10 Artificial Intelligence jobs

ABOUT THE TEAM Data sits at the heart of Revolut and plays a uniquely crucial role in what we do. With data we build intelligent real-time systems to personalise our product, tackle financial crime, automate reporting, track team performances and enhance customer experiences.Fundamentally, data underpins all operations at Revolut and being part of the team gives you the chance to have a major impact across the company – apply today to join our world class data department. WHAT WE NEED Our Machine Learning Engineers are responsible for developing and operationalising online and offline algorithms which integrate with Revolut’s server layer. They are skilled in software engineering, machine learning, network science and applied mathematics. They also possess a passion for building solutions and have a strong aptitude for data technologies. You will work with the Financial Crime - Transaction monitoring team. We are a full stack team of data engineers, ML engineers, data scientists, backend engineers and financial crime specialists who are solving some of the hardest anti-fraud and anti-money laundering problems in the world. Our team builds artificial intelligence (AI) driven systems that continuously learn anomalous patterns typical of fraud. In this regard, we need a machine learning engineer to join our team and build new models to detect cloning of Revolut cards, stolen cards or bank accounts being linked to a Revolut account. If you love pitting your wits against an intelligent adversary by utilizing AI, then this is your gig! WHAT YOU’LL BE DOING ✍️ You will be responsible for building new machine learning models to solve anti-fraud or anti-money laundering. Our machine learning engineers are end-to-end practitioners which implies they are responsible for coming up with an idea, prototyping the model using Jupyter notebook, implementing it in our data pipeline and measuring its impact in production.You will work alongside a team of 10+ machine learning engineers and data scientists in Financial Crime and come up with innovative new signals and embeddings. At Revolut, we are firm believers in measuring and rewarding for success and your KPIs will be dictated by how much impact your models are having to our bottom line (fraud rate) while not compromising our good users’ experience. Our data stack is Python in the backend with Exasol as our data warehouse. We are hosted on Google Cloud Platform and our team relies heavily on DataFlow, Big Query, Apache Beam, Apache Flink & Airflow for their machine learning pipelines. WHAT SKILLS YOU'LL NEED Proficient with Python and able to push code into production1+ year(s) experience in applied machine learning/network science solutions via internships or full-time rolesBachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering, Economics)Quick learner with an ambitious and results driven personalityWorking well as part of a team in a fast-paced environmentExcellent communication and organizational skills A LITTLE ABOUT US We believe that there are better ways for people to control their money. Easier, fairer ways.Revolut started in 2015 with fee-free card transactions abroad. We’ve since added current accounts, business accounts, savings, insurance, and even cryptocurrency trading.We reached 4 million customers in February 2019 and we’re adding another million every quarter.And we’re only just getting started.Come and help Revolut build the world’s first truly global bank. WHAT WE ARE LOOKING FOR From employee 1 to employee 1000, you will be slotting into a global team that shares a number of traits.You can work autonomously and take ownership. We thrive with the space and responsibility to solve problems.You operate best without lots of bureaucracy. We don’t hide behind fancy job titles or clunky processes ‘because that’s how things are done’.You approach work in a logical way. We are not afraid to make mistakes but we use data and logic to backup decisions and improve understanding.And you share our mission to improve people’s relationship with their money. THE BENEFITS Competitive salary Biannual equity bonuses All the latest tech you need Skip the commute and work from home once a week Roll with a free Revolut Metal subscription Pension plan Private health insurance Don’t panic about cooking: get free dinners with Deliveroo Start the day properly with fresh fruit and cereals Stay refreshed: get juice, tea, coffee and soft drinks on tap Rest up with 29 days’ holiday per year Please only submit an application for one posting.

Ocado is the world's largest online only grocer. Ocado Technology is responsible for the design and development of almost all the software that runs our highly automated business. The robotics research team is working on sensor-guided robotic systems to further improve the efficiency of our operation.   What does the Robotics research team do?   Our primary goal is to find the best way to deploy robots in the production of grocery orders. In order to do this, we pursue cutting edge research into state of the art algorithms, sensing technologies, and manipulation techniques.   As part of our effort to be in the vanguard of robotics research, the team is involved in two European Union funded Horizon 2020 research projects with a number of leading European Universities. Outline descriptions of these projects are as follows: -   The SoMa project is concerned with using inherently compliant robotic mechanisms in order to exploit environmental constraints to manipulate objects with a wide variety of properties in highly variable environments. The project has attracted funding of ~7Million Euros and runs for four years from May 2015. More details of the project and the list of other participants can be found at the project's website: http://soma-project.eu ( http://soma-project.eu ). Ocado is the project coordinator for the project SecondHands: the aim of the project is to develop a robot that will act as an assistant to Ocado maintenance technicians that is able to understand a technician's activity and pro-actively offer assistance in a timely manner, i.e. it will behave as a second pair of hands for the technician. The project has attracted funding of ~7Million Euros and runs for five years from May 2015. More details of the project and the list of other participants can be found at the project's website: https://secondhands.eu ( https://secondhands.eu ). In addition to these projects, the team liaises with a number of leading UK universities performing robotics and/or computer vision research and we often host student interns.   In a nutshell   We are currently looking to expand the robotics research team. Ideally, we are looking for candidates that are happy to travel internationally, as necessary, to integrate cutting edge research work from specialist research groups into working systems that provide real-world demonstrations of significant advances in the understanding of the principles of robotics and human-machine interfaces. Although the successful candidates may spend time working on the Horizon 2020 projects the posts are permanent and will persist beyond the duration of these projects.   What I need to do   In order to make the most of the high degree of autonomy that members of the team enjoy we expect you to: -   Participate effectively in investigating and implementing sensor-guided robotics solutions to a wide variety of automation problems Take an active role in the choice of technologies and techniques used in the delivery of robotics application demonstrators. Perform mathematical modelling and algorithm development to achieve real-time sensor-guided robot motions. Develop software that implements practical solutions to specific robotic applications. Documentation of theoretical developments and their software implementation. Demonstrate working systems and thoroughly test them to establish their operational limits. Attend regular meetings to report on progress and share ideas Work closely with other team members on issues relating to design and requirements. What I need to know   Candidates are expected to have: 2:1 or 1st class degree (or equivalent) in one of the following subjects: -   Computer Science, Informatics, Joint Computing & Maths, Robotics, Mechatronics, Cybernetics or another Engineering discipline with a strong software engineering component. A post-graduate qualification, ideally a PhD, in a relevant area, or a demonstrable track record of the ability to perform novel work in a cutting edge environment on challenging projects.   Job-specific skills   Candidates are sought with knowledge and experience of Artificial Intelligence techniques as applied to robotics and robotic manipulation, in particular: -   Symbolic reasoning Task planning Machine learning: - kernel methods, neural nets/deep learning, HMMs, reinforcement learning, deep reinforcement learning The application domains include:   -   Programming by demonstration Learning by imitation Dynamic task re-planning Computer vision: - segmentation, object identification, tracking, event detection, robot guidance The primary development languages are Python and C/C++ in Linux.   Knowledge of ROS would be highly desirable.   What we can offer you   Technically stretching work is a given. We want you to push technological boundaries and create solutions to problems people haven't even thought about yet; so we'll give you the freedom and the tools and the playful, stimulating working environment you need to do what's never been done before. While red tape's conspicuous by its absence, rewards are plentiful: as well as a competitive salary, benefits include pension scheme, share scheme, interest-free season ticket loan and, of course, a healthy 15% Ocado staff discount (and free delivery).   Find out more about Ocado Technology at http://www.ocadotechnology.com Please note that due to the high volume of applications we will be in contact with shortlisted candidates only. If you have not heard from us within 4 weeks, please assume your application has been unsuccessful on this occasion.

The Science and Technology Facilities Council (STFC) is one of Europe’s largest science research organisations. We’re trusted to support, enable and undertake pioneering projects in an amazing diversity of fields. Through world-class facilities and people, we’re driving ground-breaking advances in science and technology. As part of UK Research and Innovation (UKRI) STFC offers a benefits package designed to provide an excellent work/life balance. This includes 30 days’ annual leave, 10.5 public and privilege days, Christmas shut down, flexible working hours, an exceptional defined benefit pension scheme, and social and sporting activities and societies. Full details can be found on STFC’s careers pages. The Hartree Centre is transforming UK industry through high performance computing, data analytics and artificial intelligence (AI) technologies. Backed by over £170 million of government funding and significant strategic partnerships with organisations such as IBM and Atos, the Hartree Centre is home to some of the most advanced computing, data and AI technologies in the UK. From early stage SMEs to international corporations, our experts work with industry and the research community to address real life challenges and accelerate the adoption of high-performance technologies, delivering transformative gains in performance, productivity and time to market. We are on the frontline maintaining the UK's position at the forefront of industrial innovation through a range of computational services and collaborative partnerships. Our emerging technologies and internationally recognised expertise offer significant opportunities for UK industry to revolutionise processes and soak up significant economic advantages, whilst also supporting academic researchers with the tools they need to push the boundaries of pioneering UK and international science. We are a centre within the Science and Technology Facilities Council (STFC). To achieve this, we work collaboratively with a range of groups (companies of all sizes, research institutes and universities), across five core areas: Proof of technology, collaborative research and development, software development and optimisation, platform as a service and training and skills development. We are improving competitive advantage and productivity for our clients, partners and the wider community and developing the UK skills-base in future technologies. The continuing success of the Hartree Centre means we are looking to recruit talented and enthusiastic Scientists, Engineers and Technologists to work on ground breaking projects across the full range of Artificial Intelligence, specifically, Natural Language Processing, Machine Learning or Knowledge Engineering. You will work on a variety of challenging projects across a range of industry sectors (including Healthcare, Aerospace, Oil and Gas, Automotive Engineering, Transport Systems, Chemistry and Life Sciences, to name a few), utilising and enhancing your skills in Natural Language Processing, Machine Learning or Knowledge Engineering. The choice of project will depend to some extent upon your strengths, but the common thread is the application of innovative computing solutions to real industry problems. In addition, you will have the opportunity to work with the latest high-performance computing, Big Data and Artificial Intelligence technologies from Nvidia, Intel and IBM, including its world-class ‘Watson’ cognitive computing platform. Responsibilities include: identifying appropriate available technologies, as well as designing appropriate technology solutions where none are available learning and applying data centric, analytics and artificial intelligence technologies, developing ‘proofs of concept’ to demonstrate Hartree Centre capabilities to clients validating conclusions, and presenting results to clients (including advanced visualisation) defining work plans for specific Hartree Centre projects making site visits to commercial and academic partners publishing non-confidential results project management will also be a key responsibility for the Band E position. Contacts and Communication You will join a growing team of world class data scientists within the Hartree Centre, working closely with applications teams in STFC’s Scientific Computing Division and with an expanding IBM Research team based at the Daresbury site. You will work with business development personnel to develop collaborations with industrial partners and public agencies. The Hartree Centre works closely with industrial clients on specific projects, and you will also contribute to the development and delivery of these projects as needed. Some of the work will be commercial in confidence and subject to IPR rules around public disclosure. You will be working closely with teams within commercial companies. Personal Skills and Attributes You will have graduated in an appropriate discipline, preferably with a relevant graduate or post-graduate qualification and/or with relevant on the job experience in developing end-to-end Artificial Intelligence systems to take on real-world, industry-scale problems, or experience using some combination of AI technologies (involving Natural Language Processing, Machine Learning and/or Knowledge Engineering) to tackle everyday challenges in a related field such as data science. As a Band E, you will be expected to be able to directly contribute to the scoping, development, management and delivery of projects based on your understanding of state-of-the-art in AI and related fields. Through previous formal or “on the job” training, you will have in-depth experience of developing and delivering projects which employ at least one or more of the following technologies: Natural Language Processing Knowledge Engineering Machine Learning (inc. Deep Learning). While support from other members of the department is available, you should have a knowledge of software engineering and tools, the use of clusters or supercomputers, and data management. Aside from solid experience in one of the core areas of Natural Language Processing, Machine Learning or Knowledge Engineering, demonstration of knowledge and/or experience in areas, such as Human Computer Interaction, Robotics, Computer Vision, Speech and conversational user interfaces, Web-based Agents, Wearable devices and the like, will be a distinct advantage. You will need to work on diverse projects, so an ability to have informed discussions with scientists, industrial clients and academic colleagues from different domains is important. Hartree Centre projects are solution-focused, so working to a plan and within a deadline is key. For the senior Band E position you will also need to be able to demonstrate skills and experience in leading small to medium sized projects. Solid understanding of and experience implementing different project management methodologies will be an advantage. Organization Description UK Research and Innovation is a new entity that brings together nine partners to create an independent organisation with a strong voice for research and innovation, and a vision to ensure the UK maintains its world-leading position in research and innovation. More information can be found at www.ukri.org. The Science and Technology Facilities Council is a world-leading multi-disciplinary science organisation, and our goal is to deliver economic, societal, scientific and international benefits to the UK and its people – and more broadly to the world. Shortlisting (S) & Interview (I) criteria Essential: educated to degree level or equivalent in a computer science, mathematical or scientific discipline (S) solid background in mathematics, including good understanding of statistical methods (S&I) experience of working as a member of project teams, preferably on software or cross-disciplinary projects (S&I) demonstrable ability to master new tools and technologies (S&I) experience of writing software for deployment, using established technology, e.g. Python, Java, Scala, C/C++ (S&I). In addition to the above, for the Band E position you will also demonstrate: formal training (with qualifications) in at least one of: Natural Language Processing, Machine Learning, Knowledge Engineering, or other equivalent relevant discipline with a significant AI component (S&I) experience leading small to medium sized projects (S&I). Desirable: a Postgraduate degree in a computer science, mathematical or scientific discipline (S) Postgraduate research experience in at least one of: Natural Language Processing, Machine Learning, Knowledge Engineering, or other equivalent relevant discipline with a significant AI component (S&I) experience with any of the following: Human Computer Interaction, Dialogue Modelling, Robotics, Computer Vision, Speech and conversational user interfaces, Web-based Agents, Wearable devices (S&I) strong background in application of statistical methods, particularly for modelling language and linguistic behaviour (e.g. sentiment, question-answering, dialogue) (S&I) experience of big data problems and processing solutions (e.g. Hadoop Map-Reduce and Spark) (S&I) experience of data visualisation (S&I) experience of scientific programming using R, Matlab, C, C++ or Fortran (S&I) knowledge of good software engineering practice and standards, including but not limited to (S&I) continuous integration test driven development reproducibility of results software interoperability (workflow creation and optimisation) experience developing interfaces and/or glue code. UKRI supports research in areas that include animal health, agriculture and food security, and bioscience for health which includes research on animals, genetic modification and stem cell research. Whilst you may not have direct involvement in this type of research, you should consider whether this conflicts with your personal values or beliefs. To enable us to hire the very best people we will conduct a full and comprehensive pre-employment check as an essential part of the recruitment process on all individuals that are offered a position with UKRI. This will include a security check and an extreme organisations affiliation check. Employee Benefits UK Research and Innovation recognises and values employees as individuals and aim to provide a pay and rewards package that motivates staff to perform to the best of their ability. The reward package includes a flexible working scheme, a Career Average Revalued Earnings pension scheme, 30 days annual leave allowance and a number of other benefits. Developing Talent We are committed to developing employees in their roles throughout their career. Learning and development plans enable employees to continue their professional development through training and development opportunities such as e-learning, classroom training and on-the-job experiences. We encourage our employees to share their learning across teams and organisations. Equal Opportunities We strive to make decisions based on individual merit and ability. We welcome applications from all sections of the community and promote equality of opportunity in accordance with the Equality Act 2010. As holders of Disability Confident Employer status, we guarantee to interview all applicants with disabilities who meet the minimum criteria for the vacancy. As this job does not fulfil the Home Office Code of Practice criterion for obtaining sponsored migrant worker status we will be unable to apply for sponsorship for anyone not eligible to work in the UK. At interview, all shortlisted candidates are required to bring with them identification documents and original documents that prove they hold or can obtain the right to work in the UK. You can check your eligibility here:   https://www.gov.uk/check-uk-visa/y. Online applications only. Please submit a covering letter and CV ensuring that the IRC reference is included in the filename description of each document uploaded. Please note that failure to address the above criteria or submitted without a covering letter may result in your application not being considered. If you would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), are unable to apply online or do not wish to create an account but would still like to apply for a specific role, please contact us by telephone on 01793 867000. If you have not already logged into iRecruitment (including as a current employee) you will be re-directed to the login/register page by clicking the "apply now" button. If you don't have an account with us, by choosing to register you consent to UK SBS processing the information you provide as part of the Recruitment Service. You can select appropriate job alerts and notifications as part of your account preferences, and you are able to close your account (withdraw consent) should you wish to do so. Before starting your online application and inputting your personal details, please read our Privacy Notice which contains full details of how your information is processed once you have made an application.

London, United KingdomProductFull-timeWe're Phrasee. We are a fast growing, AI SaaS company HQ'd in Vauxhall, London. We work with global brands like Virgin Holidays, Gumtree and Domino's Pizza to improve their digital marketing results. Our unique tech uses artificial intelligence to create marketing language that increases response rates. We use technologies like natural language processing and machine learning to automatically create marketing language that out-performs humans. No lie! There’s nothing else like our product on the market. It’s awesome. Our growth plans are fast and global and we want YOU to be a part of it. We’re looking for a QA Tester to join our small but expanding team. You’ll be reporting to the head of product and responsible for assessing software quality through manual testing to find and report on bugs and glitches.In this role, you should have a keen eye for detail and excellent communication skills. We’re looking for someone who can devise and execute test cases and is passionate about maintaining a high level of quality. What you’ll be doing: Review and analyse system specifications Collaborate with other QA team members to develop effective strategies and test plans Collaborate with the development team to plan new automated tests Execute manual test cases and analyse results Evaluate product code according to specifications Create logs to document testing phases and defects Help other teams in the company troubleshoot issues Gather information and report bugs and errors to development teams Conduct post-release / post-implementation testing Collaborate with the product team to ensure quality throughout the software development lifecycle Requirements: Experience working with the following ESPs: Salesforce Marketing Cloud, IBM Watson Campaign Automation, Sailthru, Adobe Campaign Prior experience working with email marketing & knowledge of how enterprise brands deploy email Understanding of standard split testing methodology Prior experience of QA on an AI product, specifically; NLG or Deep Learning Experience using Clubhouse for ticket management Agile methodologies HP ALM SOAP UI – Webservice testing Postman-API testing MongoDB What's in it for you?Reward Gateway Employee DiscountsEmployee Assistance ProgramPension scheme25 days' holiday per annum, plus UK public holidaysAn incredible journey aboard one of London’s hot new scale-ups - and all of the excitement that comes along with it!

AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. We're proud to have a unique workplace culture that inspires innovation and collaboration. We believe in the potential of our people and you’ll develop beyond what you thought possible. You’ll be in a global pharmaceutical environment but also exposed to strong rigorous academic science. For example, every postdoc has an external academic mentor to ensure we are working and publishing at the highest level in a field. What’s more, you’ll have the support of a leading academic advisor, who’ll provide you with the guidance and knowledge you need to develop your career. Our Discovery Sciences team operates from truly state-of-the-art centres spanning the UK, US and Sweden. You’ll work with some of the most knowledgeable technological experts in the industry, all collaborating on high-profile drug discovery projects We offer an exciting opportunity to contribute to advances in the theoretical basis, and application of, representation, reasoning and inference approaches in knowledge graph and other network analysis – focussed on drug discovery. With high global interest in artificial intelligence (AI) across diverse settings, many challenges remain. In construction and analysis of knowledge graphs and other networks, there is opportunity to transfer learning from other areas of application (e.g. social networks, epidemiology) into the drug discovery setting. Some challenges include: (1) (in)completeness of graphs, (2) bias towards “positive” assertions of relationships, (3) optimal embedding of graph/network topologies into forms for machine learning, with improved “explainability”. This project will advance the science in these areas, with a specific focus on using machine learning for link and property prediction to aid drug target prioritisation and toxicity assessment. Both open and AstraZeneca-specific information sources will be used. You will be based at AstraZeneca but benefit from academic supervision by a fantastic leader in this field – Prof William Hamilton at McGill University. This project also synergises with other AI-oriented projects ongoing or starting at AstraZeneca, offering a great opportunity to collaborate, fostering creativity and driving broader impact of this research. We’re looking for a researcher who is highly motivated, with a keen interest in this area of study, and with the skills, self-drive and adaptability to make the most of the opportunity. You’ll benefit from sharing knowledge and ideas with a global network of other AZ postdocs and PhD students working on machine learning and other areas, in addition to the opportunity to interact closely with full-time researchers in a multi-disciplinary and dynamic drug discovery environment. Accountabilities and Responsibilities: Work independently to plan and conduct research in accordance with project aims, developed in close communication with industry and academic supervisors. Ensure research and results are scientifically robust, well documented and fully reproducible. Extension of existing, and development of new analytical approaches to prediction and reasoning using knowledge graph/networks, focussed on drug discovery Proactively engage in knowledge sharing and peer support within the AZ postdoctoral program and development of a researcher network more broadly. Write-up and publish work in peer-reviewed Journals. Present findings at national and international meetings, and in AstraZeneca Requirements and Experience: Essential First degree and PhD in a quantitative subject (e.g. Mathematics, computer science, physics, data science, bioinformatics, machine learning/AI). Research experience in machine learning. Fluency in spoken and written English Desirable PhD level experience in one or more of the following – representation learning, graph theory, network analysis and inference, knowledge graphs and reasoning, GANs or other deep learning methods. Understanding of biological concepts, data types and databases. Skills and Capabilities: Strong mathematical knowledge, especially linear algebra Programming experience and proficiency with relevant tools (e.g. Python, C++, R) and experience working in a UNIX-based distributed environment (including clusters and cloud) with software version control management (e.g. git). Experience with standard machine learning libraries (e.g. SciKit Learn, PyTorch) Data management, querying and manipulation skills– e.g. SQL and NoSQL graph-based approaches (RDF/triplestores and labelled property graphs) Understanding of network theory concepts, and use of relevant software and algorithms Collaborative and self-starting attitude Excellent communication and presentation skills, including experience in communicating across discipline boundaries This is a 3 year programme. 2 years will be a Fixed Term Contract, with a 1 year extension which will be merit based. The role will be based in Cambridge, UK with a competitive salary on offer. To apply for this position, please click the apply link below AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.

AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. We're proud to have a unique workplace culture that inspires innovation and collaboration. We believe in the potential of our people and you’ll develop beyond what you thought possible. The new R&D Oncology organisation brings together early and late oncology teams, from discovery through to late-stage development, with oncology specific Regulatory and Biometrics groups. You’ll be in a global pharmaceutical environment but also exposed to strong rigorous academic science. For example, every postdoc has an external academic mentor to ensure we are working and publishing at the highest level in a field. What’s more, you’ll have the support of a leading academic advisor, who’ll provide you with the guidance and knowledge you need to develop your career.

You will be a highly motivated individual, have a passion for differentiation and disruption and able to bring thought leadership and innovation to our organisation to effect top and bottom line improvement. Working closely with the Business transformation teams and the Group CIO on programmes that will deliver technology transformation to revolutionise the way we deliver services to our customers and run our business. You will have an instrumental role in delivering BI, AI and ML technologies and associated functionality through these programmes to drive the strategic business intelligence and data management roadmaps working with stakeholders to generate business value. As a key driver in our next phase of development, you will be responsible for the ongoing transformation and effective running of Business Intelligence Services across the group which employs 84,000 staff, serves 6,000 IT users and 8,000 clients globally. Reporting directly into the Group Chief Information Officer (CIO), this role will develop a Business Intelligence, AI, ML strategy and roadmap to support the OCS Group business strategies. Analysing technology industry and market trends you will assess the potential opportunity and impact to the enterprise, adapting our strategy and roadmap as required. You will oversee BI programmes and projects working closely with the Programme office. This position will take ownership of the design and delivery of our data architecture model, governance framework and master data management with input from Business Architects, Data Analysts, Solution Architects and the Development team. You will implement and maintain a clear set of documentation and your clear Business Intelligence vision will translate to an executable roadmap with key milestones and reporting. Responsibilities will include: Preparing and delivering the BI, AI, ML strategy and roadmap that supports our broader Business Strategy, transformation programmes and beyond, establishing stakeholder engagement, governance, peer review and reporting Actively championing and communicating the BI, AI, ML strategy and roadmapping to all stakeholders in a manner that is inclusive, appropriate for the intended audiences and readily comprehensible Providing insight on the latest opportunities in BI solutions available on the market including where Artificial Intelligence, Machine Learning, Data Lakes and Analytics can provide value and influence how we approach the markets we operate in Reviewing the status of our use of Power BI as a first step towards the execution of the BI Strategy both within the UK and Globally as directed by the Group CIO Maintaining an active understanding of key business drivers, major strategic initiatives and changes in the external market to ensure the architectural vision and roadmap remains relevant and adds value to OCS as a whole Being a key player in the delivery of our transformation programmes contributing to its success and supporting your colleagues Developing data management principles, governance and reporting that reflect a full and thorough understanding of the business direction of OCS Championing internal and external customer service and take responsibility for the effective performance of our Business Intelligence services and business wide data management ownership Experience required: Education/Qualifications Degree level education or above Relevant Business Intelligence Certifications Proven track record of delivering BI solutions using Microsoft SQL technology Working experience/Personal attributes The ideal candidate will have held the role of Senior Head of Business Intelligence or similar with previous programme responsibilities and knowledge of using Artificial Intelligence for Business Intelligence Experience of putting in place BI, AI, ML and Data Mgt governance, standards, practices and methods with a good understanding of the relevance of the business change agenda when designing, implementing and communicating Strong experience working in a complex business/IT service environment in a business leadership position Experience of working in a cross-functional, complex service company environment with management of senior level business stakeholders advantageous Career history showing progression within Business Intelligence roles within a challenging, changeable environment and a need for synergy Demonstrable thought leadership in the field of Business Intelligence In depth knowledge of technology solutions, trends and techniques with a clear understanding of what future technology can mean for business Previous experience in IoT data projects is desirable Experience of enabling the delivery of business change/development through facilitation of solutions, within large scale, complex programmes across multiple stakeholders Comfortable in operating strategically and hands-on, ensuring ownership of execution and delivery are maintained Can demonstrate business benefits of BI both internally and to external clients in simple terms to both technical and non-technical colleagues Driven, confident, outgoing and self-managing individual with a real passion for achieving high service standards and an appetite for continuous change and development Excellent influencing and negotiation skills with the ability enthuse and inspire senior business leadership Clear, concise and logical communication style suitable for all levels of the organisation Strong planning, decision-making and organisation skills, with the ability to manage conflicting demands and judge complex situations through prioritisation and pragmatic approaches. Knows when to escalate and communicate issues Personable leadership style that inspires and coaches direct reports and teams to deliver quality results. Ability to resolve differences personally and effectively Ability to think strategically, reflecting a clear understanding of organisational goals and style Financial acumen and the ability to manage complex budgets to achieve results #LI-POST

Iron Mountain Incorporated is a global business dedicated to storing, protecting and managing, information and assets.  Organisations across the globe trust us to store and protect information and assets. Thousands of local enterprises work with us, as does almost all of the FORTUNE 1000. From critical business information to geological samples, works of fine art to original recordings of treasured artists, our customers can rely on us to protect what they value and help unlock its potential.  InSight, our cloud-native content services platform, recently won us the award of Google's Cloud Technology Partner of the Year. This solution combines Iron Mountain's content analytics, data management and information governance expertise with Google Cloud's Machine Learning (ML) and Artificial Intelligence (AI) capabilities, offering a cutting edge method of optimising clients' information.  As we begin to grow the InSight solution in Europe we have created an exciting opportunity for a Business Development Executive to assume responsibility for driving sales within new and existing enterprise accounts.  To be considered for this role you will possess the following attributes:  Proven success in selling Artificial Intelligence, Machine Learning, Information Governance or other SaaS solutions in to enterprise accounts. The ability to develop solutions that map to customer requirements. Excellent written, oral and presentation skills. Strong interpersonal, planning, and analytical skills. Ability to influence and negotiate. Ability to make decisions and think in broad terms, considering the impact to the entire company. Ability to team effectively at all levels of Iron Mountain and customer personnel (to include C-level) on a wide range of topics and issues. In return Iron Mountain offers excellent remuneration, training and prospects associated with a global super brand.