new supply chain issues, shifts in investor expectations) or opportunities before they become critical, allowing you to proactively adapt your data strategy.

Regulatory Compliance & Summarisation

New regulations like CSRD are massive. Large Language Models (LLMs) can ingest dense, 500-page regulatory documents and summarise them into concise, actionable briefs for your team, highlighting key data requirements, changes, and deadlines. You'll review the summaries, saving days of manual legal analysis for your team.

First-Draft Narrative Generation & Localisation

Once your team has the validated data, AI can generate first drafts of narrative sections for your annual sustainability report. Feed it structured data (e.g., GHG emissions tables) and a prompt, and it'll produce a coherent, contextualised text. This also extends to localising reports for different regions, ensuring consistency and cultural relevance, saving countless hours in drafting and translation.

Common questions

Common questions

How do you become an ESG Data & Reporting Manager?

Common routes in include Senior ESG Data Analyst (Internal Promotion) (3-5 years as a Senior Analyst), ESG Consultant (from Advisory Firms) (5-8 years in ESG consulting) and Data Manager from a Related Domain (e.g., Finance, Risk, Operations) (8-10 years in data management, with some exposure to ESG). Times vary with prior experience.

Where can an ESG Data & Reporting Manager progress to?

This role can lead on to Director of ESG & Sustainability Data (3-5 years in this Manager role) and Head of Sustainability Reporting & Disclosure (3-5 years in this Manager role), depending on the skills you build.

What new skills matter most for an ESG Data & Reporting Manager?

Increasingly, AI Ethics & Governance in ESG Data and Blockchain for Supply Chain Traceability & ESG Verification. These are the skills our record of this role lists as growing.

Free tools

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Three free tools, no account needed. Each one ends with a role, a level and a way in.

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17Where to go from here

Other roles at Level 5

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

Skills in data management, reporting and regulatory frameworks apply across industries. Financial services, manufacturing and tech all need people who can manage ESG data. Getting and making sense of non-financial data is a common challenge across sectors.

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 Data 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.