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Hours: 37.5 per week, Monday to Friday Location: Hybrid working with up to 3 days per week at our VHQ, Crawley, West Sussex Contract: Permanent Closing date: 19th January&nbsp;<h2>In a nutshell</h2>&nbsp;Are you ready to lead the charge in shaping how Data &amp; AI are governed at Virgin Atlantic?As the Manager – Data &amp; AI Governance, you'll sit at the heart of our data ecosystem, responsible for developing, operationalising, and continuously evolving our enterprise-wide Data &amp; AI Governance Framework.You’ll spearhead the creation and evolution of our Enterprise Knowledge Graph, shape and govern data access personas and policies, and drive Responsible &amp; Ethical AI standards, while embedding a strong governance culture across the organisation.We’re specifically seeking a candidate with hands-on experience activating Data &amp; AI Governance from concept to reality, creating the first fully working version of our Data &amp; AI governance framework, ideally in Travel, Retail or Hospitality sectors, with practical experience implementing Ethical AI practices. Experience with Databricks and Microsoft stack is advantageous.&nbsp;<h2>Day to day</h2>&nbsp;<ul><li>Design, implement and evolve the Data &amp; AI Governance Framework.</li><li>Develop and maintain the Enterprise Knowledge Graph</li><li>Collaborate with teams from various departments to define data governance requirements and standards.</li><li>Establish and govern data access personas and policies.</li><li>Roll out Responsible &amp; Ethical AI standards and controls.</li><li>Drive governance culture via training, workshops and communities of practice.</li><li>Maintain metadata, catalogue, lineage and quality management practices.</li><li>Partner with DPO, InfoSec, Engineering and Platform teams.</li><li>Resolve data quality issues and support data stewardship.</li><li>Provide governance expertise across working groups and forums.</li></ul>&nbsp;<h2>About you</h2>&nbsp;Essential:<ul><li>Experience in both Data Governance and AI Governance, with the ability to apply these disciplines in complex, multi-stakeholder environments.</li><li>Hands-on experience scaling Data and AI governance frameworks from concept to operational reality as an individual contributor within large organisations.</li><li>Practical industry experience in Travel, Retail or Hospitality, or similarly fast-paced, customer-centric sectors.</li><li>Experience implementing Responsible and Ethical AI standards, including designing and operationalising controls that support safe and compliant AI use.</li><li>Strong understanding of metadata, lineage, data lifecycle management, data quality, and governance policy design.</li><li>Knowledge of GDPR, the EU AI Act, and emerging AI governance and regulatory frameworks, with the ability to interpret and translate these requirements into practical governance processes.</li><li>Working knowledge of AI ethics, AI regulatory alignment, AI risk frameworks, AI lifecycle governance, monitoring of AI models and GenAI adoption considerations.</li><li>Ability to influence confidently at VP level and above, and to build effective partnerships with engineering, security, DPO and business stakeholders to drive adoption and compliance.</li></ul>Advantageous:<ul><li>Experience with Databricks, Unity Catalog, Purview or the broader Microsoft data ecosystem.</li><li>Background in Responsible AI policy creation and implementation, including model monitoring and assurance practices.</li></ul>&nbsp;<h2>Be yourself – Our differences make us stronger</h2>&nbsp;Our customers come from all walks of life and so do our colleagues. That’s why we’re proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong.To make your journey with us accessible and individual to you, we encourage you to let us know if you’d like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, (<a href="mailto:recruitment@fly.virgin.com" target="_blank">recruitment@fly.virgin.com</a>) feeling confident that we’ve got your individual considerations covered.

Manor Royal Business District

Manager - AI and Data Governance: Virgin Atlantic

Location: VHQ, Crawley, 3 days on site in line with our hybrid working model Contract Type: Permanent Hours: 37.5 per week, Monday to Friday Closing Date: 15th January 2026 Department: Data &amp; AI Reports to: Manager of Data Science and Operational Research&nbsp;<h2>In a nutshell</h2>&nbsp;Are you a data scientist who turns models into measurable business impact? At Virgin Atlantic, we’re looking for a Senior Data Scientist to design, build, and productionise machine-learning solutions that shape how we fly, plan, and delight our customers.You’ll own the full project lifecycle, from defining the business problem and exploring the data to deploying, monitoring, and continuously improving models in production. Your work will directly influence operations, scheduling, and customer experiences, powering decisions that keep Virgin Atlantic ahead of the curve.As an important member of our team you’ll also help define our data-science best practices, and champion a culture that values experimentation, collaboration, and delivery excellence.&nbsp;<h2>Day to day</h2>&nbsp;<ul><li>Lead end-to-end ML and optimisation projects, from concept through deployment and post-launch performance analysis.</li><li>Build, test, and refine predictive and prescriptive models that deliver tangible business outcomes.</li><li>Collaborate with data engineers and ML engineers to design robust pipelines integrated with CI/CD workflows, ensuring models are reproducible, version-controlled, and continuously deployed with confidence.</li><li>Implement monitoring and retraining frameworks to maintain model performance and governance over time.</li><li>Contribute to our internal ML frameworks and tooling, streamlining how we experiment, validate, and deploy models at scale.</li><li>Partner with stakeholders across the airline to translate complex analytical results into clear, actionable recommendations.</li><li>Stay curious; keep up with developments in ML, GenAI, and responsible-AI practices, bringing new ideas to how we innovate with data.</li></ul>&nbsp;<h2>About you</h2>&nbsp;You’re an experienced, impact-driven data scientist who has seen multiple projects through the full lifecycle, from Jupyter notebook to production API. You combine deep technical expertise with commercial understanding and thrive on collaboration.You’ll bring:<ul><li>5 + years’ experience delivering applied machine-learning projects in production.</li><li>Proven record of deploying and maintaining ML models through CI/CD pipelines</li><li>Advanced proficiency in Python (pandas, scikit-learn, PySpark) and SQL.</li><li>Experience with ML lifecycle tooling such as MLflow and Databricks.</li><li>Strong understanding of testing, version control, containerisation, and monitoring.</li><li>Excellent communication skills — able to convey complex ideas clearly to technical and non-technical audiences alike.</li><li>A degree, PHD or post-doc experience in a quantitative discipline such as statistics, mathematics, computer science, or a related field.</li></ul>Nice to have:Experience applying GenAI or NLP models to real-world business problems.Be yourself – Our differences make us stronger Our customers come from all walks of life and so do our colleagues. That’s why we’re proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong.To make your journey with us accessible and individual to you, we encourage you to let us know if you’d like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, (<a href="mailto:recruitment@fly.virgin.com" target="_blank">recruitment@fly.virgin.com</a>) feeling confident that we’ve got your individual considerations covered.Additional information At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. Explore our Leadership Recipe and discover the 20 core ingredients that define what it means to lead with us, driving our mission to be the most loved travel company and achieve sustainable profit. Want to learn more? <a href="https://careers.virginatlantic.com/leadership" target="_blank">Click here</a>

Senior Analyst - Data Science

We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with an excellent service. And that's the same for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too! We're looking for a Senior Data Scientist to join a team of data scientists and specialists focused on delivering a portfolio of innovative services that uncover and create value from the company's extensive information assets. In this role, you'll work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. You'll work with large and diverse datasets from multiple sources, spanning both structured and unstructured formats. Using strong critical thinking and problem solving skills, you'll analyse and interpret data, build predictive models, and develop machine learning algorithms that generate actionable insights. You'll propose solutions to business challenges and collaborate with other teams to implement them. Recognising the dependencies Group companies have on in house technology, the Senior Data Scientist will work closely and seamlessly with the Group's in house technology provider, along with data presentation/delivery teams based across multiple locations. This is a flexible hybrid role, with occasional visits to our offices in Salford Quays (Manchester) or Haywards Heath (West Sussex) when required. For those based further afield, we also welcome applications from remote UK based workers. We offer excellent flexibility in working patterns and a company wide culture you can be proud to be part of. Core skills we're looking for to succeed in the role: Analytical &amp; Technical Expertise: Proven analytical and statistical modelling skills Technical Skills: Experience using Python Machine Learning: Ability to build and train machine learning models Professional Experience: Current Data Science experience, with Insurance industry exposure being advantageous but not essential Organisation &amp; Time Management: Strong time management and organisational abilities Education: Degree in Data Science or another quantitative field What's involved: <ul> <li>You'll scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems</li> <li>You'll perform data analysis and data collection processes that effectively support these services</li> <li>You'll continuously develop data sources through testing of external data</li> <li>You'll work individually and with team members, other teams and suppliers to deliver data science solutions. Review output of junior team members</li> <li>You'll help to identify opportunities across the organisation where data science can add value</li> <li>You'll adhere to good coding practices, work within existing risk controls, identify and report potential risks.</li> <li>You'll comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times</li> <li>You'll ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times.</li> </ul> Experience &amp; knowledge <ul> <li>Proven experience in data science and data analysis</li> <li>Good understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis</li> <li>Knowledge of data platforms, and data processing including batch and real time automation</li> <li>Knowledge of data structures and schemas, data preparation and cleansing</li> <li>Experience of machine learning techniques and libraries</li> <li>Knowledge of data science toolkits and languages, such as R, Python, Scala</li> <li>Experience of data exploration and visualisation tools</li> <li>Good knowledge of data query languages, such as SQL, HiveQL, scripting</li> <li>Knowledge of data integration services and ETL</li> <li>Analytical and problem solving aptitude</li> <li>Understanding of a service based approach to professional services.</li> <li>Experience delivering through Agile change framework</li> </ul> Skills &amp; Qualifications <ul> <li>Good communication skills, both verbal and written</li> <li>Good time management and organisation skills</li> <li>Proven analytical and statistical modelling skills</li> <li>Degree in Data Science or other quantitative field</li> </ul> Behaviours <ul> <li>Self motivated and enthusiastic with the desire to meet or exceed targets</li> <li>Determined and passionate, particularly regarding data and technology</li> <li>A decision maker with an ability to work on own initiative or as part of a team</li> <li>A flexible approach and positive attitude</li> <li>Strives to drive business improvements contributing to the success of the business</li> <li>An organised and proactive approach</li> </ul> If you've worked in Data Science, and have experience in the insurance industry or with Databricks, both a bonus but not essential - why not apply today? This is just the beginning. Imagine where you could go next. The journey is yours to shape. What can we do for you? People first. Always. We're passionate about our colleagues and know the best people deserve an extraordinary working environment. We owe it to them so that's what we offer. Our workplaces are energetic, inspirational, supportive. To get a taste of the advantages you'll enjoy, take a look at all our perks in full here. Intrigued? Our Talent team can tell you everything you need to know about what we want and what we're offering, so feel free to get in touch.

Senior Data Scientist

A global technology provider is seeking a Senior Backend Engineer to join their innovative team in London. This role involves architecting scalable backend services using Java and Kotlin, mentoring junior engineers, and leveraging AI to enhance banking solutions. The ideal candidate has 5+ years of experience in software engineering and expertise in API design and cloud deployment. This is an excellent opportunity for those who thrive in collaborative environments and are passionate about transforming the financial services industry.

Senior Backend Engineer - AI-Driven Banking Platform

Data Engineer - AzureWe are seeking a Data Engineer to join the Analytics department within the public sector in Brighton. This role focuses on designing, building, and maintaining robust data pipelines and platforms to support organisational objectives.Client DetailsData Engineer - AzureThe hiring organisation is a part of the public sector, committed to delivering high-quality services. It is a medium-sized organisation known for its structured approach and focus on analytics to drive impactful decision-making.DescriptionData Engineer - Azure<ul><li>Develop and maintain scalable data pipelines and systems to manage large datasets effectively.</li><li>Collaborate with cross-functional teams to understand data requirements and implement solutions.</li><li>Ensure data quality, integrity, and availability across various systems and platforms.</li><li>Optimise data workflows and processes for efficiency and reliability.</li><li>Integrate data from multiple sources to support analytics and reporting needs.</li><li>Provide technical expertise in data engineering best practices and tools.</li><li>Monitor and troubleshoot data systems to resolve any issues promptly.</li><li>Document processes and maintain up-to-date records of data architecture and workflows.</li></ul>ProfileData Engineer - AzureA successful Data Engineer should have:<ul><li>A strong background in data engineering or a related field.</li><li>Proficiency in designing and implementing data pipelines and architectures.</li><li>Experience with Python, Spark, C#, or relevant programming skills.</li><li>Experience with cloud platforms and data processing tools.</li><li>Knowledge of database systems, ETL processes, and data modelling techniques.</li><li>Excellent problem-solving skills and a detail-oriented approach.</li><li>The ability to work collaboratively with diverse teams and stakeholders.</li></ul>Job OfferData Engineer - Azure<ul><li>Competitive salary ranging from 55,000 to 63,000 per annum.</li><li>25 days of annual leave plus bank holidays &amp; flex days.</li><li>A very hybrid working model with flexible working patterns and flexitime.</li><li>A 35-hour working week for full-time employees.</li><li>Competitive parental leave policies.</li><li>Great Pension scheme with a high employer contribution.</li></ul>This role as a Data Engineer in Brighton offers an excellent opportunity to work in the public sector, contributing to meaningful analytics projects. If this aligns with your skills and career goals, we encourage you to apply.

Data Engineer - Azure

A health services company is seeking a Contact Centre Systems and Data Analyst based in Worthing. The successful candidate will manage and optimise our CCaaS platform and ensure operational effectiveness across multiple customer channels. This hybrid role offers a salary of £31,646 plus benefits including annual leave and development opportunities. The ideal candidate should have experience in customer contact systems, strong analytical skills, and the ability to support cross-departmental initiatives.

CCaaS Data & Contact Centre Analytics Analyst

Data Quality Manager 60-65,000 per annum + permanent benefitsFlexible working - 1-2X a week on-site (Brighton) An established organisation is in the midst of a 5-year data transformation, shifting from 'data-aware' to 'data-driven', and is looking to recruit a Data Quality Manager, to run their Data Quality program/committee. You'll have full ownership over the Data Quality program, building your own Data Quality team, implementing their DQ Framework (MS Purview) and be at the centre of delivering this transformation. What You'll Do<ul><li>Lead the development and operation of the Data Quality Committee, engaging Data Owners, Stewards, and stakeholders to drive continuous improvement.</li><li>Monitor and report on data quality performance using enterprise tooling (MS Purview), identifying issues and coordinating resolution.</li><li>Develop KPIs and metrics that provide visibility and actionable insights to Data Owners.</li><li>Collaborate across Data Governance, Architecture, BI, and Analytics teams to ensure alignment and quality in data product delivery.</li><li>Promote a culture of data quality and fluency, helping the organisation understand and value high-quality data.</li><li>Influence and inspire stakeholders at all levels, both technical and non-technical, to embed data quality into every initiative. </li></ul>What You'll Bring<ul><li>Proven experience in Data Quality Management and enterprise tooling (MS Purview).</li><li>Strong understanding of data governance frameworks, metadata management, and master data principles.</li><li>Ability to identify data issues, perform root cause analysis, and implement corrective actions.</li><li>Experience developing and maintaining Data Dictionaries, Catalogues, and Business Glossaries.</li><li>Excellent communication and stakeholder engagement skills, with the ability to influence and negotiate effectively.</li><li>Knowledge of GDPR and data privacy standards, with a risk-aware mindset.</li></ul>

Adecco

Data Quality Manager

Snowflake Data EngineerLocation: Brighton, East Sussex (Hybrid / Remote possible)Salary: 50,000 - 60,000 per annum (DOE)Job Type: Permanent, Full-time About the RoleWe are looking for a talented Snowflake Data Engineer to join our growing data team based in Brighton. You'll play a key role in enhancing our data platform, automating data workflows and enabling data-driven decision-making across the business.This role is ideal for someone who enjoys working with modern cloud data platforms, has excellent SQL skills, and is keen to build scalable data pipelines and data models. Key Responsibilities<ul><li>Design, build, and maintain scalable ETL/ELT data pipelines using Snowflake.</li><li>Administer, optimise and support the Snowflake data platform for performance and cost efficiency</li><li>Ingest, transform, and integrate data from multiple sources (e.g., GA4, internal systems). Develop and maintain data models to support analytics, reporting and business use cases.</li><li>Ensure high data quality, monitoring, testing and documentation of pipelines and models.</li><li>Collaborate with BI, analytics and engineering teams to ensure data meets business needs.</li><li>Support data governance, security, compliance and best practices in data engineering.</li></ul> Required Skills &amp; Experience<ul><li>Hands-on experience in Snowflake data warehouse development and optimisation.</li><li>Strong SQL skills for querying, transformation and performance tuning.</li><li>Experience building and managing ETL/ELT pipeline.</li><li>Proficiency with at least one scripting/programming language (e.g., Python).</li><li>Familiarity with modern data engineering tools like dbt, Airflow, Prefect, or similar is a plus.</li><li>Knowledge of cloud platforms (AWS / Azure / GCP).</li><li>Understanding of data modelling, quality controls and best practices.</li></ul> Qualifications<ul><li>Degree in Computer Science, Data Engineering, IT or a related field (or equivalent experience).</li><li>Snowflake certifications or relevant cloud/data engineering certifications are advantageous.</li></ul> About UsWe are dedicated to fostering a diverse and inclusive community. In line with our Diversity and Inclusion policy, we welcome applications from all qualified individuals, regardless of age, gender, ethnicity, sexual orientation, or disability. As a Disability Confident Employer, and part of the Nicholas Associates Group, we are committed to supporting candidates with disabilities, and we're happy to discuss flexible working options.We are committed to protecting the privacy of all our candidates and clients. If you choose to apply, your information will be processed in accordance with the Nicholas Associates Group of companies Privacy Notice.

Snowflake Data Engineer

Data Reporting Analyst - Crawley (Hybrid, 3 Days in Office) Sector: Technology / Manufacturing Contract: Permanent Hybrid (3 days in-office, 2 remote)We're recruiting for a Data Reporting Analyst to join a well-established technology manufacturing company based in Crawley. This is a hybrid role focused on delivering accurate and insightful data reporting across the business, supporting decision-making at all levels. Ideal for someone with strong SQL, Power BI, and Excel skills who enjoys working with complex data sets and engaging with stakeholders. Key Responsibilities: <ul><li>Work with internal stakeholders to gather reporting requirements and deliver tailored reports.</li><li>Manage and manipulate large, complex data sets from multiple sources.</li><li>Develop and maintain dashboards to support data quality improvements.</li><li>Support reporting and analytics delivery through corporate intranet tools.</li><li>Perform ETL (Extract, Transform, Load) processes on various data sources.</li><li>Collaborate with Applications team to ensure accurate information delivery.</li><li>Provide 1st line application/reporting support to internal users.</li></ul> Key Skills &amp; Experience: <ul><li>4+ years in data reporting or analytics.</li><li>Strong SQL skills for querying relational databases.</li><li>Proficient in Microsoft Power BI and advanced Excel.</li><li>Excellent analytical thinking and attention to detail.</li><li>Confident communicator - able to explain complex data to non-technical stakeholders.</li><li>Self-starter - comfortable working independently and proactively seeking data.</li></ul> Desirable (Not Essential): <ul><li>Experience with SAP Business One, Jira/Confluence.</li><li>Programming exposure (e.g., Python).</li><li>Experience in a commercial IT or tech manufacturing environment.</li><li>Additional languages, especially Mandarin, Italian, or Japanese.</li></ul>This is a great opportunity for someone who thrives in a data-driven role and enjoys translating complex datasets into clear business insights.ACS are recruiting for aData Reporting Analyst . If you feel that you have the skills and experience required in this advertisement to be a Data Reporting Analyst submit your CV including an outline of your experience as a Data Reporting Analyst . It is always a good idea to include a covering letter outlining your experience as a Data Reporting Analyst with your application as this will enhance your chances of selection and improve your prospects of landing the Data Reporting Analyst role you desire.

Data Reporting Analyst

Please note this is a training course and fees apply Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. <ul> <li>Microsoft excel - to expert level.</li> <li>Learn SQL - the programming language used for extracting data from more complex databases.</li> <li>Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.</li> <li>Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.</li> </ul> Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

15 Data & AI Jobs