8 Artificial Intelligence jobs

Innovation Machine Learning Developer and Modeller Job Reference: 176097BR Location: City of London Job Type: Full Time Your role Do you like collecting new business ideas and quickly developing solutions? Do you enjoy collaborating with a wide range of stakeholders? We’re looking for someone like that who will: – coordinate the data analytics and machine learning efforts in the Innovation Lab – be responsible for development of machine learning prototypes in the lab – be responsible for creating and maintaining a "production like" data set for prototyping – assess new technologies for processing, storing and analyzing data and recommending suitable use cases – work closely with the existing business innovation teams to understand their needs Your team You’ll be working in the IB Innovation Lab which is a small, newly-forming team of exceptionally talented engineers, mathematicians, developers and Front Office professionals. The team's aim is to help the business identify viable opportunities for innovation, and to build business cases rapidly. Our business is well suited to the curious and intellectually-honest, those who are not blockers and are committed to working collaboratively with others to help our business grow. We all play a personal part in the growth of the IB and deliver tangible results to our revenue targets, and your creativity and enthusiasm for new ideas will help drive this forward Your expertise You have: – a minimum of a Bachelor's degree – a minimum of ten years of hands on software development experience – prior experience in developing data intensive applications and working with modern data platforms (Hadoop, Exadata, Cassandra) – prior experience working in at least on iterative development methodology environment (RAD, Kanban, SCRUM, Lean) – prior experience working in multiple modern technical platforms (cloud-based solutions, mobile app development, software as a service) – experience of various relevant programming languages, with a proficient understanding of new features in Java 8 and above You are: – able to communicate enthusiastically on Innovation Lab projects and express your view in a clear and compelling manner across diverse groups – familiar with all forms of digital technologies, and passionate about and motivated by emerging technologies including those in AI and Machine Learning – familiar with data visualization tools and how to represent large complex data sets rapidly and simply – a flexible, resilient team player with a positive attitude – known for your can-do attitude when tackling daily tasks – fluent in English About us Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us? What we offer Together. That’s how we do things. We offer people around the world a supportive, challenging and diverse working environment. We value your passion and commitment, and reward your performance. Keen to achieve the work-life agility that you desire? We're open to discussing how this could work for you (and us). Take the next step Are you truly collaborative? Succeeding at UBS means respecting, understanding and trusting colleagues and clients. Challenging others and being challenged in return. Being passionate about what you do. Driving yourself forward, always wanting to do things the right way. Does that sound like you? Then you have the right stuff to join us. Apply now. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Senior Software Engineer Machine Learning & AI Solutions, RWAS Technology We are serious about data. We don’t have ping pong or a snooze room. We have a dedicated, collaborative team with meaningful shared goals who can use the most cutting-edge technology, the largest data sets, and the best analytics tools to achieve them. And we have fun on the journey! We invite you to be part of a recognized global leader still willing to challenge the status quo to improve patient care. You will be in good company, amongst some of the finest minds in Technology and Healthcare. The Role Play an essential role as part of a product engineering team, who develop healthcare web applications with machine learning components. You will lead the development of an analytics platform, both front-end and back-end components, focusing on creating an informative, smooth, and beautiful experience for the users, along with rapid customisation to client needs. You’ll build upon our microservices architecture and modular UI, ensuring the possibility of deployment in the cloud and on premise. You will work closely with our big data and machine learning teams to achieve the vision. The ability to learn extremely fast and rapidly build skills in cutting-edge technologies is essential; you will need to bring a depth of experience in full stack development and web technologies, be open about your strengths and weaknesses, and quickly identify how to move you and your team to the next step. A broad understanding of the latest data science technologies is a plus but not a requirement. You will need to understand the full range of tasks involved in constructing effective and beautiful user-facing applications, from the underlying processing to the end-user experience. If you are highly collaborative, innovative, flexible, excellent at communication, writing high quality code and taking initiative, please apply without delay! Our ideal candidate: Experience You will have a strong background in commercial software development, and will have worked on multiple web applications, both back-end and front-end, with modern languages and frameworks. You have experience working with Agile methodology such as Scrum or Kanban and familiarity with software development practices such as Continuous Integration, Behaviour-Driven Development and DevOps. You will have strong opinions on how to design high-quality, maintainable code for the long-term. You will have had some commercial experience of data exploration, cleansing, and the processing of messy data and experience working with very large datasets in SQL databases. You will have a degree in a quantitative discipline (computer science, mathematics, physics, artificial intelligence or similar). Additionally, knowledge of the latest developments in machine learning and some experience of engineering with the relevant technologies on commercial or large academic projects is welcome. Our ideal candidate: Tech Skills Significant experience (ideally long-term commercial projects) developing in at least two of the following: Go, TypeScript, JavaScript (ideally ReactJS), Python, Scala, Java, or C++. You might have a lot of experience in just one of these, but ideally you will have at least dabbled in one more. Experience working with REST architectures and API design, or GraphQL. Experience (at least one project) working with a variety of data storage and processing technologies such as SQL, Oracle, PostgreSQL, MariaDB, Redis, MongoDB, Hadoop, Spark, Kafka, Cassandra. Bonus points for working with cloud technologies such as AWS, GCP, Azure and also container systems like Docker and Kubernetes. The Team: Machine Learning & AI Solutions This high-profile team work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of very rare conditions. The team works hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWAS team, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers. We are looking for a creative, innovative, intellectually-curious Senior Data/Software Engineer to join our RWAS Technology division in London, Kings Cross. This is an exciting opportunity to be part of one of the world's leading Real World Evidence-based teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results. The Business Unit: Real-World & Analytics Solutions (RWAS) Technology “Big Data” is changing the way that the healthcare world operates and, now more than ever, the key to better patient outcomes is through better use of technology, seamlessly integrated information and analytics. Our Predictive Analytics team within the Real-World & Analytics Solutions (RWAS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our quest to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.  We invite you to join IQVIA™. IQVIA is a strong advocate of diversity and inclusion in the workplace.  We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success.  We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.

QUALIFICATIONS: Have strong Computer Science and Software Engineering foundations Ideally 2+ years experience in software engineering Be comfortable working with a couple of programming languages, preferably one of which is Python Be familiar with basic software engineering patterns and multiple programming paradigms, e.g. functional programming, OOP, etc. Have experience in developing and designing medium-sized projects, preferably libraries, frameworks or enterprise software Significant experience collaborating in a product engineering environment Experience working in highly scaled data problems (e.g, distributed computing, Spark, Kafka) Working on or contributing to frameworks and tools, either internal or open source Experience working with production AI/ML it would be a strong advantage Experience independently scoping and implementing solutions for your product Writing and collaborating on highly insightful, comprehensive code reviews Extraordinary in-depth understanding of your assets architecture, systematically thinking through potential design impacts on other teams and the company WHO YOU'LL WORK WITH You will be working to build the frameworks and libraries that our teams of Data Scientists and Data Engineers use to go from data to impact. You will leverage, develop, and master best-practices around modern tools that support rapid development of analytics solutions like Python, Spark, Luigi, Airflow and others. Who you are A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others. WHAT YOU'LL DO Your core focus will be on architecting, developing and delivering the best product possible for use by QuantumBlack and our clients. You’ll be successful in this role by; leading peer-programming sessions, helping teams with problem solving, reviewing code to ensure high standards, writing unit tests for all of your code, and working to continuously evaluate our process for optimisations. You will be able to measure your impact by the new opportunities you help unlock for our teams and clients. Through your work, you will collaboratively advance the state-of-the-art in QuantumBlack and for our clients. What you’ll learn With our focus on solving problems using data, you will learn to deeply understand the Data Science and Data Engineering process and help develop impactful and reusable patterns and abstractions used by our clients and teams. You will experience the thrill of building a growing product and evolving the engineering process to handle more users, harder problems and more advanced client situations. You’ll be able to continuously exercise your unique problem-solving skills by being involved with the most exciting new challenges that industry has to offer. Real-World Impact   – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership   – We work with the latest technologies and methodologies and offer first class learning programmes at all levels. Multidisciplinary Teamwork   - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture   – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity   – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.

Who we want Do you want to work on something that you, your friends, family and hundreds of millions of others use every day, and actually makes you smarter about how you spend your money?  What if you could do that with a bunch of really smart people in an environment that actively encourages learning, growth and individual development?  For good measure, we'll even throw in the opportunity to explore technology from the UI to the database, and everything in between, all while working on products that world's biggest brands rely on in order to maintain their place among the world's biggest brands. Every day, the Bazaarvoice engineering team tackles interesting and challenging problems across virtually every major computer science problem domain, and we do it all at a massive scale.  Whether you're interested in server-side Java, UI/UX, massive datasets, mobile/social, natural language processing, sentiment analysis, or data visualization, we've got an opportunity for you. Essential Criteria: Bachelor’s degree - Computer science or equivalent. 5+ years of software development experience. AWS or equivalent Cloud Platform experience. Demonstrated experience in a server side language such as Java or Scala, C#, Javascript, PHP, Python, or equivalent. Experience working within an agile team. Strong knowledge of data structures, algorithm, enterprise systems, and asynchronous architectures. Demonstrated experience with Github, Git, or equivalent. Right to work in the United Kingdom Desired Criteria: Proven results-oriented person with a proven track record of delivery. MapReduce experience or Elastic MapReduce. Ability to adapt to new development environments and changing business requirements. Experience with machine learning, NLP, AI, and machine vision learning tools. Experience with NoSql databases. Experience with large distributed applications, additionally building/operating highly available systems. Be able to Work well in a team environment and be able to effectively drive cross-team solutions that have complex dependencies and requirements. Be hands-on, willing to dig in and crank out code. Be focused on learning, able to explore new areas, learn new things, and quickly apply them to new problems. Be a spark, bring energy, passion and creativity to work every day. If this sounds like you, or someone you know, please give us a shout!  We'd love to talk to you directly about the opportunities that Bazaarvoice has for you About Bazaarvoice  Bazaarvoice connects brands and retailers to consumers, so that every shopping experience feels personal. From search and discovery to purchase and advocacy, Bazaarvoice’s solutions reach in-market shoppers, personalize their experiences, and give them the confidence to buy. Each month in the Bazaarvoice Network, more than a billion consumers view and share authentic content including reviews, questions and answers, and social photos across 6,000 brand and retail websites. Across the network, Bazaarvoice captures billions of shopper signals monthly - data that powers high-efficiency digital advertising and personalization with unmatched relevance. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, and Australia. For more information, visit  www.bazaarvoice.com . Why join Bazaarvoice? We’re committed to client success: There are over 5K brand and retail websites in the Bazaarvoice network. Our clients represent some of the world’s leading companies across a wide range of industries including retail, apparel, automotive, consumer electronics and travel . We’re leaders in consumer-generated content: Each month, more than one-half billion consumers view and share authentic consumer-generated content, such as ratings and reviews, curated photos, social posts and videos, about products in our network. Last year, 135K reviews were submitted each day Our network delivers: Network analytics provide insights that help marketers and advertisers provide more engaging experiences that drive brand awareness, consideration, sales, and loyalty. We’re a great place to work: We pride ourselves on our unique culture. Join a company that values passion, innovation, authenticity, generosity, respect, teamwork, and performance. Commitment to diversity and inclusion Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers.

Department overview IHS Markit is a global market leader in providing information, analytics and solutions for industries and markets that drive economies worldwide. At IHS Markit we’re currently investing in our technology and data platform to develop a number of new revenue generating products, leveraging open source and big data technologies. These include new data integration, advanced analytics, visualisation, aggregation and smart data initiatives that address new customer needs and are highly visible and strategic within the organisation. These initiatives are using best of breed technologies, such as Hadoop, Spark, Cassandra, HDFS, Kafka, SOLR and AWS along with in-house developed technologies. The successful candidate will be working in a fast paced, dynamic team environment, building brand new commercial products which are at the heart of our business. Position Summary The candidate will work on a new IHS Markit Advanced Analytics and next generation data integration platform to develop innovative analytics solutions. Working along with SMEs across industry verticals, develop Proof of Concepts (POC) for break through ideas and develop analytical products for successful POCs. The candidate will develop products across industries like Financial Markets, Aerospace & Defence, Maritime & Trade, Automobile, Energy, Technology, Media and Communication. These products would leverage vari ety of data across industries, large volumes of structured and unstructured data with varying velocity. These products use best of breed technologies and AI & Machine Learning algorithms. A sample of our products are, Dividend forecasting Leveraging data across Financial Market, Automobile, Energy, Maritime and Defence, machine learning algorithms predict dividend announcement dates and dividend amounts Terrorism event extraction and classification News from multiple sources across internet is crawled and events related to terrorism are extracted, deduped and classified using Natural Language and Deep Learning algorithms Baltic Freight Rate Index forecast Time series econometrics models predict monthly shipping freight rate indices for dry bulk commodities across several shipping routes for future 24 months Carbon Pathway optimization Using non-linear optimization techniques, identify least cost path to achieve carbon emission goals by optimal planning of power production across renewable and non-renewable sources while meeting power demand Duties and responsibilities Develop complex analytical algorithms and frameworks by being hands on modelling, data analysis and coding Partner with project leader and other data scientists in the team to build best possible data science solutions in a timely manner Work with a variety of data with varying complexities using advanced data science tools Frame optimal analytical solutions to business problems by leveraging the latest developments in Machine Learning and AI Employ efficient algorithms for data mining and visualization Research new or adapt existing machine learning approaches to novel practical problems Communicate insights and challenges effectively to different stakeholders in the organization Help gaining insights from the unique-to-the-market heterogeneous IHS Markit data through statistical/machine learning techniques Business competencies Education and experience Essential 5+ years progressive professional experience in Advanced Analytics/ Data Science Hands on experience in modelling techniques, big data tools and coding Mastery of one or more of: Python, R, Java, Scala Experience in working in teams handling complex analytical projects Experience in data visualisation techniques Knowledge of numerical optimisation methods Bachelor’s/Master’s degree in Quantitative discipline from a leading university Beneficial Experience in Natural Language Processing & Deep Leaning techniques Work experience in a team similar to Advanced Analytics in IHS Markit PhD Personal competencies Personal impact You love to solve complex problems, whether that's making the user experience as responsive as possible or understanding complex client requirements. Communication You can confidently present your own ideas and solutions, as well as guide technical discussions. Teamwork Your welcoming attitude encourages people to approach you when they have a problem you can help them solve. It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below). EEO is the Law EEO is the Law Supplement Right to Work Pay Transparency Policy E-Verify Current Colleagues If you are currently a colleague with IHS Markit please apply internally via Workday.

Conversocial is a fast-growing SaaS leader for social customer services. We help hundreds of enterprise clients across many industry sectors deliver outstanding customer experiences over social messaging and media channels. Conversocial are looking for an experienced Machine Learning Engineer / Data Scientist to join our team! It’s an exciting time to join us, as we are expanding the data science team dedicated to apply data science and machine learning technologies to help our clients maximise their customer satisfaction, while keeping it in budget. You will be empowered to be creative, innovative and bold, to solve challenging problems through exploring a wealth of structured and unstructured data from a diverse range of sources; and your findings will contribute to our product strategies and directions. In addition, working closely with a small team of highly skilled product managers, engineers and designers, you will be responsible for delivering machine learning powered software products, and for implementing the full circle of the data science process: from prototyping, evaluation, user testing, coding, all the way to deployment in production. We would like you to have: A first degree in Computer Science, Physics, Engineering, Mathematics or similar, and ideally postgraduate experience in AI, NLP, machine learning and/or predictive analysis Excellent mathematical and theoretical understanding of machine learning and statistical NLP fundamentals Practical experience in prototyping, building, deploying and evaluating machine learning and NLP applications in production and at scale Strong Python programming skills, and experience with machine learning and NLP libraries such as scikit-learn, Tensorflow, Keras, Spark Good communication and time-management skills, and the ability to work in an agile and fast paced environment Critical thinking and problem-solving skills A sense of ownership and pride in your performance and its impact on the company’s success It would be great if you also have: Expertise with NLP applications, such as document classification, sentiment analysis, conversational agents, automatic summarisation Experience with NoSQL / SQL databases like MySQL, MongoDB, RedShift, SnowFlake Experience with AWS What's it like at Conversocial? At Conversocial we focus on delivering real value to our clients: they use our software every day to delight their customers. We work closely with the product team to understand what users need and design and implement pragmatic solutions. We care about fostering a positive work environment. We are respectful and trusting, and take our work seriously but ourselves less so. You will get plenty of opportunities to discuss progress with managers and senior management via 1:1, company updates or just over the water cooler! Benefits We treat our team well @ Conversocial - here are a few of the perks: Remote Working Whilst our Product Engineering teams are based in our Central London Offices, many of the team work remotely on a regular basis. This is something we encourage and we ensure tools enable this. Learning We want our people to learn and grow so provide everyone conference allowances and unlimited books Generous Holiday Staying on your "A" game is important so taking the time to recharge the batteries is catered for. Team Lunch We get together every Monday for a team lunch.

Imagine turning your passion for Data Science, Machine Learning and Artificial Intelligence into insights, predictions and actions that could help develop medicines that change lives. Pushing the frontiers of innovation. Collaborating with some of the finest minds in their fields. Working in an environment that stimulates your curiosity, and enables you to develop your expertise and reach your potential. AstraZeneca is a global, science led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide. Artificial Intelligence (AI), including deep learning (computer algorithms inspired by biological neural networks), is revolutionising all stages of drug discovery and development from drug design to pivotal clinical trials and beyond. At AstraZeneca, we are deploying AI across the drug discovery phases to discover new connections between data, provide novel insights, accelerate scientific understanding, and increase productivity.  For example, we are using AI to help design and synthesise new drug molecules, analyse and interpret the vast amount of data from imaging studies, and for biomarker research to match the right drug to the right patient. In our clinical trials, AI is also enabling us to continuously monitor incoming safety data and alert our scientists to safety signals that need attention. As a Data Scientist and AI Graduate you will help our scientists make their data ‘AI-ready’, and integrate the latest AI advances into all our drug development programmes.  Together we will harness the power of our data and AI to deliver life-changing medicines to patients worldwide. What does the programme involve? Your two-year programme begins with an introduction to drug discovery, and how we harness the potential of Data Science, Machine Learning and Artificial Intelligence. You’ll then select two eight-month placements where you’ll apply your developing skills and experience to help us overcome challenges in some of our active research projects. Your placements will help you develop your technical skills and industry knowledge, and on our Global Graduate Development Programme you’ll develop the interpersonal and business skills that will set you up for success.Throughout the programme you’ll work alongside our experts, and take advantage of our close collaborations with leading international academic institutions and organisations to deliver work with real impact. Placements could involve… Applying the latest techniques in machine learning and artificial intelligence to preclinical data from drug projects to help detect and understand safety risks and guide the development of new medicines. Exciting work which could also help us refine, reduce and replace animal experiments. Combining innovative de novo molecule design methodologies utilizing state-of-the-art artificial intelligent technologies with chemistry automation to design novel molecules of therapeutic interest. Working with our Quantitative Clinical Pharmacology Team to optimize clinical development programs using Bayesian statistic and machine learning modelling. Developing Bayesian machine learning models for predicting the mechanism and probability of drug toxicity in liver, heart, and other organs. Incorporating existing knowledge of causal relationships and toxicity mechanisms into the prediction problem, and applying Bayesian models to account for uncertainty to improve predictions. Contributing to challenging projects using advanced Machine Learning models to improve drug discovery by generating testable hypotheses about targets, predicting compound properties, automating complex decision-making processes, and turning data into knowledge. Applying Artificial Intelligence to integrated electronic health records and genomic data to redefine cancers and help improve patient outcomes. Working with our Data & Analytics Team to identify, assess and recommend the most innovative external partners, and high impact AI technologies. Writing algorithms to support next generation natural language processing, and optimising code to enable powerful predictive models to be used across AstraZeneca. As a Data Sciences and AI Graduate you’ll discover how we’re pioneering more open innovation, and actively sharing knowledge and ideas to make the next scientific breakthrough. Essential Qualification and Skills required: Highly numerate with a strong Maths, Physics, Statistics or Computer Science focused Bachelors or Masters level qualification gained in 2018 or 2019. A postgraduate qualification in Data Science, Machine Learning, Artificial Intelligence, Computational Biology, Computational Chemistry, Bioinformatics or Cheminformatics would be advantageous, but is not essential. Innovative thinking, with enthusiasm, energy and drive. Open-minded, and ready to embrace new ideas and different perspectives. Strong critical thinking, planning, organisational and time management skills. Ability to work as part of a collaborative team that focuses unequivocally on patient needs. 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. Please note that our Assessment Centres will be in Gothenburg, Sweden on 26th of April 2019 Applications open: 8th October 2018 Applications close: 27th January 2019 Date Posted:  08-Oct-2018 Closing Date:  27-Jan-2019