UK

United Kingdom · Sustainability · Director/VP (16-20 years)

Director of Sustainability Analytics & Reporting

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  • Experience bandDirector/VP (16-20 years)
  • Reports toChief Sustainability Officer (CSO)
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as Head of Climate Data Strategy · VP, ESG Data & Insights · Director of Climate Risk 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

OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 3 of 3 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 2 of 3 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 2 of 3 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 3 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 1 of 3 standards

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

The units you would start with

Data Science Foundations OTHM Level 7 Diploma in Data Science
Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science
Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England
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)

The future skills this job leans on

Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Sustainability Fluency building care for people and planet into the work
Your Plan Illustration

Built for Director of Sustainability Analytics & Reporting

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

  1. Data Science Foundations OTHM Qualifications · covers 3 of 3 standards Level 7
  2. Introduction to Data Science and Big Data NCC Education Limited · covers 2 of 3 standards Level 5
  3. Data Analytics Pearson Education Ltd · covers 2 of 3 standards Level 5
  4. Data-led Decision Making Institute of Sales Professionals · covers 1 of 3 standards Level 6
  5. Apply the Concepts of Data Science to Computer Engineering NOCN · covers 1 of 3 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 a Director of Sustainability Analytics & Reporting?

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

The new skill this role is being asked for

  • Advanced Climate-Finance Integration
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 Director of Sustainability Analytics & Reporting plan as you set up, starting with the free Growth Mindset 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

This role involves owning the full data-to-disclosure process for climate and ESG reporting. It means setting the approach for collecting, analysing and reporting environmental impact data, making sure it holds up for the board and for investors.

4What you'd actually use

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

Python (pandas, NumPy, GeoPandas, scikit-learn, Plotly) Strategic

Architecting the Python environment and library standards for the team. Evaluating and integrating new ML/AI frameworks for advanced climate risk modelling. Making build-vs-buy decisions for custom analytical tools.

GIS Software (QGIS, ArcGIS Pro, Google Earth Engine) Strategic

Determining the enterprise GIS strategy for climate risk mapping and spatial analysis. Overseeing the integration of GIS data with other business systems (e.g., ERP, asset management) to provide a unified view of climate risk across the organisation. Guiding the team on advanced spatial modelling techniques.

SQL (PostgreSQL, SQL Server, Snowflake, BigQuery) Strategic

Architecting the data warehousing strategy for all ESG data. Making strategic decisions on cloud-native data platforms like Snowflake or BigQuery for scalability, performance, and cost-effectiveness. Ensuring data architecture supports complex reporting and analytics needs.

BI & Visualization (Tableau Server/Power BI Premium) Strategic

Governing the enterprise BI platform, defining data visualisation standards, and ensuring executive dashboards provide actionable insights for strategic decision-making at Board and C-suite level. Overseeing the development of critical climate performance dashboards.

ESG Platforms (Workiva, Sphera, Enablon, Watershed, ServiceNow GRC, OneTrust) Strategic

Leading the selection, negotiation, and implementation of enterprise-wide ESG platforms. Ensuring the platform aligns with long-term GRC and reporting strategy, and integrates seamlessly with other core business systems. Responsible for vendor management and platform roadmap.

Cloud Platforms (AWS, Azure, GCP) Strategic

Designing the overall cloud architecture for climate data storage, processing, and analytics. Making strategic build-vs-buy decisions on data processing frameworks (e.g., Databricks) and ensuring security, scalability, cost-effectiveness, and compliance for all cloud-based climate data solutions.

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
Strategic Direction of Climate Data Supports by executing tasks, no decision authority. Proposes improvements to specific data collection processes. Designs and leads workstreams, recommends methodologies to Director.
Departmental Budget Allocation No budget authority. Requests budget for specific tools or training, requires manager approval. Manages project budgets up to £5K, consults Director on larger expenditures.
Hiring & Team Structure No hiring authority. Provides input on candidate profiles for junior roles. Interviews candidates for junior roles, provides hiring recommendations.
External Audit & Regulatory Engagement Prepares data for audit under supervision. Responds to auditor queries on specific data points. Manages sections of the audit process, drafts responses to auditor findings.

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
Our company's performance in key sustainability indices and ratings (e.g., MSCI, Sustainalytics, CDP).
Target · Increase average ESG rating by 5% year-on-year, or achieve top quartile ranking in relevant sector indices.

Moving from an MSCI 'BBB' to an 'A' rating within 18 months, or being included in the FTSE4Good Index where we weren't before.

GHG Data Assurance Success Rate
The successful achievement of 'limited assurance' (or higher) from external auditors on our annual GHG inventory.
Target · 100% success rate for achieving 'limited assurance' on Scope 1, 2, and material Scope 3 emissions annually.

Receiving an unqualified 'limited assurance' opinion from Deloitte on our 2024 GHG inventory, with zero material findings.

Climate-Related Investment De-risking
The direct impact of climate risk analysis on significant capital investment or M&A decisions.
Target · Climate risk insights influence 2-3 major capital allocation decisions (over £50M each) annually, leading to quantifiable risk reduction.

Our climate risk assessment led to re-prioritising a £75M factory expansion from a high-flood-risk area to a lower-risk site, saving an estimated £10M in future climate adaptation costs.

Regulatory Compliance & Fines Avoidance
Our adherence to evolving climate disclosure regulations (e.g., CSRD, SEC climate rules) and avoidance of non-compliance penalties.
Target · Zero material non-compliance findings or fines related to climate and ESG disclosures.

Successfully submitting our first CSRD-compliant report ahead of the deadline, with no enforcement actions from EFRAG or national regulators.

Board & Executive Confidence in Data
The level of trust and reliance the Board and C-suite place on the climate and ESG data you present for strategic decision-making.
  • You'll know you're doing well when the CEO quotes your climate risk figures in investor calls without hesitation, or when the Board's Audit Committee specifically commends the robustness of your data governance. They'll proactively ask for your team's input on major strategic initiatives, not just for reporting purposes. It's about being seen as a trusted advisor, not just a data provider.
Integration into Enterprise Risk Management
How well climate-related risks and opportunities are integrated into the company's broader enterprise risk management (ERM) framework.
  • Your team's climate risk scenarios are a core input to the annual ERM review. Climate-related risks appear on the top 10 enterprise risk register, with clear mitigation strategies informed by your data. You're regularly invited to ERM steering committee meetings, and your insights are shaping the company's overall risk appetite and resilience planning.
Team Leadership & Development
Your ability to build, mentor, and retain a high-performing team of climate data professionals.
  • Your direct reports are consistently promoted, and your team has a strong reputation for technical excellence and strategic impact. You'll see high engagement scores in team surveys, and other departments will be keen to 'borrow' your analysts for their projects. Ultimately, it's about creating a pipeline of future leaders in sustainability data.

7Would you like it

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

What people enjoy
Shaping Enterprise Strategy

You'll be regularly presenting to the C-suite and Board, and your insights will directly inform major investment decisions, risk mitigation strategies, and our company's public stance on climate change. Seeing your work influence the highest levels of the business is a big part of the job.

Your team's climate scenario analysis directly leads to a £100M divestment from a high-carbon asset, reshaping the company's portfolio for the future.

Building a High-Performing Team & Capability

A significant part of your role involves recruiting, mentoring, and developing a team of top-tier climate data professionals. You'll get to define the team's vision, culture, and technical roadmap, watching them grow and deliver impactful work.

You successfully recruit three senior managers who go on to lead critical reporting streams, and two of your existing managers are promoted within 18 months.

Navigating Complex & Evolving Challenges

There's no 'easy button' here. You'll be constantly grappling with novel problems, ambiguous regulations, and evolving data science techniques. If you thrive on intellectual challenge and enjoy figuring out how to solve problems that no one has solved before, you'll love it.

Leading the company's first 'double materiality' assessment for CSRD, which involves developing entirely new methodologies and engaging dozens of internal and external stakeholders.

What frustrates people
  • The sheer pace of regulatory change means you'll sometimes build a robust reporting process only for it to be partially obsolete six months later.
  • Getting buy-in from other departments for data collection can be like pulling teeth, even with C-suite backing. People have their own priorities.
  • The constant tension between the need for perfect, auditable data and the business's demand for 'quick answers' or simplified narratives.
  • Managing a large team means dealing with people challenges, not just data challenges—it's part of the job, but it can be draining.
  • The public scrutiny that comes with climate reporting means every number is under a microscope, and any error can quickly become a headline.
What this role does not give you
  • A purely technical, hands-on coding role; you'll be more of an architect and leader.
  • A quiet, predictable environment; expect urgent requests, shifting priorities, and high-stakes presentations.
  • A role where you can avoid internal politics; influencing stakeholders is a huge part of the job.
  • The ability to make every decision unilaterally; you'll need to build consensus and get buy-in from very senior people.

8Who you work with

This role directly impacts our company's reputation, regulatory compliance, access to capital, and long-term strategic resilience. Your work will inform multi-million pound investment decisions, influence our share price through ESG ratings, and ultimately determine our ability to navigate the climate transition successfully. Frankly, it's a make-or-break position for our sustainability ambitions.

Inside the business
  • The CEO and Board members (especially the Audit and Risk Committees)
  • Heads of Business Units (e.g., Operations, Supply Chain, Real Estate)
  • Finance Leadership (CFO, Head of Investor Relations)
  • Legal & Compliance
  • Enterprise Risk Management
Outside the business
  • External Auditors (Big Four firms)
  • ESG Rating Agencies (e.g., MSCI, Sustainalytics)
  • Investors and Shareholder Activists
  • Regulators (e.g., SEC, FCA, EFRAG)
  • Industry Bodies and Standard Setters

9What you need before you start

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

  • A minimum of 16 years' experience in data analytics, sustainability reporting, or climate risk management, with at least 8 years in a senior leadership role managing large teams.
  • Proven track record of successfully designing and implementing enterprise-wide data strategies, preferably in the sustainability or financial risk domain.
  • Extensive experience presenting complex data and strategic recommendations to Board-level executives, C-suite, and external investors.
  • Demonstrable experience leading and successfully completing external audits for non-financial data, ideally GHG or ESG data assurance.
  • Deep understanding of the global climate policy landscape, key sustainability reporting frameworks (e.g., CSRD, TCFD, ISSB), and their practical application in a corporate setting.
  • Experience managing significant budgets (multi-million pound) and making strategic technology investment decisions.

10What to practise next

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

Generative AI for Strategic Insights & Automation

Generative AI is moving beyond basic content creation. For Directors, it's about leveraging LLMs to synthesise vast, complex datasets into actionable strategic insights, automate high-level reporting, and even simulate stakeholder responses. Those who master this will gain unprecedented strategic agility.

Advanced Prompt Engineering for Strategic Analysis · LLM Integration with Enterprise Data Lakes · AI-Powered Scenario Planning & War-Gaming · Ethical AI & Bias in Climate Data · Automated Policy & Standard Translation

  • This week: Experiment with advanced LLMs (e.g., GPT-4, Claude 3) for summarising complex industry reports or drafting strategic memos.
  • This month: Work with your Lead Analyst to identify one high-value, repetitive strategic reporting task that could be significantly automated with generative AI.
  • Next 3 months: Oversee a proof-of-concept project integrating an LLM with a subset of our internal climate data for automated insight generation.
  • Next 6 months: Develop an internal policy and best practices guide for the ethical and effective use of generative AI within your team.

Quick win: Use AI tools to draft your initial thoughts for board presentations or investor Q&A responses. It's a great way to get a head start and refine your messaging.

11Staying current once you are in

What people here do to keep up
  • Regularly engage with industry thought leaders and participate in expert panels on climate data, sustainable finance, and ESG reporting.
  • Maintain an active network with peers in other large organisations to share best practices and stay informed on emerging challenges.
  • Contribute to relevant industry working groups or standard-setting bodies to influence the future of climate disclosure.
  • Pursue executive education programmes focused on strategic leadership, organisational change, or advanced analytics for decision-makers.
  • Mentor junior professionals within the sustainability data field, both internally and externally, to foster talent and give back to the community.

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.

Advanced Climate-Finance Integration

Regulators and investors are increasingly demanding that climate risks and opportunities be fully embedded into financial statements, capital allocation decisions, and M&A due diligence. It's no longer enough to report climate data separately; it needs to be part of the core financial fabric of the business.

  • Integrated Reporting (e.g., <IR> Framework)
  • Climate-Adjusted Discount Rates
  • Green Taxonomy Alignment
  • Climate Stress Testing
  • Double Materiality in Financial Planning

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • GHG Accounting & Carbon Footprinting (Strategic Oversight)
  • Climate Risk Modeling (Enterprise-Level Application)
  • Sustainability Reporting Frameworks (Strategic Implementation)
  • Data Assurance & Governance (Policy & Implementation)
  • Statistical Downscaling & Climate Science Interpretation (Guidance)

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

    From Lead Climate Data Analyst / Staff Climate Scientist

    3-5 years at the Lead/Staff level

    Skills to master

    • Moving from being the 'go-to technical expert' to defining the strategic roadmap for an entire function. This means developing strong leadership, organisational design, and executive communication skills.

    You're ready to move on when

    • Successfully led multiple complex, cross-functional climate data programmes end-to-end.
    • Consistently mentored and developed junior team members, with clear evidence of their progression.
    • Regularly presented technical insights and recommendations to senior management, influencing key decisions.
    • Demonstrated ability to anticipate future data needs and proactively propose solutions, not just react to requests.
  2. 2

    From Climate Data & Analytics Manager / Principal Climate Scientist

    2-4 years at the Manager/Principal level

    Skills to master

    • Scaling your leadership from managing a team to managing a department, including other managers. This involves mastering organisational politics, strategic resource allocation, and external stakeholder engagement (auditors, regulators).

    You're ready to move on when

    • Successfully managed a significant team (10+ people) and delivered on all key performance metrics.
    • Owned and improved the quality and assurance of a major climate data disclosure stream (e.g., Scope 3 or TCFD).
    • Played a key role in selecting and implementing new ESG platforms or data tools.
    • Consistently provided strategic input that influenced departmental or cross-functional initiatives.
  3. 3

    From Head of ESG Reporting (from another large organisation)

    Direct entry, assuming comparable scope and scale

    Skills to master

    • Adapting to our specific organisational culture, data infrastructure, and strategic priorities. Quickly building credibility with our C-suite and Board.

    You're ready to move on when

    • Proven experience leading the entire ESG reporting function for a publicly listed company of similar size and complexity.
    • Track record of successful external audit engagements and positive engagement with ESG rating agencies.
    • Demonstrated ability to navigate complex regulatory environments and implement new reporting standards.
    • Strong leadership and team management experience in a fast-evolving data landscape.

15Where this role leads

The long view: This role can lead to setting sustainability strategy as a Chief Sustainability Officer, or applying climate risk expertise more broadly as a Chief Risk 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 Director of Sustainability Analytics & Reporting is actually changing.

Where it leads

Roles this leads to

The record names a next step, but the catalogue has no page for it yet:

  • Chief Sustainability Officer (CSO) / VP, ESG & Climate Strategy
  • Head of Enterprise Risk Management (ERM)

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 Data Science Foundations, worked against Director of Sustainability Analytics & Reporting.

Data Science Foundations Level 7

Applied to your work in Director of Sustainability Analytics & Reporting

1. To enable the learner to define the scope and landscape of Data Science and differentiate the roles of Data Scientists from other IT professionals. 2. To enable the learner to evaluate key topics within Data Science, including data administration, governance, and big data sources. 3. To enable the learner to describe the architecture and core elements of Apache Hadoop. 4. To enable the learner to analyse the advantages and disadvantages of utilising Artificial Intelligence techniques in a business context. 5. To enable the learner to critically analyse the impact of Big Data on digital transformation within organisations and its effects on users. 6. To enable the learner to review strategies for ensuring data compliance and explain the responsibilities and challenges faced by data specialists.

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
Director of Sustainability Analytics & Reporting
  • GHG Accounting & Carbon Footprinting (Strategic Oversight)
  • Climate Risk Modeling (Enterprise-Level Application)
  • Sustainability Reporting Frameworks (Strategic Implementation)
  • Data Assurance & Governance (Policy & Implementation)
  • Statistical Downscaling & Climate Science Interpretation (Guidance)
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

Director of Sustainability Analytics & Reporting is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Chief Sustainability Officer (CSO) / VP, ESG & Climate Strategy

    3-5 years in the Director role

    From Level 6 to Level 7

    • M&A and Portfolio Strategy Integrating sustainability considerations into major corporate transactions and long-term portfolio planning.
    • Regulatory Foresight Anticipating and influencing future policy developments at a national and international level.
    • Culture Transformation Driving a company-wide shift towards a more sustainable and responsible business model.

  2. Head of Enterprise Risk Management (ERM)

    4-6 years in the Director role

    Lateral move, potentially to Level 7 depending on scope

    • Quantitative Risk Modelling Developing and applying advanced quantitative models for a broader spectrum of enterprise risks.
    • Insurance & Hedging Strategies Informing corporate insurance and hedging strategies based on comprehensive risk assessments.
    • Crisis Preparedness & Response Leading the development of enterprise-wide crisis management plans.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, as a Director, your time is precious. You're not meant to be bogged down in manual data wrangling or chasing every regulatory update. That's where AI comes in. We're building an AI Productivity Hub specifically designed to free up leaders like you, so you can focus on strategy, influence, and driving real change.

Imagine having an intelligent co-pilot that handles the grunt work, sifts through mountains of information, and even drafts complex reports. Our AI tools aren't here to replace your strategic thinking; they're here to amplify it, giving you back precious hours every week to focus on what truly matters: leading your team and shaping the company's future.

Regulatory & Standard Monitoring

Deploy an AI agent to continuously scan global regulatory bodies (e.g., SEC, EFRAG), standard setters (e.g., GRI, IFRS), and news sources for updates related to climate disclosure. It provides weekly summarised briefings on what's changed and the potential impact on our reporting strategy. No more sifting through hundreds of pages of legal text yourself; the AI gives you the executive summary.

Climate Scenario Acceleration

Use advanced Machine Learning models to run thousands of Monte Carlo simulations, stress-testing our company's asset portfolio against a range of climate scenarios (e.g., RCP 4.5, 8.5). This generates probabilistic financial impact forecasts, giving you robust, data-driven insights for board-level risk discussions, rather than relying on single-point estimates. It's about getting answers in days, not weeks.

Disclosure Narrative Drafting

Feed a fine-tuned Large Language Model (LLM) with our company's historical sustainability reports and current year's validated data. It can then generate first drafts of the methodology, data sources, and key findings sections for the annual TCFD or CSRD report. This frees up your managers and senior analysts to focus on verification and strategic messaging, not just writing from scratch.

AI-Powered Risk Identification

Use AI to analyse vast amounts of unstructured data—news articles, supplier reports, social media, scientific papers—to identify emerging climate risks specific to our operations, supply chain, and market. This goes beyond traditional risk registers, giving you an early warning system for 'black swan' events or overlooked vulnerabilities. It's like having a dedicated research team working 24/7.

Common questions

Common questions

How do you become a Director of Sustainability Analytics & Reporting?

Common routes in include From Lead Climate Data Analyst / Staff Climate Scientist (3-5 years at the Lead/Staff level), From Climate Data & Analytics Manager / Principal Climate Scientist (2-4 years at the Manager/Principal level) and From Head of ESG Reporting (from another large organisation) (Direct entry, assuming comparable scope and scale). Times vary with prior experience.

Where can a Director of Sustainability Analytics & Reporting progress to?

This role can lead on to Chief Sustainability Officer (CSO) / VP, ESG & Climate Strategy (3-5 years in the Director role) and Head of Enterprise Risk Management (ERM) (4-6 years in the Director role), depending on the skills you build.

What new skills matter most for a Director of Sustainability Analytics & Reporting?

Increasingly, Advanced Climate-Finance Integration. 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 7

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 strategic data leadership, climate risk management and regulatory compliance apply beyond one sector. They can lead into sustainable finance, ESG-focused consulting, or policy work in government or non-profit organisations.

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 Growth Mindset 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.